Created
February 27, 2021 04:59
-
-
Save JordanDworaczyk/8b3f1ae261e612783ef62cede95e254f to your computer and use it in GitHub Desktop.
Download and visualize GEOS data tutorial
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "standing-basement", | |
| "metadata": {}, | |
| "source": [ | |
| "# Geos data from AWS s3 Bucket Tutorial" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "infinite-republican", | |
| "metadata": {}, | |
| "source": [ | |
| "A personal tutorial for myself. It follows the [tutorial](https://github.com/HamedAlemo/visualize-goes16/blob/master/visualize_GOES16_from_AWS.ipynb \"Visualize GOES-16 Data from S3\") by Hamed Alemohammad for the most part, however, it uses the `paginator` method from `boto3` rather than following his tutorial exactly. I added notes of my own to help with my own personal understanding. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "confused-camera", | |
| "metadata": {}, | |
| "source": [ | |
| "## The NOAA Geostationary Operational Environmental Satellites (GEOS) 16 & 17 " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "resident-portrait", | |
| "metadata": {}, | |
| "source": [ | |
| "What is the GEOS satellite?" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "stuck-crystal", | |
| "metadata": {}, | |
| "source": [ | |
| "GOES satellites (GOES-16 & GOES-17) provide continuous weather imagery and monitoring of meteorological and space environment data across North America. GOES satellites provide the kind of continuous monitoring necessary for intensive data analysis. They hover continuously over one position on the surface. The satellites orbit high enough to allow for a full-disc view of the Earth. Because they stay above a fixed spot on the surface, they provide a constant vigil for the atmospheric \"triggers\" for severe weather conditions such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able to monitor storm development and track their movements." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "amazing-ambassador", | |
| "metadata": {}, | |
| "source": [ | |
| "Lets download a GEOS dataset and view its image." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "enhanced-experience", | |
| "metadata": {}, | |
| "source": [ | |
| "# Get Key for the dataset from Amazon s3 Bucket" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "supposed-wagon", | |
| "metadata": {}, | |
| "source": [ | |
| "Amazon stores the dataset using an Amazon S3 Bucket. The data is public access and viewable by anyone. We need to download the dataset from Amaon's s3 bucket. \n", | |
| "\n", | |
| "First we import `boto3` for interfacing with Amazon." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "determined-huntington", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import boto3\n", | |
| "from botocore import UNSIGNED \n", | |
| "from botocore.config import Config" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "higher-necessity", | |
| "metadata": {}, | |
| "source": [ | |
| "Then, we import `UNSIGNED` from `botocore`. This allows us to connect to Amazon s3 withought needing credenitals. This is allowed since the s3 bucket that we are using is **public access**. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "numerous-bunch", | |
| "metadata": {}, | |
| "source": [ | |
| "We also import `Config` from `botocore.config` whicih allows us to configure `boto3` to work with no signatured credentials needed." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "accredited-liechtenstein", | |
| "metadata": {}, | |
| "source": [ | |
| "## Information for pointing us toward the dataset" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "green-civilization", | |
| "metadata": {}, | |
| "source": [ | |
| "We use the information below to pinpoint the exact dataset that we are looking to find. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "opponent-drink", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "bucket_name = 'noaa-goes16'\n", | |
| "product_name = 'ABI-L1b-RadF'\n", | |
| "year = 2021\n", | |
| "day_of_year = 35\n", | |
| "hour = 14" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "convertible-healthcare", | |
| "metadata": {}, | |
| "source": [ | |
| "Refer to [this](https://docs.opendata.aws/noaa-goes16/cics-readme.html \"NOAA GOES on AWS (CICS) Documentation\") for more information\n", | |
| "for pinpointing the dataset that you are loolking to find. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "copyrighted-maria", | |
| "metadata": {}, | |
| "source": [ | |
| "## Connect to Amazon s3 bucket" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "assumed-trinity", | |
| "metadata": {}, | |
| "source": [ | |
| "Next connect to Amazon s3 bucket and use the information to find the dataset key. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "noticed-synthesis", | |
| "metadata": {}, | |
| "source": [ | |
| "We want to find the name of the file which contains our dataset. Once we have the name of the file we can access it using the `requests` package. But, we need to connect to the Amazon s3 bucket in order to get the information so that we can eventually download the file. The particular information that we are looking for is the `'Key'` attribute. Continue following the tutorial and you will see." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "departmental-tunnel", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "client = boto3.client('s3', region_name='us-east-1', config=Config(signature_version=UNSIGNED))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "sacred-austria", | |
| "metadata": {}, | |
| "source": [ | |
| "Use the `paginator` to search through the bucket of data." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "buried-gross", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "paginator = client.get_paginator('list_objects')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "boolean-conditions", | |
| "metadata": {}, | |
| "source": [ | |
| "Finally, we get to use the information to filter through the bucket of data in order to find that particular dataset that we are trying to download. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "tender-geneva", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "operation_parameters = {\n", | |
| " 'Bucket': bucket_name,\n", | |
| " 'Prefix': f'{product_name}/{year}/{day_of_year:03.0f}/{hour:02.0f}',\n", | |
| " }" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "combined-opera", | |
| "metadata": {}, | |
| "source": [ | |
| "Create an iterator to iterate through each page." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "satisfactory-going", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<botocore.paginate.PageIterator at 0x7f970f4b29e8>" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "page_iterator = paginator.paginate(**operation_parameters)\n", | |
| "page_iterator" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "coordinate-stations", | |
| "metadata": {}, | |
| "source": [ | |
| "Construct a list of pages." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "liquid-playlist", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "pages = [page for page in page_iterator]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "confused-caribbean", | |
| "metadata": {}, | |
| "source": [ | |
| "We can see what each page consists of below. In our case we only fetched one page." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "worth-pledge", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "{'ResponseMetadata': {'RequestId': '4174D82EEADE4969',\n", | |
| " 'HostId': 'qXX0zwXTQ8QpLw6C3PRjXUSIoNJ2NCpJ4AQW8vFEFwE5VX6cw0/hQg7WVHtj2zZZfy8oiVuFJqQ=',\n", | |
| " 'HTTPStatusCode': 200,\n", | |
| " 'HTTPHeaders': {'x-amz-id-2': 'qXX0zwXTQ8QpLw6C3PRjXUSIoNJ2NCpJ4AQW8vFEFwE5VX6cw0/hQg7WVHtj2zZZfy8oiVuFJqQ=',\n", | |
| " 'x-amz-request-id': '4174D82EEADE4969',\n", | |
| " 'date': 'Wed, 24 Feb 2021 22:40:48 GMT',\n", | |
| " 'x-amz-bucket-region': 'us-east-1',\n", | |
| " 'content-type': 'application/xml',\n", | |
| " 'transfer-encoding': 'chunked',\n", | |
| " 'server': 'AmazonS3'},\n", | |
| " 'RetryAttempts': 0},\n", | |
| " 'IsTruncated': False,\n", | |
| " 'Marker': '',\n", | |
| " 'Contents': [{'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C01_G16_s20210351400136_e20210351409444_c20210351409499.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 22, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"32197675a9cf43a71a8a8088c629cff5-10\"',\n", | |
| " 'Size': 81248137,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C01_G16_s20210351410136_e20210351419444_c20210351419501.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 27, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"259cb85d86e3e3336acb6f7c5d84adbc-10\"',\n", | |
| " 'Size': 83068620,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C01_G16_s20210351420136_e20210351429444_c20210351429498.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 20, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"67174c67177f22b8f2a508f22305ffaf-11\"',\n", | |
| " 'Size': 84972983,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C01_G16_s20210351430136_e20210351439443_c20210351439497.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 21, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"b368e11b69625b48f4d67ced1f4d2862-11\"',\n", | |
| " 'Size': 86916164,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C01_G16_s20210351440135_e20210351449443_c20210351449500.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 22, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"82f9a005919b8f42e034b71f0c69cc51-11\"',\n", | |
| " 'Size': 88730529,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C01_G16_s20210351450135_e20210351459443_c20210351459504.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 29, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"b7657986e751f666c8f9c832198b2c2a-11\"',\n", | |
| " 'Size': 90367618,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C02_G16_s20210351400136_e20210351409444_c20210351409477.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 11, 54, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"a3dd4d181f2b80356a9fa9f6eafe97e7-55\"',\n", | |
| " 'Size': 453086194,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C02_G16_s20210351410136_e20210351419444_c20210351419483.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 22, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"4a3c40ed7d406abe99029d9e45fffad0-55\"',\n", | |
| " 'Size': 458167988,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C02_G16_s20210351420136_e20210351429444_c20210351429484.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 31, 52, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"729c94a1164c4697ca6351bd30b22f22-56\"',\n", | |
| " 'Size': 463447787,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C02_G16_s20210351430136_e20210351439443_c20210351439474.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 41, 52, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"52255d5325d6509d2b89c913cf3ce1c4-56\"',\n", | |
| " 'Size': 468770600,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C02_G16_s20210351440135_e20210351449443_c20210351449485.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 51, 54, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"bd9fd4a5aa3cff9790e0d2248436f3e7-57\"',\n", | |
| " 'Size': 473769065,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C02_G16_s20210351450135_e20210351459443_c20210351459486.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 2, 1, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"e84f297fde42418b381bda7360db7491-58\"',\n", | |
| " 'Size': 478264009,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C03_G16_s20210351400136_e20210351409444_c20210351409512.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 22, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"883f34b5ac8be4d5b4eb7bff79516622-11\"',\n", | |
| " 'Size': 90181036,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C03_G16_s20210351410136_e20210351419444_c20210351419509.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 28, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"d93924553af4d221613016acb35dcad5-11\"',\n", | |
| " 'Size': 91879207,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C03_G16_s20210351420136_e20210351429444_c20210351429502.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 22, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1858d8bf188aee322e0590fbdee5d7c2-12\"',\n", | |
| " 'Size': 93581476,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C03_G16_s20210351430136_e20210351439444_c20210351439508.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 25, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1040c4b21b7c8216407ef12f8259519f-12\"',\n", | |
| " 'Size': 95298951,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C03_G16_s20210351440135_e20210351449443_c20210351449503.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 23, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"f3a0c8970fea81d44bc62a1fd6556d54-12\"',\n", | |
| " 'Size': 96868323,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C03_G16_s20210351450135_e20210351459443_c20210351459508.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 29, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"54c5a06c4a0e14f404410f7007bb6966-12\"',\n", | |
| " 'Size': 98259932,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C04_G16_s20210351400136_e20210351409444_c20210351409471.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"e1a88491f2f823acf5664594c230e031-2\"',\n", | |
| " 'Size': 14889332,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C04_G16_s20210351410136_e20210351419444_c20210351419472.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 13, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"42a9e04cc47460f587165b3bc46096b7-2\"',\n", | |
| " 'Size': 15096332,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C04_G16_s20210351420136_e20210351429444_c20210351429473.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"dcb23d0ff6f59cc24fde991fe82bc357-2\"',\n", | |
| " 'Size': 15312447,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C04_G16_s20210351430136_e20210351439444_c20210351439482.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 6, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"8c20623392747861b0cf996a3e1dcd55-2\"',\n", | |
| " 'Size': 15530539,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C04_G16_s20210351440135_e20210351449443_c20210351449475.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 4, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"6c52485f1e2e7befb9ebfd612fabe4ab-2\"',\n", | |
| " 'Size': 15735277,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C04_G16_s20210351450135_e20210351459443_c20210351459475.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 10, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"25a3870f9b2abd36f8be3f04dee74149-2\"',\n", | |
| " 'Size': 15911891,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C05_G16_s20210351400136_e20210351409444_c20210351409494.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 21, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"71f3d6c32a5d5b147dc6154e0da6e6ce-11\"',\n", | |
| " 'Size': 85772726,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C05_G16_s20210351410136_e20210351419444_c20210351419498.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 31, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"7bbdc29a8aabd054dd4071852ee348ee-11\"',\n", | |
| " 'Size': 87352765,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C05_G16_s20210351420136_e20210351429444_c20210351429506.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 22, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"548395940fdbf99753460aeffa5c1f05-11\"',\n", | |
| " 'Size': 88901019,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C05_G16_s20210351430136_e20210351439444_c20210351439504.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 25, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"599a12c3ced0d3fbdfe8f35ac9ba633e-11\"',\n", | |
| " 'Size': 90435775,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C05_G16_s20210351440135_e20210351449443_c20210351449497.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 20, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"ad43ed21de7294a967f55f0ec62cb5df-11\"',\n", | |
| " 'Size': 91832149,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C05_G16_s20210351450135_e20210351459443_c20210351459500.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 27, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"9c7500c856b686e2a1f51627605965c3-12\"',\n", | |
| " 'Size': 93076334,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C06_G16_s20210351400136_e20210351409449_c20210351409484.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"2f8fe091a1a299ff82466ba6d256f706-3\"',\n", | |
| " 'Size': 20555897,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C06_G16_s20210351410136_e20210351419449_c20210351419492.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 15, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"7779c6add9f52d2b68f26511adfbca25-3\"',\n", | |
| " 'Size': 20995231,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C06_G16_s20210351420136_e20210351429449_c20210351429492.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1a685d44dad648e257011f4a96cf4895-3\"',\n", | |
| " 'Size': 21410072,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C06_G16_s20210351430136_e20210351439449_c20210351439491.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"df611e346c341dad5159fb9bb229083d-3\"',\n", | |
| " 'Size': 21832794,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C06_G16_s20210351440135_e20210351449449_c20210351449492.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"7aa88af75591320679bec865b5309eee-3\"',\n", | |
| " 'Size': 22216803,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C06_G16_s20210351450135_e20210351459449_c20210351459496.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 15, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"9b04ff36a3e33be910b06ccb237dc7c0-3\"',\n", | |
| " 'Size': 22560985,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C07_G16_s20210351400136_e20210351409456_c20210351409503.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 11, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"660b867305117ecb4b3a9d9d7512ce20-4\"',\n", | |
| " 'Size': 25999415,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C07_G16_s20210351410136_e20210351419455_c20210351419513.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 17, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"43a8ba5a74399f726086924a2a9cc555-4\"',\n", | |
| " 'Size': 26057067,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C07_G16_s20210351420136_e20210351429455_c20210351429516.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 10, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"3934a0489c76f13cdeac0af4bdf9ba3c-4\"',\n", | |
| " 'Size': 26128461,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C07_G16_s20210351430136_e20210351439455_c20210351439517.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 10, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"16ba8de66d31f25fd6da8886aa33e644-4\"',\n", | |
| " 'Size': 26214557,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C07_G16_s20210351440135_e20210351449455_c20210351449507.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"f388949f3cfdc571e091f46d9e927ac8-4\"',\n", | |
| " 'Size': 26317634,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C07_G16_s20210351450135_e20210351459455_c20210351459517.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 14, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"c7985d37576130023d48e51c3a980b67-4\"',\n", | |
| " 'Size': 26439902,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C08_G16_s20210351400136_e20210351409444_c20210351409508.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"f9ebb929574d79069cb1b9957440a675-3\"',\n", | |
| " 'Size': 19291487,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C08_G16_s20210351410136_e20210351419444_c20210351419505.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 16, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"b075a4201a41aa178b91433d6a164f8e-3\"',\n", | |
| " 'Size': 19288906,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C08_G16_s20210351420136_e20210351429444_c20210351429509.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 6, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"e2b61961ea974bb2ae17f6225cf5b787-3\"',\n", | |
| " 'Size': 19289077,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C08_G16_s20210351430136_e20210351439444_c20210351439512.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"9f54337e750463e1ecc11bf03bd7fe31-3\"',\n", | |
| " 'Size': 19291972,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C08_G16_s20210351440135_e20210351449443_c20210351449511.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"a3272a10534a6fc34545b09f8bf658b5-3\"',\n", | |
| " 'Size': 19296907,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C08_G16_s20210351450135_e20210351459443_c20210351459512.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 12, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"8d22c6768f5966ddd342557d3d973f50-3\"',\n", | |
| " 'Size': 19303516,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C09_G16_s20210351400136_e20210351409449_c20210351409515.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 11, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"b58ceb337c8d2f25d77f5acea0f1771a-3\"',\n", | |
| " 'Size': 18193748,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C09_G16_s20210351410136_e20210351419449_c20210351419504.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 14, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"db4b2a87c9da1b310633e5a2a778ac66-3\"',\n", | |
| " 'Size': 18193479,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C09_G16_s20210351420136_e20210351429449_c20210351429514.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"395de8a2e1bb8bb995da14ea8ec6b8b7-3\"',\n", | |
| " 'Size': 18192208,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C09_G16_s20210351430136_e20210351439449_c20210351439519.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"8e0751a8450920ccdb445676fa2ec404-3\"',\n", | |
| " 'Size': 18192079,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C09_G16_s20210351440135_e20210351449449_c20210351449511.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 5, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"0e262334b439728cfdcd62158cb3a2b7-3\"',\n", | |
| " 'Size': 18191963,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C09_G16_s20210351450135_e20210351459449_c20210351459510.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 10, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"624a6dcc6f49c70f8b87ba0da905fe0f-3\"',\n", | |
| " 'Size': 18195088,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C10_G16_s20210351400136_e20210351409455_c20210351409502.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"e6dd99ad547d1ac38418d227bb94f6bf-3\"',\n", | |
| " 'Size': 22534558,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C10_G16_s20210351410136_e20210351419455_c20210351419498.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 19, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1cc35241487c16dbca1b26f54a6db570-3\"',\n", | |
| " 'Size': 22527828,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C10_G16_s20210351420136_e20210351429455_c20210351429491.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"84d48422f700b29a965339e6003f5fc2-3\"',\n", | |
| " 'Size': 22521112,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C10_G16_s20210351430136_e20210351439455_c20210351439525.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"95d8c951acbe7a2f9636190a2d1ecc29-3\"',\n", | |
| " 'Size': 22511940,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C10_G16_s20210351440135_e20210351449455_c20210351449503.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 6, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"0f9d938f680dc3b85c01fbac464ecabd-3\"',\n", | |
| " 'Size': 22507325,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C10_G16_s20210351450135_e20210351459455_c20210351459506.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 13, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"c85d2b8a079d5bc5083ca997f2d888c7-3\"',\n", | |
| " 'Size': 22502032,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C11_G16_s20210351400136_e20210351409444_c20210351409480.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 10, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"4b862252e7bf39546a85f58ecfbceea6-4\"',\n", | |
| " 'Size': 29852980,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C11_G16_s20210351410136_e20210351419444_c20210351419529.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 17, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"8bb3cdf57046d6496139e7e795f95fe6-4\"',\n", | |
| " 'Size': 29850601,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C11_G16_s20210351420136_e20210351429444_c20210351429506.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"8c8f0466b2ff99ebedf5c7503a5219cc-4\"',\n", | |
| " 'Size': 29845105,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C11_G16_s20210351430136_e20210351439444_c20210351439503.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 11, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"4359347eb5f56fdf94a5fbe34f0ab9de-4\"',\n", | |
| " 'Size': 29837486,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C11_G16_s20210351440135_e20210351449443_c20210351449498.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"28becb59db6167b4d2b93f06ed38468d-4\"',\n", | |
| " 'Size': 29831948,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C11_G16_s20210351450135_e20210351459443_c20210351459502.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 12, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"6d931c1425ddd2272d18808f1584abaa-4\"',\n", | |
| " 'Size': 29823887,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C12_G16_s20210351400136_e20210351409449_c20210351409507.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"23c12e7e33a2572e173371eb0d17f975-3\"',\n", | |
| " 'Size': 25033741,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C12_G16_s20210351410136_e20210351419449_c20210351419489.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 18, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"799511f9537a179380126d866059cfa2-3\"',\n", | |
| " 'Size': 25033731,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C12_G16_s20210351420136_e20210351429449_c20210351429503.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"e78c040cc05915042e93d7af3cf3b261-3\"',\n", | |
| " 'Size': 25031029,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C12_G16_s20210351430136_e20210351439449_c20210351439495.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 8, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"38022aaf9d48c07d3daf50c5620eaee3-3\"',\n", | |
| " 'Size': 25030071,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C12_G16_s20210351440135_e20210351449449_c20210351449507.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"a0059ced7c2c202323a4280b769d7a01-3\"',\n", | |
| " 'Size': 25030519,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C12_G16_s20210351450135_e20210351459449_c20210351459494.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 12, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"5330b63e809bc1cb6f116e5f954bc635-3\"',\n", | |
| " 'Size': 25030580,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C13_G16_s20210351400136_e20210351409455_c20210351409531.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 11, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1d24b2a3785a89c0b3f1b9fab79f2087-4\"',\n", | |
| " 'Size': 30244150,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C13_G16_s20210351410136_e20210351419455_c20210351419514.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 18, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1fb373737ba1868e1487dabd2acfcdb5-4\"',\n", | |
| " 'Size': 30237746,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C13_G16_s20210351420136_e20210351429455_c20210351429522.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 11, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"23be9438063d6dd27198a9209ee40b4a-4\"',\n", | |
| " 'Size': 30229900,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C13_G16_s20210351430136_e20210351439455_c20210351439532.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 12, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"0d9051c68543d66dd09339dd721aaf15-4\"',\n", | |
| " 'Size': 30220259,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C13_G16_s20210351440135_e20210351449455_c20210351449520.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1c5be57ba5a782dd6cb789448b716b56-4\"',\n", | |
| " 'Size': 30216043,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C13_G16_s20210351450135_e20210351459455_c20210351459514.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 13, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"4ab3a3a4e47338332ea2a0408d020b0c-4\"',\n", | |
| " 'Size': 30206977,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C14_G16_s20210351400136_e20210351409444_c20210351409525.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"d730a009a43aa60f43e2451444e48d30-4\"',\n", | |
| " 'Size': 30156279,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C14_G16_s20210351410136_e20210351419444_c20210351419525.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 19, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"43ff0e0561c432a2388baea111676cd1-4\"',\n", | |
| " 'Size': 30151213,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C14_G16_s20210351420136_e20210351429444_c20210351429510.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 11, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"26dfe842c700f291fbff72c0928cb9bd-4\"',\n", | |
| " 'Size': 30143893,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C14_G16_s20210351430136_e20210351439444_c20210351439515.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"28d88f925e2523522ea8a2bee87a5439-4\"',\n", | |
| " 'Size': 30134419,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C14_G16_s20210351440135_e20210351449443_c20210351449516.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 10, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"99c94dc698acf7be7c14b75bab0257ee-4\"',\n", | |
| " 'Size': 30127994,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C14_G16_s20210351450135_e20210351459443_c20210351459523.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 16, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"1c51d9c72f4e0db257de6bb5fb8d3c14-4\"',\n", | |
| " 'Size': 30118635,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C15_G16_s20210351400136_e20210351409449_c20210351409521.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 11, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"5be845f1cab230c9a51247317b071eba-4\"',\n", | |
| " 'Size': 29697703,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C15_G16_s20210351410136_e20210351419449_c20210351419509.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 20, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"a70ab7030c2f8ce82f004a4fe596f080-4\"',\n", | |
| " 'Size': 29691349,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C15_G16_s20210351420136_e20210351429449_c20210351429518.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"71c127d8773b2d9446dbb51b1e7a645e-4\"',\n", | |
| " 'Size': 29682683,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C15_G16_s20210351430136_e20210351439450_c20210351439528.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 10, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"afc4d5921b422a7a293f230ae58fa80a-4\"',\n", | |
| " 'Size': 29679002,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C15_G16_s20210351440135_e20210351449449_c20210351449527.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"a369eff158f8f425bcd03ebe414464bb-4\"',\n", | |
| " 'Size': 29672157,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C15_G16_s20210351450135_e20210351459449_c20210351459528.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 14, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"2af83fcd4ddc51a5d81b24f0d4340902-4\"',\n", | |
| " 'Size': 29665136,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C16_G16_s20210351400136_e20210351409456_c20210351409511.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 10, 6, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"daf5166f4c6dd02ece0fb797f6372d4b-3\"',\n", | |
| " 'Size': 20737888,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C16_G16_s20210351410136_e20210351419455_c20210351419518.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 20, 16, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"c70717975d0c0540132f4b342b2d88a9-3\"',\n", | |
| " 'Size': 20733654,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C16_G16_s20210351420136_e20210351429455_c20210351429527.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 30, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"447659339ae85e3bee59f15c439dd4a4-3\"',\n", | |
| " 'Size': 20731496,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C16_G16_s20210351430136_e20210351439456_c20210351439509.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 40, 9, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"c79d1e7159f7dbd11b2a9881d95a0271-3\"',\n", | |
| " 'Size': 20729490,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C16_G16_s20210351440135_e20210351449456_c20210351449532.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 14, 50, 7, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"023483294b1eb409bf92f5624b67ee3f-3\"',\n", | |
| " 'Size': 20732266,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}},\n", | |
| " {'Key': 'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C16_G16_s20210351450135_e20210351459455_c20210351459520.nc',\n", | |
| " 'LastModified': datetime.datetime(2021, 2, 4, 15, 0, 12, tzinfo=tzutc()),\n", | |
| " 'ETag': '\"af771f37bd8d2efb7250dded33ca590a-3\"',\n", | |
| " 'Size': 20731538,\n", | |
| " 'StorageClass': 'INTELLIGENT_TIERING',\n", | |
| " 'Owner': {'DisplayName': 'sandbox',\n", | |
| " 'ID': '07cd0b2bd0f30623096b9275946be8ed8f210ec3ec83f15b416f8296c4e7e947'}}],\n", | |
| " 'Name': 'noaa-goes16',\n", | |
| " 'Prefix': 'ABI-L1b-RadF/2021/035/14',\n", | |
| " 'MaxKeys': 1000,\n", | |
| " 'EncodingType': 'url'}" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "pages[0]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "measured-master", | |
| "metadata": {}, | |
| "source": [ | |
| "Using the `'Key'` attribute, we will be able to access the `.nc` data file that we want to download. For example, we will pick the first key available." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "stunning-opening", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'ABI-L1b-RadF/2021/035/14/OR_ABI-L1b-RadF-M6C01_G16_s20210351400136_e20210351409444_c20210351409499.nc'" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "key = pages[0]['Contents'][0]['Key']\n", | |
| "key" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "threaded-harvest", | |
| "metadata": {}, | |
| "source": [ | |
| "Note that you will want to search for your key using the meta data in the `pages` (We just picked the key of the first dataset that we saw)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "welcome-palestine", | |
| "metadata": {}, | |
| "source": [ | |
| "# Get the data file using the key" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "further-interval", | |
| "metadata": {}, | |
| "source": [ | |
| "Now since we have the key to the data file we can download the data file and access the data." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "visible-study", | |
| "metadata": {}, | |
| "source": [ | |
| "We use `requests` to fetch the data from the Amazona s3 bucket." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "cross-ordinary", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<Response [200]>" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "import requests\n", | |
| "resp = requests.get(f'https://{bucket_name}.s3.amazonaws.com/{key}')\n", | |
| "resp" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "comprehensive-enemy", | |
| "metadata": {}, | |
| "source": [ | |
| "Grab the file name out of the reponse." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "id": "endangered-scottish", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'OR_ABI-L1b-RadF-M6C01_G16_s20210351400136_e20210351409444_c20210351409499'" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "file_name = key.split('/')[-1].split('.')[0]\n", | |
| "file_name" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "favorite-yield", | |
| "metadata": {}, | |
| "source": [ | |
| "# Open data set" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "parallel-omega", | |
| "metadata": {}, | |
| "source": [ | |
| "Inside of the response we have our `.nc` file. We need to use the `netCDF4` package to use the `.nc` file." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "id": "joined-budget", | |
| "metadata": { | |
| "scrolled": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import netCDF4\n", | |
| "nc4_ds = netCDF4.Dataset(file_name, memory = resp.content)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "noble-compression", | |
| "metadata": {}, | |
| "source": [ | |
| "Next we use `xarray` to manipulate the data set (this is kind of like using `pandas` for `csv` files)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "id": "creative-foundation", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<xarray.backends.netCDF4_.NetCDF4DataStore at 0x7f96f1df7ee8>" | |
| ] | |
| }, | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "import xarray as xr\n", | |
| "store = xr.backends.NetCDF4DataStore(nc4_ds)\n", | |
| "store" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "id": "related-policy", | |
| "metadata": { | |
| "scrolled": true | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n", | |
| "<defs>\n", | |
| "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n", | |
| "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n", | |
| "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", | |
| "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n", | |
| "</symbol>\n", | |
| "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n", | |
| "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n", | |
| "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n", | |
| "</symbol>\n", | |
| "</defs>\n", | |
| "</svg>\n", | |
| "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n", | |
| " *\n", | |
| " */\n", | |
| "\n", | |
| ":root {\n", | |
| " --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n", | |
| " --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n", | |
| " --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n", | |
| " --xr-border-color: var(--jp-border-color2, #e0e0e0);\n", | |
| " --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n", | |
| " --xr-background-color: var(--jp-layout-color0, white);\n", | |
| " --xr-background-color-row-even: var(--jp-layout-color1, white);\n", | |
| " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", | |
| "}\n", | |
| "\n", | |
| "html[theme=dark],\n", | |
| "body.vscode-dark {\n", | |
| " --xr-font-color0: rgba(255, 255, 255, 1);\n", | |
| " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", | |
| " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", | |
| " --xr-border-color: #1F1F1F;\n", | |
| " --xr-disabled-color: #515151;\n", | |
| " --xr-background-color: #111111;\n", | |
| " --xr-background-color-row-even: #111111;\n", | |
| " --xr-background-color-row-odd: #313131;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-wrap {\n", | |
| " display: block;\n", | |
| " min-width: 300px;\n", | |
| " max-width: 700px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: '►';\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: '▼';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: '(';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: ')';\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: ',';\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " display: none;\n", | |
| " background-color: var(--xr-background-color) !important;\n", | |
| " padding-bottom: 5px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2 {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
| "Dimensions: (band: 1, num_star_looks: 24, number_of_image_bounds: 2, number_of_time_bounds: 2, x: 10848, y: 10848)\n", | |
| "Coordinates:\n", | |
| " t datetime64[ns] 2021-02-...\n", | |
| " * y (y) float32 0.1519 ... ...\n", | |
| " * x (x) float32 -0.1519 ......\n", | |
| " y_image float32 0.0\n", | |
| " x_image float32 0.0\n", | |
| " band_id (band) int8 1\n", | |
| " band_wavelength (band) float32 0.47\n", | |
| " t_star_look (num_star_looks) datetime64[ns] ...\n", | |
| " band_wavelength_star_look (num_star_looks) float32 ...\n", | |
| "Dimensions without coordinates: band, num_star_looks, number_of_image_bounds, number_of_time_bounds\n", | |
| "Data variables:\n", | |
| " Rad (y, x) float32 ...\n", | |
| " DQF (y, x) float32 ...\n", | |
| " time_bounds (number_of_time_bounds) datetime64[ns] ...\n", | |
| " goes_imager_projection int32 -2147483647\n", | |
| " y_image_bounds (number_of_image_bounds) float32 ...\n", | |
| " x_image_bounds (number_of_image_bounds) float32 ...\n", | |
| " nominal_satellite_subpoint_lat float64 0.0\n", | |
| " nominal_satellite_subpoint_lon float64 -75.2\n", | |
| " nominal_satellite_height float64 3.579e+04\n", | |
| " geospatial_lat_lon_extent float32 9.969e+36\n", | |
| " yaw_flip_flag float64 0.0\n", | |
| " esun float64 2.017e+03\n", | |
| " kappa0 float64 0.001514\n", | |
| " planck_fk1 float64 nan\n", | |
| " planck_fk2 float64 nan\n", | |
| " planck_bc1 float64 nan\n", | |
| " planck_bc2 float64 nan\n", | |
| " valid_pixel_count float64 9.216e+07\n", | |
| " missing_pixel_count float64 1.604e+03\n", | |
| " saturated_pixel_count float64 2.270e+04\n", | |
| " undersaturated_pixel_count float64 0.0\n", | |
| " focal_plane_temperature_threshold_exceeded_count float64 nan\n", | |
| " min_radiance_value_of_valid_pixels float64 -0.5931\n", | |
| " max_radiance_value_of_valid_pixels float64 646.0\n", | |
| " mean_radiance_value_of_valid_pixels float64 117.0\n", | |
| " std_dev_radiance_value_of_valid_pixels float64 104.5\n", | |
| " maximum_focal_plane_temperature float64 nan\n", | |
| " focal_plane_temperature_threshold_increasing float64 nan\n", | |
| " focal_plane_temperature_threshold_decreasing float64 nan\n", | |
| " percent_uncorrectable_L0_errors float64 0.0\n", | |
| " earth_sun_distance_anomaly_in_AU float64 0.9858\n", | |
| " algorithm_dynamic_input_data_container int32 -2147483647\n", | |
| " processing_parm_version_container int32 -2147483647\n", | |
| " algorithm_product_version_container int32 -2147483647\n", | |
| " star_id (num_star_looks) float32 ...\n", | |
| " channel_integration_time float64 333.0\n", | |
| " channel_gain_field float64 0.0\n", | |
| "Attributes:\n", | |
| " naming_authority: gov.nesdis.noaa\n", | |
| " Conventions: CF-1.7\n", | |
| " standard_name_vocabulary: CF Standard Name Table (v35, 20 July 2016)\n", | |
| " institution: DOC/NOAA/NESDIS > U.S. Department of Commerce,...\n", | |
| " project: GOES\n", | |
| " production_site: RBU\n", | |
| " production_environment: OE\n", | |
| " spatial_resolution: 1km at nadir\n", | |
| " Metadata_Conventions: Unidata Dataset Discovery v1.0\n", | |
| " orbital_slot: GOES-East\n", | |
| " platform_ID: G16\n", | |
| " instrument_type: GOES R Series Advanced Baseline Imager\n", | |
| " scene_id: Full Disk\n", | |
| " instrument_ID: FM1\n", | |
| " title: ABI L1b Radiances\n", | |
| " summary: Single reflective band ABI L1b Radiance Produc...\n", | |
| " keywords: SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > V...\n", | |
| " keywords_vocabulary: NASA Global Change Master Directory (GCMD) Ear...\n", | |
| " iso_series_metadata_id: a70be540-c38b-11e0-962b-0800200c9a66\n", | |
| " license: Unclassified data. Access is restricted to ap...\n", | |
| " processing_level: National Aeronautics and Space Administration ...\n", | |
| " cdm_data_type: Image\n", | |
| " dataset_name: OR_ABI-L1b-RadF-M6C01_G16_s20210351400136_e202...\n", | |
| " production_data_source: Realtime\n", | |
| " timeline_id: ABI Mode 6\n", | |
| " date_created: 2021-02-04T14:09:49.9Z\n", | |
| " time_coverage_start: 2021-02-04T14:00:13.6Z\n", | |
| " time_coverage_end: 2021-02-04T14:09:44.4Z\n", | |
| " LUT_Filenames: SpaceLookParams(FM1A_CDRL79RevP_PR_09_00_02)-6...\n", | |
| " id: 24a8cb59-3c46-472b-8f43-ffebfc73995b</pre><div class='xr-wrap' hidden><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-f94bf787-fc9d-407c-b48b-c622d0546c23' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f94bf787-fc9d-407c-b48b-c622d0546c23' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>band</span>: 1</li><li><span>num_star_looks</span>: 24</li><li><span>number_of_image_bounds</span>: 2</li><li><span>number_of_time_bounds</span>: 2</li><li><span class='xr-has-index'>x</span>: 10848</li><li><span class='xr-has-index'>y</span>: 10848</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-848540a2-22be-4ba6-8112-5d5eb8371758' class='xr-section-summary-in' type='checkbox' checked><label for='section-848540a2-22be-4ba6-8112-5d5eb8371758' class='xr-section-summary' >Coordinates: <span>(9)</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-2aed0516-f2b8-4c13-b1a6-1106dd26d3c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aed0516-f2b8-4c13-b1a6-1106dd26d3c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-378ce775-65cc-4617-89ae-fc35a93e361f' class='xr-var-data-in' type='checkbox'><label for='data-378ce775-65cc-4617-89ae-fc35a93e361f' 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>array('2021-02-04T14:04:59.011932032', 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'>float32</div><div class='xr-var-preview xr-preview'>0.1519 0.1518 ... -0.1518 -0.1519</div><input id='attrs-ea2e0d15-6f53-44dd-9214-b41350226f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea2e0d15-6f53-44dd-9214-b41350226f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7007ff48-38f2-45b6-8ef8-d471182737a7' class='xr-var-data-in' type='checkbox'><label for='data-7007ff48-38f2-45b6-8ef8-d471182737a7' 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>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection y-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([ 0.151858, 0.15183 , 0.151802, ..., -0.151802, -0.15183 , -0.151858],\n", | |
| " dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-0.1519 -0.1518 ... 0.1518 0.1519</div><input id='attrs-39647d6c-b717-43b8-9f54-6573f991670d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39647d6c-b717-43b8-9f54-6573f991670d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-615bb681-86cf-4fd5-9bf5-375f5419298c' class='xr-var-data-in' type='checkbox'><label for='data-615bb681-86cf-4fd5-9bf5-375f5419298c' 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>units :</span></dt><dd>rad</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>GOES fixed grid projection x-coordinate</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([-0.151858, -0.15183 , -0.151802, ..., 0.151802, 0.15183 , 0.151858],\n", | |
| " dtype=float32)</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-6345c11f-bece-4bde-9b20-f7f8f9b9a495' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6345c11f-bece-4bde-9b20-f7f8f9b9a495' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7104f870-9ebb-4e99-8ea4-964f0d086a7b' class='xr-var-data-in' type='checkbox'><label for='data-7104f870-9ebb-4e99-8ea4-964f0d086a7b' 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>array(0., 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-72e49ae3-4222-4b3f-b646-35d04f7c68cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72e49ae3-4222-4b3f-b646-35d04f7c68cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed052d1-4538-4387-8a4c-5e1454006ece' class='xr-var-data-in' type='checkbox'><label for='data-eed052d1-4538-4387-8a4c-5e1454006ece' 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>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_id</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-d6a69449-ae86-48a8-925a-4f82facf07cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6a69449-ae86-48a8-925a-4f82facf07cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53ea1fd4-a22a-4bba-8f98-7204841e0fae' class='xr-var-data-in' type='checkbox'><label for='data-53ea1fd4-a22a-4bba-8f98-7204841e0fae' 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 number</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>array([1], dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength</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-b6b98482-f239-4000-8542-a2daae11144b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6b98482-f239-4000-8542-a2daae11144b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b586868f-6359-4e70-9368-44ae69b2999c' class='xr-var-data-in' type='checkbox'><label for='data-b586868f-6359-4e70-9368-44ae69b2999c' 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 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>array([0.47], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_star_look</span></div><div class='xr-var-dims'>(num_star_looks)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f76c70b5-0048-41bf-ad5a-54d2ad616dd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f76c70b5-0048-41bf-ad5a-54d2ad616dd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0646e49-2d87-4e54-9772-a7e59015802d' class='xr-var-data-in' type='checkbox'><label for='data-f0646e49-2d87-4e54-9772-a7e59015802d' 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 time of star observed in seconds</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array(['2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000',\n", | |
| " '2000-01-01T11:43:21.000000000', '2000-01-01T11:43:21.000000000'],\n", | |
| " dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>band_wavelength_star_look</span></div><div class='xr-var-dims'>(num_star_looks)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2bbe42a1-137b-493f-af28-558af0a7efa4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bbe42a1-137b-493f-af28-558af0a7efa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f14c065-9005-47ff-ac3f-cc30a8630b11' class='xr-var-data-in' type='checkbox'><label for='data-3f14c065-9005-47ff-ac3f-cc30a8630b11' 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 central wavelength associated with observed star</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>array([-999., -999., -999., -999., -999., -999., -999., -999., -999., -999.,\n", | |
| " -999., -999., -999., -999., -999., -999., -999., -999., -999., -999.,\n", | |
| " -999., -999., -999., -999.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18e17813-5a71-4ba2-957b-dba77548292b' class='xr-section-summary-in' type='checkbox' ><label for='section-18e17813-5a71-4ba2-957b-dba77548292b' class='xr-section-summary' >Data variables: <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>Rad</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-53c70417-f370-4e39-b64f-746f9fc9ebf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53c70417-f370-4e39-b64f-746f9fc9ebf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d8e331d-cc74-4e90-8e30-06b83f808bb8' class='xr-var-data-in' type='checkbox'><label for='data-0d8e331d-cc74-4e90-8e30-06b83f808bb8' 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 L1b Radiances</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavelength</dd><dt><span>sensor_band_bit_depth :</span></dt><dd>10</dd><dt><span>valid_range :</span></dt><dd>[ 0 1022]</dd><dt><span>units :</span></dt><dd>W m-2 sr-1 um-1</dd><dt><span>resolution :</span></dt><dd>y: 0.000028 rad x: 0.000028 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</dd></dl></div><div class='xr-var-data'><pre>[117679104 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DQF</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-3de61cdf-5a2d-4da9-bd0b-bd6fb1a353ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3de61cdf-5a2d-4da9-bd0b-bd6fb1a353ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1f7a8c2-41f4-41cc-8bb4-018381eadfc1' class='xr-var-data-in' type='checkbox'><label for='data-f1f7a8c2-41f4-41cc-8bb4-018381eadfc1' 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 L1b Radiances 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>cell_methods :</span></dt><dd>t: point area: point</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>0.9997348</dd><dt><span>percent_conditionally_usable_pixel_qf :</span></dt><dd>1.6e-06</dd><dt><span>percent_out_of_range_pixel_qf :</span></dt><dd>0.0002463</dd><dt><span>percent_no_value_pixel_qf :</span></dt><dd>1.74e-05</dd><dt><span>percent_focal_plane_temperature_threshold_exceeded_qf :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[117679104 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-4b343391-11c8-4d9e-ad59-1cf153aa2518' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b343391-11c8-4d9e-ad59-1cf153aa2518' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-deba5093-22c9-43c2-968b-fa52306c8b01' class='xr-var-data-in' type='checkbox'><label for='data-deba5093-22c9-43c2-968b-fa52306c8b01' 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>array(['2021-02-04T14:00:13.613404928', '2021-02-04T14:09:44.410459008'],\n", | |
| " 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-bde50c69-7546-4564-a60e-61d2c3586911' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bde50c69-7546-4564-a60e-61d2c3586911' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c7bc9b0-12aa-4a5f-b1e5-1aa98bd86361' class='xr-var-data-in' type='checkbox'><label for='data-0c7bc9b0-12aa-4a5f-b1e5-1aa98bd86361' 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>array(-2147483647, 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-863e5ab5-1d19-4871-bb9e-6fdc8583f866' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-863e5ab5-1d19-4871-bb9e-6fdc8583f866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-323dc3bb-49ec-4018-a431-ef7c4f60c23c' class='xr-var-data-in' type='checkbox'><label for='data-323dc3bb-49ec-4018-a431-ef7c4f60c23c' 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>array([ 0.151872, -0.151872], 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-c8ad30d8-3bf6-4eda-b3f1-913ee1cf5e74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8ad30d8-3bf6-4eda-b3f1-913ee1cf5e74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dac9fd6-e79f-44e5-8ecf-f0f8ee152342' class='xr-var-data-in' type='checkbox'><label for='data-7dac9fd6-e79f-44e5-8ecf-f0f8ee152342' 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>array([-0.151872, 0.151872], 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-3b4c7368-9c2d-4514-aa5a-cf4d6f39eda6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b4c7368-9c2d-4514-aa5a-cf4d6f39eda6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ec258fb-7583-4eaa-8773-94a9f5f0e8f7' class='xr-var-data-in' type='checkbox'><label for='data-6ec258fb-7583-4eaa-8773-94a9f5f0e8f7' 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>array(0.)</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-aecfb95c-ee9c-4a81-b689-fe9da0a811ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aecfb95c-ee9c-4a81-b689-fe9da0a811ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e4f7227-c324-4933-8470-8a0d06689f69' class='xr-var-data-in' type='checkbox'><label for='data-6e4f7227-c324-4933-8470-8a0d06689f69' 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>array(-75.199997)</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-c36c89af-1e76-44f9-8234-034f775437f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c36c89af-1e76-44f9-8234-034f775437f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94e04831-d207-4f1a-a8c6-3ed6d558cd85' class='xr-var-data-in' type='checkbox'><label for='data-94e04831-d207-4f1a-a8c6-3ed6d558cd85' 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>array(35786.023438)</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-fddcc31e-4b55-45a5-949c-045f6a8962df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fddcc31e-4b55-45a5-949c-045f6a8962df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2cccde6-a0e3-462f-802a-3035e2aa938c' class='xr-var-data-in' type='checkbox'><label for='data-a2cccde6-a0e3-462f-802a-3035e2aa938c' 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>-156.2995</dd><dt><span>geospatial_northbound_latitude :</span></dt><dd>81.3282</dd><dt><span>geospatial_eastbound_longitude :</span></dt><dd>6.2995</dd><dt><span>geospatial_southbound_latitude :</span></dt><dd>-81.3282</dd><dt><span>geospatial_lat_center :</span></dt><dd>0.0</dd><dt><span>geospatial_lon_center :</span></dt><dd>-75.0</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>array(9.96921e+36, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yaw_flip_flag</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-8da6422c-3628-4e8e-83ca-65f74138de19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8da6422c-3628-4e8e-83ca-65f74138de19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2f01789-b01a-4d51-9a62-45296d2f4ab6' class='xr-var-data-in' type='checkbox'><label for='data-f2f01789-b01a-4d51-9a62-45296d2f4ab6' 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>Flag indicating the spacecraft is operating in yaw flip configuration</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>false true</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>esun</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-2674f738-3b9a-41f2-8e92-f205ba950486' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2674f738-3b9a-41f2-8e92-f205ba950486' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11a0ebee-9ef7-427b-86b7-0cf5de823f2a' class='xr-var-data-in' type='checkbox'><label for='data-11a0ebee-9ef7-427b-86b7-0cf5de823f2a' 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>bandpass-weighted solar irradiance at the mean Earth-Sun distance</dd><dt><span>standard_name :</span></dt><dd>toa_shortwave_irradiance_per_unit_wavelength</dd><dt><span>units :</span></dt><dd>W m-2 um-1</dd><dt><span>cell_methods :</span></dt><dd>t: mean</dd></dl></div><div class='xr-var-data'><pre>array(2017.164795)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kappa0</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-afa37bf2-f616-4af5-a4ef-f1121ceecf8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afa37bf2-f616-4af5-a4ef-f1121ceecf8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96206677-330c-49d5-a69a-854f612c396d' class='xr-var-data-in' type='checkbox'><label for='data-96206677-330c-49d5-a69a-854f612c396d' 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>Inverse of the incoming top of atmosphere radiance at current earth-sun distance (PI d2 esun-1)-1, where d is the ratio of instantaneous Earth-Sun distance divided by the mean Earth-Sun distance, esun is the bandpass-weighted solar irradiance and PI is a standard constant used to convert ABI L1b radiance to reflectance</dd><dt><span>units :</span></dt><dd>(W m-2 um-1)-1</dd><dt><span>cell_methods :</span></dt><dd>t: mean</dd></dl></div><div class='xr-var-data'><pre>array(0.001514)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>planck_fk1</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-9fe5ade4-33f8-4275-8668-9e82d4518a55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fe5ade4-33f8-4275-8668-9e82d4518a55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80e5f211-47d8-4060-9ff2-26f782c3b442' class='xr-var-data-in' type='checkbox'><label for='data-80e5f211-47d8-4060-9ff2-26f782c3b442' 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>wavenumber-dependent coefficient (2 h c2/ nu3) used in the ABI emissive band monochromatic brightness temperature computation, where nu =central wavenumber and h and c are standard constants</dd><dt><span>units :</span></dt><dd>W m-1</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>planck_fk2</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-4b281bb4-e41e-47d1-95e4-b7616b184d72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b281bb4-e41e-47d1-95e4-b7616b184d72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49a60a93-0406-4e0a-b865-ae9b4b650034' class='xr-var-data-in' type='checkbox'><label for='data-49a60a93-0406-4e0a-b865-ae9b4b650034' 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>wavenumber-dependent coefficient (h c nu/b) used in the ABI emissive band monochromatic brightness temperature computation, where nu = central wavenumber and h, c, and b are standard constants</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>planck_bc1</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-fc06222a-e258-4e48-9fdf-83bb0a533e19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc06222a-e258-4e48-9fdf-83bb0a533e19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f0345f3-0b29-4ed9-9390-bffe2f6d2dc8' class='xr-var-data-in' type='checkbox'><label for='data-5f0345f3-0b29-4ed9-9390-bffe2f6d2dc8' 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>spectral bandpass correction offset for brightness temperature (B(nu) - bc_1)/bc_2 where B()=planck_function() and nu=wavenumber</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>planck_bc2</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-a9532f78-924f-45cd-815e-8774bde47d4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9532f78-924f-45cd-815e-8774bde47d4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eec56be-7380-478e-80c7-76ee7831a21e' class='xr-var-data-in' type='checkbox'><label for='data-3eec56be-7380-478e-80c7-76ee7831a21e' 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>spectral bandpass correction scale factor for brightness temperature (B(nu) - bc_1)/bc_2 where B()=planck_function() and nu=wavenumber</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_pixel_count</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-578707f7-525e-475d-83a0-363796f8dad7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-578707f7-525e-475d-83a0-363796f8dad7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b6ec54b-90a5-4555-909a-eec535260f87' class='xr-var-data-in' type='checkbox'><label for='data-9b6ec54b-90a5-4555-909a-eec535260f87' 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 good and conditionally usable pixels</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 and conditionally usable quality pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(92160619.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>missing_pixel_count</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-b871c23c-967e-4fb1-8934-ca3486425b5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b871c23c-967e-4fb1-8934-ca3486425b5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-308995c6-4b25-4250-9f56-9477bd9a775c' class='xr-var-data-in' type='checkbox'><label for='data-308995c6-4b25-4250-9f56-9477bd9a775c' 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 missing pixels</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: missing ABI fixed grid pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(1604.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>saturated_pixel_count</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-23e60741-6ee9-418f-803c-6c0896406d4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23e60741-6ee9-418f-803c-6c0896406d4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35b59020-bc5d-414b-8f03-3f18bbf9dc59' class='xr-var-data-in' type='checkbox'><label for='data-35b59020-bc5d-414b-8f03-3f18bbf9dc59' 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 saturated pixels</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: radiometrically saturated geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(22705.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>undersaturated_pixel_count</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-423df61c-d3d4-4400-85ee-dc134d0b6a36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-423df61c-d3d4-4400-85ee-dc134d0b6a36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-122a1a16-ab86-4fd2-a76c-a1d4f73f44f7' class='xr-var-data-in' type='checkbox'><label for='data-122a1a16-ab86-4fd2-a76c-a1d4f73f44f7' 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 undersaturated pixels</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: radiometrically undersaturated geolocated/not missing pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>focal_plane_temperature_threshold_exceeded_count</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-3c55e3fc-44f4-45ab-8fe4-cbee3e77506f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c55e3fc-44f4-45ab-8fe4-cbee3e77506f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f3c0dc6-bccf-4d51-aefd-3611238e0c6f' class='xr-var-data-in' type='checkbox'><label for='data-5f3c0dc6-bccf-4d51-aefd-3611238e0c6f' 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 pixels whose temperatures exceeded the threshold</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: temperature exceeded pixels only)</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_radiance_value_of_valid_pixels</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-be2753fa-8c3a-4776-bc25-ac900a4620c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be2753fa-8c3a-4776-bc25-ac900a4620c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26a70d1f-2953-4049-aec9-76dfdd697df0' class='xr-var-data-in' type='checkbox'><label for='data-26a70d1f-2953-4049-aec9-76dfdd697df0' 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 radiance value of pixels</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavelength</dd><dt><span>valid_range :</span></dt><dd>[-25.936647 804.0361 ]</dd><dt><span>units :</span></dt><dd>W m-2 sr-1 um-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>array(-0.593133)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_radiance_value_of_valid_pixels</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-d3468f85-5bb1-422d-9901-4618b7e72468' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3468f85-5bb1-422d-9901-4618b7e72468' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ee4278e-d250-45da-af69-7bcdab340691' class='xr-var-data-in' type='checkbox'><label for='data-9ee4278e-d250-45da-af69-7bcdab340691' 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 radiance value of pixels</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavelength</dd><dt><span>valid_range :</span></dt><dd>[-25.936647 804.0361 ]</dd><dt><span>units :</span></dt><dd>W m-2 sr-1 um-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>array(646.028198)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_radiance_value_of_valid_pixels</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-8963744f-1fad-47f0-9bfe-19be02e0d7f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8963744f-1fad-47f0-9bfe-19be02e0d7f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e0417e7-0bb9-4aad-a345-ae95662d093b' class='xr-var-data-in' type='checkbox'><label for='data-6e0417e7-0bb9-4aad-a345-ae95662d093b' 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 radiance value of pixels</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavelength</dd><dt><span>valid_range :</span></dt><dd>[-25.936647 804.0361 ]</dd><dt><span>units :</span></dt><dd>W m-2 sr-1 um-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>array(117.033813)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>std_dev_radiance_value_of_valid_pixels</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-5a63bed8-3417-49b8-b401-f3aeb39bc310' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a63bed8-3417-49b8-b401-f3aeb39bc310' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c66bd859-832b-4b08-80ca-e679f31ee57e' class='xr-var-data-in' type='checkbox'><label for='data-c66bd859-832b-4b08-80ca-e679f31ee57e' 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 radiance values of pixels</dd><dt><span>standard_name :</span></dt><dd>toa_outgoing_radiance_per_unit_wavelength</dd><dt><span>units :</span></dt><dd>W m-2 sr-1 um-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>array(104.458389)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>maximum_focal_plane_temperature</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-becb0ed6-ac57-48e2-b827-77a71f087084' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-becb0ed6-ac57-48e2-b827-77a71f087084' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7205a991-b7f0-4520-9346-8609f6df30e8' class='xr-var-data-in' type='checkbox'><label for='data-7205a991-b7f0-4520-9346-8609f6df30e8' 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 focal plane temperature value</dd><dt><span>valid_range :</span></dt><dd>[ 0. 999.]</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>focal_plane_temperature_threshold_increasing</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-f31736a9-3a85-4550-a7f2-1424980218c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f31736a9-3a85-4550-a7f2-1424980218c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b20ae865-0c1f-42df-bd95-ee89048690d9' class='xr-var-data-in' type='checkbox'><label for='data-b20ae865-0c1f-42df-bd95-ee89048690d9' 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>focal plane temperature threshold increasing bounds value</dd><dt><span>valid_range :</span></dt><dd>[ 0. 999.]</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>focal_plane_temperature_threshold_decreasing</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-003c0cd6-bb44-41a8-8355-1f6726380367' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-003c0cd6-bb44-41a8-8355-1f6726380367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30efc44a-9151-4b99-a128-57b7d9f620ee' class='xr-var-data-in' type='checkbox'><label for='data-30efc44a-9151-4b99-a128-57b7d9f620ee' 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>focal plane temperature threshold decreasing bounds value</dd><dt><span>valid_range :</span></dt><dd>[ 0. 999.]</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array(nan)</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-ff951550-af94-4046-a11c-d661f3c776dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff951550-af94-4046-a11c-d661f3c776dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2c507a6-8c38-47b8-af6d-d71c42674e07' class='xr-var-data-in' type='checkbox'><label for='data-e2c507a6-8c38-47b8-af6d-d71c42674e07' 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>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>earth_sun_distance_anomaly_in_AU</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-f6e37a8d-b29a-42a2-b8ad-fc1a1775f3bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6e37a8d-b29a-42a2-b8ad-fc1a1775f3bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9876249-ffc0-4736-a809-8a80e3f35e7e' class='xr-var-data-in' type='checkbox'><label for='data-e9876249-ffc0-4736-a809-8a80e3f35e7e' 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>earth sun distance anomaly in astronomical units</dd><dt><span>units :</span></dt><dd>ua</dd><dt><span>cell_methods :</span></dt><dd>t: mean</dd></dl></div><div class='xr-var-data'><pre>array(0.985844)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>algorithm_dynamic_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-2b3bc8aa-34e0-4cdc-ac7f-a50618a1ee87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b3bc8aa-34e0-4cdc-ac7f-a50618a1ee87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cca75a8e-5f35-4ba3-9025-19169204f277' class='xr-var-data-in' type='checkbox'><label for='data-cca75a8e-5f35-4ba3-9025-19169204f277' 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_L0_data :</span></dt><dd>OR_ABI-L0-F-M6_G16_s20210351400136_e20210351409444_c*.nc</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>processing_parm_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-0d7b7ff3-7dd6-47ee-8add-e2d40bd67975' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d7b7ff3-7dd6-47ee-8add-e2d40bd67975' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dab0e32-4248-4ead-96a4-266730047e46' class='xr-var-data-in' type='checkbox'><label for='data-1dab0e32-4248-4ead-96a4-266730047e46' 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 processing parameter filenames</dd><dt><span>L1b_processing_parm_version :</span></dt><dd>OR-PARM-RAD_G16_v01r00.zip</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, 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-c12c4012-f5ca-4822-8c42-77e0e184e76d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c12c4012-f5ca-4822-8c42-77e0e184e76d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c702e4e3-f7e9-4ab4-aac1-c5b326567640' class='xr-var-data-in' type='checkbox'><label for='data-c702e4e3-f7e9-4ab4-aac1-c5b326567640' 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 algorithm package filename and product version</dd><dt><span>algorithm_version :</span></dt><dd>OR_ABI-L1b-ALG-RAD_v01r00.zip</dd><dt><span>product_version :</span></dt><dd>v01r00</dd></dl></div><div class='xr-var-data'><pre>array(-2147483647, dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>star_id</span></div><div class='xr-var-dims'>(num_star_looks)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5a53445-34d0-4491-80bb-9dadb183f283' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5a53445-34d0-4491-80bb-9dadb183f283' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e209071-42a2-44e3-bbd3-e31b4a8e00d5' class='xr-var-data-in' type='checkbox'><label for='data-7e209071-42a2-44e3-bbd3-e31b4a8e00d5' 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 star catalog identifier associated with observed star</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", | |
| " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>channel_integration_time</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-9a32af8b-1b11-421b-b7c4-ee6cb07186ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a32af8b-1b11-421b-b7c4-ee6cb07186ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7276d3e-a7b1-4b25-90b3-86325cbfb5b3' class='xr-var-data-in' type='checkbox'><label for='data-b7276d3e-a7b1-4b25-90b3-86325cbfb5b3' 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>Channel-dependent Channel Integration Time, as defined in the VNIR or IR Channel Configuration Table Telemetry</dd><dt><span>units :</span></dt><dd>count</dd></dl></div><div class='xr-var-data'><pre>array(333.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>channel_gain_field</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-c24b2c70-d529-4844-afa1-fa1eca372f20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c24b2c70-d529-4844-afa1-fa1eca372f20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78654884-2155-4e72-be49-e36f1bd31d36' class='xr-var-data-in' type='checkbox'><label for='data-78654884-2155-4e72-be49-e36f1bd31d36' 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>Channel-dependent Gain Field, as defined in the VNIR or IR Channel Configuration Table Telemetry</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25b53549-ff0e-45f5-b934-0621b50d2d79' class='xr-section-summary-in' type='checkbox' ><label for='section-25b53549-ff0e-45f5-b934-0621b50d2d79' class='xr-section-summary' >Attributes: <span>(30)</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>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v35, 20 July 2016)</dd><dt><span>institution :</span></dt><dd>DOC/NOAA/NESDIS > 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>RBU</dd><dt><span>production_environment :</span></dt><dd>OE</dd><dt><span>spatial_resolution :</span></dt><dd>1km at nadir</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</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</dd><dt><span>scene_id :</span></dt><dd>Full Disk</dd><dt><span>instrument_ID :</span></dt><dd>FM1</dd><dt><span>title :</span></dt><dd>ABI L1b Radiances</dd><dt><span>summary :</span></dt><dd>Single reflective band ABI L1b Radiance Products are digital maps of outgoing radiance values at the top of the atmosphere for visible and near-IR bands.</dd><dt><span>keywords :</span></dt><dd>SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE RADIANCE</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>iso_series_metadata_id :</span></dt><dd>a70be540-c38b-11e0-962b-0800200c9a66</dd><dt><span>license :</span></dt><dd>Unclassified data. Access is restricted to approved users only.</dd><dt><span>processing_level :</span></dt><dd>National Aeronautics and Space Administration (NASA) L1b</dd><dt><span>cdm_data_type :</span></dt><dd>Image</dd><dt><span>dataset_name :</span></dt><dd>OR_ABI-L1b-RadF-M6C01_G16_s20210351400136_e20210351409444_c20210351409499.nc</dd><dt><span>production_data_source :</span></dt><dd>Realtime</dd><dt><span>timeline_id :</span></dt><dd>ABI Mode 6</dd><dt><span>date_created :</span></dt><dd>2021-02-04T14:09:49.9Z</dd><dt><span>time_coverage_start :</span></dt><dd>2021-02-04T14:00:13.6Z</dd><dt><span>time_coverage_end :</span></dt><dd>2021-02-04T14:09:44.4Z</dd><dt><span>LUT_Filenames :</span></dt><dd>SpaceLookParams(FM1A_CDRL79RevP_PR_09_00_02)-633686100.0.h5 QTableBand01(FM1A_CDRL79RevH_DO_07_00_00)-582860861.0.h5 CalTargetTimeIntervals(FM1A_CDRL79RevP_DO_08_00_01)-611906620.0.h5 BandSaturationLimits(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 SolarSpaceLookParams(FM1A_CDRL79RevH_DO_09_00_00)-600765435.0.h5 DeadRowListParams(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 Mirror_Record(FM1A_CDRL79RevG_DO_07_00_00)-582860861.0.h5 KalmanAstroConsts(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.xml KalmanFilterControls(FM1A_CDRL79RevJ_PR_09_02_06)-651055200.0.xml KalmanMeasMaxSensibles(FMAA_INT_ONLY_DO_09_01_00)-651039038.0.xml KalmanPreprocessorControls(FM1A_CDRL79RevJ_PR_09_06_02)-657799200.0.xml KalmanReferenceData(FM1A_CDRL79RevH_DO_08_00_00)-888.0.xml KalmanStarCatalogs(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.xml ABI_NavigationRDP_Band01(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml ABI_NavigationParameters_Band01(FM1A_CDRL79RevH_DO_07_00_00)-582860861.0.xml ABI_ResamplingImplementation_Band01(FM1A_CDRL79RevH_DO_07_02_00)-602129336.0.xml ABI_ResamplingParameters_Band01(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml StarLookParams(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 StarDetectionParams(FM1A_CDRL79RevJ_DO_07_00_00)-582860861.0.xml ResamplingScaledConversion(FMAA_INT_ONLY_DO_08_00_00)-1111.0.xml BlockReleaseRegions(FMAA_INT_ONLY_DO_08_00_00)-2222.0.csv VNIR_RetrievalParameters(FM1A_CDRL79RevH_DO_08_00_00)-600000000.0.h5 SCT_Record(FM1A_CDRL79RevM_DO_09_00_00)-600765435.0.h5 ICM_ConversionConsts(FM1A_CDRL43-18_DO_09_01_00)-651038920.0.h5 ICM_SensorCoefficients(FM1A_TMABI_18_159_TMABI_18_533_DO_09_01_00)-651038920.0.h5</dd><dt><span>id :</span></dt><dd>24a8cb59-3c46-472b-8f43-ffebfc73995b</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset>\n", | |
| "Dimensions: (band: 1, num_star_looks: 24, number_of_image_bounds: 2, number_of_time_bounds: 2, x: 10848, y: 10848)\n", | |
| "Coordinates:\n", | |
| " t datetime64[ns] ...\n", | |
| " * y (y) float32 0.1519 ... ...\n", | |
| " * x (x) float32 -0.1519 ......\n", | |
| " y_image float32 ...\n", | |
| " x_image float32 ...\n", | |
| " band_id (band) int8 ...\n", | |
| " band_wavelength (band) float32 ...\n", | |
| " t_star_look (num_star_looks) datetime64[ns] ...\n", | |
| " band_wavelength_star_look (num_star_looks) float32 ...\n", | |
| "Dimensions without coordinates: band, num_star_looks, number_of_image_bounds, number_of_time_bounds\n", | |
| "Data variables:\n", | |
| " Rad (y, x) float32 ...\n", | |
| " DQF (y, x) float32 ...\n", | |
| " time_bounds (number_of_time_bounds) datetime64[ns] ...\n", | |
| " goes_imager_projection int32 ...\n", | |
| " y_image_bounds (number_of_image_bounds) float32 ...\n", | |
| " x_image_bounds (number_of_image_bounds) float32 ...\n", | |
| " nominal_satellite_subpoint_lat float32 ...\n", | |
| " nominal_satellite_subpoint_lon float32 ...\n", | |
| " nominal_satellite_height float32 ...\n", | |
| " geospatial_lat_lon_extent float32 ...\n", | |
| " yaw_flip_flag float32 ...\n", | |
| " esun float32 ...\n", | |
| " kappa0 float32 ...\n", | |
| " planck_fk1 float32 ...\n", | |
| " planck_fk2 float32 ...\n", | |
| " planck_bc1 float32 ...\n", | |
| " planck_bc2 float32 ...\n", | |
| " valid_pixel_count float64 ...\n", | |
| " missing_pixel_count float64 ...\n", | |
| " saturated_pixel_count float64 ...\n", | |
| " undersaturated_pixel_count float64 ...\n", | |
| " focal_plane_temperature_threshold_exceeded_count float64 ...\n", | |
| " min_radiance_value_of_valid_pixels float32 ...\n", | |
| " max_radiance_value_of_valid_pixels float32 ...\n", | |
| " mean_radiance_value_of_valid_pixels float32 ...\n", | |
| " std_dev_radiance_value_of_valid_pixels float32 ...\n", | |
| " maximum_focal_plane_temperature float32 ...\n", | |
| " focal_plane_temperature_threshold_increasing float32 ...\n", | |
| " focal_plane_temperature_threshold_decreasing float32 ...\n", | |
| " percent_uncorrectable_L0_errors float32 ...\n", | |
| " earth_sun_distance_anomaly_in_AU float32 ...\n", | |
| " algorithm_dynamic_input_data_container int32 ...\n", | |
| " processing_parm_version_container int32 ...\n", | |
| " algorithm_product_version_container int32 ...\n", | |
| " star_id (num_star_looks) float32 ...\n", | |
| " channel_integration_time float64 ...\n", | |
| " channel_gain_field float64 ...\n", | |
| "Attributes:\n", | |
| " naming_authority: gov.nesdis.noaa\n", | |
| " Conventions: CF-1.7\n", | |
| " standard_name_vocabulary: CF Standard Name Table (v35, 20 July 2016)\n", | |
| " institution: DOC/NOAA/NESDIS > U.S. Department of Commerce,...\n", | |
| " project: GOES\n", | |
| " production_site: RBU\n", | |
| " production_environment: OE\n", | |
| " spatial_resolution: 1km at nadir\n", | |
| " Metadata_Conventions: Unidata Dataset Discovery v1.0\n", | |
| " orbital_slot: GOES-East\n", | |
| " platform_ID: G16\n", | |
| " instrument_type: GOES R Series Advanced Baseline Imager\n", | |
| " scene_id: Full Disk\n", | |
| " instrument_ID: FM1\n", | |
| " title: ABI L1b Radiances\n", | |
| " summary: Single reflective band ABI L1b Radiance Produc...\n", | |
| " keywords: SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > V...\n", | |
| " keywords_vocabulary: NASA Global Change Master Directory (GCMD) Ear...\n", | |
| " iso_series_metadata_id: a70be540-c38b-11e0-962b-0800200c9a66\n", | |
| " license: Unclassified data. Access is restricted to ap...\n", | |
| " processing_level: National Aeronautics and Space Administration ...\n", | |
| " cdm_data_type: Image\n", | |
| " dataset_name: OR_ABI-L1b-RadF-M6C01_G16_s20210351400136_e202...\n", | |
| " production_data_source: Realtime\n", | |
| " timeline_id: ABI Mode 6\n", | |
| " date_created: 2021-02-04T14:09:49.9Z\n", | |
| " time_coverage_start: 2021-02-04T14:00:13.6Z\n", | |
| " time_coverage_end: 2021-02-04T14:09:44.4Z\n", | |
| " LUT_Filenames: SpaceLookParams(FM1A_CDRL79RevP_PR_09_00_02)-6...\n", | |
| " id: 24a8cb59-3c46-472b-8f43-ffebfc73995b" | |
| ] | |
| }, | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "DS = xr.open_dataset(store)\n", | |
| "DS" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "broken-subdivision", | |
| "metadata": {}, | |
| "source": [ | |
| "# Visualize Data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "systematic-batman", | |
| "metadata": {}, | |
| "source": [ | |
| "Now we can visualize the data. For example, lets show the image of the data using `matplotlib`." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "id": "running-plumbing", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.image.AxesImage at 0x7f96a874b160>" | |
| ] | |
| }, | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": [ | |
| "<Figure size 864x864 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "fig = plt.figure(figsize=(12, 12))\n", | |
| "plt.axis('off')\n", | |
| "plt.imshow(DS.Rad, cmap='gray')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "plain-karen", | |
| "metadata": {}, | |
| "source": [ | |
| "# Conclusion" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "decent-canyon", | |
| "metadata": {}, | |
| "source": [ | |
| "So we have downloaded and visualized the data from the GEOS satalite stored in a public access Amazon s3 bucket. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "mechanical-remove", | |
| "metadata": {}, | |
| "source": [ | |
| "## What we did" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "wanted-circular", | |
| "metadata": {}, | |
| "source": [ | |
| "We have used GEOS satilite data stored in a public access amazon s3 bucket to visualize the Earth's atmosphere. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "angry-appraisal", | |
| "metadata": {}, | |
| "source": [ | |
| "Looking into the attributes of dataset we see that:\n", | |
| "\n", | |
| "1. We have used the GOES R Series Advanced Baseline Imager\n", | |
| "2. The data consists of the full disk view from the orbital slot of GEOS-EAST on the GEOS-16 platform.\n", | |
| "3. The title of the dataset visualized is the ABI L1b Radiances " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "amino-calcium", | |
| "metadata": {}, | |
| "source": [ | |
| "Summary of dataset visulaised: \n", | |
| "\n", | |
| "> Single reflective band ABI L1b Radiance Products are digital maps of outgoing radiance values at the top of the atmosphere for visible and near-IR bands." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "logical-japanese", | |
| "metadata": {}, | |
| "source": [ | |
| "And, the dataset was created on 2021-02-04." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "meaning-fence", | |
| "metadata": {}, | |
| "source": [ | |
| "## How we did it" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "unsigned-canyon", | |
| "metadata": {}, | |
| "source": [ | |
| "1. We used `boto3` to access Amazon s3 bucket information in order to find the `'Key'` of our dataset that we want to download.\n", | |
| "2. We used the `requests` package to download the dataset from Amazon s3 bucket. \n", | |
| "3. We used packages `xarray` and `netCDF4` to manipulate the dataset. \n", | |
| "4. We used `matplotlib` to plot the dataset for visualizatoin." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "dutch-carbon", | |
| "metadata": {}, | |
| "source": [ | |
| "# References" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "unable-jacket", | |
| "metadata": {}, | |
| "source": [ | |
| "1. Visualize GOES-16 Data from S3 by Hamed Alemohammad. Link: [https://github.com/HamedAlemo/visualize-goes16/blob/master/visualize_GOES16_from_AWS.ipynb](https://github.com/HamedAlemo/visualize-goes16/blob/master/visualize_GOES16_from_AWS.ipynb) Date accessed: Febuary 23rd, 2021.\n", | |
| "2. Boto3 Docs 1.17.14 documentaion. Paginators. Link: [https://boto3.amazonaws.com/v1/documentation/api/latest/guide/paginators.html](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/paginators.html) Date accessed: Febuary 23rd, 2021.\n", | |
| "3. Registry of Open Data on AWS. NOAA Geostationary Operational Environmental Satellites (GOES) 16 & 17. Link: [https://registry.opendata.aws/noaa-goes/](https://registry.opendata.aws/noaa-goes/) Date accessed: February 23rd, 2021.\n", | |
| "4. NOAA GOES on AWS (CICS) Documentation. Link: [https://docs.opendata.aws/noaa-goes16/cics-readme.html](https://docs.opendata.aws/noaa-goes16/cics-readme.html) Date accessed: Febrauary 23rd, 2021." | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.7.1" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment