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barronh/goes16_custom.ipynb

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goes16_custom.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "GOES16_AOD_and_TrueColor.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyO8Id5DwtFibDOUmR4O07Gv",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/barronh/b63731fed5cf4fd5c2d79d5545353920/goes16_custom.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "e1X1l7zYmPbM"
},
"source": [
"# Custom GOES-16 GOES-17 AOD Processing\n",
"\n",
" author: Barron H. Henderson\n",
" date: 2023-05-08\n",
"\n",
"Download, process, and plot GOES-R L2 Channel Radiances, AODC and L1b. Produce a figure that is comparable to NOAA's AerosolWatch website. https://www.star.nesdis.noaa.gov/smcd/spb/aq/AerosolWatch"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "j5peuH7Kt9zt"
},
"source": [
"# Installing Package\n",
"\n",
"Google Colab needs netcdf4 to be installed. If you are not on Google Colab, skip this step. Otherwise, run teh command below to install `netcdf4` for netcdf file read.\n",
"\n",
"To make quick easy map overlays, I am including pycno. pycno allows you to use NASA overlay formats to add coastlines, countries, and states to maps. It is very light weight compared to basemap or cartopy."
]
},
{
"cell_type": "code",
"metadata": {
"id": "C4ufNfWjm-yo",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "aad0e9ef-8f18-4ea7-c6b0-452545396994"
},
"source": [
"!pip install -qq h5netcdf pyproj s3fs geopandas"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.7/7.7 MB\u001b[0m \u001b[31m23.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.1/1.1 MB\u001b[0m \u001b[31m21.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m72.7/72.7 kB\u001b[0m \u001b[31m4.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.0/1.0 MB\u001b[0m \u001b[31m10.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m160.1/160.1 kB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.0/16.0 MB\u001b[0m \u001b[31m12.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.4/10.4 MB\u001b[0m \u001b[31m42.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m114.5/114.5 kB\u001b[0m \u001b[31m490.6 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m149.6/149.6 kB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "abyWrjOIuEtP"
},
"source": [
"# Import Packages\n",
"\n",
"Not import all libraries that will be used.\n",
"\n",
"\n",
"* `warnings` is used to warn when cahced files are used\n",
"* `xarray` is used for netcdf file manipulation and plotting. This implicitly uses `netcdf4` from above.\n",
"* `numpy` is used for numeric array manipulation\n",
"* `pandas` and `geopandas` are used for CSV and shapefiles\n",
"* `matplotlib` is used for plotting functions.\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "uRwVup0flkSi"
},
"source": [
"import matplotlib.pyplot as plt\n",
"import warnings\n",
"import s3fs\n",
"import xarray as xr\n",
"import pyproj\n",
"import pandas as pd\n",
"import geopandas as gpd\n",
"import numpy as np\n"
],
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Grab States and Counties for Plotting Later"
],
"metadata": {
"id": "DZaV2ik3yMZq"
}
},
{
"cell_type": "code",
"source": [
"!wget -N https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_county_5m.zip\n",
"!wget -N https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_state_500k.zip\n",
"cb = gpd.read_file('cb_2018_us_county_5m.zip')\n",
"sb = gpd.read_file('cb_2018_us_state_500k.zip')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0EMTqHTvpEBD",
"outputId": "41f06eb1-2813-4e4c-91a1-d161ddf49889"
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"--2023-05-08 17:32:55-- https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_county_5m.zip\n",
"Resolving www2.census.gov (www2.census.gov)... 104.66.235.36, 2600:1408:7:1bd::208c, 2600:1408:7:191::208c\n",
"Connecting to www2.census.gov (www2.census.gov)|104.66.235.36|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: unspecified [application/zip]\n",
"Saving to: ‘cb_2018_us_county_5m.zip’\n",
"\n",
"cb_2018_us_county_5 [ <=> ] 2.65M 14.3MB/s in 0.2s \n",
"\n",
"2023-05-08 17:32:56 (14.3 MB/s) - ‘cb_2018_us_county_5m.zip’ saved [2781997]\n",
"\n",
"--2023-05-08 17:32:56-- https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_state_500k.zip\n",
"Resolving www2.census.gov (www2.census.gov)... 104.66.235.36, 2600:1408:7:1bd::208c, 2600:1408:7:191::208c\n",
"Connecting to www2.census.gov (www2.census.gov)|104.66.235.36|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: unspecified [application/zip]\n",
"Saving to: ‘cb_2018_us_state_500k.zip’\n",
"\n",
"cb_2018_us_state_50 [ <=> ] 3.15M 16.1MB/s in 0.2s \n",
"\n",
"2023-05-08 17:32:56 (16.1 MB/s) - ‘cb_2018_us_state_500k.zip’ saved [3304931]\n",
"\n"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yg-00cIyuG9B"
},
"source": [
"# Explore Data on AWS"
]
},
{
"cell_type": "code",
"source": [
"awsfs = s3fs.S3FileSystem(anon=True)"
],
"metadata": {
"id": "2QaGDnTtelNm"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"source": [
"awsfs.ls('noaa-goes16/')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-83wglIKiQ4u",
"outputId": "9443b71d-f133-46e2-bec0-017aaf148236"
},
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['noaa-goes16/ABI-L1b-RadC',\n",
" 'noaa-goes16/ABI-L1b-RadF',\n",
" 'noaa-goes16/ABI-L1b-RadM',\n",
" 'noaa-goes16/ABI-L2-ACHA2KMC',\n",
" 'noaa-goes16/ABI-L2-ACHA2KMF',\n",
" 'noaa-goes16/ABI-L2-ACHA2KMM',\n",
" 'noaa-goes16/ABI-L2-ACHAC',\n",
" 'noaa-goes16/ABI-L2-ACHAF',\n",
" 'noaa-goes16/ABI-L2-ACHAM',\n",
" 'noaa-goes16/ABI-L2-ACHP2KMC',\n",
" 'noaa-goes16/ABI-L2-ACHP2KMF',\n",
" 'noaa-goes16/ABI-L2-ACHP2KMM',\n",
" 'noaa-goes16/ABI-L2-ACHTF',\n",
" 'noaa-goes16/ABI-L2-ACHTM',\n",
" 'noaa-goes16/ABI-L2-ACMC',\n",
" 'noaa-goes16/ABI-L2-ACMF',\n",
" 'noaa-goes16/ABI-L2-ACMM',\n",
" 'noaa-goes16/ABI-L2-ACTPC',\n",
" 'noaa-goes16/ABI-L2-ACTPF',\n",
" 'noaa-goes16/ABI-L2-ACTPM',\n",
" 'noaa-goes16/ABI-L2-ADPC',\n",
" 'noaa-goes16/ABI-L2-ADPF',\n",
" 'noaa-goes16/ABI-L2-ADPM',\n",
" 'noaa-goes16/ABI-L2-AICEF',\n",
" 'noaa-goes16/ABI-L2-AITAF',\n",
" 'noaa-goes16/ABI-L2-AODC',\n",
" 'noaa-goes16/ABI-L2-AODF',\n",
" 'noaa-goes16/ABI-L2-BRFC',\n",
" 'noaa-goes16/ABI-L2-BRFF',\n",
" 'noaa-goes16/ABI-L2-BRFM',\n",
" 'noaa-goes16/ABI-L2-CMIPC',\n",
" 'noaa-goes16/ABI-L2-CMIPF',\n",
" 'noaa-goes16/ABI-L2-CMIPM',\n",
" 'noaa-goes16/ABI-L2-COD2KMF',\n",
" 'noaa-goes16/ABI-L2-CODC',\n",
" 'noaa-goes16/ABI-L2-CODF',\n",
" 'noaa-goes16/ABI-L2-CPSC',\n",
" 'noaa-goes16/ABI-L2-CPSF',\n",
" 'noaa-goes16/ABI-L2-CPSM',\n",
" 'noaa-goes16/ABI-L2-CTPC',\n",
" 'noaa-goes16/ABI-L2-CTPF',\n",
" 'noaa-goes16/ABI-L2-DMWC',\n",
" 'noaa-goes16/ABI-L2-DMWF',\n",
" 'noaa-goes16/ABI-L2-DMWM',\n",
" 'noaa-goes16/ABI-L2-DMWVC',\n",
" 'noaa-goes16/ABI-L2-DMWVF',\n",
" 'noaa-goes16/ABI-L2-DMWVM',\n",
" 'noaa-goes16/ABI-L2-DSIC',\n",
" 'noaa-goes16/ABI-L2-DSIF',\n",
" 'noaa-goes16/ABI-L2-DSIM',\n",
" 'noaa-goes16/ABI-L2-DSRC',\n",
" 'noaa-goes16/ABI-L2-DSRF',\n",
" 'noaa-goes16/ABI-L2-DSRM',\n",
" 'noaa-goes16/ABI-L2-FDCC',\n",
" 'noaa-goes16/ABI-L2-FDCF',\n",
" 'noaa-goes16/ABI-L2-FDCM',\n",
" 'noaa-goes16/ABI-L2-FSCC',\n",
" 'noaa-goes16/ABI-L2-FSCF',\n",
" 'noaa-goes16/ABI-L2-FSCM',\n",
" 'noaa-goes16/ABI-L2-LSAC',\n",
" 'noaa-goes16/ABI-L2-LSAF',\n",
" 'noaa-goes16/ABI-L2-LSAM',\n",
" 'noaa-goes16/ABI-L2-LST2KMF',\n",
" 'noaa-goes16/ABI-L2-LSTC',\n",
" 'noaa-goes16/ABI-L2-LSTF',\n",
" 'noaa-goes16/ABI-L2-LSTM',\n",
" 'noaa-goes16/ABI-L2-LVMPC',\n",
" 'noaa-goes16/ABI-L2-LVMPF',\n",
" 'noaa-goes16/ABI-L2-LVMPM',\n",
" 'noaa-goes16/ABI-L2-LVTPC',\n",
" 'noaa-goes16/ABI-L2-LVTPF',\n",
" 'noaa-goes16/ABI-L2-LVTPM',\n",
" 'noaa-goes16/ABI-L2-MCMIPC',\n",
" 'noaa-goes16/ABI-L2-MCMIPF',\n",
" 'noaa-goes16/ABI-L2-MCMIPM',\n",
" 'noaa-goes16/ABI-L2-RRQPEF',\n",
" 'noaa-goes16/ABI-L2-RSRC',\n",
" 'noaa-goes16/ABI-L2-RSRF',\n",
" 'noaa-goes16/ABI-L2-SSTF',\n",
" 'noaa-goes16/ABI-L2-TPWC',\n",
" 'noaa-goes16/ABI-L2-TPWF',\n",
" 'noaa-goes16/ABI-L2-TPWM',\n",
" 'noaa-goes16/ABI-L2-VAAF',\n",
" 'noaa-goes16/Beginners_Guide_to_GOES-R_Series_Data.pdf',\n",
" 'noaa-goes16/EXIS-L1b-SFEU',\n",
" 'noaa-goes16/EXIS-L1b-SFXR',\n",
" 'noaa-goes16/GLM-L2-LCFA',\n",
" 'noaa-goes16/MAG-L1b-GEOF',\n",
" 'noaa-goes16/SEIS-L1b-EHIS',\n",
" 'noaa-goes16/SEIS-L1b-MPSH',\n",
" 'noaa-goes16/SEIS-L1b-MPSL',\n",
" 'noaa-goes16/SEIS-L1b-SGPS',\n",
" 'noaa-goes16/SUVI-L1b-Fe093',\n",
" 'noaa-goes16/SUVI-L1b-Fe131',\n",
" 'noaa-goes16/SUVI-L1b-Fe171',\n",
" 'noaa-goes16/SUVI-L1b-Fe195',\n",
" 'noaa-goes16/SUVI-L1b-Fe284',\n",
" 'noaa-goes16/SUVI-L1b-He303',\n",
" 'noaa-goes16/Version1.1_Beginners_Guide_to_GOES-R_Series_Data.pdf',\n",
" 'noaa-goes16/index.html']"
]
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "markdown",
"source": [
"Choose a date and space of interest. Make the map box bigger than the databox"
],
"metadata": {
"id": "oPGYrePeXczE"
}
},
{
"cell_type": "code",
"source": [
"date = pd.to_datetime('2023-03-08T17:00:00+0000')\n",
"mapbbox_lonlat = (-90, 25, -75, 40)\n",
"bbox_lonlat = (-85.5, 31, -83, 33)"
],
"metadata": {
"id": "ITraOvRbyR4D"
},
"execution_count": 8,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# AOD Example Plot"
],
"metadata": {
"id": "CZBhie6kiM37"
}
},
{
"cell_type": "code",
"source": [
"aodpaths = awsfs.ls(f'noaa-goes16/ABI-L2-AODC/{date:%Y/%j/%H}')\n",
"aodpaths"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CVXZw6eces5w",
"outputId": "3587610b-9469-486d-c8a6-6a1a20acd862"
},
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671711171_e20230671713544_c20230671716186.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671716171_e20230671718544_c20230671721268.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671721171_e20230671723544_c20230671726328.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671726171_e20230671728544_c20230671731228.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671731171_e20230671733544_c20230671736300.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671736171_e20230671738544_c20230671741168.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671741171_e20230671743544_c20230671746046.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671746171_e20230671748544_c20230671751157.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671751171_e20230671753544_c20230671756102.nc',\n",
" 'noaa-goes16/ABI-L2-AODC/2023/067/17/OR_ABI-L2-AODC-M6_G16_s20230671756171_e20230671758544_c20230671801127.nc']"
]
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"fo = awsfs.open(aodpaths[1])"
],
"metadata": {
"id": "F034zidoe-Vf"
},
"execution_count": 18,
"outputs": []
},
{
"cell_type": "code",
"source": [
"ds = xr.open_dataset(fo, engine='h5netcdf')\n",
"# Convert x/y from radians to x\n",
"h = ds['goes_imager_projection'].attrs['perspective_point_height']\n",
"ds.coords['x'] = ds['x'] * h\n",
"ds.coords['y'] = ds['y'] * h"
],
"metadata": {
"id": "1jdxqqEFfyWO"
},
"execution_count": 19,
"outputs": []
},
{
"cell_type": "code",
"source": [
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;DQF&#x27; (y: 1500, x: 2500)&gt;\n",
"array([[nan, nan, nan, ..., 3., 3., 3.],\n",
" [nan, nan, nan, ..., 3., 3., 3.],\n",
" [nan, nan, nan, ..., 3., 3., 3.],\n",
" ...,\n",
" [ 3., 3., 3., ..., 1., 1., 1.],\n",
" [ 3., 3., 3., ..., 1., 0., 1.],\n",
" [ 3., 3., 3., ..., 0., 0., 1.]], dtype=float32)\n",
"Coordinates:\n",
" t datetime64[ns] ...\n",
" * y (y) float64 4.588e+06 ... 1.584e+06\n",
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" y_image float32 ...\n",
" x_image float32 ...\n",
" sunglint_angle float32 ...\n",
" retrieval_local_zenith_angle float32 ...\n",
" quantitative_local_zenith_angle float32 ...\n",
" retrieval_solar_zenith_angle float32 ...\n",
" quantitative_solar_zenith_angle float32 ...\n",
" aod_product_wavelength float32 ...\n",
"Attributes: (12/13)\n",
" long_name: ABI L2+ Aerosol Optical Depth at 55...\n",
" standard_name: status_flag\n",
" valid_range: [0 3]\n",
" units: 1\n",
" grid_mapping: goes_imager_projection\n",
" cell_methods: sunglint_angle: point (no retrieval...\n",
" ... ...\n",
" flag_meanings: high_quality_retrieval_qf medium_qu...\n",
" number_of_qf_values: 4\n",
" percent_high_quality_retrieval_qf: 0.1216988\n",
" percent_medium_quality_retrieval_qf: 0.0666473\n",
" percent_low_quality_retrieval_qf: 0.099898\n",
" percent_no_retrieval_qf: 0.711756</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'DQF'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1500</li><li><span class='xr-has-index'>x</span>: 2500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f5b0f99b-1432-47b2-8839-861938755cd5' class='xr-array-in' type='checkbox' checked><label for='section-f5b0f99b-1432-47b2-8839-861938755cd5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... 2.0 2.0 2.0 1.0 1.0 0.0 0.0 1.0</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., 3., 3., 3.],\n",
" [nan, nan, nan, ..., 3., 3., 3.],\n",
" [nan, nan, nan, ..., 3., 3., 3.],\n",
" ...,\n",
" [ 3., 3., 3., ..., 1., 1., 1.],\n",
" [ 3., 3., 3., ..., 1., 0., 1.],\n",
" [ 3., 3., 3., ..., 0., 0., 1.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7d4f642a-092d-4882-88aa-eebae5c0ff92' class='xr-section-summary-in' type='checkbox' checked><label for='section-7d4f642a-092d-4882-88aa-eebae5c0ff92' class='xr-section-summary' >Coordinates: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3daba8b-5f2d-4fc1-84b4-88c8f6745af1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3daba8b-5f2d-4fc1-84b4-88c8f6745af1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94c644a4-c8e2-4921-8f8f-f24ff5fbdfef' class='xr-var-data-in' type='checkbox'><label for='data-94c644a4-c8e2-4921-8f8f-f24ff5fbdfef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>J2000 epoch mid-point between the start and end image scan in seconds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.588e+06 4.586e+06 ... 1.584e+06</div><input id='attrs-0affaec8-62b8-4ba9-926a-e1954e9c8a8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0affaec8-62b8-4ba9-926a-e1954e9c8a8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d362bd1-ccc3-48a5-a99f-fb70f9e11d73' class='xr-var-data-in' type='checkbox'><label for='data-7d362bd1-ccc3-48a5-a99f-fb70f9e11d73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4588197.756227, 4586193.738911, 4584189.721596, ..., 1588183.834942,\n",
" 1586179.817626, 1584175.800311])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.626e+06 -3.624e+06 ... 1.382e+06</div><input id='attrs-8ce6138f-0310-4e3a-86a6-fc9ed2abb17b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ce6138f-0310-4e3a-86a6-fc9ed2abb17b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be5913de-01a3-4a71-867e-145ae4b0d413' class='xr-var-data-in' type='checkbox'><label for='data-be5913de-01a3-4a71-867e-145ae4b0d413' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3626269.33231 , -3624265.314994, -3622261.297679, ..., 1377761.904463,\n",
