Skip to content

Instantly share code, notes, and snippets.

@aidanheerdegen

aidanheerdegen/CLEX_winter_school_Eastern_Australia_floods.ipynb

Last active May 17, 2022 06:41
Show Gist options
  • Save aidanheerdegen/95ee62a9552e6d3e6d2807828d64d8f4 to your computer and use it in GitHub Desktop.
Save aidanheerdegen/95ee62a9552e6d3e6d2807828d64d8f4 to your computer and use it in GitHub Desktop.
Download ZIP
Example of calculating metrics from the East Australian floods of 2021
Display the source blob
Display the rendered blob
Raw
CLEX_winter_school_Eastern_Australia_floods.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "facc85f9",
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"import numpy as np\n",
"import xarray as xr\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from cartopy.geodesic import Geodesic\n",
"import cartopy.crs as ccrs"
]
},
{
"cell_type": "markdown",
"id": "35dca707",
"metadata": {},
"source": [
"Set paths to datasets. The 2D and 3D variables are stored in different files"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "0a755183",
"metadata": {},
"outputs": [],
"source": [
"datadir = Path('data')\n",
"data_file_2D = datadir / \"ERA5_merged_Aus_6hourly_2021-03_2D.nc\"\n",
"data_file_3D = datadir / \"ERA5_merged_Aus_6hourly_2021-03_3D.nc\""
]
},
{
"cell_type": "markdown",
"id": "77b4978e",
"metadata": {},
"source": [
"Open data files and load metadata into [``xarray.Dataset``](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html) objects. Note no data is loaded at this point, just metadata."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "c40c8a59",
"metadata": {},
"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 !important;\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'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 56, longitude: 201, latitude: 141)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-03-16T03:00:00 ... 2021-03-29T21:00:00\n",
" * longitude (longitude) float32 110.0 110.2 110.5 110.8 ... 159.5 159.8 160.0\n",
" * latitude (latitude) float32 -10.0 -10.25 -10.5 ... -44.5 -44.75 -45.0\n",
"Data variables:\n",
" u10 (time, latitude, longitude) float32 ...\n",
" v10 (time, latitude, longitude) float32 ...\n",
" t2m (time, latitude, longitude) float32 ...\n",
" mer (time, latitude, longitude) float32 ...\n",
" msl (time, latitude, longitude) float32 ...\n",
" mtnlwrf (time, latitude, longitude) float32 ...\n",
" mtpr (time, latitude, longitude) float32 ...\n",
" tciw (time, latitude, longitude) float32 ...\n",
" tclw (time, latitude, longitude) float32 ...\n",
" tcwv (time, latitude, longitude) float32 ...\n",
" p71.162 (time, latitude, longitude) float32 ...\n",
" p72.162 (time, latitude, longitude) float32 ...\n",
"Attributes:\n",
" CDI: Climate Data Interface version 1.9.10 (https://mpimet.mpg.d...\n",
" Conventions: CF-1.6\n",
" history: Fri May 13 00:02:43 2022: cdo merge ERA5_Aus_6hourly_2021-0...\n",
" license: Licence to use Copernicus Products: https://apps.ecmwf.int/...\n",
" summary: ERA5 is the fifth generation ECMWF atmospheric reanalysis o...\n",
" title: ERA5 single-levels reanalysis 10m_u_component_of_wind 20210...\n",
" NCO: netCDF Operators version 5.0.5 (Homepage = http://nco.sf.ne...\n",
" var_nm: u10\n",
" CDO: Climate Data Operators version 1.9.10 (https://mpimet.mpg.d...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e54746cc-9282-4724-88eb-451935c72cce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e54746cc-9282-4724-88eb-451935c72cce' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 56</li><li><span class='xr-has-index'>longitude</span>: 201</li><li><span class='xr-has-index'>latitude</span>: 141</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ffb33e9c-9149-462d-a72f-5c6770a0392c' class='xr-section-summary-in' type='checkbox' checked><label for='section-ffb33e9c-9149-462d-a72f-5c6770a0392c' class='xr-section-summary' >Coordinates: <span>(3)</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 class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-03-16T03:00:00 ... 2021-03-...</div><input id='attrs-505f3118-f519-4b29-9587-887579f9e779' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-505f3118-f519-4b29-9587-887579f9e779' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31988cb5-2df7-4f4d-bf86-ac9be9bb320a' class='xr-var-data-in' type='checkbox'><label for='data-31988cb5-2df7-4f4d-bf86-ac9be9bb320a' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-03-16T03:00:00.000000000&#x27;, &#x27;2021-03-16T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-16T15:00:00.000000000&#x27;, &#x27;2021-03-16T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-17T03:00:00.000000000&#x27;, &#x27;2021-03-17T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-17T15:00:00.000000000&#x27;, &#x27;2021-03-17T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-18T03:00:00.000000000&#x27;, &#x27;2021-03-18T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-18T15:00:00.000000000&#x27;, &#x27;2021-03-18T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-19T03:00:00.000000000&#x27;, &#x27;2021-03-19T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-19T15:00:00.000000000&#x27;, &#x27;2021-03-19T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-20T03:00:00.000000000&#x27;, &#x27;2021-03-20T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-20T15:00:00.000000000&#x27;, &#x27;2021-03-20T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-21T03:00:00.000000000&#x27;, &#x27;2021-03-21T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-21T15:00:00.000000000&#x27;, &#x27;2021-03-21T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-22T03:00:00.000000000&#x27;, &#x27;2021-03-22T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-22T15:00:00.000000000&#x27;, &#x27;2021-03-22T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-23T03:00:00.000000000&#x27;, &#x27;2021-03-23T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-23T15:00:00.000000000&#x27;, &#x27;2021-03-23T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-24T03:00:00.000000000&#x27;, &#x27;2021-03-24T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-24T15