" 1379765.921778, 1381769.939094])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2a05e84-3e28-4c2c-978e-6b7f1aad44a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2a05e84-3e28-4c2c-978e-6b7f1aad44a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69d1f469-945b-43e5-95ec-496571d23121' class='xr-var-data-in' type='checkbox'><label for='data-69d1f469-945b-43e5-95ec-496571d23121' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>GOES-R fixed grid projection y-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36ba1497-ea55-47c3-a82b-de2bee60c625' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36ba1497-ea55-47c3-a82b-de2bee60c625' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e2c6ea8-ebdf-4c4a-9334-1d216a968dad' class='xr-var-data-in' type='checkbox'><label for='data-8e2c6ea8-ebdf-4c4a-9334-1d216a968dad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>GOES-R fixed grid projection x-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sunglint_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07689533-35ad-4c93-8d0f-103a180b0823' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07689533-35ad-4c93-8d0f-103a180b0823' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d943fb3-11ee-4ec8-b16f-612255c571d1' class='xr-var-data-in' type='checkbox'><label for='data-0d943fb3-11ee-4ec8-b16f-612255c571d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>threshold angle between the line of sight to the satellite and the direction of the beam of incident solar radiation for aerosol optical depth data production</dd><dt><span>standard_name :</span></dt><dd>sunglint_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>sunglint_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0379b6c-fb63-45b5-be29-861a5a009e3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0379b6c-fb63-45b5-be29-861a5a009e3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-811c8c5a-9017-4c24-a078-dcce0b3f6fd6' class='xr-var-data-in' type='checkbox'><label for='data-811c8c5a-9017-4c24-a078-dcce0b3f6fd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good or degraded quality aerosol optical depth data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_local_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e219bf70-2ce4-4de8-8040-c41127f2cbca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e219bf70-2ce4-4de8-8040-c41127f2cbca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-777d279b-062b-44ad-929c-986703cb85c4' class='xr-var-data-in' type='checkbox'><label for='data-777d279b-062b-44ad-929c-986703cb85c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>threshold angle between the line of sight to the satellite and the local zenith at the observation target for good quality aerosol optical depth data production</dd><dt><span>standard_name :</span></dt><dd>platform_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>quantitative_local_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>retrieval_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52db6b4f-8aa0-4789-8d43-3bb55d08f59a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52db6b4f-8aa0-4789-8d43-3bb55d08f59a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b42bdee-9ed2-48d0-84e2-81ae956c8724' class='xr-var-data-in' type='checkbox'><label for='data-9b42bdee-9ed2-48d0-84e2-81ae956c8724' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>threshold angle between the line of sight to the sun and the local zenith at the observation target for good or degraded quality aerosol optical depth data production</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>retrieval_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>quantitative_solar_zenith_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dee1b671-1d52-4481-afea-1ac8bd12144d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dee1b671-1d52-4481-afea-1ac8bd12144d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e84f9ab0-317c-4f9f-a566-8b64029b7467' class='xr-var-data-in' type='checkbox'><label for='data-e84f9ab0-317c-4f9f-a566-8b64029b7467' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>threshold angle between the line of sight to the sun and the local zenith at the observation target for good quality aerosol optical depth data production</dd><dt><span>standard_name :</span></dt><dd>solar_zenith_angle</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>bounds :</span></dt><dd>quantitative_solar_zenith_angle_bounds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aod_product_wavelength</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60348171-23fe-4f8f-b274-8fb5961446f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60348171-23fe-4f8f-b274-8fb5961446f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74733ae4-e286-458e-ab6d-46b24a4126b9' class='xr-var-data-in' type='checkbox'><label for='data-74733ae4-e286-458e-ab6d-46b24a4126b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>aerosol optical depth product data wavelength</dd><dt><span>standard_name :</span></dt><dd>radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c27807e-84fa-47e7-87a3-eb15e55b8ebb' class='xr-section-summary-in' type='checkbox' ><label for='section-8c27807e-84fa-47e7-87a3-eb15e55b8ebb' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a6c0cf81-9d37-4499-b27a-dd9e46fe97d0' class='xr-index-data-in' type='checkbox'/><label for='index-a6c0cf81-9d37-4499-b27a-dd9e46fe97d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 4588197.756226748, 4586193.738911261, 4584189.7215957735,\n",
" 4582185.704280285, 4580181.686964798, 4578177.66964931,\n",
" 4576173.652333823, 4574169.635018336, 4572165.617702848,\n",
" 4570161.60038736,\n",
" ...\n",
" 1602211.956150312, 1600207.9388348246, 1598203.921519337,\n",
" 1596199.9042038494, 1594195.886888362, 1592191.8695728744,\n",
" 1590187.8522573868, 1588183.8349418992, 1586179.8176264118,\n",
" 1584175.8003109242],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=1500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-39b4d4cf-1171-46c3-88b1-8e535e2eed19' class='xr-index-data-in' type='checkbox'/><label for='index-39b4d4cf-1171-46c3-88b1-8e535e2eed19' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -3626269.332309611, -3624265.3149941238, -3622261.297678636,\n",
" -3620257.2803631485, -3618253.263047661, -3616249.2457321733,\n",
" -3614245.228416686, -3612241.2111011986, -3610237.1937857107,\n",
" -3608233.1764702233,\n",
" ...\n",
" 1363733.7832543661, 1365737.8005698535, 1367741.8178853411,\n",
" 1369745.8352008287, 1371749.8525163163, 1373753.8698318037,\n",
" 1375757.8871472913, 1377761.904462779, 1379765.9217782663,\n",
" 1381769.939093754],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=2500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3387538f-c52d-443e-ba21-c7c1abe91913' class='xr-section-summary-in' type='checkbox' ><label for='section-3387538f-c52d-443e-ba21-c7c1abe91913' class='xr-section-summary' >Attributes: <span>(13)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI L2+ Aerosol Optical Depth at 550 nm data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 3]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>sunglint_angle: point (no retrieval over sea only) retrieval_local_zenith_angle: point retrieval_solar_zenith_angle: point t: point area: point</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>flag_meanings :</span></dt><dd>high_quality_retrieval_qf medium_quality_retrieval_qf low_quality_retrieval_qf no_retrieval_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>4</dd><dt><span>percent_high_quality_retrieval_qf :</span></dt><dd>0.1216988</dd><dt><span>percent_medium_quality_retrieval_qf :</span></dt><dd>0.0666473</dd><dt><span>percent_low_quality_retrieval_qf :</span></dt><dd>0.099898</dd><dt><span>percent_no_retrieval_qf :</span></dt><dd>0.711756</dd></dl></div></li></ul></div></div>"
]
},
"metadata": {},
"execution_count": 24
}
]
},
{
"cell_type": "code",
"source": [
"qm = ds['AOD'].where(ds['DQF'] <= 1).plot(vmin=0, vmax=0.5, cmap='viridis')\n",
"sb.to_crs(proj.srs).plot(facecolor='none', edgecolor='k', ax=qm.axes);"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 406
},
"id": "VCB9EPOFgA2W",
"outputId": "f55041ab-c253-4f6f-d22f-676f3dafd95a"
},
"execution_count": 25,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "T0ss4aCfVaXK",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 423
},
"outputId": "57e78282-86c8-494f-8ba8-dc7d70d35bb8"
},
"source": [
"qm = ds['AOD'].where(ds['DQF'] <= 1).sel(\n",
" x=slice(bbox_xy[0], bbox_xy[2]),\n",
" y=slice(bbox_xy[3], bbox_xy[1])\n",
").plot(vmin=0, vmax=0.5, cmap='viridis')\n",
"cb.clip(mapbbox_lonlat).to_crs(proj.srs).plot(\n",
" facecolor='none', edgecolor='k', linewidth=0.5, alpha=0.25, ax=qm.axes\n",
")\n",
"sb.clip(mapbbox_lonlat).to_crs(proj.srs).plot(\n",
" facecolor='none', edgecolor='k', linewidth=0.5, alpha=0.25, ax=qm.axes\n",
")"
],
"execution_count": 34,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<Axes: title={'center': 't = 2023-03-08T17:17:35.829190912, y_image = 0....'}, xlabel='x', ylabel='y'>"
]
},
"metadata": {},
"execution_count": 34
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"# Color Example using L2 MCMIPC\n",
"\n",
"The L2 MCMIPC files have all color channels in a single file.\n",
"* Usefully, also on the same grid.\n",
"* Channel 1 and 3 were at 2x AODC\n",
"* Coarsened Channel 2 to match Channel "
],
"metadata": {
"id": "mauysA_RiMuk"
}
},
{
"cell_type": "code",
"source": [
"mcmippaths = awsfs.ls(f'noaa-goes16/ABI-L2-MCMIPC/{date:%Y/%j/%H}')\n",
"mcmippaths"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "aDLnmvwvihnI",
"outputId": "8f3bdfdf-e8e8-4939-89eb-470b064082dd"
},
"execution_count": 27,
"outputs": [
{
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" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671721171_e20230671723550_c20230671724094.nc',\n",
" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671726171_e20230671728559_c20230671729062.nc',\n",
" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671731171_e20230671733550_c20230671734083.nc',\n",
" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671736171_e20230671738556_c20230671739082.nc',\n",
" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671741171_e20230671743548_c20230671744097.nc',\n",
" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671746171_e20230671748544_c20230671749062.nc',\n",
" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671751171_e20230671753556_c20230671754086.nc',\n",
" 'noaa-goes16/ABI-L2-MCMIPC/2023/067/17/OR_ABI-L2-MCMIPC-M6_G16_s20230671756171_e20230671758548_c20230671759067.nc']"
]
},
"metadata": {},
"execution_count": 27
}
]
},
{
"cell_type": "code",
"source": [
"foc = awsfs.open(mcmippaths[0])\n",
"dsc = xr.open_dataset(foc, engine='h5netcdf')\n",
"# Convert x/y from radians to x\n",
"h = dsc['goes_imager_projection'].attrs['perspective_point_height']\n",
"dsc.coords['x'] = dsc['x'] * h\n",
"dsc.coords['y'] = dsc['y'] * h\n",
"dsc"
],
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"id": "M9juUGuTkX11",
"outputId": "8fe63f61-5a4c-443e-a180-c3b56db0c1ac"
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"execution_count": 28,
"outputs": [
{
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (y: 1500, x: 2500,\n",
" number_of_time_bounds: 2,\n",
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" t datetime64[ns] ...\n",
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" band_id_C16 (band) int8 ...\n",
"Dimensions without coordinates: number_of_time_bounds, number_of_image_bounds,\n",
" band\n",
"Data variables: (12/124)\n",
" CMI_C01 (y, x) float32 ...\n",
" DQF_C01 (y, x) float32 ...\n",
" CMI_C02 (y, x) float32 ...\n",
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" percent_uncorrectable_L0_errors float32 ...\n",
" dynamic_algorithm_input_data_container int32 ...\n",
" algorithm_product_version_container int32 ...\n",
"Attributes: (12/29)\n",
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" Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
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" institution: DOC/NOAA/NESDIS &gt; U.S. Department of Commerce,...\n",
" project: GOES\n",
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" timeline_id: ABI Mode 6\n",
" production_data_source: Realtime\n",
" id: 3de7fdfe-ba15-4887-9cea-69c433902434</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5ebdf17f-8eb6-41ec-b1f0-401979d6b1e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ebdf17f-8eb6-41ec-b1f0-401979d6b1e3' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 1500</li><li><span class='xr-has-index'>x</span>: 2500</li><li><span>number_of_time_bounds</span>: 2</li><li><span>number_of_image_bounds</span>: 2</li><li><span>band</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-10c0567c-0c28-4584-af0f-1c909170634d' class='xr-section-summary-in' type='checkbox' ><label for='section-10c0567c-0c28-4584-af0f-1c909170634d' class='xr-section-summary' >Coordinates: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f799105-c1d3-4189-8b1c-be402cb03d7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f799105-c1d3-4189-8b1c-be402cb03d7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07df800-4655-490c-b506-57479b0b9ad8' class='xr-var-data-in' type='checkbox'><label for='data-c07df800-4655-490c-b506-57479b0b9ad8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>J2000 epoch mid-point between the start and end image scan in seconds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.588e+06 4.586e+06 ... 1.584e+06</div><input id='attrs-a348033f-e330-4b33-8226-de1bc4e9a438' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a348033f-e330-4b33-8226-de1bc4e9a438' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f479b3b-fff0-4dda-893f-1c96337d81b8' class='xr-var-data-in' type='checkbox'><label for='data-5f479b3b-fff0-4dda-893f-1c96337d81b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([4588197.756227, 4586193.738911, 4584189.721596, ..., 1588183.834942,\n",
" 1586179.817626, 1584175.800311])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.626e+06 -3.624e+06 ... 1.382e+06</div><input id='attrs-3e28755a-c1fe-494e-aee7-cbd0800c354c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e28755a-c1fe-494e-aee7-cbd0800c354c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9949a2d9-a1dd-4d32-8ff6-0a3cdc8ae066' class='xr-var-data-in' type='checkbox'><label for='data-9949a2d9-a1dd-4d32-8ff6-0a3cdc8ae066' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3626269.33231 , -3624265.314994, -3622261.297679, ..., 1377761.904463,\n",
" 1379765.921778, 1381769.939094])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d997aaa-7b1c-48d2-8c85-446d2e2e0b83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d997aaa-7b1c-48d2-8c85-446d2e2e0b83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b0abf3a-cfcc-4b51-b248-1eb295836dde' class='xr-var-data-in' type='checkbox'><label for='data-5b0abf3a-cfcc-4b51-b248-1eb295836dde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>GOES-R fixed grid projection y-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f2399358-691d-440f-be37-77c7d94f167c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2399358-691d-440f-be37-77c7d94f167c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93d00fd2-58f3-4c01-bb25-a727365ffc65' class='xr-var-data-in' type='checkbox'><label for='data-93d00fd2-58f3-4c01-bb25-a727365ffc65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>GOES-R fixed grid projection x-coordinate center of image</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C01</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56516d88-ba82-4071-a26b-f9caede61eec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56516d88-ba82-4071-a26b-f9caede61eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3ca8153-c247-4645-aca9-c508523d95b6' class='xr-var-data-in' type='checkbox'><label for='data-c3ca8153-c247-4645-aca9-c508523d95b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 1 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C02</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9659a015-81ce-4c17-b4c9-c19c098fc514' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9659a015-81ce-4c17-b4c9-c19c098fc514' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0c32d91-b891-4b1c-a424-b7c11b7c80f7' class='xr-var-data-in' type='checkbox'><label for='data-b0c32d91-b891-4b1c-a424-b7c11b7c80f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 2 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C03</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef540c93-6d7b-4254-9c4c-84beb063f753' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef540c93-6d7b-4254-9c4c-84beb063f753' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a614dacb-7d48-40a3-81e0-5fca782211d4' class='xr-var-data-in' type='checkbox'><label for='data-a614dacb-7d48-40a3-81e0-5fca782211d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 3 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C04</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d87d4eb-2760-4607-86c8-5442e0d3362e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d87d4eb-2760-4607-86c8-5442e0d3362e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b17fb33a-c84d-49c8-902a-bcfc05248c9e' class='xr-var-data-in' type='checkbox'><label for='data-b17fb33a-c84d-49c8-902a-bcfc05248c9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 4 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C05</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f39a8600-5bc6-4e2d-8f33-9d91a2d81acf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f39a8600-5bc6-4e2d-8f33-9d91a2d81acf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8ca10f0-f0bb-48a4-b6bb-5188c2ef5c3b' class='xr-var-data-in' type='checkbox'><label for='data-f8ca10f0-f0bb-48a4-b6bb-5188c2ef5c3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 5 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C06</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d77fd717-d83a-413e-8db0-19b2b2d9d7a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d77fd717-d83a-413e-8db0-19b2b2d9d7a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88211404-ae53-4243-9270-7e2669fc32d2' class='xr-var-data-in' type='checkbox'><label for='data-88211404-ae53-4243-9270-7e2669fc32d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 6 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C07</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac3007ac-b971-43c8-95da-dc8eeb69ed3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac3007ac-b971-43c8-95da-dc8eeb69ed3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad743943-ee96-4d22-80d3-6a67ee43dcef' class='xr-var-data-in' type='checkbox'><label for='data-ad743943-ee96-4d22-80d3-6a67ee43dcef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 7 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C08</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4eb9d72c-91bb-4571-996f-a6bd9eb9d0a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4eb9d72c-91bb-4571-996f-a6bd9eb9d0a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88a7d472-0cc0-4099-a672-c49afcf3b22a' class='xr-var-data-in' type='checkbox'><label for='data-88a7d472-0cc0-4099-a672-c49afcf3b22a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 8 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C09</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8069e72f-ab8c-4085-bb38-2a719ef8f96a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8069e72f-ab8c-4085-bb38-2a719ef8f96a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9361635f-d56a-4530-9b13-c1b3005a826d' class='xr-var-data-in' type='checkbox'><label for='data-9361635f-d56a-4530-9b13-c1b3005a826d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 9 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C10</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a93dfcb-806e-4b52-937b-03e15d5a1245' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a93dfcb-806e-4b52-937b-03e15d5a1245' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dc45b7e-52b8-4483-8161-65c88751fb89' class='xr-var-data-in' type='checkbox'><label for='data-4dc45b7e-52b8-4483-8161-65c88751fb89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 10 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C11</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34de61b5-9a6b-4856-8bba-615cf0972df6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34de61b5-9a6b-4856-8bba-615cf0972df6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0302880-e596-4dd8-a112-fd6bf88ce667' class='xr-var-data-in' type='checkbox'><label for='data-e0302880-e596-4dd8-a112-fd6bf88ce667' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 11 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C12</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ccef83b2-0078-4bc2-aa06-523ed87bb71d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccef83b2-0078-4bc2-aa06-523ed87bb71d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0132d213-5f9c-429e-8af0-78e294a7f873' class='xr-var-data-in' type='checkbox'><label for='data-0132d213-5f9c-429e-8af0-78e294a7f873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 12 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C13</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f6379da-f2a2-4502-8e44-a423b659e0bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f6379da-f2a2-4502-8e44-a423b659e0bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c79a7af8-6342-426e-a4ce-886907f799a8' class='xr-var-data-in' type='checkbox'><label for='data-c79a7af8-6342-426e-a4ce-886907f799a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 13 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C14</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb859b6a-f787-4905-9275-90aa892cb43d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb859b6a-f787-4905-9275-90aa892cb43d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4addc9-3e6d-4440-ad8a-4ff0771863c7' class='xr-var-data-in' type='checkbox'><label for='data-dc4addc9-3e6d-4440-ad8a-4ff0771863c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 14 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C15</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5588fff8-7314-464a-a0f5-af674c30eba6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5588fff8-7314-464a-a0f5-af674c30eba6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0396422d-88c1-4b52-9684-05119f3113aa' class='xr-var-data-in' type='checkbox'><label for='data-0396422d-88c1-4b52-9684-05119f3113aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 15 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_C16</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7716221f-1baf-4d99-857b-58b17f973756' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7716221f-1baf-4d99-857b-58b17f973756' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab8dc684-3741-4a7d-bb3a-d0b8bac5a282' class='xr-var-data-in' type='checkbox'><label for='data-ab8dc684-3741-4a7d-bb3a-d0b8bac5a282' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI band 16 central wavelength</dd><dt><span>standard_name :</span></dt><dd>sensor_band_central_radiation_wavelength</dd><dt><span>units :</span></dt><dd>um</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C01</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e555b112-5335-42f0-b3c0-d9fa7d4aea13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e555b112-5335-42f0-b3c0-d9fa7d4aea13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5476b1bc-8392-4f7b-9616-350360586bb9' class='xr-var-data-in' type='checkbox'><label for='data-5476b1bc-8392-4f7b-9616-350360586bb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 1</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C02</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8baccfed-08c9-438c-8ac7-1c625ab498ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8baccfed-08c9-438c-8ac7-1c625ab498ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88c88198-8967-42d1-86e1-ace387f58069' class='xr-var-data-in' type='checkbox'><label for='data-88c88198-8967-42d1-86e1-ace387f58069' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 2</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C03</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f0e7dd5-96f0-4372-922c-ed448e6e681a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f0e7dd5-96f0-4372-922c-ed448e6e681a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6af50c5-0efe-4608-91b1-6bebd7614482' class='xr-var-data-in' type='checkbox'><label for='data-b6af50c5-0efe-4608-91b1-6bebd7614482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 3</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C04</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c754cd14-0676-44a7-853e-8bed51d5692e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c754cd14-0676-44a7-853e-8bed51d5692e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4210c347-d10a-4f6b-afb9-0ed5f750f835' class='xr-var-data-in' type='checkbox'><label for='data-4210c347-d10a-4f6b-afb9-0ed5f750f835' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 4</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C05</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7738bf05-06df-42a9-a170-7e316814508e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7738bf05-06df-42a9-a170-7e316814508e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-154f5c7c-6fed-48c7-bf1c-86420ee89027' class='xr-var-data-in' type='checkbox'><label for='data-154f5c7c-6fed-48c7-bf1c-86420ee89027' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 5</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C06</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bac86c9b-b90b-4189-9b1f-fffe3fd7b6cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bac86c9b-b90b-4189-9b1f-fffe3fd7b6cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce977b63-b989-4ea6-9353-06038521e947' class='xr-var-data-in' type='checkbox'><label for='data-ce977b63-b989-4ea6-9353-06038521e947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 6</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C07</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6da9e2bc-3d5d-4d82-b16e-5cef767d68b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6da9e2bc-3d5d-4d82-b16e-5cef767d68b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0e27eca-acbe-4791-98c4-92b16dcbe041' class='xr-var-data-in' type='checkbox'><label for='data-c0e27eca-acbe-4791-98c4-92b16dcbe041' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 7</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C08</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd564fe0-8d18-491f-825a-68670b2f9940' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd564fe0-8d18-491f-825a-68670b2f9940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e0bbe47-a1f0-46de-bcf0-21381260b2ca' class='xr-var-data-in' type='checkbox'><label for='data-3e0bbe47-a1f0-46de-bcf0-21381260b2ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 8</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C09</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-505d0ea9-0eda-4c3b-b09b-5d8ca65006c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-505d0ea9-0eda-4c3b-b09b-5d8ca65006c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-535fa47e-fca7-4482-9491-7b94387c2449' class='xr-var-data-in' type='checkbox'><label for='data-535fa47e-fca7-4482-9491-7b94387c2449' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 9</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C10</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc05b806-2cfe-4b1d-8036-3f14cefded88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc05b806-2cfe-4b1d-8036-3f14cefded88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d52b9fbf-2dca-4f85-aac7-da662ea76982' class='xr-var-data-in' type='checkbox'><label for='data-d52b9fbf-2dca-4f85-aac7-da662ea76982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 10</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C11</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0627d164-90df-4f9d-833d-16becc34f37d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0627d164-90df-4f9d-833d-16becc34f37d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84b08711-f69b-45a4-bd27-656d28376c3b' class='xr-var-data-in' type='checkbox'><label for='data-84b08711-f69b-45a4-bd27-656d28376c3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 11</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C12</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53fc9dfa-2d3b-40b7-b1ed-d7055385c1cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53fc9dfa-2d3b-40b7-b1ed-d7055385c1cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f6666e7-7c07-4cff-b3e2-b61ca5363b77' class='xr-var-data-in' type='checkbox'><label for='data-7f6666e7-7c07-4cff-b3e2-b61ca5363b77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 12</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C13</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f38dd37-c9cf-480e-a085-6936be55b74e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f38dd37-c9cf-480e-a085-6936be55b74e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaf7bbc1-c707-4a2c-8cc0-e67937b1fec3' class='xr-var-data-in' type='checkbox'><label for='data-eaf7bbc1-c707-4a2c-8cc0-e67937b1fec3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 13</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C14</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e137bc4-70cd-4561-bb48-208b6d9aec38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e137bc4-70cd-4561-bb48-208b6d9aec38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e587d62-93fe-4187-aff5-1c9c55cb74a6' class='xr-var-data-in' type='checkbox'><label for='data-3e587d62-93fe-4187-aff5-1c9c55cb74a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 14</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C15</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fea78910-09d8-4fb8-b90d-96503760da28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fea78910-09d8-4fb8-b90d-96503760da28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f5d7a77-a39f-41c8-ac8a-d12f82c7409b' class='xr-var-data-in' type='checkbox'><label for='data-0f5d7a77-a39f-41c8-ac8a-d12f82c7409b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 15</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id_C16</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4d75e62-0d80-415f-9636-d2cdca83ced7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4d75e62-0d80-415f-9636-d2cdca83ced7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf5bfcf-ae51-422e-962a-598625018510' class='xr-var-data-in' type='checkbox'><label for='data-adf5bfcf-ae51-422e-962a-598625018510' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI channel 16</dd><dt><span>standard_name :</span></dt><dd>sensor_band_identifier</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int8]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81ea3694-b08d-468b-918c-dd02c2a09672' class='xr-section-summary-in' type='checkbox' ><label for='section-81ea3694-b08d-468b-918c-dd02c2a09672' class='xr-section-summary' >Data variables: <span>(124)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85eec21c-9a12-4598-856e-d83a1abbbe19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85eec21c-9a12-4598-856e-d83a1abbbe19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a59a4ca-0bc9-4e13-9bbe-c45bf53cbcc2' class='xr-var-data-in' type='checkbox'><label for='data-3a59a4ca-0bc9-4e13-9bbe-c45bf53cbcc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>10</dd><dt><span>downsampling_method :</span></dt><dd>average</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: sum (interval: 0.000028 rad)</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C01</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C01</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e10550a-be61-4e5b-b6b7-22857b7ba812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e10550a-be61-4e5b-b6b7-22857b7ba812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fcae367-d5cd-4d1c-bc70-d0663949934b' class='xr-var-data-in' type='checkbox'><label for='data-0fcae367-d5cd-4d1c-bc70-d0663949934b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>0.9990459</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.000954</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>1e-07</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7dcfb295-0035-4a07-903f-9cbca5ee800a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dcfb295-0035-4a07-903f-9cbca5ee800a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ceaef58-1694-4654-8820-c0201b32c9e2' class='xr-var-data-in' type='checkbox'><label for='data-8ceaef58-1694-4654-8820-c0201b32c9e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>12</dd><dt><span>downsampling_method :</span></dt><dd>average</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: sum (interval: 0.000014 rad)</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C02</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C02</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3075b8af-bb6c-4ca1-9d6c-ac02aa0b40f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3075b8af-bb6c-4ca1-9d6c-ac02aa0b40f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbea9557-7947-4f32-bb2c-232c15a078fa' class='xr-var-data-in' type='checkbox'><label for='data-cbea9557-7947-4f32-bb2c-232c15a078fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>0.9996662</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0003336</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>1e-07</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a98e5484-7f4c-4c0f-b8e3-74a2e5fbbc0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a98e5484-7f4c-4c0f-b8e3-74a2e5fbbc0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ca5bed9-b88e-441d-9e56-439f4f9155ee' class='xr-var-data-in' type='checkbox'><label for='data-2ca5bed9-b88e-441d-9e56-439f4f9155ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>10</dd><dt><span>downsampling_method :</span></dt><dd>average</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: sum (interval: 0.000028 rad)</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C03</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C03</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-baf22ec2-784a-43f5-a62e-646080985b7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-baf22ec2-784a-43f5-a62e-646080985b7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28e7d068-2698-4899-8037-7ea25364252a' class='xr-var-data-in' type='checkbox'><label for='data-28e7d068-2698-4899-8037-7ea25364252a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>0.9973308</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.002669</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>1e-07</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a86d5353-60fd-4137-b60f-1a68bf7998ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a86d5353-60fd-4137-b60f-1a68bf7998ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e431e68-589f-42b0-954c-852bbc32a63b' class='xr-var-data-in' type='checkbox'><label for='data-7e431e68-589f-42b0-954c-852bbc32a63b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>11</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C04</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C04</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33008406-df72-4c24-94a1-c49f3c85510c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33008406-df72-4c24-94a1-c49f3c85510c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-506556d8-f0ae-481e-9751-904499e3b64f' class='xr-var-data-in' type='checkbox'><label for='data-506556d8-f0ae-481e-9751-904499e3b64f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cd989cb-5609-4e0e-8c53-9f8098c1a4c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cd989cb-5609-4e0e-8c53-9f8098c1a4c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd244a74-921a-421e-9b5d-792e609dc096' class='xr-var-data-in' type='checkbox'><label for='data-cd244a74-921a-421e-9b5d-792e609dc096' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>10</dd><dt><span>downsampling_method :</span></dt><dd>average</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: sum (interval: 0.000028 rad)</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C05</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C05</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f782b511-3b0d-4060-be18-0c20094975f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f782b511-3b0d-4060-be18-0c20094975f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dd06862-5ca1-468c-8765-c81a23d27425' class='xr-var-data-in' type='checkbox'><label for='data-9dd06862-5ca1-468c-8765-c81a23d27425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>0.9999999</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>1e-07</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54cc9152-a3a4-4f34-91e0-adf55ae21abc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54cc9152-a3a4-4f34-91e0-adf55ae21abc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76acef43-fbf2-481b-99aa-2cc17594a4d8' class='xr-var-data-in' type='checkbox'><label for='data-76acef43-fbf2-481b-99aa-2cc17594a4d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>10</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C06</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C06</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-adb4eaa1-4725-4c55-b74d-fa8e4ebb1da2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adb4eaa1-4725-4c55-b74d-fa8e4ebb1da2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e8f1d2b-0782-4d35-94f3-087a07e41e0c' class='xr-var-data-in' type='checkbox'><label for='data-1e8f1d2b-0782-4d35-94f3-087a07e41e0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery reflectance factor data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afe6c1e7-3ffb-48e0-9474-c8d4fd89bc5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afe6c1e7-3ffb-48e0-9474-c8d4fd89bc5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f19147bb-bbad-4ad7-9cdb-8612796a4e97' class='xr-var-data-in' type='checkbox'><label for='data-f19147bb-bbad-4ad7-9cdb-8612796a4e97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>14</dd><dt><span>valid_range :</span></dt><dd>[ 0 16383]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C07</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C07</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76f1e7cf-6fa6-42fa-9818-da7123bf042f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76f1e7cf-6fa6-42fa-9818-da7123bf042f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a1ee858-62c6-4849-b4c0-bfb0d7158a9d' class='xr-var-data-in' type='checkbox'><label for='data-7a1ee858-62c6-4849-b4c0-bfb0d7158a9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8bc423e5-446e-4235-835c-ed70d67de118' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bc423e5-446e-4235-835c-ed70d67de118' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84a23ee1-842d-408f-a20f-6cdabcbbc7a7' class='xr-var-data-in' type='checkbox'><label for='data-84a23ee1-842d-408f-a20f-6cdabcbbc7a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>12</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C08</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C08</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c20d0794-f1cc-435d-97de-076275fe1f67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c20d0794-f1cc-435d-97de-076275fe1f67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-453b3e4d-8e89-427a-8963-eed99c5b7fa2' class='xr-var-data-in' type='checkbox'><label for='data-453b3e4d-8e89-427a-8963-eed99c5b7fa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7ffd170-4e62-4570-9843-1af4f10ee9b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7ffd170-4e62-4570-9843-1af4f10ee9b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88baf64d-e846-48c1-9e9f-ab6a7446d2a3' class='xr-var-data-in' type='checkbox'><label for='data-88baf64d-e846-48c1-9e9f-ab6a7446d2a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>11</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C09</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C09</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-697ffc67-9029-49cf-a161-1cc86556e18b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-697ffc67-9029-49cf-a161-1cc86556e18b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfee1d4f-5084-4256-8ac8-cd99b5c25dfe' class='xr-var-data-in' type='checkbox'><label for='data-cfee1d4f-5084-4256-8ac8-cd99b5c25dfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b382f80-d68b-4be6-8e20-6e9e95d1b653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b382f80-d68b-4be6-8e20-6e9e95d1b653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29f70e64-2a5b-44c7-81c9-ef77634d3932' class='xr-var-data-in' type='checkbox'><label for='data-29f70e64-2a5b-44c7-81c9-ef77634d3932' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>12</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C10</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C10</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-179d3c38-b336-40c2-9693-4170fad723d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-179d3c38-b336-40c2-9693-4170fad723d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-942286cd-d2f0-480f-a90c-140add59a4f1' class='xr-var-data-in' type='checkbox'><label for='data-942286cd-d2f0-480f-a90c-140add59a4f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8621745-896f-484d-9b74-ef94f81ddd7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8621745-896f-484d-9b74-ef94f81ddd7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8349e263-7099-497e-8bb8-2ed172b262d9' class='xr-var-data-in' type='checkbox'><label for='data-8349e263-7099-497e-8bb8-2ed172b262d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>12</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C11</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C11</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94ff0905-13c7-4bf8-939d-e7135bfe1315' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94ff0905-13c7-4bf8-939d-e7135bfe1315' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f770fc2-8e11-4bb0-b08e-d1c5ce6ab466' class='xr-var-data-in' type='checkbox'><label for='data-1f770fc2-8e11-4bb0-b08e-d1c5ce6ab466' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6edc002f-3d47-4267-bbc5-22d43ce262b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6edc002f-3d47-4267-bbc5-22d43ce262b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e91408ec-7056-4296-8a86-707873e250ee' class='xr-var-data-in' type='checkbox'><label for='data-e91408ec-7056-4296-8a86-707873e250ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>11</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C12</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C12</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-908c27b2-d2da-485d-8553-f0e539880c35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-908c27b2-d2da-485d-8553-f0e539880c35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3db3377b-3d79-4d6b-8045-68f6ebeb1165' class='xr-var-data-in' type='checkbox'><label for='data-3db3377b-3d79-4d6b-8045-68f6ebeb1165' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C13</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69e890ff-dc2f-422d-b8cc-7ec146b83663' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69e890ff-dc2f-422d-b8cc-7ec146b83663' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3e3a6a9-f29c-4c44-a68b-95ca43cb42ba' class='xr-var-data-in' type='checkbox'><label for='data-a3e3a6a9-f29c-4c44-a68b-95ca43cb42ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>12</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C13</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C13</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67013193-2afe-4205-9df3-f36d79fff26c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67013193-2afe-4205-9df3-f36d79fff26c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ce98ec9-84ce-4c88-a6ff-02248a3ed6c7' class='xr-var-data-in' type='checkbox'><label for='data-0ce98ec9-84ce-4c88-a6ff-02248a3ed6c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C14</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fdacc56-1b78-4e46-9c2b-e0506045d75c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fdacc56-1b78-4e46-9c2b-e0506045d75c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b83aa249-0964-47c7-bd20-a55b2ab4f8a3' class='xr-var-data-in' type='checkbox'><label for='data-b83aa249-0964-47c7-bd20-a55b2ab4f8a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>12</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C14</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C14</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9a85476-4471-48cc-9fab-97eb3995ea85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9a85476-4471-48cc-9fab-97eb3995ea85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-626cb335-f5a5-43e1-a617-090bbd208e73' class='xr-var-data-in' type='checkbox'><label for='data-626cb335-f5a5-43e1-a617-090bbd208e73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C15</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4ea0166-a27b-4dbf-a40f-cbfb60d7528c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4ea0166-a27b-4dbf-a40f-cbfb60d7528c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0251491f-bd90-43a0-9c8f-024e7c1e5c6b' class='xr-var-data-in' type='checkbox'><label for='data-0251491f-bd90-43a0-9c8f-024e7c1e5c6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>12</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C15</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C15</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed37ed29-ce9a-4851-8275-15ad886fc1be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed37ed29-ce9a-4851-8275-15ad886fc1be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed8f4c36-976a-4b82-935e-460a3aedea04' class='xr-var-data-in' type='checkbox'><label for='data-ed8f4c36-976a-4b82-935e-460a3aedea04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CMI_C16</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-073c9b8e-7b6d-4deb-8429-aa883c7fac2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-073c9b8e-7b6d-4deb-8429-aa883c7fac2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7573e38-20ef-4d3e-b48c-a78949aad117' class='xr-var-data-in' type='checkbox'><label for='data-a7573e38-20ef-4d3e-b48c-a78949aad117' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>10</dd><dt><span>valid_range :</span></dt><dd>[ 0 4095]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>resolution :</span></dt><dd>y: 0.000056 rad x: 0.000056 rad</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: point area: point</dd><dt><span>ancillary_variables :</span></dt><dd>DQF_C16</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF_C16</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f9bcf27-69b2-4580-bda1-42b6f6206258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f9bcf27-69b2-4580-bda1-42b6f6206258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3787eb02-fd4d-403e-ac89-0e348d088bc3' class='xr-var-data-in' type='checkbox'><label for='data-3787eb02-fd4d-403e-ac89-0e348d088bc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ABI Cloud and Moisture Imagery brightness temperature at top of atmosphere data quality flags</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4]</dd><dt><span>flag_meanings :</span></dt><dd>good_pixel_qf conditionally_usable_pixel_qf out_of_range_pixel_qf no_value_pixel_qf focal_plane_temperature_threshold_exceeded_qf</dd><dt><span>number_of_qf_values :</span></dt><dd>5</dd><dt><span>percent_good_pixel_qf :</span></dt><dd>1.0</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>0.0</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[3750000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(number_of_time_bounds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7b9fd3c-fdd7-43ce-b8fd-079ebaaa1872' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7b9fd3c-fdd7-43ce-b8fd-079ebaaa1872' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed87d8e2-b273-4745-97b1-e2775b0a79da' class='xr-var-data-in' type='checkbox'><label for='data-ed87d8e2-b273-4745-97b1-e2775b0a79da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Scan start and end times in seconds since epoch (2000-01-01 12:00:00)</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>goes_imager_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f78a30a-c546-43cd-9958-575e20d1cac4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f78a30a-c546-43cd-9958-575e20d1cac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0dcd71c-8fd3-4da8-8072-6e8ef38b60f2' class='xr-var-data-in' type='checkbox'><label for='data-b0dcd71c-8fd3-4da8-8072-6e8ef38b60f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>GOES-R ABI fixed grid projection</dd><dt><span>grid_mapping_name :</span></dt><dd>geostationary</dd><dt><span>perspective_point_height :</span></dt><dd>35786023.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.31414</dd><dt><span>inverse_flattening :</span></dt><dd>298.2572221</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>-75.0</dd><dt><span>sweep_angle_axis :</span></dt><dd>x</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>y_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82a4787f-ed68-4a5f-b2a6-ae185d736b52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82a4787f-ed68-4a5f-b2a6-ae185d736b52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e01cb1c7-cc28-4229-966d-fa2a13fc72cd' class='xr-var-data-in' type='checkbox'><label for='data-e01cb1c7-cc28-4229-966d-fa2a13fc72cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>GOES-R fixed grid projection y-coordinate north/south extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_image_bounds</span></div><div class='xr-var-dims'>(number_of_image_bounds)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73093d7f-4bb9-48b9-b387-7270880124bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73093d7f-4bb9-48b9-b387-7270880124bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20def8a1-50d1-4ddf-91c8-31bfa5762c0e' class='xr-var-data-in' type='checkbox'><label for='data-20def8a1-50d1-4ddf-91c8-31bfa5762c0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>GOES-R fixed grid projection x-coordinate west/east extent of image</dd><dt><span>units :</span></dt><dd>rad</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1cf85f8f-5732-45a1-b5e7-6188e95d317d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cf85f8f-5732-45a1-b5e7-6188e95d317d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f574081a-27b3-42a3-9981-cc6af6b269d2' class='xr-var-data-in' type='checkbox'><label for='data-f574081a-27b3-42a3-9981-cc6af6b269d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>nominal satellite subpoint latitude (platform latitude)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_subpoint_lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22bc8b2f-2b56-4708-ac39-aad4a45c2bb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22bc8b2f-2b56-4708-ac39-aad4a45c2bb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15171710-568f-45cb-ba8a-2be0bef6d0a4' class='xr-var-data-in' type='checkbox'><label for='data-15171710-568f-45cb-ba8a-2be0bef6d0a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>nominal satellite subpoint longitude (platform longitude)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nominal_satellite_height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-892025bd-8ef3-43a9-a62a-af6e715fc2f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-892025bd-8ef3-43a9-a62a-af6e715fc2f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d0a5cd8-04a1-4024-9827-7f8b884d047c' class='xr-var-data-in' type='checkbox'><label for='data-7d0a5cd8-04a1-4024-9827-7f8b884d047c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>nominal satellite height above GRS 80 ellipsoid (platform altitude)</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geospatial_lat_lon_extent</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24fce4c1-2804-43ed-b3a1-5d0f9523a862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24fce4c1-2804-43ed-b3a1-5d0f9523a862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86263518-a4a9-400b-96a9-f2e25249bff4' class='xr-var-data-in' type='checkbox'><label for='data-86263518-a4a9-400b-96a9-f2e25249bff4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geospatial latitude and longitude references</dd><dt><span>geospatial_westbound_longitude :</span></dt><dd>-152.10928</dd><dt><span>geospatial_northbound_latitude :</span></dt><dd>56.76145</dd><dt><span>geospatial_eastbound_longitude :</span></dt><dd>-52.94688</dd><dt><span>geospatial_southbound_latitude :</span></dt><dd>14.57134</dd><dt><span>geospatial_lat_center :</span></dt><dd>30.083002</dd><dt><span>geospatial_lon_center :</span></dt><dd>-87.096954</dd><dt><span>geospatial_lat_nadir :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_nadir :</span></dt><dd>-75.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C01</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b66cccb-b97f-4405-8dd3-371dafb352f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b66cccb-b97f-4405-8dd3-371dafb352f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26f4359b-c324-4985-a6ec-53337be5683b' class='xr-var-data-in' type='checkbox'><label for='data-26f4359b-c324-4985-a6ec-53337be5683b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 1 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000028 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_reflectance_factor_C01</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97167984-9aa3-4252-b30f-56ce9fee8ed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97167984-9aa3-4252-b30f-56ce9fee8ed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aa57123-9eb7-4c5e-b94c-fc3228ffb3f4' class='xr-var-data-in' type='checkbox'><label for='data-9aa57123-9eb7-4c5e-b94c-fc3228ffb3f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum reflectance factor value of band 1 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_reflectance_factor_C01</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f6bb72b0-2411-4c4e-8146-dabdd419679a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6bb72b0-2411-4c4e-8146-dabdd419679a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80991900-6cb7-4a1f-a742-b8c0822fe1ae' class='xr-var-data-in' type='checkbox'><label for='data-80991900-6cb7-4a1f-a742-b8c0822fe1ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum reflectance factor value of band 1 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_reflectance_factor_C01</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e88051c6-ae71-42b5-b312-a9a64b33ef2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e88051c6-ae71-42b5-b312-a9a64b33ef2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-241cb838-72f2-4a8e-a3c4-48d29de8d5d3' class='xr-var-data-in' type='checkbox'><label for='data-241cb838-72f2-4a8e-a3c4-48d29de8d5d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean reflectance factor value of band 1 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_reflectance_factor_C01</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2b39b9b-21c6-4d41-96da-7fa05a129f3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2b39b9b-21c6-4d41-96da-7fa05a129f3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d77d5f83-1054-4b3d-8358-1a25b8eb1558' class='xr-var-data-in' type='checkbox'><label for='data-d77d5f83-1054-4b3d-8358-1a25b8eb1558' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of reflectance factor values of band 1 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C02</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-265da3b5-6b7a-4269-b9c8-116e55cd82a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-265da3b5-6b7a-4269-b9c8-116e55cd82a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ffc71c9-543f-48ae-b4f4-a387a7c5842d' class='xr-var-data-in' type='checkbox'><label for='data-9ffc71c9-543f-48ae-b4f4-a387a7c5842d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 2 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000014 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_reflectance_factor_C02</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b051985-068f-4be3-941f-ccd67d6ba9eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b051985-068f-4be3-941f-ccd67d6ba9eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ec9989a-839c-4074-a002-77c112e5ec41' class='xr-var-data-in' type='checkbox'><label for='data-1ec9989a-839c-4074-a002-77c112e5ec41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum reflectance factor value of band 2 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000014 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_reflectance_factor_C02</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7dc654a0-6b6c-4880-892e-f53c2a2afb84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dc654a0-6b6c-4880-892e-f53c2a2afb84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bd40933-3187-4e0c-bc9c-be98da4095e1' class='xr-var-data-in' type='checkbox'><label for='data-4bd40933-3187-4e0c-bc9c-be98da4095e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum reflectance factor value of band 2 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000014 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_reflectance_factor_C02</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61ef8bfd-7361-43ba-9043-b9969a0b5b0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61ef8bfd-7361-43ba-9043-b9969a0b5b0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4563f29f-fefc-461e-8030-eaea6d93f8f4' class='xr-var-data-in' type='checkbox'><label for='data-4563f29f-fefc-461e-8030-eaea6d93f8f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean reflectance factor value of band 2 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000014 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_reflectance_factor_C02</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e19a56b-ec7a-4a43-a168-c3fc67703656' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e19a56b-ec7a-4a43-a168-c3fc67703656' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f958b1-ed94-4c17-b672-5ff1ed5792fb' class='xr-var-data-in' type='checkbox'><label for='data-f5f958b1-ed94-4c17-b672-5ff1ed5792fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of reflectance factor values of band 2 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000014 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C03</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47616149-e34f-49c7-96ac-25d18def563c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47616149-e34f-49c7-96ac-25d18def563c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ab84269-fa10-459d-a32d-8062f43c9764' class='xr-var-data-in' type='checkbox'><label for='data-4ab84269-fa10-459d-a32d-8062f43c9764' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 3 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000028 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_reflectance_factor_C03</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f5dc10a-27bb-4c14-a073-5a46db56230d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f5dc10a-27bb-4c14-a073-5a46db56230d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05fd5da7-aef6-4a6d-8b17-98dd15983a1b' class='xr-var-data-in' type='checkbox'><label for='data-05fd5da7-aef6-4a6d-8b17-98dd15983a1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum reflectance factor value of band 3 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_reflectance_factor_C03</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78de7591-eaf9-45fb-bd6f-e67c365c9082' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78de7591-eaf9-45fb-bd6f-e67c365c9082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-804c00e4-3c05-4989-a387-de60ca21ccb4' class='xr-var-data-in' type='checkbox'><label for='data-804c00e4-3c05-4989-a387-de60ca21ccb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum reflectance factor value of band 3 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_reflectance_factor_C03</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec6ae778-d330-43aa-a10c-a329a1d5bc66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec6ae778-d330-43aa-a10c-a329a1d5bc66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c87108c8-849a-4923-bc66-f89e6c981a00' class='xr-var-data-in' type='checkbox'><label for='data-c87108c8-849a-4923-bc66-f89e6c981a00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean reflectance factor value of band 3 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_reflectance_factor_C03</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3354e711-5e29-48e1-b62e-7dda9063555f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3354e711-5e29-48e1-b62e-7dda9063555f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db5e65ba-2f09-4efa-ab27-2609748caf82' class='xr-var-data-in' type='checkbox'><label for='data-db5e65ba-2f09-4efa-ab27-2609748caf82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of reflectance factor values of band 3 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C04</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb9d1287-f991-4dd7-9d3d-e02320d0f407' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb9d1287-f991-4dd7-9d3d-e02320d0f407' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1fe4335-87e6-4d9f-9008-3d7830e503bb' class='xr-var-data-in' type='checkbox'><label for='data-a1fe4335-87e6-4d9f-9008-3d7830e503bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 4 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_reflectance_factor_C04</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-375b64cd-ab4f-4051-9fdb-910b074cbea1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-375b64cd-ab4f-4051-9fdb-910b074cbea1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19bb7fb5-c6d4-42fd-abee-7b990ca45cf6' class='xr-var-data-in' type='checkbox'><label for='data-19bb7fb5-c6d4-42fd-abee-7b990ca45cf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum reflectance factor value of band 4 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_reflectance_factor_C04</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0252969-e65a-4aa8-aad0-d5e34ceab4bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0252969-e65a-4aa8-aad0-d5e34ceab4bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4b4ab8-66fb-4008-bf13-7550744e7743' class='xr-var-data-in' type='checkbox'><label for='data-dc4b4ab8-66fb-4008-bf13-7550744e7743' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum reflectance factor value of band 4 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_reflectance_factor_C04</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b35248b-5929-4fd6-a95c-bf2d1328f2ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b35248b-5929-4fd6-a95c-bf2d1328f2ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6ff4838-6a1d-473b-8cdc-5745843e0299' class='xr-var-data-in' type='checkbox'><label for='data-e6ff4838-6a1d-473b-8cdc-5745843e0299' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean reflectance factor value of band 4 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_reflectance_factor_C04</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71ea4d73-e112-4c75-b9c6-2d447e6627a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71ea4d73-e112-4c75-b9c6-2d447e6627a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21129ba8-c84b-4cab-9e31-4aa0240a793f' class='xr-var-data-in' type='checkbox'><label for='data-21129ba8-c84b-4cab-9e31-4aa0240a793f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of reflectance factor values of band 4 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C05</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0f1a265-5880-4bdc-aab3-e18ae6c10411' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0f1a265-5880-4bdc-aab3-e18ae6c10411' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b2ef5cf-4fe0-4b9d-b66a-bdf1f17b5950' class='xr-var-data-in' type='checkbox'><label for='data-0b2ef5cf-4fe0-4b9d-b66a-bdf1f17b5950' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 5 cloud and moisture imagery pixels whose value is outside valid measurement rangenumber of band 5 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000028 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_reflectance_factor_C05</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f3a3d49-dc1f-4a42-896b-c3891a981832' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f3a3d49-dc1f-4a42-896b-c3891a981832' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b12783d-d640-43cb-be59-cbe34e228854' class='xr-var-data-in' type='checkbox'><label for='data-2b12783d-d640-43cb-be59-cbe34e228854' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum reflectance factor value of band 5 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_reflectance_factor_C05</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5350714-8bf5-4406-9d5a-78173c28ea6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5350714-8bf5-4406-9d5a-78173c28ea6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cd2a110-6afe-483c-8391-e54459619e9a' class='xr-var-data-in' type='checkbox'><label for='data-2cd2a110-6afe-483c-8391-e54459619e9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum reflectance factor value of band 5 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_reflectance_factor_C05</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31f65649-9831-4291-9f00-25c26a899679' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31f65649-9831-4291-9f00-25c26a899679' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a966e7e-f7c7-4928-a5d1-9c55324f710c' class='xr-var-data-in' type='checkbox'><label for='data-6a966e7e-f7c7-4928-a5d1-9c55324f710c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean reflectance factor value of band 5 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_reflectance_factor_C05</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-514528f0-8232-48fd-ba7c-c20ff21f8d6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-514528f0-8232-48fd-ba7c-c20ff21f8d6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3e4135b-0a36-46d0-8000-cb01c115693e' class='xr-var-data-in' type='checkbox'><label for='data-b3e4135b-0a36-46d0-8000-cb01c115693e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of reflectance factor values of band 5 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000028 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C06</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-036c0458-fdc9-4b86-a643-274248c4c85c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-036c0458-fdc9-4b86-a643-274248c4c85c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a6c0e42-af34-4243-859a-8d7734cf2203' class='xr-var-data-in' type='checkbox'><label for='data-6a6c0e42-af34-4243-859a-8d7734cf2203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 6 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_reflectance_factor_C06</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b69d2b8c-aed1-463c-82b9-1cd270b9a4b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b69d2b8c-aed1-463c-82b9-1cd270b9a4b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-699d8032-c2bf-4ab5-8b56-17d348ea7608' class='xr-var-data-in' type='checkbox'><label for='data-699d8032-c2bf-4ab5-8b56-17d348ea7608' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum reflectance factor value of band 6 good and conditionally usable pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_reflectance_factor_C06</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66e223a4-6c60-48f9-bae4-511297303171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66e223a4-6c60-48f9-bae4-511297303171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d26826f5-3073-4081-9515-81ea2b4a5ecb' class='xr-var-data-in' type='checkbox'><label for='data-d26826f5-3073-4081-9515-81ea2b4a5ecb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum reflectance factor value of band 6 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_reflectance_factor_C06</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89e81025-3eb2-43eb-98fc-51154febeb24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89e81025-3eb2-43eb-98fc-51154febeb24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1c536c8-9256-4ddc-9c90-b37a1656a478' class='xr-var-data-in' type='checkbox'><label for='data-c1c536c8-9256-4ddc-9c90-b37a1656a478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean reflectance factor value of band 6 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_reflectance_factor_C06</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebe11b82-de96-444f-84ae-747f92511483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebe11b82-de96-444f-84ae-747f92511483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43045de2-50df-449e-854d-f961f78ab9fa' class='xr-var-data-in' type='checkbox'><label for='data-43045de2-50df-449e-854d-f961f78ab9fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of reflectance factor values of band 6 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_lambertian_equivalent_albedo_multiplied_by_cosine_solar_zenith_angle</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C07</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a195102d-20c6-4fd9-8dc8-45e7867ca452' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a195102d-20c6-4fd9-8dc8-45e7867ca452' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-941fe5f7-99f8-4f51-a4cf-eeb3f1fa25b5' class='xr-var-data-in' type='checkbox'><label for='data-941fe5f7-99f8-4f51-a4cf-eeb3f1fa25b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 7 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C07</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef27613b-419a-44b4-8cb3-8b0519b9a643' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef27613b-419a-44b4-8cb3-8b0519b9a643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-347002ad-3be9-48ef-8346-9c4629566761' class='xr-var-data-in' type='checkbox'><label for='data-347002ad-3be9-48ef-8346-9c4629566761' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 7 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[197.31 411.86]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C07</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d81a8d2-faaa-47b9-8ea3-f3b4f2e35c29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d81a8d2-faaa-47b9-8ea3-f3b4f2e35c29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-510424b3-b02b-4104-8a3c-617167565883' class='xr-var-data-in' type='checkbox'><label for='data-510424b3-b02b-4104-8a3c-617167565883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 7 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[197.31 411.86]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C07</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d2a25ea-f8be-406b-bca3-da6ef32bb40b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d2a25ea-f8be-406b-bca3-da6ef32bb40b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ef3d30-e095-4af8-a123-6838e5f63396' class='xr-var-data-in' type='checkbox'><label for='data-d2ef3d30-e095-4af8-a123-6838e5f63396' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 7 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[197.31 411.86]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C07</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3714e41-ad7a-4192-a832-7bfc69d08d58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3714e41-ad7a-4192-a832-7bfc69d08d58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c16550d-d8d8-4361-842c-c2d72c2b83bf' class='xr-var-data-in' type='checkbox'><label for='data-2c16550d-d8d8-4361-842c-c2d72c2b83bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 7 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C08</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1159df2-74be-408c-8c64-4aa9a9e45d83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1159df2-74be-408c-8c64-4aa9a9e45d83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0bd8856-7876-4e1f-a262-63f2cec60e8c' class='xr-var-data-in' type='checkbox'><label for='data-c0bd8856-7876-4e1f-a262-63f2cec60e8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 8 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C08</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-768cd344-ec49-4ece-9d95-86c06c2324c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-768cd344-ec49-4ece-9d95-86c06c2324c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04b1de0c-cafc-41af-8d25-217728ac4152' class='xr-var-data-in' type='checkbox'><label for='data-04b1de0c-cafc-41af-8d25-217728ac4152' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 8 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[138.05 311.06]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C08</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7583bfba-9963-461e-967f-2dc6cf7b354d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7583bfba-9963-461e-967f-2dc6cf7b354d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44269fcd-261b-46cc-ab3b-ca4f3fecd0cc' class='xr-var-data-in' type='checkbox'><label for='data-44269fcd-261b-46cc-ab3b-ca4f3fecd0cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 8 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[138.05 311.06]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C08</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80647623-fc03-4e8f-ab23-ca61d8dbbe38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80647623-fc03-4e8f-ab23-ca61d8dbbe38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b889a4c7-23ee-4427-a5ea-d8adad222ec6' class='xr-var-data-in' type='checkbox'><label for='data-b889a4c7-23ee-4427-a5ea-d8adad222ec6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 8 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[138.05 311.06]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C08</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c37802a6-5429-43bc-a558-66afa8806b03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c37802a6-5429-43bc-a558-66afa8806b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-999eb4a9-ea3d-4a5a-89b1-3ae609738c7e' class='xr-var-data-in' type='checkbox'><label for='data-999eb4a9-ea3d-4a5a-89b1-3ae609738c7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 8 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C09</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-438c300d-3535-4a9b-87d3-ec94eca50ff4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-438c300d-3535-4a9b-87d3-ec94eca50ff4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ad5c5f3-3ecc-4985-902b-d7fc3ca0a3a0' class='xr-var-data-in' type='checkbox'><label for='data-3ad5c5f3-3ecc-4985-902b-d7fc3ca0a3a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 9 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C09</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02ecb23e-f141-49a4-90fc-94b3ebadb579' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02ecb23e-f141-49a4-90fc-94b3ebadb579' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d86877bc-8f8e-4c49-8cae-a03b53ca936b' class='xr-var-data-in' type='checkbox'><label for='data-d86877bc-8f8e-4c49-8cae-a03b53ca936b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 9 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[137.7 311.08]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C09</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-901c646e-f824-4ed6-abe6-f2bc9da58cd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-901c646e-f824-4ed6-abe6-f2bc9da58cd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5942905-0dea-4cc1-901f-d936b89fc554' class='xr-var-data-in' type='checkbox'><label for='data-f5942905-0dea-4cc1-901f-d936b89fc554' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 9 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[137.7 311.08]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C09</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7f9e3ce-28b4-41ed-9ced-a4d9d705e4a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7f9e3ce-28b4-41ed-9ced-a4d9d705e4a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ef2ac6e-5f10-481c-9161-c61fc9a88139' class='xr-var-data-in' type='checkbox'><label for='data-6ef2ac6e-5f10-481c-9161-c61fc9a88139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 9 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[137.7 311.08]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C09</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-57b3e94f-1c1d-4db9-97db-415e3941b1e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57b3e94f-1c1d-4db9-97db-415e3941b1e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-353d4286-e4d7-4d37-9274-5819fd96619e' class='xr-var-data-in' type='checkbox'><label for='data-353d4286-e4d7-4d37-9274-5819fd96619e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 9 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C10</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-59b8cd91-30c5-45cf-8134-29d0c710c572' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59b8cd91-30c5-45cf-8134-29d0c710c572' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0935da82-02d0-4bb1-8031-3ce7b0adef85' class='xr-var-data-in' type='checkbox'><label for='data-0935da82-02d0-4bb1-8031-3ce7b0adef85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 10 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C10</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1cc4283-0d4e-44fd-924b-db0ea0477292' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1cc4283-0d4e-44fd-924b-db0ea0477292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66c1d887-9f13-47c4-8277-5b1815c692b4' class='xr-var-data-in' type='checkbox'><label for='data-66c1d887-9f13-47c4-8277-5b1815c692b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 10 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[126.91 331.2 ]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C10</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-59178c17-ccc2-4288-a457-79fa1892bb9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59178c17-ccc2-4288-a457-79fa1892bb9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2500fafc-68ab-4032-a0de-3a9087a02e77' class='xr-var-data-in' type='checkbox'><label for='data-2500fafc-68ab-4032-a0de-3a9087a02e77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 10 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[126.91 331.2 ]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C10</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4dfba6f0-c2c9-49ab-9a2a-2085e7e180a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dfba6f0-c2c9-49ab-9a2a-2085e7e180a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-702248c0-80e6-4bde-a8c3-41f1c66a4230' class='xr-var-data-in' type='checkbox'><label for='data-702248c0-80e6-4bde-a8c3-41f1c66a4230' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 10 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[126.91 331.2 ]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C10</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cbcc27f0-2da4-4010-a5d0-a65963441d6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbcc27f0-2da4-4010-a5d0-a65963441d6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad47e059-f062-4fef-afe4-05d7f78a91e6' class='xr-var-data-in' type='checkbox'><label for='data-ad47e059-f062-4fef-afe4-05d7f78a91e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 10 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C11</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42da3a5f-2547-4479-85e4-acf063a11286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42da3a5f-2547-4479-85e4-acf063a11286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21f9ee35-2aa4-479b-9a31-224058679370' class='xr-var-data-in' type='checkbox'><label for='data-21f9ee35-2aa4-479b-9a31-224058679370' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 11 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C11</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c99e363d-a292-42a8-ad72-bd858d3f9748' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c99e363d-a292-42a8-ad72-bd858d3f9748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0406331-ebbc-43dd-82d4-11f70d24d7cf' class='xr-var-data-in' type='checkbox'><label for='data-b0406331-ebbc-43dd-82d4-11f70d24d7cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 11 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[127.69 341.3 ]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C11</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2eb6e246-be07-438e-aa57-48b4fa9ce789' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eb6e246-be07-438e-aa57-48b4fa9ce789' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f75fb00b-ab14-4858-922a-3d26acb3fc15' class='xr-var-data-in' type='checkbox'><label for='data-f75fb00b-ab14-4858-922a-3d26acb3fc15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 11 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[127.69 341.3 ]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C11</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e81611d-1509-494f-b3ee-1ca15a3d8864' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e81611d-1509-494f-b3ee-1ca15a3d8864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38659e4d-cbb4-4a41-942f-a9e35287cc82' class='xr-var-data-in' type='checkbox'><label for='data-38659e4d-cbb4-4a41-942f-a9e35287cc82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 11 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[127.69 341.3 ]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C11</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29e5e076-4e91-4aa8-83dc-1ea83e8a7d15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29e5e076-4e91-4aa8-83dc-1ea83e8a7d15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8162b2ef-35a5-4b50-848e-b03b3820bb98' class='xr-var-data-in' type='checkbox'><label for='data-8162b2ef-35a5-4b50-848e-b03b3820bb98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 11 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C12</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3cb40a0-a1d2-4624-8cae-7f26e4ba5770' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3cb40a0-a1d2-4624-8cae-7f26e4ba5770' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec8a783a-0f95-47c3-bfba-99d29ba3aefe' class='xr-var-data-in' type='checkbox'><label for='data-ec8a783a-0f95-47c3-bfba-99d29ba3aefe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 12 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C12</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b187c15-46ac-485b-bc6d-8ef02777b690' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b187c15-46ac-485b-bc6d-8ef02777b690' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55b4c5f5-1dd4-4ce8-aafd-13f9c06f76cd' class='xr-var-data-in' type='checkbox'><label for='data-55b4c5f5-1dd4-4ce8-aafd-13f9c06f76cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 12 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[117.49 311.06]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C12</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e289f67-afea-4afa-876b-fea1f68d0bc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e289f67-afea-4afa-876b-fea1f68d0bc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74d7b52a-38dd-4ea0-a0b4-3e08aab7695e' class='xr-var-data-in' type='checkbox'><label for='data-74d7b52a-38dd-4ea0-a0b4-3e08aab7695e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 12 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[117.49 311.06]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C12</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca21d4f5-7eb2-4433-968c-4d22adabd75d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca21d4f5-7eb2-4433-968c-4d22adabd75d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20b9e4ab-d5f5-4ede-a785-4b8d177fa3e5' class='xr-var-data-in' type='checkbox'><label for='data-20b9e4ab-d5f5-4ede-a785-4b8d177fa3e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 12 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[117.49 311.06]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C12</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93a0f4c7-6215-4155-8fad-116ea93a97e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93a0f4c7-6215-4155-8fad-116ea93a97e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e3fb640-d225-49ee-a1f9-deb45a0fe9d3' class='xr-var-data-in' type='checkbox'><label for='data-5e3fb640-d225-49ee-a1f9-deb45a0fe9d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature value of band 12 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C13</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c910e998-933e-421b-86ad-3147471058ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c910e998-933e-421b-86ad-3147471058ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36cada3e-b911-4a1e-9240-64297b88f9f6' class='xr-var-data-in' type='checkbox'><label for='data-36cada3e-b911-4a1e-9240-64297b88f9f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 13 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C13</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-444bdf6b-a124-4893-b07c-c59dccd5d190' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-444bdf6b-a124-4893-b07c-c59dccd5d190' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f304151-0af4-492f-9cc2-c811df6da8da' class='xr-var-data-in' type='checkbox'><label for='data-9f304151-0af4-492f-9cc2-c811df6da8da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 13 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 89.62 341.27]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C13</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8209cdc1-5982-4eb0-b580-472cda20d62b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8209cdc1-5982-4eb0-b580-472cda20d62b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-782068c9-9edd-4b05-81b9-8a7f87a0b366' class='xr-var-data-in' type='checkbox'><label for='data-782068c9-9edd-4b05-81b9-8a7f87a0b366' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 13 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 89.62 341.27]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C13</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a7c7258-c241-4f4a-a8e8-afd38dd61569' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a7c7258-c241-4f4a-a8e8-afd38dd61569' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b2bd4d1-fc4a-4c91-ba9a-ffc1f3e9c756' class='xr-var-data-in' type='checkbox'><label for='data-1b2bd4d1-fc4a-4c91-ba9a-ffc1f3e9c756' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 13 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 89.62 341.27]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C13</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22832726-6425-40d4-b66e-c0d0badc48e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22832726-6425-40d4-b66e-c0d0badc48e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d27cb60-0045-4858-b165-8dd48a9df819' class='xr-var-data-in' type='checkbox'><label for='data-5d27cb60-0045-4858-b165-8dd48a9df819' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 13 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C14</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4cbc70af-a295-4146-abfd-56d06a77aab4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cbc70af-a295-4146-abfd-56d06a77aab4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88af18ad-ce56-4865-9dad-fbb58c77b40d' class='xr-var-data-in' type='checkbox'><label for='data-88af18ad-ce56-4865-9dad-fbb58c77b40d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 14 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C14</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6845f3a7-7dee-4b00-b8c1-26c25977abcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6845f3a7-7dee-4b00-b8c1-26c25977abcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ad878e5-ebd9-4a95-9fe3-e754164b19f4' class='xr-var-data-in' type='checkbox'><label for='data-2ad878e5-ebd9-4a95-9fe3-e754164b19f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 14 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 96.19 341.28]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C14</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c16fd095-de80-41df-9388-a382de656f3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c16fd095-de80-41df-9388-a382de656f3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f985f3e6-cf43-48d0-9e13-e36df928b453' class='xr-var-data-in' type='checkbox'><label for='data-f985f3e6-cf43-48d0-9e13-e36df928b453' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 14 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 96.19 341.28]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C14</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31482852-b99a-4afe-9ba3-2a8e2ace523c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31482852-b99a-4afe-9ba3-2a8e2ace523c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59b1d901-5be1-4bdb-8f7c-d51c7ffac83a' class='xr-var-data-in' type='checkbox'><label for='data-59b1d901-5be1-4bdb-8f7c-d51c7ffac83a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 14 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 96.19 341.28]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C14</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebad73b1-caa2-46b8-a060-cae997f8576d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebad73b1-caa2-46b8-a060-cae997f8576d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-015415f7-f969-44b8-832e-375b33c25267' class='xr-var-data-in' type='checkbox'><label for='data-015415f7-f969-44b8-832e-375b33c25267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 14 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C15</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c5ac5d8-ecfe-471d-91d2-fde33ac4f6cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c5ac5d8-ecfe-471d-91d2-fde33ac4f6cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42f092e4-68df-4b8c-b04e-6f67b533fb52' class='xr-var-data-in' type='checkbox'><label for='data-42f092e4-68df-4b8c-b04e-6f67b533fb52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 15 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C15</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0595420-bfc2-481e-b4c5-42bd01fec0e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0595420-bfc2-481e-b4c5-42bd01fec0e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d611f860-afed-47e9-9bc8-de23481f9598' class='xr-var-data-in' type='checkbox'><label for='data-d611f860-afed-47e9-9bc8-de23481f9598' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 15 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 97.38 341.28]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C15</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f12c149-55e9-4e19-9b5d-825524d9a342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f12c149-55e9-4e19-9b5d-825524d9a342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b50ad880-f614-4d2a-823d-1a0161930df3' class='xr-var-data-in' type='checkbox'><label for='data-b50ad880-f614-4d2a-823d-1a0161930df3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 15 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 97.38 341.28]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C15</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-83e2fb17-fbd0-4801-a8e0-d614bf84506b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83e2fb17-fbd0-4801-a8e0-d614bf84506b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a25286da-328c-4348-ba0b-f847746e2f73' class='xr-var-data-in' type='checkbox'><label for='data-a25286da-328c-4348-ba0b-f847746e2f73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 15 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 97.38 341.28]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C15</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b82e7890-32cc-4c23-b416-97473bdd7955' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b82e7890-32cc-4c23-b416-97473bdd7955' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b33c258d-3ce7-4226-9747-ab483fb1e595' class='xr-var-data-in' type='checkbox'><label for='data-b33c258d-3ce7-4226-9747-ab483fb1e595' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 15 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>outlier_pixel_count_C16</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec6817cc-f2a2-4d17-8652-8fe7b5a20b7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec6817cc-f2a2-4d17-8652-8fe7b5a20b7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cc45de5-0c00-4b41-ac01-17c448554066' class='xr-var-data-in' type='checkbox'><label for='data-2cc45de5-0c00-4b41-ac01-17c448554066' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of band 16 cloud and moisture imagery pixels whose value is outside valid measurement range</dd><dt><span>units :</span></dt><dd>count</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (interval: 0.000056 rad comment: good quality pixels whose values are outside valid measurement range only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_brightness_temperature_C16</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a35c52c1-4686-492a-bb92-66c77c53b53e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a35c52c1-4686-492a-bb92-66c77c53b53e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f721d6-2025-4185-91cf-0631d36a1c7a' class='xr-var-data-in' type='checkbox'><label for='data-e7f721d6-2025-4185-91cf-0631d36a1c7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>minimum top of atmosphere brightness temperature value of band 16 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 92.7 318.26]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: minimum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_brightness_temperature_C16</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8213f5c4-328a-4e67-9508-d9bb61834a22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8213f5c4-328a-4e67-9508-d9bb61834a22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4de90c61-33e8-4a35-b3d1-0ebd21df5ba4' class='xr-var-data-in' type='checkbox'><label for='data-4de90c61-33e8-4a35-b3d1-0ebd21df5ba4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>maximum top of atmosphere brightness temperature value of band 16 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 92.7 318.26]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: maximum (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_brightness_temperature_C16</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9f1a0c1-b58a-453c-9c96-249fcd7a2787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9f1a0c1-b58a-453c-9c96-249fcd7a2787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87eaaf29-0e0b-415a-bf3b-324fa780739d' class='xr-var-data-in' type='checkbox'><label for='data-87eaaf29-0e0b-415a-bf3b-324fa780739d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean top of atmosphere brightness temperature value of band 16 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>valid_range :</span></dt><dd>[ 92.7 318.26]</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: mean (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_brightness_temperature_C16</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebd2e98b-1b51-4b19-a5dc-14397726ae0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebd2e98b-1b51-4b19-a5dc-14397726ae0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b54ed51-db5a-4bde-bda5-134efe071dc1' class='xr-var-data-in' type='checkbox'><label for='data-3b54ed51-db5a-4bde-bda5-134efe071dc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>standard deviation of top of atmosphere brightness temperature values of band 16 pixels</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: standard_deviation (interval: 0.000056 rad comment: good and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_GRB_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e26ee37-7f56-477f-901c-abb2095bd15c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e26ee37-7f56-477f-901c-abb2095bd15c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bb71477-c3c8-4215-a73b-fe1f0eb71fa6' class='xr-var-data-in' type='checkbox'><label for='data-3bb71477-c3c8-4215-a73b-fe1f0eb71fa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>percent data lost due to uncorrectable GRB errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable GRB errors only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_uncorrectable_L0_errors</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25b0ab13-4525-4379-83df-22c163568b87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25b0ab13-4525-4379-83df-22c163568b87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21446d6e-536d-426b-9aec-66298e7b5561' class='xr-var-data-in' type='checkbox'><label for='data-21446d6e-536d-426b-9aec-66298e7b5561' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>percent data lost due to uncorrectable L0 errors</dd><dt><span>valid_range :</span></dt><dd>[0. 1.]</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>grid_mapping :</span></dt><dd>goes_imager_projection</dd><dt><span>cell_methods :</span></dt><dd>t: sum area: sum (uncorrectable L0 errors only)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dynamic_algorithm_input_data_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7b3d300-6437-43cc-8d94-bbf54d8c6bdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7b3d300-6437-43cc-8d94-bbf54d8c6bdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0bdffc8-d437-46e5-94a3-46e9555f8f89' class='xr-var-data-in' type='checkbox'><label for='data-c0bdffc8-d437-46e5-94a3-46e9555f8f89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>container for filenames of dynamic algorithm input data</dd><dt><span>input_ABI_L2_auxiliary_solar_zenith_angle_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_1_1km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C01_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_1_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_2_half_km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C02_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_2_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_3_1km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C03_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_3_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_4_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C04_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_5_1km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C05_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_5_2km_data :</span></dt><dd>null</dd><dt><span>input_ABI_L1b_radiance_band_6_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C06_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_7_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C07_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_8_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C08_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_9_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C09_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_10_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C10_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_11_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C11_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_12_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C12_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_13_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C13_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_14_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C14_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_15_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C15_G16_s20230671716171_e20230671718546_c*.nc</dd><dt><span>input_ABI_L1b_radiance_band_16_2km_data :</span></dt><dd>OR_ABI-L1b-RADC-M6C16_G16_s20230671716171_e20230671718546_c*.nc</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_product_version_container</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d1aa854d-d613-4848-9079-35c2c445285a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1aa854d-d613-4848-9079-35c2c445285a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e520485e-20d5-4fcd-a818-62514a562f95' class='xr-var-data-in' type='checkbox'><label for='data-e520485e-20d5-4fcd-a818-62514a562f95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>container for version filename(s) for algorithm(s) and version for product definition</dd><dt><span>algorithm_version :</span></dt><dd>OR_ABI-L2-ALG-CMIP_v01r00.zip</dd><dt><span>product_version :</span></dt><dd>v01r00</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16f64db2-5b75-4f67-af82-b3b27754ca00' class='xr-section-summary-in' type='checkbox' ><label for='section-16f64db2-5b75-4f67-af82-b3b27754ca00' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-374c3bd2-28bb-4f8c-8744-951b03d8ad9a' class='xr-index-data-in' type='checkbox'/><label for='index-374c3bd2-28bb-4f8c-8744-951b03d8ad9a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 4588197.756226748, 4586193.738911261, 4584189.7215957735,\n",
" 4582185.704280285, 4580181.686964798, 4578177.66964931,\n",
" 4576173.652333823, 4574169.635018336, 4572165.617702848,\n",
" 4570161.60038736,\n",
" ...\n",
" 1602211.956150312, 1600207.9388348246, 1598203.921519337,\n",
" 1596199.9042038494, 1594195.886888362, 1592191.8695728744,\n",
" 1590187.8522573868, 1588183.8349418992, 1586179.8176264118,\n",
" 1584175.8003109242],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=1500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-daa44f52-91f5-4d6d-b0d5-1398d9b2b21b' class='xr-index-data-in' type='checkbox'/><label for='index-daa44f52-91f5-4d6d-b0d5-1398d9b2b21b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -3626269.332309611, -3624265.3149941238, -3622261.297678636,\n",
" -3620257.2803631485, -3618253.263047661, -3616249.2457321733,\n",
" -3614245.228416686, -3612241.2111011986, -3610237.1937857107,\n",
" -3608233.1764702233,\n",
" ...\n",
" 1363733.7832543661, 1365737.8005698535, 1367741.8178853411,\n",
" 1369745.8352008287, 1371749.8525163163, 1373753.8698318037,\n",
" 1375757.8871472913, 1377761.904462779, 1379765.9217782663,\n",
" 1381769.939093754],\n",
" dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=2500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77a6358a-289b-42de-9a48-191bf5960b15' class='xr-section-summary-in' type='checkbox' ><label for='section-77a6358a-289b-42de-9a48-191bf5960b15' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>naming_authority :</span></dt><dd>gov.nesdis.noaa</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v35, 20 July 2016)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NESDIS &gt; U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Services</dd><dt><span>project :</span></dt><dd>GOES</dd><dt><span>production_site :</span></dt><dd>NSOF</dd><dt><span>production_environment :</span></dt><dd>OE</dd><dt><span>spatial_resolution :</span></dt><dd>2km at nadir</dd><dt><span>orbital_slot :</span></dt><dd>GOES-East</dd><dt><span>platform_ID :</span></dt><dd>G16</dd><dt><span>instrument_type :</span></dt><dd>GOES-R Series Advanced Baseline Imager (ABI)</dd><dt><span>scene_id :</span></dt><dd>CONUS</dd><dt><span>instrument_ID :</span></dt><dd>FM1</dd><dt><span>dataset_name :</span></dt><dd>OR_ABI-L2-MCMIPC-M6_G16_s20230671716171_e20230671718546_c20230671719066.nc</dd><dt><span>iso_series_metadata_id :</span></dt><dd>8c9e8150-3692-11e3-aa6e-0800200c9a66</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0.0.0.0</dd><dt><span>title :</span></dt><dd>ABI L2 Cloud and Moisture Imagery</dd><dt><span>summary :</span></dt><dd>Multiple reflectance and emissive channel Cloud and Moisture Imagery Products are digital maps of clouds, moisture, and atmospheric windows at visible, near-IR, and IR bands.</dd><dt><span>license :</span></dt><dd>Unclassified data. Access is restricted to approved users only.</dd><dt><span>keywords :</span></dt><dd>ATMOSPHERE &gt; ATMOSPHERIC RADIATION &gt; REFLECTANCE, SPECTRAL/ENGINEERING &gt; VISIBLE WAVELENGTHS &gt; REFLECTANCE, SPECTRAL/ENGINEERING &gt; INFRARED WAVELENGTHS &gt; BRIGHTNESS TEMPERATURE</dd><dt><span>cdm_data_type :</span></dt><dd>Image</dd><dt><span>processing_level :</span></dt><dd>National Aeronautics and Space Administration (NASA) L2</dd><dt><span>date_created :</span></dt><dd>2023-03-08T17:19:06.6Z</dd><dt><span>time_coverage_start :</span></dt><dd>2023-03-08T17:16:17.1Z</dd><dt><span>time_coverage_end :</span></dt><dd>2023-03-08T17:18:54.6Z</dd><dt><span>timeline_id :</span></dt><dd>ABI Mode 6</dd><dt><span>production_data_source :</span></dt><dd>Realtime</dd><dt><span>id :</span></dt><dd>3de7fdfe-ba15-4887-9cea-69c433902434</dd></dl></div></li></ul></div></div>"
]
},
"metadata": {},
"execution_count": 28
}
]
},
{
"cell_type": "code",
"source": [
"proj = pyproj.Proj(pyproj.CRS.from_cf(dsc['goes_imager_projection'].attrs))\n",
"bbox_xy = proj(bbox_lonlat[0], bbox_lonlat[1])\n",
"bbox_xy += proj(bbox_lonlat[2], bbox_lonlat[3])\n",
"bbox_xy"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "MbO7l13_tlEH",
"outputId": "de403a6e-5ee2-4e75-eecf-d3b70fcba54a"
},
"execution_count": 29,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(-966105.8604694902, 3168995.264621943, -720198.6969389474, 3343396.6886203517)"
]
},
"metadata": {},
"execution_count": 29
}
]
},
{
"cell_type": "code",
"source": [
"chda = xr.concat(\n",
" [\n",
" da.sel(\n",
" x=slice(bbox_xy[0], bbox_xy[2]),\n",
" y=slice(bbox_xy[3], bbox_xy[1])\n",
" )\n",
" for da in [dsc.CMI_C02, dsc.CMI_C03, dsc.CMI_C01]\n",
" ],\n",
" dim='band'\n",
").transpose('y', 'x', 'band')"
],
"metadata": {
"id": "lDZRM5NAkdsv"
},
"execution_count": 35,
"outputs": []
},
{
"cell_type": "code",
"source": [
"gamma = 1.8\n",
"coda = np.clip(chda, 0, 1)**(1 / gamma)\n",
"# Optionally apply PseudoGreen\n",
"coda[:, :, 1] = np.clip(0.45 * coda[:, :, 0] + 0.1 * coda[:, :, 1] + 0.45 * coda[:, :, 2], 0, 1)"
],
"metadata": {
"id": "QnMze4_Pvy1q"
},
"execution_count": 36,
"outputs": []
},
{
"cell_type": "code",
"source": [
"fig, ax = plt.subplots(dpi=144)\n",
"ax.pcolormesh(\n",
" coda.x, coda.y, coda.values\n",
")\n",
"xlim = ax.get_xlim()\n",
"ylim = ax.get_ylim()\n",
"#tcno.drawstates()\n",
"cb.clip(mapbbox_lonlat).to_crs(proj.srs).plot(facecolor='none', edgecolor='k', ax=ax, alpha=0.25, linewidth=0.5)\n",
"sb.clip(mapbbox_lonlat).to_crs(proj.srs).plot(facecolor='none', edgecolor='k', ax=ax)\n",
"ax.set(xlim=xlim, ylim=ylim, aspect=1);"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 604
},
"id": "qpPeGx8inA9M",
"outputId": "002a4468-e217-452d-a647-d62fcaca1612"
},
"execution_count": 37,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 921.6x691.2 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"# Color with L1b\n",
"\n",
"* Using native Channel 2 resolution\n",
"* Interpolating Channel 1 and 3 to Channel 2.\n",
"* Using extremely simplistic conversion to color"
],
"metadata": {
"id": "daQG5AJC0Fs4"
}
},
{
"cell_type": "code",
"source": [
"radpaths = awsfs.ls(f'noaa-goes16/ABI-L1b-RadC/{date:%Y/%j/%H}')\n",
"radc01paths = [p for p in radpaths if 'C01' in p]\n",
"radc02paths = [p for p in radpaths if 'C02' in p]\n",
"radc03paths = [p for p in radpaths if 'C03' in p]"
],
"metadata": {
"id": "e9dIMQwK0FEp"
},
"execution_count": 38,
"outputs": []
},
{
"cell_type": "code",
"source": [
"foc1 = awsfs.open(radc01paths[0])\n",
"# First Channel 2 file was all masked, so got second\n",
"foc2 = awsfs.open(radc02paths[1])\n",
"foc3 = awsfs.open(radc03paths[2])"
],
"metadata": {
"id": "LA3i2AcU1Wzl"
},
"execution_count": 39,
"outputs": []
},
{
"cell_type": "code",
"source": [
"dsc1 = xr.open_dataset(foc1, engine='h5netcdf')\n",
"h = dsc1['goes_imager_projection'].attrs['perspective_point_height']\n",
"dsc1.coords['x'] = dsc1['x'] * h\n",
"dsc1.coords['y'] = dsc1['y'] * h\n",
"dsc2 = xr.open_dataset(foc2, engine='h5netcdf')\n",
"h = dsc2['goes_imager_projection'].attrs['perspective_point_height']\n",
"dsc2.coords['x'] = dsc2['x'] * h\n",
"dsc2.coords['y'] = dsc2['y'] * h\n",
"dsc3 = xr.open_dataset(foc3, engine='h5netcdf')\n",
"h = dsc3['goes_imager_projection'].attrs['perspective_point_height']\n",
"dsc3.coords['x'] = dsc3['x'] * h\n",
"dsc3.coords['y'] = dsc3['y'] * h\n"
],
"metadata": {
"id": "UVlDvcVR1h02"
},
"execution_count": 40,
"outputs": []
},
{
"cell_type": "code",
"source": [
"proj = pyproj.Proj(pyproj.CRS.from_cf(dsc1['goes_imager_projection'].attrs))\n",
"bbox_xy = proj(bbox_lonlat[0], bbox_lonlat[1])\n",
"bbox_xy += proj(bbox_lonlat[2], bbox_lonlat[3])\n",
"bbox_xy"
],
"metadata": {
"id": "vC_DDNoccElh",
"outputId": "330265fd-6a4b-4269-8d40-8969e2db389a",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 43,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(-966105.8604694902, 3168995.264621943, -720198.6969389474, 3343396.6886203517)"
]
},
"metadata": {},
"execution_count": 43
}
]
},
{
"cell_type": "code",
"source": [
"refc = dsc2.Rad.sel(\n",
" x=slice(bbox_xy[0], bbox_xy[2]),\n",
" y=slice(bbox_xy[3], bbox_xy[1])\n",
")\n",
"# All values are really between 0 and 1000, so normalizing by 1000\n",
"# Channel 2 has twice the bin-width, so divide by 2000\n",
"rgb = xr.concat([refc / 1000, dsc3.Rad.interp_like(refc) / 1000, dsc1.Rad.interp_like(refc) / 1000], dim='band').transpose('y', 'x', 'band')"
],
"metadata": {
"id": "TAswoqFd30UW"
},
"execution_count": 44,
"outputs": []
},
{
"cell_type": "code",
"source": [
"gamma = 2.2\n",
"coda = np.clip(rgb, 0, 1)**(1 / gamma)\n",
"coda[:, :, 1] = np.clip(coda[:, :, 0] * 0.45 + coda[:, :, 1] * 0.1 + coda[:, :, 2] * 0.45, 0, 1)"
],
"metadata": {
"id": "IZOjlYgi5vs-"
},
"execution_count": 45,
"outputs": []
},
{
"cell_type": "code",
"source": [
"fig, ax = plt.subplots()\n",
"ax.pcolormesh(\n",
" coda.x, coda.y,\n",
" coda.transpose('y', 'x', 'band')\n",
")\n",
"xlim = ax.get_xlim()\n",
"ylim = ax.get_ylim()\n",
"cb.query('STATEFP in (\"13\", \"01\", \"12\")').to_crs(proj.srs).plot(facecolor='none', edgecolor='k', ax=ax, alpha=0.25, linewidth=0.5)\n",
"sb.query('STATEFP in (\"13\", \"01\", \"12\")').to_crs(proj.srs).plot(facecolor='none', edgecolor='k', ax=ax, alpha=0.25, linewidth=1)\n",
"#ax.set(xlim=xlim, ylim=ylim);\n",
"ax.set(xlim=(-0.95e6, -.85e6), ylim=(3.26e6, 3.32e6));\n",
"# Add custom dots\n",
"ax.plot(*proj(-85, 32.5), marker='o', markeredgecolor='blue', markerfacecolor='none', alpha=1)\n",
"ax.plot(*proj(-84.65, 32.5), marker='o', markeredgecolor='red', markerfacecolor='none', alpha=1)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 390
},
"id": "cpxPZWnv2Kos",
"outputId": "68f06a3c-bc52-4c81-ddbc-c7230eb6b989"
},
"execution_count": 46,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7fc78778f970>]"
]
},
"metadata": {},
"execution_count": 46
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "cvUWAgfGZv4U"
},
"execution_count": null,
"outputs": []
}
]
}
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