:00:00.000000000&#x27;, &#x27;2021-03-24T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-25T03:00:00.000000000&#x27;, &#x27;2021-03-25T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-25T15:00:00.000000000&#x27;, &#x27;2021-03-25T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-26T03:00:00.000000000&#x27;, &#x27;2021-03-26T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-26T15:00:00.000000000&#x27;, &#x27;2021-03-26T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-27T03:00:00.000000000&#x27;, &#x27;2021-03-27T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-27T15:00:00.000000000&#x27;, &#x27;2021-03-27T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-28T03:00:00.000000000&#x27;, &#x27;2021-03-28T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-28T15:00:00.000000000&#x27;, &#x27;2021-03-28T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-29T03:00:00.000000000&#x27;, &#x27;2021-03-29T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-29T15:00:00.000000000&#x27;, &#x27;2021-03-29T21:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>110.0 110.2 110.5 ... 159.8 160.0</div><input id='attrs-fa4d9732-b404-441c-9baf-7b17ec0fc782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa4d9732-b404-441c-9baf-7b17ec0fc782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afe1ed94-2246-4154-962c-c12930272e1b' class='xr-var-data-in' type='checkbox'><label for='data-afe1ed94-2246-4154-962c-c12930272e1b' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([110. , 110.25, 110.5 , ..., 159.5 , 159.75, 160. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-10.0 -10.25 -10.5 ... -44.75 -45.0</div><input id='attrs-bd78fad4-9178-49c9-8f02-486e03df0cfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd78fad4-9178-49c9-8f02-486e03df0cfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a9e278d-0039-4d1c-8a0e-6f8898789b68' class='xr-var-data-in' type='checkbox'><label for='data-1a9e278d-0039-4d1c-8a0e-6f8898789b68' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-10. , -10.25, -10.5 , -10.75, -11. , -11.25, -11.5 , -11.75, -12. ,\n",
" -12.25, -12.5 , -12.75, -13. , -13.25, -13.5 , -13.75, -14. , -14.25,\n",
" -14.5 , -14.75, -15. , -15.25, -15.5 , -15.75, -16. , -16.25, -16.5 ,\n",
" -16.75, -17. , -17.25, -17.5 , -17.75, -18. , -18.25, -18.5 , -18.75,\n",
" -19. , -19.25, -19.5 , -19.75, -20. , -20.25, -20.5 , -20.75, -21. ,\n",
" -21.25, -21.5 , -21.75, -22. , -22.25, -22.5 , -22.75, -23. , -23.25,\n",
" -23.5 , -23.75, -24. , -24.25, -24.5 , -24.75, -25. , -25.25, -25.5 ,\n",
" -25.75, -26. , -26.25, -26.5 , -26.75, -27. , -27.25, -27.5 , -27.75,\n",
" -28. , -28.25, -28.5 , -28.75, -29. , -29.25, -29.5 , -29.75, -30. ,\n",
" -30.25, -30.5 , -30.75, -31. , -31.25, -31.5 , -31.75, -32. , -32.25,\n",
" -32.5 , -32.75, -33. , -33.25, -33.5 , -33.75, -34. , -34.25, -34.5 ,\n",
" -34.75, -35. , -35.25, -35.5 , -35.75, -36. , -36.25, -36.5 , -36.75,\n",
" -37. , -37.25, -37.5 , -37.75, -38. , -38.25, -38.5 , -38.75, -39. ,\n",
" -39.25, -39.5 , -39.75, -40. , -40.25, -40.5 , -40.75, -41. , -41.25,\n",
" -41.5 , -41.75, -42. , -42.25, -42.5 , -42.75, -43. , -43.25, -43.5 ,\n",
" -43.75, -44. , -44.25, -44.5 , -44.75, -45. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa553f6f-5a2a-4acb-bc17-f4b18e5dd626' class='xr-section-summary-in' type='checkbox' checked><label for='section-fa553f6f-5a2a-4acb-bc17-f4b18e5dd626' class='xr-section-summary' >Data variables: <span>(12)</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>u10</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05a63290-6a16-4d58-8f49-874910e5a96c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05a63290-6a16-4d58-8f49-874910e5a96c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-716d87b8-722c-4e94-a9f8-d3de4d3290e9' class='xr-var-data-in' type='checkbox'><label for='data-716d87b8-722c-4e94-a9f8-d3de4d3290e9' 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>10 metre U wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c539aeb0-ab2f-4607-bf04-9d53bb2d12bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c539aeb0-ab2f-4607-bf04-9d53bb2d12bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80537b6c-47cb-41ac-bb32-fd9a87736aff' class='xr-var-data-in' type='checkbox'><label for='data-80537b6c-47cb-41ac-bb32-fd9a87736aff' 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>10 metre V wind component</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8669f883-96d1-4c00-a3a4-27cf3e629588' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8669f883-96d1-4c00-a3a4-27cf3e629588' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eee22c2e-0b96-4ce5-97ad-fdedbb42488a' class='xr-var-data-in' type='checkbox'><label for='data-eee22c2e-0b96-4ce5-97ad-fdedbb42488a' 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>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mer</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a80d76b-8330-49ef-b98b-65dd7f3ea679' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a80d76b-8330-49ef-b98b-65dd7f3ea679' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e75647d5-65df-4fd3-a973-2a2b4bb3f169' class='xr-var-data-in' type='checkbox'><label for='data-e75647d5-65df-4fd3-a973-2a2b4bb3f169' 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 evaporation rate</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>msl</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53116315-3516-48fd-8a0f-98d19c926297' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53116315-3516-48fd-8a0f-98d19c926297' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67b7e89c-11e3-48f6-bfae-866f2c7569f2' class='xr-var-data-in' type='checkbox'><label for='data-67b7e89c-11e3-48f6-bfae-866f2c7569f2' 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>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>long_name :</span></dt><dd>Mean sea level pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mtnlwrf</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0aa143e0-bfdf-43f4-8988-2c332ecda719' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aa143e0-bfdf-43f4-8988-2c332ecda719' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-112e29e3-8112-4b0b-8c68-ca6db86866f0' class='xr-var-data-in' type='checkbox'><label for='data-112e29e3-8112-4b0b-8c68-ca6db86866f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Mean top net long-wave radiation flux</dd><dt><span>units :</span></dt><dd>W m**-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mtpr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a874ebad-06ac-4a72-8db9-47ce0d8db9e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a874ebad-06ac-4a72-8db9-47ce0d8db9e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f8c4dd9-b66d-437d-92a4-860a45407203' class='xr-var-data-in' type='checkbox'><label for='data-7f8c4dd9-b66d-437d-92a4-860a45407203' 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 total precipitation rate</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tciw</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-014b8bd9-2f7c-4044-a75e-8fa87c71d808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-014b8bd9-2f7c-4044-a75e-8fa87c71d808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17afb7d0-6c51-4bff-a2bf-bf209dfe7621' class='xr-var-data-in' type='checkbox'><label for='data-17afb7d0-6c51-4bff-a2bf-bf209dfe7621' 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>Total column cloud ice water</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tclw</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d65f73d-7b44-4076-8fb7-63497b72d501' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d65f73d-7b44-4076-8fb7-63497b72d501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a24778a9-42fb-45d4-bf85-7644e69eca7f' class='xr-var-data-in' type='checkbox'><label for='data-a24778a9-42fb-45d4-bf85-7644e69eca7f' 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>Total column cloud liquid water</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f025aee3-6e23-4850-8767-1052dc05468e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f025aee3-6e23-4850-8767-1052dc05468e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92fc59aa-33c3-401c-aa75-e9d38f56cf1e' class='xr-var-data-in' type='checkbox'><label for='data-92fc59aa-33c3-401c-aa75-e9d38f56cf1e' 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>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>long_name :</span></dt><dd>Total column water vapour</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p71.162</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c212fea-2a1b-4d31-af4a-3d13ea0fc906' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c212fea-2a1b-4d31-af4a-3d13ea0fc906' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dd21960-6363-4336-904a-1eb5d6bae009' class='xr-var-data-in' type='checkbox'><label for='data-5dd21960-6363-4336-904a-1eb5d6bae009' 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>Vertical integral of eastward water vapour flux</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>p72.162</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b856dcba-723c-48cc-a4fb-dbb289ffb3a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b856dcba-723c-48cc-a4fb-dbb289ffb3a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d48eacf-3f92-4136-a94c-75fcd83a8170' class='xr-var-data-in' type='checkbox'><label for='data-1d48eacf-3f92-4136-a94c-75fcd83a8170' 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>Vertical integral of northward water vapour flux</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[1587096 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e52c82cc-bd8b-4e3e-912c-7744a9eb131f' class='xr-section-summary-in' type='checkbox' checked><label for='section-e52c82cc-bd8b-4e3e-912c-7744a9eb131f' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.10 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Fri May 13 00:02:43 2022: cdo merge ERA5_Aus_6hourly_2021-03_10u.nc ERA5_Aus_6hourly_2021-03_10v.nc ERA5_Aus_6hourly_2021-03_2t.nc ERA5_Aus_6hourly_2021-03_mer.nc ERA5_Aus_6hourly_2021-03_msl.nc ERA5_Aus_6hourly_2021-03_mtnlwrf.nc ERA5_Aus_6hourly_2021-03_mtpr.nc ERA5_Aus_6hourly_2021-03_tciw.nc ERA5_Aus_6hourly_2021-03_tclw.nc ERA5_Aus_6hourly_2021-03_tcwv.nc ERA5_Aus_6hourly_2021-03_viwve.nc ERA5_Aus_6hourly_2021-03_viwvn.nc ERA5_merged_Aus_6hourly_2021-03_2D.nc\n",
"Thu May 12 23:18:38 2022: ncap2 -O -S ./change_dbl_to_float.ncap ./ERA5_Aus_6hourly_2021-03_10u.nc ./ERA5_Aus_6hourly_2021-03_10u.nc\n",
"Thu May 12 23:18:37 2022: ncap2 -O -s time=time-1 ./ERA5_Aus_6hourly_2021-03_10u.nc ./ERA5_Aus_6hourly_2021-03_10u.nc\n",
"Thu May 12 23:18:08 2022: ncra -O --mro -d time,361,696,6,6 ./ERA5_Aus_6hourly_2021-03_10u.nc ./ERA5_Aus_6hourly_2021-03_10u.nc\n",
"Thu May 12 23:18:05 2022: ncks -O --mk_rec_dmn time ./ERA5_Aus_6hourly_2021-03_10u.nc ./ERA5_Aus_6hourly_2021-03_10u.nc\n",
"Thu May 12 23:18:03 2022: ncks -O -d latitude,-45.,-10. -d longitude,110.,160. /g/data/rt52/era5/single-levels/reanalysis/10u/2021/10u_era5_oper_sfc_20210301-20210331.nc ./ERA5_Aus_6hourly_2021-03_10u.nc\n",
"2021-07-02 14:28:41 UTC+1000 by era5_replication_tools-1.9.5: mv /g/data/rt52/admin/incoming/era5/single-levels/reanalysis/10u/2021/10u_era5_oper_sfc_20210301-20210331.tmp /g/data/rt52/era5/single-levels/reanalysis/10u/2021/10u_era5_oper_sfc_20210301-20210331.nc\n",
"2021-07-02 14:27:33 UTC+1000 by era5_replication_tools-1.9.5: nccopy -m1G -h1G -k4 -d5 -s /g/data/id28/admin/incoming/era5/single-levels/reanalysis/10u/2021/10u_era5_oper_sfc_20210301-20210331.nc /g/data/rt52/admin/incoming/era5/single-levels/reanalysis/10u/2021/10u_era5_oper_sfc_20210301-20210331.tmp\n",
"2021-07-02 14:23:16 UTC+1000 by era5_replication_tools-1.9.5: curl --connect-timeout 20 --show-error --silent --max-time 36000 -o /g/data/id28/admin/incoming/era5/single-levels/reanalysis/10u/2021/10u_era5_oper_sfc_20210301-20210331.nc https://download-0001.copernicus-climate.eu/cache-compute-0001/cache/data0/adaptor.mars.internal-1625199527.6611884-16352-3-9272e70b-90a9-4f7d-a37c-c2ef1f76eef6.nc\n",
"2021-07-02 04:18:57 GMT by grib_to_netcdf-2.20.0: /opt/ecmwf/mars-client/bin/grib_to_netcdf -S param -o /cache/data0/adaptor.mars.internal-1625199527.6611884-16352-3-9272e70b-90a9-4f7d-a37c-c2ef1f76eef6.nc /cache/tmp/9272e70b-90a9-4f7d-a37c-c2ef1f76eef6-adaptor.mars.internal-1625199493.3740494-16352-5-tmp.grib</dd><dt><span>license :</span></dt><dd>Licence to use Copernicus Products: https://apps.ecmwf.int/datasets/licences/copernicus/</dd><dt><span>summary :</span></dt><dd>ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. This file is part of the ERA5 replica hosted at NCI Australia. For more information please see http://dx.doi.org/10.25914/5f48874388857</dd><dt><span>title :</span></dt><dd>ERA5 single-levels reanalysis 10m_u_component_of_wind 20210301-20210331</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 5.0.5 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>var_nm :</span></dt><dd>u10</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.10 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 56, longitude: 201, latitude: 141)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-03-16T03:00:00 ... 2021-03-29T21:00:00\n",
" * longitude (longitude) float32 110.0 110.2 110.5 110.8 ... 159.5 159.8 160.0\n",
" * latitude (latitude) float32 -10.0 -10.25 -10.5 ... -44.5 -44.75 -45.0\n",
"Data variables:\n",
" u10 (time, latitude, longitude) float32 ...\n",
" v10 (time, latitude, longitude) float32 ...\n",
" t2m (time, latitude, longitude) float32 ...\n",
" mer (time, latitude, longitude) float32 ...\n",
" msl (time, latitude, longitude) float32 ...\n",
" mtnlwrf (time, latitude, longitude) float32 ...\n",
" mtpr (time, latitude, longitude) float32 ...\n",
" tciw (time, latitude, longitude) float32 ...\n",
" tclw (time, latitude, longitude) float32 ...\n",
" tcwv (time, latitude, longitude) float32 ...\n",
" p71.162 (time, latitude, longitude) float32 ...\n",
" p72.162 (time, latitude, longitude) float32 ...\n",
"Attributes:\n",
" CDI: Climate Data Interface version 1.9.10 (https://mpimet.mpg.d...\n",
" Conventions: CF-1.6\n",
" history: Fri May 13 00:02:43 2022: cdo merge ERA5_Aus_6hourly_2021-0...\n",
" license: Licence to use Copernicus Products: https://apps.ecmwf.int/...\n",
" summary: ERA5 is the fifth generation ECMWF atmospheric reanalysis o...\n",
" title: ERA5 single-levels reanalysis 10m_u_component_of_wind 20210...\n",
" NCO: netCDF Operators version 5.0.5 (Homepage = http://nco.sf.ne...\n",
" var_nm: u10\n",
" CDO: Climate Data Operators version 1.9.10 (https://mpimet.mpg.d..."
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ERA5_2D = xr.open_dataset(data_file_2D)\n",
"ERA5_2D"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "565e5ebe",
"metadata": {},
"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 !important;\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'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (time: 56, longitude: 201, latitude: 141, level: 10)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-03-16T03:00:00 ... 2021-03-29T21:00:00\n",
" * longitude (longitude) float32 110.0 110.2 110.5 110.8 ... 159.5 159.8 160.0\n",
" * latitude (latitude) float32 -10.0 -10.25 -10.5 ... -44.5 -44.75 -45.0\n",
" * level (level) float64 70.0 150.0 225.0 350.0 ... 850.0 925.0 1e+03\n",
"Data variables:\n",
" q (time, level, latitude, longitude) float32 ...\n",
" t (time, level, latitude, longitude) float32 ...\n",
" u (time, level, latitude, longitude) float32 ...\n",
" v (time, level, latitude, longitude) float32 ...\n",
" z (time, level, latitude, longitude) float32 ...\n",
"Attributes:\n",
" CDI: Climate Data Interface version 1.9.10 (https://mpimet.mpg.d...\n",
" Conventions: CF-1.6\n",
" history: Fri May 13 00:02:43 2022: cdo merge ERA5_Aus_6hourly_2021-0...\n",
" license: Licence to use Copernicus Products: https://apps.ecmwf.int/...\n",
" summary: ERA5 is the fifth generation ECMWF atmospheric reanalysis o...\n",
" title: ERA5 pressure-levels oper specific_humidity 20210301-20210331\n",
" NCO: netCDF Operators version 5.0.5 (Homepage = http://nco.sf.ne...\n",
" var_nm: q\n",
" CDO: Climate Data Operators version 1.9.10 (https://mpimet.mpg.d...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4f66870c-c760-4dd0-8357-c620dc254293' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f66870c-c760-4dd0-8357-c620dc254293' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 56</li><li><span class='xr-has-index'>longitude</span>: 201</li><li><span class='xr-has-index'>latitude</span>: 141</li><li><span class='xr-has-index'>level</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fe15d5ee-caf4-4e99-b5bc-bb29abd9b80d' class='xr-section-summary-in' type='checkbox' checked><label for='section-fe15d5ee-caf4-4e99-b5bc-bb29abd9b80d' class='xr-section-summary' >Coordinates: <span>(4)</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 class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-03-16T03:00:00 ... 2021-03-...</div><input id='attrs-f0b4bac7-c873-4a3d-999d-faac0fe5aae2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0b4bac7-c873-4a3d-999d-faac0fe5aae2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78cbd5e0-68cd-4920-9e5a-2425aa2ee53f' class='xr-var-data-in' type='checkbox'><label for='data-78cbd5e0-68cd-4920-9e5a-2425aa2ee53f' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2021-03-16T03:00:00.000000000&#x27;, &#x27;2021-03-16T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-16T15:00:00.000000000&#x27;, &#x27;2021-03-16T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-17T03:00:00.000000000&#x27;, &#x27;2021-03-17T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-17T15:00:00.000000000&#x27;, &#x27;2021-03-17T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-18T03:00:00.000000000&#x27;, &#x27;2021-03-18T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-18T15:00:00.000000000&#x27;, &#x27;2021-03-18T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-19T03:00:00.000000000&#x27;, &#x27;2021-03-19T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-19T15:00:00.000000000&#x27;, &#x27;2021-03-19T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-20T03:00:00.000000000&#x27;, &#x27;2021-03-20T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-20T15:00:00.000000000&#x27;, &#x27;2021-03-20T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-21T03:00:00.000000000&#x27;, &#x27;2021-03-21T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-21T15:00:00.000000000&#x27;, &#x27;2021-03-21T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-22T03:00:00.000000000&#x27;, &#x27;2021-03-22T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-22T15:00:00.000000000&#x27;, &#x27;2021-03-22T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-23T03:00:00.000000000&#x27;, &#x27;2021-03-23T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-23T15:00:00.000000000&#x27;, &#x27;2021-03-23T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-24T03:00:00.000000000&#x27;, &#x27;2021-03-24T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-24T15:00:00.000000000&#x27;, &#x27;2021-03-24T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-25T03:00:00.000000000&#x27;, &#x27;2021-03-25T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-25T15:00:00.000000000&#x27;, &#x27;2021-03-25T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-26T03:00:00.000000000&#x27;, &#x27;2021-03-26T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-26T15:00:00.000000000&#x27;, &#x27;2021-03-26T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-27T03:00:00.000000000&#x27;, &#x27;2021-03-27T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-27T15:00:00.000000000&#x27;, &#x27;2021-03-27T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-28T03:00:00.000000000&#x27;, &#x27;2021-03-28T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-28T15:00:00.000000000&#x27;, &#x27;2021-03-28T21:00:00.000000000&#x27;,\n",
" &#x27;2021-03-29T03:00:00.000000000&#x27;, &#x27;2021-03-29T09:00:00.000000000&#x27;,\n",
" &#x27;2021-03-29T15:00:00.000000000&#x27;, &#x27;2021-03-29T21:00:00.000000000&#x27;],\n",
" dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>110.0 110.2 110.5 ... 159.8 160.0</div><input id='attrs-a7827d8b-a124-4153-85d0-1cd2fe60bcf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7827d8b-a124-4153-85d0-1cd2fe60bcf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ae38e6a-8a8a-428a-9f59-3e768e70a807' class='xr-var-data-in' type='checkbox'><label for='data-7ae38e6a-8a8a-428a-9f59-3e768e70a807' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([110. , 110.25, 110.5 , ..., 159.5 , 159.75, 160. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-10.0 -10.25 -10.5 ... -44.75 -45.0</div><input id='attrs-c5f8fa52-d6d2-47c5-82de-c585fd13bcbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5f8fa52-d6d2-47c5-82de-c585fd13bcbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83d0cd5e-58bd-42c5-8b7d-5a320880cd72' class='xr-var-data-in' type='checkbox'><label for='data-83d0cd5e-58bd-42c5-8b7d-5a320880cd72' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-10. , -10.25, -10.5 , -10.75, -11. , -11.25, -11.5 , -11.75, -12. ,\n",
" -12.25, -12.5 , -12.75, -13. , -13.25, -13.5 , -13.75, -14. , -14.25,\n",
" -14.5 , -14.75, -15. , -15.25, -15.5 , -15.75, -16. , -16.25, -16.5 ,\n",
" -16.75, -17. , -17.25, -17.5 , -17.75, -18. , -18.25, -18.5 , -18.75,\n",
" -19. , -19.25, -19.5 , -19.75, -20. , -20.25, -20.5 , -20.75, -21. ,\n",
" -21.25, -21.5 , -21.75, -22. , -22.25, -22.5 , -22.75, -23. , -23.25,\n",
" -23.5 , -23.75, -24. , -24.25, -24.5 , -24.75, -25. , -25.25, -25.5 ,\n",
" -25.75, -26. , -26.25, -26.5 , -26.75, -27. , -27.25, -27.5 , -27.75,\n",
" -28. , -28.25, -28.5 , -28.75, -29. , -29.25, -29.5 , -29.75, -30. ,\n",
" -30.25, -30.5 , -30.75, -31. , -31.25, -31.5 , -31.75, -32. , -32.25,\n",
" -32.5 , -32.75, -33. , -33.25, -33.5 , -33.75, -34. , -34.25, -34.5 ,\n",
" -34.75, -35. , -35.25, -35.5 , -35.75, -36. , -36.25, -36.5 , -36.75,\n",
" -37. , -37.25, -37.5 , -37.75, -38. , -38.25, -38.5 , -38.75, -39. ,\n",
" -39.25, -39.5 , -39.75, -40. , -40.25, -40.5 , -40.75, -41. , -41.25,\n",
" -41.5 , -41.75, -42. , -42.25, -42.5 , -42.75, -43. , -43.25, -43.5 ,\n",
" -43.75, -44. , -44.25, -44.5 , -44.75, -45. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>70.0 150.0 225.0 ... 925.0 1e+03</div><input id='attrs-0ddafec1-7508-4199-bdfc-16df02c8b801' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ddafec1-7508-4199-bdfc-16df02c8b801' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80c60e58-31a5-4383-af37-8825a1c643ce' class='xr-var-data-in' type='checkbox'><label for='data-80c60e58-31a5-4383-af37-8825a1c643ce' 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>standard_name :</span></dt><dd>air_pressure</dd><dt><span>long_name :</span></dt><dd>pressure_level</dd><dt><span>units :</span></dt><dd>millibars</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([ 70., 150., 225., 350., 500., 650., 775., 850., 925., 1000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf496646-530a-4c51-96b4-3d3f529e8417' class='xr-section-summary-in' type='checkbox' checked><label for='section-cf496646-530a-4c51-96b4-3d3f529e8417' class='xr-section-summary' >Data variables: <span>(5)</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>q</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f756afe-10f0-4f8b-abab-5c0da658704f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f756afe-10f0-4f8b-abab-5c0da658704f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d66ee0-dd57-4367-a439-62def0afbaf4' class='xr-var-data-in' type='checkbox'><label for='data-64d66ee0-dd57-4367-a439-62def0afbaf4' 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>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>units :</span></dt><dd>kg kg**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15870960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2747a6a4-49fc-4781-861f-8ce47d9d3e5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2747a6a4-49fc-4781-861f-8ce47d9d3e5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dd56d3b-6f09-44bd-97f7-760d891e2f6c' class='xr-var-data-in' type='checkbox'><label for='data-4dd56d3b-6f09-44bd-97f7-760d891e2f6c' 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>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15870960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-289531f6-ff6e-4086-91dd-148097c5a643' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-289531f6-ff6e-4086-91dd-148097c5a643' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cb0ab3f-27d7-4b60-adc4-39e76ce1067e' class='xr-var-data-in' type='checkbox'><label for='data-4cb0ab3f-27d7-4b60-adc4-39e76ce1067e' 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>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>long_name :</span></dt><dd>U component of wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15870960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65c7e52c-da60-40e2-9af4-adb1e608daa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65c7e52c-da60-40e2-9af4-adb1e608daa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3025d642-d0aa-4db2-a28e-02b7f7201fd4' class='xr-var-data-in' type='checkbox'><label for='data-3025d642-d0aa-4db2-a28e-02b7f7201fd4' 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>standard_name :</span></dt><dd>northward_wind</dd><dt><span>long_name :</span></dt><dd>V component of wind</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15870960 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(time, level, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-934daa58-5231-41ae-80c3-c32f131ab0bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-934daa58-5231-41ae-80c3-c32f131ab0bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71d286ab-7ba2-413b-bb0a-46e1271fcad7' class='xr-var-data-in' type='checkbox'><label for='data-71d286ab-7ba2-413b-bb0a-46e1271fcad7' 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>standard_name :</span></dt><dd>geopotential</dd><dt><span>long_name :</span></dt><dd>Geopotential</dd><dt><span>units :</span></dt><dd>m**2 s**-2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[15870960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-683eb7de-4447-47fe-947f-19305b12965c' class='xr-section-summary-in' type='checkbox' checked><label for='section-683eb7de-4447-47fe-947f-19305b12965c' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.10 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Fri May 13 00:02:43 2022: cdo merge ERA5_Aus_6hourly_2021-03_q.nc ERA5_Aus_6hourly_2021-03_t.nc ERA5_Aus_6hourly_2021-03_u.nc ERA5_Aus_6hourly_2021-03_v.nc ERA5_Aus_6hourly_2021-03_z.nc ERA5_merged_Aus_6hourly_2021-03_3D.nc\n",
"Thu May 12 23:23:50 2022: ncap2 -O -S ./change_dbl_to_float.ncap ./ERA5_Aus_6hourly_2021-03_q.nc ./ERA5_Aus_6hourly_2021-03_q.nc\n",
"Thu May 12 23:23:46 2022: ncap2 -O -s time=time-1 ./ERA5_Aus_6hourly_2021-03_q.nc ./ERA5_Aus_6hourly_2021-03_q.nc\n",
"Thu May 12 23:23:42 2022: ncra -O --mro -d time,361,696,6,6 ./ERA5_Aus_6hourly_2021-03_q.nc ./ERA5_Aus_6hourly_2021-03_q.nc\n",
"Thu May 12 23:23:29 2022: ncks -O --mk_rec_dmn time ./ERA5_Aus_6hourly_2021-03_q.nc ./ERA5_Aus_6hourly_2021-03_q.nc\n",
"Thu May 12 23:22:42 2022: ncks -O -d level,9,,3 -d latitude,-45.,-10. -d longitude,110.,160. /g/data/rt52/era5/pressure-levels/reanalysis/q/2021/q_era5_oper_pl_20210301-20210331.nc ./ERA5_Aus_6hourly_2021-03_q.nc\n",
"2021-07-02 22:45:21 UTC+1000 by era5_replication_tools-1.9.5: mv /g/data/rt52/admin/incoming/era5/pressure-levels/reanalysis/q/2021/q_era5_oper_pl_20210301-20210331.tmp /g/data/rt52/era5/pressure-levels/reanalysis/q/2021/q_era5_oper_pl_20210301-20210331.nc\n",
"2021-07-02 22:25:01 UTC+1000 by era5_replication_tools-1.9.5: nccopy -ctime/1,level/1,latitude/81,longitude/180 -m2G -h2G -k4 -d2 -s /g/data/id28/admin/incoming/era5/pressure-levels/reanalysis/q/2021/q_era5_oper_pl_20210301-20210331.nc /g/data/rt52/admin/incoming/era5/pressure-levels/reanalysis/q/2021/q_era5_oper_pl_20210301-20210331.tmp\n",
"2021-07-02 17:45:19 UTC+1000 by era5_replication_tools-1.9.5: curl --connect-timeout 20 --show-error --silent --max-time 36000 -o /g/data/id28/admin/incoming/era5/pressure-levels/reanalysis/q/2021/q_era5_oper_pl_20210301-20210331.nc https://download-0004.copernicus-climate.eu/cache-compute-0004/cache/data8/adaptor.mars.internal-1625210147.5159817-10842-1-b66cf72b-55f6-457e-b9ab-289387de462f.nc\n",
"2021-07-02 07:31:56 GMT by grib_to_netcdf-2.20.0: /opt/ecmwf/mars-client/bin/grib_to_netcdf -S param -o /cache/data8/adaptor.mars.internal-1625210147.5159817-10842-1-b66cf72b-55f6-457e-b9ab-289387de462f.nc /cache/tmp/b66cf72b-55f6-457e-b9ab-289387de462f-adaptor.mars.internal-1625208890.2945812-10842-1-tmp.grib</dd><dt><span>license :</span></dt><dd>Licence to use Copernicus Products: https://apps.ecmwf.int/datasets/licences/copernicus/</dd><dt><span>summary :</span></dt><dd>ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. This file is part of the ERA5 replica hosted at NCI Australia. For more information please see http://dx.doi.org/10.25914/5f48874388857</dd><dt><span>title :</span></dt><dd>ERA5 pressure-levels oper specific_humidity 20210301-20210331</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 5.0.5 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>var_nm :</span></dt><dd>q</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.10 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (time: 56, longitude: 201, latitude: 141, level: 10)\n",
"Coordinates:\n",
" * time (time) datetime64[ns] 2021-03-16T03:00:00 ... 2021-03-29T21:00:00\n",
" * longitude (longitude) float32 110.0 110.2 110.5 110.8 ... 159.5 159.8 160.0\n",
" * latitude (latitude) float32 -10.0 -10.25 -10.5 ... -44.5 -44.75 -45.0\n",
" * level (level) float64 70.0 150.0 225.0 350.0 ... 850.0 925.0 1e+03\n",
"Data variables:\n",
" q (time, level, latitude, longitude) float32 ...\n",
" t (time, level, latitude, longitude) float32 ...\n",
" u (time, level, latitude, longitude) float32 ...\n",
" v (time, level, latitude, longitude) float32 ...\n",
" z (time, level, latitude, longitude) float32 ...\n",
"Attributes:\n",
" CDI: Climate Data Interface version 1.9.10 (https://mpimet.mpg.d...\n",
" Conventions: CF-1.6\n",
" history: Fri May 13 00:02:43 2022: cdo merge ERA5_Aus_6hourly_2021-0...\n",
" license: Licence to use Copernicus Products: https://apps.ecmwf.int/...\n",
" summary: ERA5 is the fifth generation ECMWF atmospheric reanalysis o...\n",
" title: ERA5 pressure-levels oper specific_humidity 20210301-20210331\n",
" NCO: netCDF Operators version 5.0.5 (Homepage = http://nco.sf.ne...\n",
" var_nm: q\n",
" CDO: Climate Data Operators version 1.9.10 (https://mpimet.mpg.d..."
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ERA5_3D = xr.open_dataset(data_file_3D)\n",
"ERA5_3D"
]
},
{
"cell_type": "markdown",
"id": "b8347c03",
"metadata": {},
"source": [
"Select a single time point (snapshot) for plot. This can be done on an entire dataset. No data is copied, the `_snap` versions are just windows on the original datasets."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "250349bc",
"metadata": {},
"outputs": [],
"source": [
"ERA5_2D_snap = ERA5_2D.sel(time='2021-03-22T03:00:00')\n",
"ERA5_3D_snap = ERA5_3D.sel(time='2021-03-22T03:00:00')"
]
},
{
"cell_type": "markdown",
"id": "a888804a",
"metadata": {},
"source": [
"Plot a single 6-hour average of a few key variables. Make some modified versions of the variables"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "9a9e6a9e",
"metadata": {},
"outputs": [],
"source": [
"olr_snapshot = ERA5_2D_snap['mtnlwrf'] * -1.\n",
"mslp_snapshot = ERA5_2D_snap['msl'] / 100. # convert to hPa"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3d88b504",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1008x576 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Set up plot, projection, add coastlines and gridlines\n",
"fig = plt.figure(figsize=(14,8))\n",
"ax = plt.axes(projection=ccrs.PlateCarree())\n",
"ax.coastlines()\n",
"ax.gridlines(draw_labels=True)\n",
"# Plot the outgoing long-wave radiation as filled contours\n",
"olr_snapshot.plot.contourf(ax=ax, \n",
" cmap='hot', \n",
" levels=range(100,241,20),\n",
" transform=ccrs.PlateCarree())\n",
"# Add mean sea level contours from 980hPa to 1030hPa\n",
"mslp_snapshot.plot.contour(ax=ax, \n",
" colors=['gray'], \n",
" linewidths=3., \n",
" levels=np.arange(980,1030,4), \n",
" transform=ccrs.PlateCarree())\n",
"# Quiver plot of wind: use coarsen to reduce the size by 1/4 in latitude and longitude and use \n",
"# the maximum value from each four points. The quiver plot is special and is a method of a dataset\n",
"# as it requires multiple individual variables.\n",
"ERA5_2D_snap.coarsen(longitude=4, latitude=4, boundary='trim').max().plot.quiver(x='longitude', \n",
" y='latitude', \n",
" ax=ax, \n",
" u='p71.162', \n",
" v='p72.162',\n",
" scale=14000.,\n",
" transform=ccrs.PlateCarree())\n",
"# Plot a line across the region of the major vapour flux\n",
"lon_line = (141, 150)\n",
"lat_line = (-30, -30)\n",
"plt.plot(lon_line,lat_line,color='blue',linewidth=4);"
]
},
{
"cell_type": "markdown",
"id": "c0140ebc",
"metadata": {},
"source": [
"Calculate the vapour flux through the blue line. Use two `.sel` operations, the first uses a `slice` to pull out the range of longitude values (the `*` is an iterable unpacking operator, as `slice` takes a minimum of two arguments and `lon_line` is a tuple), and the second `.sel` uses `method='Nearest'` as it is selecting a single value, and that will only work if that exact value exists in the `latitude` coordinate, so that allows to select for the closest available latitude value."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "7be8ede4",
"metadata": {},
"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 !important;\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'>&lt;xarray.DataArray &#x27;p72.162&#x27; (longitude: 37)&gt;\n",
"array([-319.9227 , -359.9646 , -387.0301 , -413.7336 , -438.17163, -463.96362,\n",
" -488.49548, -515.2392 , -540.76306, -553.954 , -565.6569 , -553.8333 ,\n",
" -538.71204, -521.80786, -499.12595, -471.85938, -443.88235, -420.74463,\n",
" -395.34143, -373.49063, -348.52982, -327.05438, -310.82043, -300.59213,\n",
" -293.56772, -295.72598, -297.9647 , -311.04834, -334.3201 , -352.9938 ,\n",
" -377.01627, -394.92587, -409.9399 , -421.1066 , -427.46075, -414.10898,\n",
" -379.6169 ], dtype=float32)\n",
"Coordinates:\n",
" time datetime64[ns] 2021-03-22T03:00:00\n",
" * longitude (longitude) float32 141.0 141.2 141.5 141.8 ... 149.5 149.8 150.0\n",
" latitude float32 -30.0\n",
"Attributes:\n",
" long_name: Vertical integral of northward water vapour flux\n",
" units: kg m**-1 s**-1\n",
" cell_methods: time: mean</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p72.162'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>longitude</span>: 37</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-41b9cdd9-f7dc-4fa9-ba8e-eb6b5bf31013' class='xr-array-in' type='checkbox' checked><label for='section-41b9cdd9-f7dc-4fa9-ba8e-eb6b5bf31013' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-319.9 -360.0 -387.0 -413.7 -438.2 ... -421.1 -427.5 -414.1 -379.6</span></div><div class='xr-array-data'><pre>array([-319.9227 , -359.9646 , -387.0301 , -413.7336 , -438.17163, -463.96362,\n",
" -488.49548, -515.2392 , -540.76306, -553.954 , -565.6569 , -553.8333 ,\n",
" -538.71204, -521.80786, -499.12595, -471.85938, -443.88235, -420.74463,\n",
" -395.34143, -373.49063, -348.52982, -327.05438, -310.82043, -300.59213,\n",
" -293.56772, -295.72598, -297.9647 , -311.04834, -334.3201 , -352.9938 ,\n",
" -377.01627, -394.92587, -409.9399 , -421.1066 , -427.46075, -414.10898,\n",
" -379.6169 ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ed6bc3a1-4434-48b7-8ff5-027e591d7455' class='xr-section-summary-in' type='checkbox' checked><label for='section-ed6bc3a1-4434-48b7-8ff5-027e591d7455' class='xr-section-summary' >Coordinates: <span>(3)</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>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-03-22T03:00:00</div><input id='attrs-287e413c-e378-42d7-a206-649e6aee1695' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-287e413c-e378-42d7-a206-649e6aee1695' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e684e37f-fd47-4ad0-81ec-215a70a9dc7a' class='xr-var-data-in' type='checkbox'><label for='data-e684e37f-fd47-4ad0-81ec-215a70a9dc7a' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-03-22T03:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>141.0 141.2 141.5 ... 149.8 150.0</div><input id='attrs-fd0b3aa7-592c-4abf-a6dc-f8a4941cbc4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd0b3aa7-592c-4abf-a6dc-f8a4941cbc4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5f1c6f6-c5bd-4149-93e7-07787cb59f67' class='xr-var-data-in' type='checkbox'><label for='data-c5f1c6f6-c5bd-4149-93e7-07787cb59f67' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([141. , 141.25, 141.5 , 141.75, 142. , 142.25, 142.5 , 142.75, 143. ,\n",
" 143.25, 143.5 , 143.75, 144. , 144.25, 144.5 , 144.75, 145. , 145.25,\n",
" 145.5 , 145.75, 146. , 146.25, 146.5 , 146.75, 147. , 147.25, 147.5 ,\n",
" 147.75, 148. , 148.25, 148.5 , 148.75, 149. , 149.25, 149.5 , 149.75,\n",
" 150. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-30.0</div><input id='attrs-8d3b66b0-a95b-45a4-b048-ad6f4843dcf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d3b66b0-a95b-45a4-b048-ad6f4843dcf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86f94806-38fe-44a3-baa6-f2ae5c939101' class='xr-var-data-in' type='checkbox'><label for='data-86f94806-38fe-44a3-baa6-f2ae5c939101' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(-30., dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b492013b-2b99-4642-bc84-88c3f98e8978' class='xr-section-summary-in' type='checkbox' checked><label for='section-b492013b-2b99-4642-bc84-88c3f98e8978' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vertical integral of northward water vapour flux</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'p72.162' (longitude: 37)>\n",
"array([-319.9227 , -359.9646 , -387.0301 , -413.7336 , -438.17163, -463.96362,\n",
" -488.49548, -515.2392 , -540.76306, -553.954 , -565.6569 , -553.8333 ,\n",
" -538.71204, -521.80786, -499.12595, -471.85938, -443.88235, -420.74463,\n",
" -395.34143, -373.49063, -348.52982, -327.05438, -310.82043, -300.59213,\n",
" -293.56772, -295.72598, -297.9647 , -311.04834, -334.3201 , -352.9938 ,\n",
" -377.01627, -394.92587, -409.9399 , -421.1066 , -427.46075, -414.10898,\n",
" -379.6169 ], dtype=float32)\n",
"Coordinates:\n",
" time datetime64[ns] 2021-03-22T03:00:00\n",
" * longitude (longitude) float32 141.0 141.2 141.5 141.8 ... 149.5 149.8 150.0\n",
" latitude float32 -30.0\n",
"Attributes:\n",
" long_name: Vertical integral of northward water vapour flux\n",
" units: kg m**-1 s**-1\n",
" cell_methods: time: mean"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"blue_line = ERA5_2D_snap['p72.162'].sel(longitude=slice(*lon_line)).sel(latitude=-30, method='Nearest')\n",
"blue_line"
]
},
{
"cell_type": "markdown",
"id": "ff9f0ee4",
"metadata": {},
"source": [
"You can see in the `latitude` coordinate above that there is a value that is exactly `-30`, but it is still best to use a `method` when selecting a single value"
]
},
{
"cell_type": "markdown",
"id": "81293e56",
"metadata": {},
"source": [
"Calculate the width of one cell on the blue line using the [cartopy Geodesic class](https://scitools.org.uk/cartopy/docs/v0.18/cartopy/geodesic.html). Note that this returns an array of shape (1,3), and the distance (in metres) is the first element of the first array"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "c5fc67b8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"24121.565278960752"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"L = Geodesic().inverse((blue_line.longitude[0],blue_line.latitude), (blue_line.longitude[1],blue_line.latitude))[0][0]\n",
"L"
]
},
{
"cell_type": "markdown",
"id": "61895c2a",
"metadata": {},
"source": [
"Southward flux of water vapour through blue line in kg/s is the absolute value of the sum of the flux along the line multiplied by the length of each cell (all cells have the same width as the latitude is invariant)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "15ae73f4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"368155036.72689706"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Flux_through_blue_line = abs(L * blue_line.sum())\n",
"Flux_through_blue_line.item()"
]
},
{
"cell_type": "markdown",
"id": "88e515d8",
"metadata": {},
"source": [
"Convert to Amazon river units. The flux of water through the Amazon is $20900*1000\\ \\mathrm{kg s}^{-1}$ [ref](https://en.wikipedia.org/wiki/Amazon_River)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "3f149c02",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"209000000"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Amazon_flux = 209000*1000\n",
"Amazon_flux"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "21c43a9f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.761507352760273"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(Flux_through_blue_line/Amazon_flux).item()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "41b86739",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment