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Getting started with Unified Model output analysis using iris.
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UM-Output-Iris.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analysing UM output with iris"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<div class=\"alert alert-warning\" role=\"alert\"><a href=https://scitools-iris.readthedocs.io/en/latest/userguide/index.html>Please read this guide before proceeding!</a></div>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, import all the necessary libraries."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Python's standard library tools\n",
"import warnings\n",
"from pathlib import Path\n",
"\n",
"# Core scientific packages\n",
"import iris\n",
"\n",
"# Main plotting module\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: 2022-03-20T10:59:05.601624+00:00\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.10.2\n",
"IPython version : 8.1.1\n",
"\n",
"Compiler : GCC 9.4.0\n",
"OS : Linux\n",
"Release : 5.4.0-104-generic\n",
"Machine : x86_64\n",
"Processor : x86_64\n",
"CPU cores : 8\n",
"Architecture: 64bit\n",
"\n",
"matplotlib: 3.5.1\n",
"iris : 3.2.1\n",
"numpy : 1.22.3\n",
"\n"
]
}
],
"source": [
"%load_ext watermark\n",
"\n",
"%watermark\n",
"%watermark -iv"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Switch off warnings for now..."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define an input directory. (Change it according to your preference and where you saved the sample file.)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"input_dir = Path.home() / \"exoplanets\" / \"modelling\" / \"um\" / \"results\" / \"sa\" / \"trap1e_sample\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Open the file using `iris` by specifying a path to the file on the disk (by concatenating directory and file name).\n",
"\n",
"Note the that the file does not really have a file extension in its name. In the context of UM output, this usually means the file is in [PP format](https://scitools.org.uk/iris/docs/latest/iris/iris/fileformats/pp.html).\n",
"More commonly used format in GCM output is [netCDF](https://www.unidata.ucar.edu/software/netcdf/) (which `iris` can read too), but by default UM reads and writes data in PP format."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"dset = iris.load(input_dir / \"um_sample_output_t1e.pa0000001500_00\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"`1500_00` at the end corresponds to 1500 days of model simulation."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's look what's inside of this dataset."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0: cloud_area_fraction_assuming_maximum_random_overlap / (1) (latitude: 90; longitude: 144)\n",
"1: air_potential_temperature / (K) (model_level_number: 39; latitude: 90; longitude: 144)\n",
"2: air_pressure / (Pa) (model_level_number: 39; latitude: 90; longitude: 144)\n",
"3: mass_fraction_of_cloud_ice_in_air / (kg kg-1) (model_level_number: 39; latitude: 90; longitude: 144)\n",
"4: mass_fraction_of_cloud_liquid_water_in_air / (kg kg-1) (model_level_number: 39; latitude: 90; longitude: 144)\n",
"5: precipitation_flux / (kg m-2 s-1) (latitude: 90; longitude: 144)\n",
"6: specific_humidity / (kg kg-1) (model_level_number: 39; latitude: 90; longitude: 144)\n",
"7: surface_air_pressure / (Pa) (latitude: 90; longitude: 144)\n",
"8: surface_temperature / (K) (latitude: 90; longitude: 144)\n",
"9: surface_upward_latent_heat_flux / (W m-2) (latitude: 90; longitude: 144)\n",
"10: surface_upward_sensible_heat_flux / (W m-2) (latitude: 90; longitude: 144)\n",
"11: toa_incoming_shortwave_flux / (W m-2) (latitude: 90; longitude: 144)\n",
"12: toa_outgoing_longwave_flux / (W m-2) (latitude: 90; longitude: 144)\n",
"13: toa_outgoing_longwave_flux_assuming_clear_sky / (W m-2) (latitude: 90; longitude: 144)\n",
"14: toa_outgoing_shortwave_flux / (W m-2) (latitude: 90; longitude: 144)\n",
"15: toa_outgoing_shortwave_flux_assuming_clear_sky / (W m-2) (latitude: 90; longitude: 144)\n",
"16: upward_air_velocity / (m s-1) (model_level_number: 39; latitude: 90; longitude: 144)\n",
"17: x_wind / (m s-1) (model_level_number: 38; latitude: 90; longitude: 144)\n",
"18: y_wind / (m s-1) (model_level_number: 38; latitude: 91; longitude: 144)\n"
]
}
],
"source": [
"print(dset)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you can see, it contains 19 atmospheric fields. These are some of what you'd output quite often, but there are hundreds of more diagnostics available."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"These fields are either 3D or 2D, i.e. have dimensions of (`model_level_number`, `latitude`, `longitude`), corresponding to (Z, Y, X) axes, or just (`latitude`, `longitude`). For the sake of simplicity, the data does not have a time dimension, because it's just one slice of monthly averaged data (at the end of 1500 days)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Selecting a field within the dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There are several ways to \"extract\" particular field from the dataset. \"Human-readable\" way is to select by name, e.g.:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"t_sfc = dset.extract_cube(\"surface_temperature\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" a.iris {\n",
" text-decoration: none !important;\n",
" }\n",
" table.iris {\n",
" white-space: pre;\n",
" border: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-family: monaco, monospace;\n",
" }\n",
" th.iris {\n",
" background: #303f3f;\n",
" color: #e0e0e0;\n",
" border-left: 1px solid;\n",
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" min-width: 50px;\n",
" max-width: 125px;\n",
" }\n",
" tr.iris :first-child {\n",
" border-right: 1px solid #9c9c9c !important;\n",
" }\n",
" td.iris-title {\n",
" background: #d5dcdf;\n",
" border-top: 1px solid #9c9c9c;\n",
" font-weight: bold;\n",
" }\n",
" .iris-word-cell {\n",
" text-align: left !important;\n",
" white-space: pre;\n",
" }\n",
" .iris-subheading-cell {\n",
" padding-left: 2em !important;\n",
" }\n",
" .iris-inclusion-cell {\n",
" padding-right: 1em !important;\n",
" }\n",
" .iris-panel-body {\n",
" padding-top: 0px;\n",
" }\n",
" .iris-panel-title {\n",
" padding-left: 3em;\n",
" }\n",
" .iris-panel-title {\n",
" margin-top: 7px;\n",
" }\n",
"</style>\n",
"<table class=\"iris\" id=\"140545385578016\">\n",
" <tr class=\"iris\">\n",
"<th class=\"iris iris-word-cell\">Surface Temperature (K)</th>\n",
"<th class=\"iris iris-word-cell\">latitude</th>\n",
"<th class=\"iris iris-word-cell\">longitude</th>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
"<td class=\"iris-word-cell iris-subheading-cell\">Shape</td>\n",
"<td class=\"iris iris-inclusion-cell\">90</td>\n",
"<td class=\"iris iris-inclusion-cell\">144</td>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Dimension coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlatitude</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
" <td class=\"iris-inclusion-cell\">-</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlongitude</td>\n",
" <td class=\"iris-inclusion-cell\">-</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Scalar coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"><br>forecast_period 36360.0 hours, bound=(36000.0, 36720.0) hours</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tforecast_reference_time 2004-05-13 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"2\">0:00</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\ttime 2008-07-06 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"2\">0:00, bound=(2008-06-21 09:00:00, 2008-07-21 09:00:00)</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Cell methods</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tmean time (1 hour)</td>\n",
" <td class=\"iris-word-cell\" colspan=\"2\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Attributes</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"><br>STASH m01s00i024<br>source &#x27;Data from Met Office Unified Model&#x27;<br>um_version &#x27;11.3&#x27;</td>\n",
"</tr>\n",
"</table>\n",
" "
],
"text/plain": [
"<iris 'Cube' of surface_temperature / (K) (latitude: 90; longitude: 144)>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that UM output fields have STASH IDs (which you will see in the model configuration window). You can use them to select fields too:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" a.iris {\n",
" text-decoration: none !important;\n",
" }\n",
" table.iris {\n",
" white-space: pre;\n",
" border: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-family: monaco, monospace;\n",
" }\n",
" th.iris {\n",
" background: #303f3f;\n",
" color: #e0e0e0;\n",
" border-left: 1px solid;\n",
" border-color: #9c9c9c;\n",
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" tr.iris :first-child {\n",
" border-right: 1px solid #9c9c9c !important;\n",
" }\n",
" td.iris-title {\n",
" background: #d5dcdf;\n",
" border-top: 1px solid #9c9c9c;\n",
" font-weight: bold;\n",
" }\n",
" .iris-word-cell {\n",
" text-align: left !important;\n",
" white-space: pre;\n",
" }\n",
" .iris-subheading-cell {\n",
" padding-left: 2em !important;\n",
" }\n",
" .iris-inclusion-cell {\n",
" padding-right: 1em !important;\n",
" }\n",
" .iris-panel-body {\n",
" padding-top: 0px;\n",
" }\n",
" .iris-panel-title {\n",
" padding-left: 3em;\n",
" }\n",
" .iris-panel-title {\n",
" margin-top: 7px;\n",
" }\n",
"</style>\n",
"<table class=\"iris\" id=\"140545385578016\">\n",
" <tr class=\"iris\">\n",
"<th class=\"iris iris-word-cell\">Surface Temperature (K)</th>\n",
"<th class=\"iris iris-word-cell\">latitude</th>\n",
"<th class=\"iris iris-word-cell\">longitude</th>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
"<td class=\"iris-word-cell iris-subheading-cell\">Shape</td>\n",
"<td class=\"iris iris-inclusion-cell\">90</td>\n",
"<td class=\"iris iris-inclusion-cell\">144</td>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Dimension coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlatitude</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
" <td class=\"iris-inclusion-cell\">-</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlongitude</td>\n",
" <td class=\"iris-inclusion-cell\">-</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Scalar coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"><br>forecast_period 36360.0 hours, bound=(36000.0, 36720.0) hours</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tforecast_reference_time 2004-05-13 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"2\">0:00</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\ttime 2008-07-06 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"2\">0:00, bound=(2008-06-21 09:00:00, 2008-07-21 09:00:00)</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Cell methods</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tmean time (1 hour)</td>\n",
" <td class=\"iris-word-cell\" colspan=\"2\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Attributes</td>\n",
" <td class=\"iris-title\"></td>\n",
" <td class=\"iris-title\"><br>STASH m01s00i024<br>source &#x27;Data from Met Office Unified Model&#x27;<br>um_version &#x27;11.3&#x27;</td>\n",
"</tr>\n",
"</table>\n",
" "
],
"text/plain": [
"<iris 'Cube' of surface_temperature / (K) (latitude: 90; longitude: 144)>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc_by_stash = dset.extract_cube(iris.AttributeConstraint(STASH=\"m01s00i024\"))\n",
"t_sfc_by_stash"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc == t_sfc_by_stash"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can see that this is the same field."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Dataset units: cubes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Units of data in `iris` library are \"cubes\", which are essentially numerical arrays of data with coordinates and metadata."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"iris.cube.Cube"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(t_sfc)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Within iris cubes, \"lazy\" data is provided as a `dask` array."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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"dask.array<array, shape=(90, 144), dtype=float32, chunksize=(90, 144), chunktype=numpy.ndarray>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.core_data()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dask.array.core.Array"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(t_sfc.core_data())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This can be \"realised\", i.e. loaded in memory as a `numpy` array and become \"real\" data (the operation is irreversible). Real data is provided via the `data` attribute."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[210.4313 , 210.4534 , 210.47389, ..., 210.34656, 210.3765 ,\n",
" 210.40388],\n",
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" [221.42699, 221.49016, 221.52428, ..., 221.10161, 221.24442,\n",
" 221.35072],\n",
" ...,\n",
" [218.9919 , 219.07765, 219.12837, ..., 218.57411, 218.73108,\n",
" 218.87706],\n",
" [212.73425, 212.78899, 212.83655, ..., 212.43326, 212.5487 ,\n",
" 212.65213],\n",
" [206.89319, 206.92245, 206.95358, ..., 206.79376, 206.82826,\n",
" 206.86208]], dtype=float32)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<div class=\"alert alert-warning\" role=\"alert\"><a href=https://scitools-iris.readthedocs.io/en/stable/userguide/real_and_lazy_data.html>Important guide on real and lazy data in iris</a></div>\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"numpy.ndarray"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(t_sfc.data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Coordinates"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The power of using `iris` as opposed to plain `numpy`, is that each data field has coordinates that can and should be used instead of plain array indices to perform analysis."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<DimCoord: longitude / (degrees) [ 1.25, 3.75, ..., 356.25, 358.75] shape(144,)>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.coord(\"longitude\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<DimCoord: latitude / (degrees) [-89., -87., ..., 87., 89.] shape(90,)>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.coord(\"latitude\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69.,\n",
" -67., -65., -63., -61., -59., -57., -55., -53., -51., -49., -47.,\n",
" -45., -43., -41., -39., -37., -35., -33., -31., -29., -27., -25.,\n",
" -23., -21., -19., -17., -15., -13., -11., -9., -7., -5., -3.,\n",
" -1., 1., 3., 5., 7., 9., 11., 13., 15., 17., 19.,\n",
" 21., 23., 25., 27., 29., 31., 33., 35., 37., 39., 41.,\n",
" 43., 45., 47., 49., 51., 53., 55., 57., 59., 61., 63.,\n",
" 65., 67., 69., 71., 73., 75., 77., 79., 81., 83., 85.,\n",
" 87., 89.], dtype=float32)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.coord(\"latitude\").points"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Thus we can select a particular slice by its latitude:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" a.iris {\n",
" text-decoration: none !important;\n",
" }\n",
" table.iris {\n",
" white-space: pre;\n",
" border: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-family: monaco, monospace;\n",
" }\n",
" th.iris {\n",
" background: #303f3f;\n",
" color: #e0e0e0;\n",
" border-left: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-size: 1.05em;\n",
" min-width: 50px;\n",
" max-width: 125px;\n",
" }\n",
" tr.iris :first-child {\n",
" border-right: 1px solid #9c9c9c !important;\n",
" }\n",
" td.iris-title {\n",
" background: #d5dcdf;\n",
" border-top: 1px solid #9c9c9c;\n",
" font-weight: bold;\n",
" }\n",
" .iris-word-cell {\n",
" text-align: left !important;\n",
" white-space: pre;\n",
" }\n",
" .iris-subheading-cell {\n",
" padding-left: 2em !important;\n",
" }\n",
" .iris-inclusion-cell {\n",
" padding-right: 1em !important;\n",
" }\n",
" .iris-panel-body {\n",
" padding-top: 0px;\n",
" }\n",
" .iris-panel-title {\n",
" padding-left: 3em;\n",
" }\n",
" .iris-panel-title {\n",
" margin-top: 7px;\n",
" }\n",
"</style>\n",
"<table class=\"iris\" id=\"140545495360624\">\n",
" <tr class=\"iris\">\n",
"<th class=\"iris iris-word-cell\">Surface Temperature (K)</th>\n",
"<th class=\"iris iris-word-cell\">longitude</th>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
"<td class=\"iris-word-cell iris-subheading-cell\">Shape</td>\n",
"<td class=\"iris iris-inclusion-cell\">144</td>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Dimension coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlongitude</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Scalar coordinates</td>\n",
" <td class=\"iris-title\"><br>forecast_period 36360.0 hours, bound=(36000.0, 36720.0) hours</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tforecast_reference_time 2004-05-13 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00<br>latitude -77.0 degrees</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\ttime 2008-07-06 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00, bound=(2008-06-21 09:00:00, 2008-07-21 09:00:00)</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Cell methods</td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tmean time (1 hour)</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Attributes</td>\n",
" <td class=\"iris-title\"><br>STASH m01s00i024<br>source &#x27;Data from Met Office Unified Model&#x27;<br>um_version &#x27;11.3&#x27;</td>\n",
"</tr>\n",
"</table>\n",
" "
],
"text/plain": [
"<iris 'Cube' of surface_temperature / (K) (longitude: 144)>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.extract(iris.Constraint(latitude=-77))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This can also be achieved using `numpy`-style indexing:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" a.iris {\n",
" text-decoration: none !important;\n",
" }\n",
" table.iris {\n",
" white-space: pre;\n",
" border: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-family: monaco, monospace;\n",
" }\n",
" th.iris {\n",
" background: #303f3f;\n",
" color: #e0e0e0;\n",
" border-left: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-size: 1.05em;\n",
" min-width: 50px;\n",
" max-width: 125px;\n",
" }\n",
" tr.iris :first-child {\n",
" border-right: 1px solid #9c9c9c !important;\n",
" }\n",
" td.iris-title {\n",
" background: #d5dcdf;\n",
" border-top: 1px solid #9c9c9c;\n",
" font-weight: bold;\n",
" }\n",
" .iris-word-cell {\n",
" text-align: left !important;\n",
" white-space: pre;\n",
" }\n",
" .iris-subheading-cell {\n",
" padding-left: 2em !important;\n",
" }\n",
" .iris-inclusion-cell {\n",
" padding-right: 1em !important;\n",
" }\n",
" .iris-panel-body {\n",
" padding-top: 0px;\n",
" }\n",
" .iris-panel-title {\n",
" padding-left: 3em;\n",
" }\n",
" .iris-panel-title {\n",
" margin-top: 7px;\n",
" }\n",
"</style>\n",
"<table class=\"iris\" id=\"140545495366672\">\n",
" <tr class=\"iris\">\n",
"<th class=\"iris iris-word-cell\">Surface Temperature (K)</th>\n",
"<th class=\"iris iris-word-cell\">longitude</th>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
"<td class=\"iris-word-cell iris-subheading-cell\">Shape</td>\n",
"<td class=\"iris iris-inclusion-cell\">144</td>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Dimension coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlongitude</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Scalar coordinates</td>\n",
" <td class=\"iris-title\"><br>forecast_period 36360.0 hours, bound=(36000.0, 36720.0) hours</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tforecast_reference_time 2004-05-13 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00<br>latitude -77.0 degrees</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\ttime 2008-07-06 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00, bound=(2008-06-21 09:00:00, 2008-07-21 09:00:00)</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Cell methods</td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tmean time (1 hour)</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Attributes</td>\n",
" <td class=\"iris-title\"><br>STASH m01s00i024<br>source &#x27;Data from Met Office Unified Model&#x27;<br>um_version &#x27;11.3&#x27;</td>\n",
"</tr>\n",
"</table>\n",
" "
],
"text/plain": [
"<iris 'Cube' of surface_temperature / (K) (longitude: 144)>"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc[6, :]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Metadata"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Another extremely useful propery of `iris` cubes is metadata, such as names, units, and other attributes."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'surface_temperature'"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.name()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Unit('K')"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.units"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'source': 'Data from Met Office Unified Model',\n",
" 'um_version': '11.3',\n",
" 'STASH': STASH(model=1, section=0, item=24)}"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc.attributes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that when you perform operations on `iris` cubes, units are transformed accordingly.\n",
"\n",
"For example, let's use the surface temperature to calculate the black-body radiation flux following the Stefan–Boltzmann law."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"sb_const = iris.cube.Cube(data=5.670367e-8, units=\"W m-2 K-4\", long_name=\"stefan_boltzmann\")"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"lw_rad_sfc = sb_const * t_sfc**4"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Unit('kg.s-3')"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lw_rad_sfc.units"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can see that the units of the resulting array changed accordingly. ($kg s^{-3} = W m^{-2}$)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot a map of surface temperature"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's use `matplotlib` to plot the values of `t_sfc`. Note `iris` also have tools to quickly create plots of cubes, but those tools use `matplotlib` behind the scenes too. See [here](https://scitools.org.uk/iris/docs/latest/userguide/plotting_a_cube.html) for more details."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"lons = t_sfc.coord(\"longitude\").points\n",
"lats = t_sfc.coord(\"latitude\").points\n",
"\n",
"# this shortcut can also be used:\n",
"#\n",
"# lons, lats = iris.analysis.cartography.get_xy_grids(t_sfc)\n",
"#\n",
"# Note, however, that this is equivalent to\n",
"#\n",
"# lons = t_sfc.coord(\"longitude\").points\n",
"# lats = t_sfc.coord(\"latitude\").points\n",
"# lons, lats = np.meshgrid(lons, lats)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Meanwhile, we can also calculate some useful info, such as the time stamp of this field:"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"ndays = t_sfc.coord(\"forecast_period\").points[0] / 24"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"cntr = ax.contourf(lons, lats, t_sfc.data)\n",
"\n",
"cb = fig.colorbar(cntr)\n",
"cb.ax.set_title(f\"[{t_sfc.units}]\")\n",
"\n",
"ax.set_xlabel(\"Longitude [$\\degree$]\")\n",
"ax.set_ylabel(\"Latitude [$\\degree$]\")\n",
"\n",
"ax.set_title(\n",
" f\"{t_sfc.name().capitalize().replace('_', ' ')} after {ndays:.0f} days \",\n",
" loc=\"left\",\n",
");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Evidently, the substellar point is at 0 degrees longitude."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Calculate zonal and meridional means and plot them"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, create functions to perform the averaging with correct weights."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"# Source: https://exoclim.github.io/aeolus/latest/html/api/calc.html#aeolus.calc.meridional_mean\n",
"\n",
"\n",
"def zonal_mean(cube, lon_name=\"longitude\"):\n",
" \"\"\"\n",
" Calculate cube's zonal average.\n",
" Parameters\n",
" ----------\n",
" cube: iris.cube.Cube\n",
" Cube with a latitude coordinate.\n",
" lon_name: str, optional\n",
" Name of the longitude coordinate.\n",
" Returns\n",
" -------\n",
" iris.cube.Cube\n",
" Collapsed cube.\n",
" \"\"\"\n",
" cube_mean = cube.collapsed(lon_name, iris.analysis.MEAN)\n",
" return cube_mean\n",
"\n",
"\n",
"def meridional_mean(cube, lat_name=\"latitude\"):\n",
" \"\"\"\n",
" Calculate cube's meridional average.\n",
" Parameters\n",
" ----------\n",
" cube: iris.cube.Cube\n",
" Cube with a latitude coordinate.\n",
" lat_name: str, optional\n",
" Name of the latitude coordinate.\n",
" Returns\n",
" -------\n",
" iris.cube.Cube\n",
" Collapsed cube.\n",
" \"\"\"\n",
" coslat = np.cos(np.deg2rad(cube.coord(lat_name).points))\n",
" coslat2d = iris.util.broadcast_to_shape(coslat, cube.shape, cube.coord_dims(lat_name))\n",
" cube_mean = (cube * coslat2d).collapsed(lat_name, iris.analysis.SUM) / np.sum(coslat)\n",
" return cube_mean"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Do the calculations."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" a.iris {\n",
" text-decoration: none !important;\n",
" }\n",
" table.iris {\n",
" white-space: pre;\n",
" border: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-family: monaco, monospace;\n",
" }\n",
" th.iris {\n",
" background: #303f3f;\n",
" color: #e0e0e0;\n",
" border-left: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-size: 1.05em;\n",
" min-width: 50px;\n",
" max-width: 125px;\n",
" }\n",
" tr.iris :first-child {\n",
" border-right: 1px solid #9c9c9c !important;\n",
" }\n",
" td.iris-title {\n",
" background: #d5dcdf;\n",
" border-top: 1px solid #9c9c9c;\n",
" font-weight: bold;\n",
" }\n",
" .iris-word-cell {\n",
" text-align: left !important;\n",
" white-space: pre;\n",
" }\n",
" .iris-subheading-cell {\n",
" padding-left: 2em !important;\n",
" }\n",
" .iris-inclusion-cell {\n",
" padding-right: 1em !important;\n",
" }\n",
" .iris-panel-body {\n",
" padding-top: 0px;\n",
" }\n",
" .iris-panel-title {\n",
" padding-left: 3em;\n",
" }\n",
" .iris-panel-title {\n",
" margin-top: 7px;\n",
" }\n",
"</style>\n",
"<table class=\"iris\" id=\"140545387216272\">\n",
" <tr class=\"iris\">\n",
"<th class=\"iris iris-word-cell\">Surface Temperature (K)</th>\n",
"<th class=\"iris iris-word-cell\">latitude</th>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
"<td class=\"iris-word-cell iris-subheading-cell\">Shape</td>\n",
"<td class=\"iris iris-inclusion-cell\">90</td>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Dimension coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlatitude</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Scalar coordinates</td>\n",
" <td class=\"iris-title\"><br>forecast_period 36360.0 hours, bound=(36000.0, 36720.0) hours</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tforecast_reference_time 2004-05-13 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00<br>longitude 181.25 degrees, bound=(1.25, 361.25) degrees</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\ttime 2008-07-06 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00, bound=(2008-06-21 09:00:00, 2008-07-21 09:00:00)</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Cell methods</td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tmean time (1 hour)</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tmean longitude</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Attributes</td>\n",
" <td class=\"iris-title\"><br>STASH m01s00i024<br>source &#x27;Data from Met Office Unified Model&#x27;<br>um_version &#x27;11.3&#x27;</td>\n",
"</tr>\n",
"</table>\n",
" "
],
"text/plain": [
"<iris 'Cube' of surface_temperature / (K) (latitude: 90)>"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc_z_ave = zonal_mean(t_sfc)\n",
"t_sfc_z_ave"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" a.iris {\n",
" text-decoration: none !important;\n",
" }\n",
" table.iris {\n",
" white-space: pre;\n",
" border: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-family: monaco, monospace;\n",
" }\n",
" th.iris {\n",
" background: #303f3f;\n",
" color: #e0e0e0;\n",
" border-left: 1px solid;\n",
" border-color: #9c9c9c;\n",
" font-size: 1.05em;\n",
" min-width: 50px;\n",
" max-width: 125px;\n",
" }\n",
" tr.iris :first-child {\n",
" border-right: 1px solid #9c9c9c !important;\n",
" }\n",
" td.iris-title {\n",
" background: #d5dcdf;\n",
" border-top: 1px solid #9c9c9c;\n",
" font-weight: bold;\n",
" }\n",
" .iris-word-cell {\n",
" text-align: left !important;\n",
" white-space: pre;\n",
" }\n",
" .iris-subheading-cell {\n",
" padding-left: 2em !important;\n",
" }\n",
" .iris-inclusion-cell {\n",
" padding-right: 1em !important;\n",
" }\n",
" .iris-panel-body {\n",
" padding-top: 0px;\n",
" }\n",
" .iris-panel-title {\n",
" padding-left: 3em;\n",
" }\n",
" .iris-panel-title {\n",
" margin-top: 7px;\n",
" }\n",
"</style>\n",
"<table class=\"iris\" id=\"140545388650768\">\n",
" <tr class=\"iris\">\n",
"<th class=\"iris iris-word-cell\">Unknown (K)</th>\n",
"<th class=\"iris iris-word-cell\">longitude</th>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
"<td class=\"iris-word-cell iris-subheading-cell\">Shape</td>\n",
"<td class=\"iris iris-inclusion-cell\">144</td>\n",
"</tr>\n",
" <tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Dimension coordinates</td>\n",
" <td class=\"iris-title\"></td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tlongitude</td>\n",
" <td class=\"iris-inclusion-cell\">x</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Scalar coordinates</td>\n",
" <td class=\"iris-title\"><br>forecast_period 36360.0 hours, bound=(36000.0, 36720.0) hours</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\tforecast_reference_time 2004-05-13 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00<br>latitude 0.0 degrees, bound=(-89.0, 89.0) degrees</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-word-cell iris-subheading-cell\">\ttime 2008-07-06 09</td>\n",
" <td class=\"iris-word-cell\" colspan=\"1\">0:00, bound=(2008-06-21 09:00:00, 2008-07-21 09:00:00)</td>\n",
"</tr>\n",
"<tr class=\"iris\">\n",
" <td class=\"iris-title iris-word-cell\">Attributes</td>\n",
" <td class=\"iris-title\"><br>source &#x27;Data from Met Office Unified Model&#x27;<br>um_version &#x27;11.3&#x27;</td>\n",
"</tr>\n",
"</table>\n",
" "
],
"text/plain": [
"<iris 'Cube' of unknown / (K) (longitude: 144)>"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t_sfc_m_ave = meridional_mean(t_sfc)\n",
"t_sfc_m_ave"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note the reduced dimensionality of both cubes."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot the results"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x432 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axs = plt.subplots(ncols=2, figsize=(16, 6))\n",
"\n",
"ax = axs[0]\n",
"ax.plot(lons, t_sfc_m_ave.data)\n",
"ax.set_title(f\"Meridional average of {t_sfc.name()}\")\n",
"ax.set_xlabel(\"Longitude [$\\degree$]\")\n",
"\n",
"ax = axs[1]\n",
"ax.plot(lats, t_sfc_z_ave.data)\n",
"ax.set_title(f\"Zonal average of {t_sfc.name()}\")\n",
"ax.set_xlabel(\"Latitude [$\\degree$]\")\n",
"\n",
"for ax in axs:\n",
" ax.set_ylabel(f\"Surface temperature [{t_sfc.units}]\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3D fields"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, let's have a brief look at the vertical dimension in the sample dataset. For example, let's extract a cube of pressure."
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"pres = dset.extract_cube(\"air_pressure\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By default, `iris` will assign `model_level_number` as the dimensional coordinate of the vertical axis. This coordinate is just indices of model levels:"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,\n",
" 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,\n",
" 34, 35, 36, 37, 38], dtype=int32)"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pres.coord(\"model_level_number\").points"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There are other vertical coordinates that are more useful."
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<DimCoord: model_level_number / (1) [ 0, 1, ..., 37, 38] shape(39,)>,\n",
" <AuxCoord: level_height / (m) [0., ...]+bounds shape(39,)>]"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pres.coords(axis=\"z\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A useful one is `level_height`, the altitude of model levels."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"hgt = pres.coord(\"level_height\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, we can create a vertical profile of the air pressure at the substellar point."
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"pres_ss_point = pres.interpolate([(\"latitude\", 0), (\"longitude\", 0)], iris.analysis.Linear())"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pres_ss_point.ndim"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"ax.plot(pres_ss_point.data, hgt.points, color=\"C1\", linewidth=2, marker=\"s\", mfc=\"k\")\n",
"ax.set_xlabel(\"Zonal wind [m/s]\")\n",
"ax.set_ylabel(\"Height [m]\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot wind vectors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To plot the horizontal wind field, we can use the eastward and northward wind components. Let's extract them from the `dset` CubeList."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"u = dset.extract_cube(\"x_wind\")\n",
"v = dset.extract_cube(\"y_wind\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that the UM uses a staggered grid in the horizontal, meaning that different fields are defined in different locations.\n",
"\n",
"![](https://upload.wikimedia.org/wikipedia/commons/8/8a/Discretization_for_the_different_Arakawa_grids_correct.svg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Namely, the UM uses the Arakawa C grid, so longitudes and latitudes for scalars and wind components are different."
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x_wind\n",
"First 3 longitude points: [0. 2.5 5. 7.5]\n",
"First 3 latitude points: [-89. -87. -85. -83.]\n",
"\n",
"y_wind\n",
"First 3 longitude points: [1.25 3.75 6.25 8.75]\n",
"First 3 latitude points: [-90. -88. -86. -84.]\n",
"\n",
"surface_temperature\n",
"First 3 longitude points: [1.25 3.75 6.25 8.75]\n",
"First 3 latitude points: [-89. -87. -85. -83.]\n",
"\n"
]
}
],
"source": [
"for cube in [u, v, t_sfc]:\n",
" print(cube.name())\n",
" print(f\"First 3 longitude points: {cube.coord('longitude').points[:4]}\")\n",
" print(f\"First 3 latitude points: {cube.coord('latitude').points[:4]}\")\n",
" print()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Because the v-wind component is defined at the poles, while the u-wind component is not, their data arrays have different shape in the latitudinal dimension:"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((38, 90, 144), (38, 91, 144))"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"u.shape, v.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To plot them, we need to interpolate one array to the locations of the other. The \"quick and dirty\" method to do it is to use bi-linear interpolation provided by `iris`:"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"v = v.regrid(u, iris.analysis.Linear())"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((38, 90, 144), (38, 90, 144))"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"u.shape, v.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can use these cubes to make a wind vector plot. First, we extract the coordinate arrays for convenience."
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"lons = u.coord(\"longitude\").points\n",
"lats = u.coord(\"latitude\").points"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we select a slice of the wind field to plot. For example, we can extract winds at a particular height level."
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"u2d = u.extract(iris.Constraint(level_height=8000))\n",
"v2d = v.extract(iris.Constraint(level_height=8000))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Even though 8000 precisely is not among the `level_height` coordinate values, `iris` uses the `bounds` attribute to select the level closest to 8000 m."
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"DimCoord : level_height / (m)\n",
" points: [8141.1616]\n",
" bounds: [[7744.271, 8538.057]]\n",
" shape: (1,) bounds(1, 2)\n",
" dtype: float32\n",
" long_name: 'level_height'\n",
" attributes:\n",
" positive 'up'\n"
]
}
],
"source": [
"print(u2d.coord(\"level_height\"))"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.quiver.Quiver at 0x7fd34c5df130>"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"ax.quiver(lons, lats, u2d.data, v2d.data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is not a nice looking plot. To make it look better, we can show every n-th vector instead."
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.quiver.Quiver at 0x7fd345ff14e0>"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"lon_slice = slice(None, None, 4) # every 4th point in longitude\n",
"lat_slice = slice(None, None, 5) # every 5th point in longitude\n",
"\n",
"ax.quiver(\n",
" lons[lon_slice], lats[lat_slice], u2d.data[lat_slice, lon_slice], v2d.data[lat_slice, lon_slice]\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is equivalent to using the following notation:"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.quiver.Quiver at 0x7fd34c562560>"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"ax.quiver(lons[::4], lats[::5], u2d.data[::5, ::4], v2d.data[::5, ::4])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, we can colour wind vectors according to their magnitude."
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"unknown / (m.s-1) (latitude: 90; longitude: 144)\n",
" Dimension coordinates:\n",
" latitude x -\n",
" longitude - x\n",
" Scalar coordinates:\n",
" forecast_period 36360.0 hours, bound=(36000.0, 36720.0) hours\n",
" forecast_reference_time 2004-05-13 09:00:00\n",
" level_height 8141.1616 m, bound=(7744.271, 8538.057) m\n",
" model_level_number 21\n",
" sigma 0.27000487, bound=(0.2948914, 0.24621508)\n",
" time 2008-07-06 09:00:00, bound=(2008-06-21 09:00:00, 2008-07-21 09:00:00)\n",
" Attributes:\n",
" source 'Data from Met Office Unified Model'\n",
" um_version '11.3'\n"
]
}
],
"source": [
"wspd = (u2d**2 + v2d**2) ** 0.5\n",
"print(wspd)"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots()\n",
"\n",
"lon_slice = slice(None, None, 4) # every 4th point in longitude\n",
"lat_slice = slice(None, None, 5) # every 5th point in longitude\n",
"\n",
"quiv = ax.quiver(\n",
" lons[lon_slice],\n",
" lats[lat_slice],\n",
" u2d.data[lat_slice, lon_slice],\n",
" v2d.data[lat_slice, lon_slice],\n",
" wspd.data[lat_slice, lon_slice],\n",
" cmap=\"magma_r\",\n",
")\n",
"cb = fig.colorbar(quiv)\n",
"cb.ax.set_ylabel(f\"[{wspd.units}]\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"More information and examples of using quiver can be found on `matplotlib`'s website."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Vertical slice of wind vectors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can also use `quiver` to plot a vertical cross-section of the wind field."
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"u = dset.extract_cube(\"x_wind\")\n",
"w = dset.extract_cube(\"upward_air_velocity\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note again, these fields are staggered in longitude and height."
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x_wind\n",
"First 3 longitude points: [0. 2.5 5. 7.5]\n",
"First 3 latitude points: [-89. -87. -85. -83.]\n",
"First 3 height points: [ 9.6786 48.4006 125.8446 242.0068]\n",
"\n",
"upward_air_velocity\n",
"First 3 longitude points: [1.25 3.75 6.25 8.75]\n",
"First 3 latitude points: [-89. -87. -85. -83.]\n",
"First 3 height points: [ 0. 19.361 77.444 174.2452]\n",
"\n"
]
}
],
"source": [
"for cube in [u, w]:\n",
" print(cube.name())\n",
" print(f\"First 3 longitude points: {cube.coord('longitude').points[:4]}\")\n",
" print(f\"First 3 latitude points: {cube.coord('latitude').points[:4]}\")\n",
" print(f\"First 3 height points: {cube.coord('level_height').points[:4]}\")\n",
" print()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's slice both fields at a near-equatorial latitude and then interpolate the 2D fields to common points."
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
"u2d = u.extract(iris.Constraint(latitude=1.0))\n",
"w2d = w.extract(iris.Constraint(latitude=1.0))\n",
"w2d = w2d.interpolate(\n",
" [\n",
" (\"level_height\", u2d.coord(\"level_height\").points),\n",
" (\"longitude\", u2d.coord(\"longitude\").points),\n",
" ],\n",
" iris.analysis.Linear(),\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"x_wind\n",
"First 3 longitude points: [0. 2.5 5. 7.5]\n",
"First 3 height points: [ 9.6786 48.4006 125.8446 242.0068]\n",
"\n",
"upward_air_velocity\n",
"First 3 longitude points: [0. 2.5 5. 7.5]\n",
"First 3 height points: [ 9.6786 48.4006 125.8446 242.0068]\n",
"\n"
]
}
],
"source": [
"for cube in [u2d, w2d]:\n",
" print(cube.name())\n",
" print(f\"First 3 longitude points: {cube.coord('longitude').points[:4]}\")\n",
" print(f\"First 3 height points: {cube.coord('level_height').points[:4]}\")\n",
" print()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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+ATBaCNEdVbd2bgEYDwBEFCuE2AjgGqpWKP2LiAzSfhMArATgDGCPtAFVDud3IUQiqn4ZjLqbTjEMwzB3jnhYv4gHBgZSdHT0gzaDYRjmoUIIcZ6IAq3J+E1lhmEYBgA7BIZhGEaCHQLDMAwDgB0CwzAMI8EOgWEYhgHADoFhGIaRYIfAMAzDAGCHwDAMw0g8kg5h7dq1WLt2LQoLLcIlAQCICNOnT8fu3btRUVFhVScxMRGffvopzpw5A6PRaFVn27ZtWLJkCTIyMhRtWbx4MaKioqDX663KCwoKsHTpUmRlZSnWcfbsWezfvx9arVZRZ9u2bYiNjYXSi4gVFRVYtmyZzXauXLmCrVu3QqVS2WzHVn8MBgMWLlyIK1euKNpy48YNhIWFITU1VbGd7du3Y9OmTSgtLVXU+e6773Ds2DFFW7KysrBo0SIkJycr1nH06FHs3LkTarVaUWf9+vU2+6NSqbBmzRoUFBQo1nHlyhUcOXIEOp1OUSciIgLXrl1TbEen02Ht2rWwFfjx5s2bOHz4sM12jh8/joSEBEU5UDX+tvqTlZWFAwcO2JyT0dHRiIuLU+wPABw8eBBFRUWK8pKSEkRGRqKyslJR5+rVq7h8+bLNdiIiIpCUlKQo12g0WLFiBbKzsxV1YmJisGnTJpSUlCjqbN261aa9RqMR8+fPx4ULFxTtTUhIwA8//GBz3v5RHkmHEBMTg6ioKJw7d87qoBMRoqKiEBUVhbi4OKt15OfnIyoqCseOHVO8iF6/fh1RUVE4fvy44gl48uRJHDt2TPHiV1paiqioKJw8eVLxwpacnIxjx44hMTHRqhwAzp07h6ioKBQXF1uVazQa2ValdtLT0xEVFYVLly4ptnPlyhVERUUhJSXFqtxgMMhjq+SQc3JyZFuUTpy4uDhERUXZPHGOHz+OqKgoxbEtKiqSbbHl+KOiohATE2NVDgBnzpzBsWPHFPtTXl6OqKgonD17VtHW1NRUHDt2DLdu3VJs5+LFi4iKilK84Oh0OkRFReH06dOKX1Kys7Nx7NgxmxeTq1evIioqyqbjt3X+AFVfZKKiomw6lhs3biAqKsqmUz916pTNdsrKyhAVFYWbN28q1nHr1i2bxwcAzp8/b3MemM6PkydPwmAwWNXJyMhAVFQULl68qGiv6fxQstdgMODYsWM4duyYomPPzc2Vrz0ajUaxT38EDl3BMAzzCMGhKxiGYZgaYYfAMAzDAGCHwDAMw0iwQ2AYhmEAsENgGIZhJNghMAzDMADYITAMwzAS7BAYhmEYAOwQGIZhGAl2CAzDMAwAdggMwzCMBDsEhmEYBgA7BIZhGEaiRocghGghhDgshIgTQsQKId6XypsKIQ4IIRKkv27V9pkqhEgUQlwXQgRVK+8lhIiRZIuEEEIqdxJCbJDKzwghWt+HvjIMwzA2qM0vBD2Aj4ioI4A+AP4lhOgEYAqASCJqByBS+h+SbBSAzgCGA/hJCGEv1RUGYByAdtI2XCofC6CIiNoC+A7A3HvQN4ZhGOYOqNEhEFEWEV2QPpcBiAPgA+B5AKsktVUAXpA+Pw9gPRFpiSgZQCKA3kIILwCuRHSKqpIw/HbbPqa6NgN42vTrgWEYhvlzuKNnCNKtnB4AzgDwJKIsoMppAGguqfkASKu2W7pU5iN9vr3cbB8i0gMoAeBupf1xQohoIUS0rTSBDMMwzJ1Ta4cghGgIYAuAiUSknPMOsPbNnmyU29rHvIDoFyIKJKJADw+PmkxmGIZh7oBaOQQhhAOqnMEaItoqFedIt4Eg/c2VytMBtKi2uy+ATKnc10q52T5CiHoAGgNQToDKMAzD3HNqs8pIAFgGII6IFlQT7QTwpvT5TQA7qpWPklYO+aHq4fFZ6bZSmRCij1TnG7ftY6rrZQCH6GFN9swwDPOQUq8WOv0AvA4gRghxSSr7BMAcABuFEGMBpAIYCQBEFCuE2AjgGqpWKP2LiAzSfhMArATgDGCPtAFVDud3IUQiqn4ZjLq7bjEMwzB3inhYv4gHBgZSdHT0gzaDYRjmoUIIcZ6IAq3J+E1lhmEYBgA7BIZhGEaCHQLDMAwDgB0CwzAMI/FIOISioiKbcoPBgJKSEps6er0epaW23serorS0FDqdzqYOEdVok0ajQUVFhU0do9GI4uLiGm2qrKys0ab/j9RmjNVqtU2dmo4BUHU8mbpJTeetrTmi1WpRXl7+h+VA1fypaQ7VNE+Lior+tDn2/9IhEBEuXryIL774Ar1798ZLL72EiIgIecvNzUVZWRm2bNmCMWPGwMvLCytWrDDTAYCSkhJs2LABr7/+Ojw9PbF+/XpZfv78ebm95ORk/PDDDxg2bBi6deuG/fv3IyIiAmlp/4vgUVFRgYiICEyYMAEtW7bEggULEBERgcrKSlknKysLS5cuxfPPP48WLVpg3759OHnypFnfVCoVtm3bhn/84x/w8vLCsmXLcPPmTYsxyMvLw2+//YaRI0eiQ4cOipOyqKgI69atw4IFC6zKTVRWViInJ8emjtFoREpKik0dIkJ0dDQMBoOiTkJCAubNm4f4+HjFE+HHH3/EO++8g507dyqelC+++CL69u2Lr776CjExMRZ1FRcXo02bNggNDcUvv/yCjIwMizrWr1+Pzp07Y8qUKTh+/LhVu8eMGYMxY8Zgy5YtKCsrs5CXlpZi/Pjx2Lp1K1QqlVVbr127hpMnT9ocl/z8fEUZAOTm5irWbyIpKcmmHKiaz7YoKiqyeREjIpu2arVa7N+/X9GWvLw8rFq1Cm+//bbZ+WFCr9fjyJEjmDRpEj777DMLeXFxMTZs2IC///3v8PT0xKVLl2SZ0WjE6dOnMW3aNHTr1g1jx45FRESE7DRyc3OxcuVKvPTSS/D29pbP98OHD8vyFStW4K9//Su8vb2xZ88eWSc2NhZA1Xn866+/4vnnn0erVq2wb98+WSc/Px86nQ5HjhzBRx99hICAAEyePFmW7927F0SE2NhYzJkzB/3790dQUJBZOxcvXlQc27ulNu8hPHTcuHED69atw65duxAfH4+AgACsXbtWlnt6eiIhIQGbN2/Gvn37oFKpcPToUZiWsQohMGzYMOzcuRNbtmzBgQMHoFarcfDgQTg6OgIAevXqhV69eqGgoADr16/Hrl27cPr0aTRt2hTr1q0DALzzzjto0aIFiAiRkZGyQykqKsLZs2eRnJyMAQMGwNHRESqVChs3bsSOHTtw7NgxODg4YPPmzWjXrh369u0LoGoy79mzB5s2bcLevXtRVlaGqKgotG/fHv7+/nL/NBoNtmzZgh07duDQoUNo0KABysrK4OrqajZOOp0O27Ztw7Zt21BRUYEPP/xQcUxPnDgBrVaL4cOHK+qUlpbi2LFjaNWqlaKOTqfDunXrYG9vjx49eljVuXXrFtatWweVSoV33nkHPj4+FjqpqanYtGkTysrKoNfr8eKLL+L2eIj5+fmIjY1FWVmZXJefn5+ZvLy8HHv27JF13n77bbNxKikpwbVr11BWVoaysjI4Ojqid+/eFvZeuHABKpUKOp0Or7zyCuzs/vddq7y8HFu2bEFhYSH0ej1efvllMzkAxMbG4ujRo3ByckKvXr2sjsvBgwcxaNAgeHl5WZXHxMTA29sbHTt2tCoHgL179+Ldd9+1aN+EWq3G4cOHzcbpdhISEgDAYhxMJCUlISYmBi+88IJV+dGjR7F27Vr87W9/Q5s2bcxkGo0Gmzdvxvbt23Hp0iUsXLhQPudMnDlzBuvWrUN4eDieeuopM5ler8eOHTuwdetWHDhwABUVFWZfZK5cuSJfG5KTk2Fvb4+1a9eia9eucHBwwKZNm7Bjxw4cOXIERITt27dDCAEPDw88+eST8jl69OhRAMC2bdvkeTds2DC0atVKvh5ERUXByckJmzdvlttv2bIl4uPjZfszMzPh7u4OjUYDAHB0dETHjh1lG69cuYLWrVubXb/69OmjeO7cNUT0UG69evWi2pCQkEBbtmxRlGs0Gtq3bx/FxsYq6qjVatq9ezclJCTYbCsnJ4dWr15NlZWVijo6nY6OHj1KZ8+eVdQpKiqi9evXU3FxsaKOVqulAwcOUExMjE2bysrKaPv27aTVam3q2bL5z8ZgMNSok5qaWqPNmzdvpuTkZEV5WVkZrV27lgoKChR1rly5QpcuXSKj0aioc+nSJZvjW1lZWeP4M5aUlpbanAtGo5HS0tIU5Wq1msLDwykxMdHqvlevXqXw8HCr+5aUlNCmTZsoJyfHpjw3N1ex/aKiIlq3bh2VlJRYlRsMBoqOjqbIyEjFOm7dukXr16+3Of/uFADRpHBd5RfTGIZhHiH4xTSGYRimRtghMAzDMADYITAMwzAS7BAYhmEYAOwQGIZhGAl2CAzDMAwAdggMwzCMBDsEhmEYBgA7BIZhGEaCHQLDMAwDgB0CwzAMI8EOgWEYhgHADoFhGIaRYIfAMAzDAGCHwDAMw0jU6BCEEMuFELlCiKvVymYKITKEEJekLbiabKoQIlEIcV0IEVStvJcQIkaSLRJSmiEhhJMQYoNUfkYI0foe95FhGIapBbX5hbASgLW8id8RUXdpiwAAIUQnAKMAdJb2+UkIYS/phwEYB6CdtJnqHAugiIjaAvgOwNw/2BeGYRjmLqjRIRBRFIDCWtb3PID1RKQlomQAiQB6CyG8ALgS0SkphdtvAF6ots8q6fNmAE+L25PjMgzDMPedu3mG8J4Q4op0S8lNKvMBkFZNJ10q85E+315utg8R6QGUAHC31qAQYpwQIloIEZ2Xl3cXpjMMwzC380cdQhgAfwDdAWQBmC+VW/tmTzbKbe1jWUj0CxEFElGgh4fHHRlswmAwQKPR/KF97wfHjx9HWVmZTZ3Fixfj999/R0FBgaJOUVERpkyZgqNHj0Kv1yvqlZeXY8qUKTh06BB0Op2iXlpaGqZPn44zZ87AaDQq6hERPv/8c+zYsQPl5eU2+3Hp0iV8+eWXuHLlCmrK5T1//nxs2rQJpaWlNvWOHz+OefPm4fr16zb1MjMza9Wfw4cP47vvvkNiYqKijsFgwKeffoqIiAibc2n//v1YuHAhbt68qaij0WgwdepUHDhwAJWVlYp6ixYtwtq1a1FUVKSoc/r0acydOxfXrl1THN8zZ85gzpw5iI2NtapDRJg5cya2b99u9XjqdDpMmzYNe/futdr3uXPnKh63ZcuWYcWKFcjNzbWQLVy4ULF/prkdFRVldW7v3bsXCxcutHrMajovfvzxR6xevdri3CIifPnll9i8ebNZX06dOoW5c+daHb+kpCRFGx8aiKjGDUBrAFdrkgGYCmBqNdk+AE8B8AIQX618NIAl1XWkz/UA5AMQNdnUq1cvuhPUajXNmDGDmjZtSmfPnlXUKygooI8//rjG+j799FNSq9U2db7//nvatGkTGY1GRZ0OHTqQo6Mjvfrqq5SSkmIhv3DhAjVr1owAkJ2dHQ0dOpSuXLlipjNv3jwKCAggBwcHAkBubm40depUUqlUsk5wcDAFBARQQEAAOTk5EQBydXWlDz74gEpKSiglJUWWmzYhBAGg5s2b01dffUW//PKLhU5AQAC5uroSAHJycqLWrVuTv7+/Vb127doRqpw91atXjzw9Pa3q+fj4kJ2dnazbsGFD8vPzM9Nxc3MjR0dHuc8AyMHBgby8vKhDhw7UoUMHcnJyIkdHR3kz6dnb25OHhwe1bNnSTH57fY6OjtSoUSMLHUdHR3lshBBkb29PDg4OFjr16tWT6zL12VZdpmNsra7q4yGEqFV79vb2Fjr29vY16lSXW7PHlr227KzetrOzM7m6upKDgwM5ODiY7degQQNq3bo1tW/fnurXr292TOzs7Khp06bUvn17CggIoFatWpn129HRkXx8fMzmiqlu077t2rWj9u3bU/v27eVzq3q7pv0aN24sz6vg4GBq06YNtWnTRtb39/en3377TT6/V69erXj+EREVFhbS7NmzFa8Fer2efv/9d5vXlNzcXNq+fbtNnZoAEE0K11VBNXxTAwBp5U84EXWR/vcioizp8wcAniSiUUKIzgDWAugNwBtAJIB2RGQQQpwD8G8AZwBEAPiBiCKEEP8C0JWI3hVCjALwVyJ6pSabAgMDKTo6ukbbq0NEiI2NhY+PD9zc3BT1jEYj7Oxs/3iqjU5lZSUcHR1t6ixfvhx+fn7o378/HBwcLOQ6nQ4fffQRNBoNnnvuOfzlL3+Bi4uLmY5KpUJGRgbeffddPPPMMwgJCUG3bt1Q/VFMQUEBDAYDysvL8fbbb2PAgAEIDQ1Fz549IYSAXq9HYeH/HhWlp6fjo48+QnBwMEJDQxEQEICKigqoVCqztokI//znP9G6dWuEhoaiU6dOin29cOECFixYgCFDhmDo0KFo2bKlVT2NRoPJkyfDxcUFQUFB6Nu3L+rXr2+mU1paCq1Wi+PHj2PLli0YOnQohg0bBi8vL1mn+m3F7OxsfPrpp3j66acxbNgwtG/fHjqdDiUlJWb1Hjp0CLt378awYcPwzDPPoGHDhqioqDDTMRqN+OCDDxAQEICgoCC0adMG1h577d+/HwcPHsTTTz+NXr16oVmzZhY6Wq0WH3zwAbp164Z+/fqhS5cuVuv69ttvodFoMHDgQDz55JMW4wFU/UJYtWoVBg8ejMGDB8PT09NC58SJE1i9ejUGDx6MQYMG4bHHHjOTExE+/PBDeHt7Y9CgQejZsyfq1asnyw0GAyZOnAh/f38MHjwY3bp1MzsPZs6cicaNG2PIkCHo3Lmz2fz/+eefkZ+fj2HDhmHQoEEgImi1WgDAnDlzYGdnh6CgIPTr10/uX0FBAYqLizFp0iQMGjQIw4YNQ8eOHeUx0ul0WLduHQ4fPoygoCA8/fTTZuNcXFyMsWPHYsCAARg2bBg6depkNr6ff/45dDodBg8ejL59+8LZ2VmWvf/++/D09ERoaCj69u2L0tJSHDt2DCtXrkRoaChGjBgBHx8fWT8+Ph5btmxBaGgounbtavU41ua6cb8RQpwnokCrspocghBiHYDBAJoByAHwmfR/d1R5ylsAxldzENMA/AOAHsBEItojlQeiasWSM4A9AP5NRCSEqA/gdwA9UPXwehQRJdXUqT/iEB5WiMjq5LpTnQepd790H4Tew1xXTTr3U34/ZPdrX9N18XbZnczhuspdOYS6yqPkEBiGYe4VthwCv6nMMAzDAGCHwDAMw0iwQ2AYhmEAsENgGIZhJNghMAzDMADYITAMwzAS7BAYhmEYAOwQGIZhGAl2CAzDMAwAdggMwzCMBDsEhmEYBgA7BIZhGEaCHQLDMAwDgB0CwzAMI8EOgWEYhgHADsEqpnRytiguLjbLyGWNqKgobNu2zSLLWHXWrFmD6OhoxTy/KpUKkyZNwr59++TsUtZITEzE+PHjER4ebpHhqzparRbjx4/H77//jvz8fJv2z58/H/PmzUN8fLzN8TAYDPj3v/+N5cuXIycnx2adGo0G48ePt5rH1hqzZ8+uMS+xifPnz+P999/HwYMHbeYnBqpy7Y4bNw6bN2+uMaf1rVu38O6772L37t02xxaoyoBXm7zRx44dw6RJk2rMgf3dd9/VmDN69+7dmDp1Kk6ePAmDwWBVZ+/evZgyZQqOHz+uqPPVV19hwYIFSEhIsCo/cuQIPvroIxw5csSqzZGRkZg8ebJiXuFffvlFcWxKSkrw9ttvY8OGDRZZ7NRqNd555x2sWbPGLKsfUHXM//Of/2D//v0W58fixYvx9ddfIyYmxqK9n3/+2aotaWlpeOeddyxyhM+ZMwfz58/HjRs3zOpZtWoVZs2ahQsXLpjVs2/fPvz3v//FsWPHzMbi4MGDNeb1fqAo5das69ud5lSuzs6dO6m0tFRRbjQaqW/fvhQZGamoc+rUKRJC0DvvvEN5eXlWdSZNmiTnj509ezZpNBoLnYCAAAJAHTt2pIMHD1rIo6Oj5ZyyTZs2pbCwMNLr9WY6M2fOJDc3NznXa6NGjWj+/PlUWVkp6/Tp04fc3NzIzc1Nzm1rZ2dHEyZMoIKCAkpKSpLlps3Z2Vmus3///jR16lQLHdN2ey7iJk2aWNVr0qSJWc5eJycnC90GDRqQEMIsdy+knMSNGzeW8ymbdKpvJl1rMiVdW/vcrmNNV0mHt7vbajP+dyJTOmb29vZkb29vVebs7Exubm5yHnLTPHR1dZXnqqnc29ubGjVqRG5ubnKecQDUokULObf66NGjCQC1bduWIiIiLM737du305EjRxSvO0REH3/8MWm1Wps6toCNnMoP/ML+R7e7cQg1YTQazS6m1jBdRG1x6NAhWrVqlaLDICJaunQpHTp0SLG9srIyGj9+PG3atIlKSkoU60lMTKTRo0fTmjVrqKCgQFFPo9HQ3//+d/rhhx8oOTnZpv1ffvklTZs2jU6fPk0Gg0FRT6/X05gxY2j+/Pl0/fp1m3VWVFTQa6+9Vqv2iYimTZtGn332GUVHR8vJzJWIjo6m119/nTZu3EjFxcU2dQsLC2nkyJG0ZMkSSk9Pt6mbnJxMr776Kv322282jyUR0c8//0wffvihzWNKRHT06FEaM2YMbd261eaXk6+//pqmTp1KJ0+etPgiYGLnzp307rvv0u7du0mtVlvV2b17N40fP57Cw8MVdWbMmEEzZsygc+fOWT3ekZGR9Pbbb9OOHTssEsgTEe3fv5/eeecd2rlzJ5WXl1vIf/zxR5o8eTJFRUWRTqczk5WUlNCoUaPol19+oYyMDDNZeXk5vfbaaxQWFkZpaWlmsujoaHrzzTdp8+bNFufHd999R1OmTKETJ05YjN2iRYvov//9Lx07dsxMlpqaKh/r/Px8uXzWrFlWx2bZsmVWj/eePXusjvfu3btp3759Vr8c/lnYcgicQpNhGOYRglNoMgzDMDXCDoFhGIYBwA6BYRiGkWCHwDAMwwBgh8AwDMNI1OgQhBDLhRC5Qoir1cqaCiEOCCESpL9u1WRThRCJQojrQoigauW9hBAxkmyREEJI5U5CiA1S+RkhROt73EeGYRimFtTmF8JKAMNvK5sCIJKI2gGIlP6HEKITgFEAOkv7/CSEsJf2CQMwDkA7aTPVORZAERG1BfAdgLl/tDMMwzDMH6dGh0BEUQAKbyt+HsAq6fMqAC9UK19PRFoiSgaQCKC3EMILgCsRnZJejPjttn1MdW0G8LTp1wPDMAzz5/FHnyF4ElEWAEh/m0vlPgDSqumlS2U+0ufby832ISI9gBIA7tYaFUKME0JECyGia4ojxDAMw9wZ9/qhsrVv9mSj3NY+loVEvxBRIBEFenh4/EETGYZhGGv8UYeQI90GgvQ3VypPB9Cimp4vgEyp3NdKudk+Qoh6ABrD8hYVwzAMc5/5ow5hJ4A3pc9vAthRrXyUtHLID1UPj89Kt5XKhBB9pOcDb9y2j6mulwEcooc1wBLDMMxDTL2aFIQQ6wAMBtBMCJEO4DMAcwBsFEKMBZAKYCQAEFGsEGIjgGsA9AD+RUSm4OsTULViyRnAHmkDgGUAfhdCJKLql8Goe9IzhmEY5o6ozSqj0UTkRUQORORLRMuIqICIniaidtLfwmr6XxKRPxEFENGeauXRRNRFkr1n+hVARBoiGklEbYmoNxEl3Z+u/o/aJKfIyMioMcmKWq22mRCmtLS0xiQwNSWpISLcunXLpg4AFBYWWiQWsUZKSkqt+p+fn28zsc/tddb2R11aWlqtk4NotVpkZWXVShcA0tPTbSabqU5ZWVmtEvSYuJM+1lZXpVLVygaj0Yi0tLQa9UpLS1FUVHTX9hERUlJSbNaRlpammGinpjZ0Oh3S09Otymzta+tcSE1NtTqvUlNTrdqZlZVlNeFUTk4O1Gq1RdntiZF0Oh0yMjJqbd/DQo2/EP4/Mn36dFy5cgUhISEYMWIEWrRoYSY3Go349ttvsXz5cgQFBSEkJATPPvssmjdvLuukpqbi0KFDmDhxIgICAhAaGoqQkBA8/vjjMK2aPX/+PEaMGIHAwECEhIQgJCQEHTt2RPVVta+++ioKCwvl/QMDA2Fn9z8/nZeXhxdeeAEajQYhISEIDQ1F37594eDgIOtcuHABp06dwkcffYT+/fvLev7+/rLOzp07UVJSgh07duDEiRMYMWIEQkJCMHToUDRo0ABlZWXYvn27rJ+bm4tp06ZhyJAhsm0qlQrnz5+3GM9ff/0V6enpCA0NhZeXFzw9PVGvnvWptXv3bkRERKB79+7o0aMHunTpgvr165vp5OXl4caNGyAirFu3Ds2aNUOPHj3QvXt3tGrVCkIIxMfHW1xM4+LicP78eTz++OPo0aMHKioqzMapOnq9Hr/99hvc3d3RqlUrtGrVCk2aNMHtK55zc3NRXFyMuLg4qFQqtGrVCq1bt4aXlxfs7atesUlKSjJzRDdu3EBJSQlatWqFli1bwt3d3eLiAVTNsxMnTqBZs2Zo1qwZXFxc4OLiYmEDAERHR4OI4O7uDnd3d7i6ulroVVZW4uTJk3B1dTWrszpqtRrx8fHQaDSyTuPGjeW+AFXZ5K5fvw4hhKxze3txcXHIz8+Hu7s7mjVrhqZNm5od8+vXr5vJ3dzczNo4c+YM6tWrBzc3NzRr1gwNGzaU531iYiIKCgrQqlUrODo6wtXVVd738uXLMBqN8jFr1KgRMjIykJaWhszMTLRo0QKtWrWCr68vHBwcEBsbi4sXL8LX11cud3R0REZGBg4cOICuXbuiR48ecv35+fnYuXMnOnfuLM+54uJifP311+jQoQN69OiBHj16oEmTJvj444/h5eWF0NBQhIaGon79+nj11VdhNBrlsqeeesqs34sWLUJlZSVCQkIQEBBgcQyJCAkJCWjXrp3VeQBUZZerV68eGjRoYFV+NzySDqGsrAyXL19Gq1at4OfnBx8fH7OLMFD1DaisrAyXLl1Cy5Yt0aZNG3h4eMgHqbi4WJ6ccXFx8gT19/dHo0aNAFR9CzEYDIiJiYGvry9atmyJ1q1bm52kFRUViI+Ph6+vL3x9feHv7w939/+tui0vL4darUZycrI8sf39/eHr+79n9BkZGYiLi0NlZSUuXboEHx8f+Pr6okWLFnB0dAQAxMbGIicnB3l5ecjOzsaFCxfg4+ODNm3aoFu3btBqtWYX+4qKCmi1Wly8eBHe3t7w8fFBw4YNrTqE0tJS3Lp1C9HR0fIFq3HjxlbHPjs7G2VlZbh27RoqKiqQl5dn5miBqm9k8fHxAKq+iaWmpspj3rZtW9SvXx9xcXEWKUyLiopQXl6OuLg4aLVaqFQqODs7W7UDqEr9mZubC41Gg6ysLDRp0sRiHhQXF0OlUkGlUkGj0SA5ORkFBQVwc3ODk5OT3KfqDqG8vBwVFRWyboMGDRR/vZlsKC0thb29PRwdHa1eCCoqKqDX66HVapGfn4/69etb6BmNRhARSkpKUFFRgdzcXNlGEzqdDiqVCgaDATk5OSgqKoKTk5PZRUuj0UCr1cJoNCIrKwsFBQVwcnIyG5uSkhLo9Xrk5+ejtLQUGRkZZg5BpVKhsrISubm5KCkpsWijsrISarUaGo1Grt/UH7VaDbVajZSUFAgh4OjoKO9bXl6OyspKJCUloaCgAC4uLigqKoJGo4FGo0FaWhpKS0uRmpoKFxcXFBYWoqKiAmlpaSgpKZHLTfXcuHEDer0eer0eDg4O0Gq10Ol0SEhIgF6vR0FBARo3bgyNRoOEhAQYDAYUFhaiVatWMBgMuHbtGry9veHt7Q0vLy9oNBqkpKTg/Pnz8Pb2Rps2beDt7S33OyEhAQUFBfDx8UGrVq0s5qfRaMTFixfRokULxblbVFQElUqFLl26WJXfFUqZc+r6djcZ07Kzs2vMvnXp0iWKi4uzqVdWVkb79+9XTGeXn59Phw8ftpk56+TJk1azS5kwGo20Z8+eGjOAZWRk0PHjxxWzapk4duyYRdYpayQnJ9OZM2dsZkozsX//fsrNza1Rj4joxIkTtcqURlSV3W337t02x6c6Z86coYSEhFrpFhYW0sGDB2udivBO+hgZGUnZ2dk16hUXF9OBAwdqtMFgMNCuXbtsZlYjIsrLy6sxUxsR0YEDB2z2xWg00u7du222d/r0abp586ai/MiRIxaZz0xUVlbaPK6HDx+mrKwsq3ZFRERYPRdOnDhBKSkpFuWnTp2yOt+uXr1KMTExFuf3jRs36Pz582bl8fHxdOHCBbMya32wZV91nQcNOGMawzAMA3DGNIZhGKYWsENgGIZhALBDYBiGYSTYITAMwzAA2CEwDMMwEuwQGIZhGADsEBiGYRgJdggMwzAMAHYIDMMwjAQ7BIZhGAbAI+oQahuuozZ6dSX0x73s0/3Qu5+6dU3/Tsbuz56L90LnbuR/dF9b5dZkSmV3onsndvx/4ZGMdpqbm4vXXnsNvXv3RkhICPr06WMWiZGIkJubi+TkZHz88cdyqOjqoas1Gg1KSkoQFhaGhIQEhIaGIigoCG5ubnI9GzZsQEREBEJCQjBs2DCrEUC//fZbNG/eHMHBwbCWJ7qkpARjx47FkCFDEBISglatWlnoqFQqfPTRRxBCICQkBE8//bRFpMSCggLo9Xp8/PHHcHFxQWhoKIYMGSKHntbr9Sgs/F/m0i+++AIajQahoaF45pln4OLiArVabZEjIT4+HjNnzpTD/bq7u0On01kd9yNHjmDVqlUYPHgwhg0bBi8vL6t6Go0GpaWlmDx5Mvz8/DBs2DD07t3bLJpmaWmpWTx7jUaDDz74AL1798awYcPQrVs3m7kGbt26hS+//BL9+vXDkCFDrI4rUBVdU6PRYNWqVSgsLMTgwYPRt29fs4i1RUVFZrH49+7di+joaAwZMgQDBgxAo0aNFKOdzpkzB+7u7ujTpw86dOigGDb8xx9/hE6nQ58+fdCjRw+LKKYmO2bOnIknnngCffv2RZs2bSwioqrVasyYMQPt2rVDv3790KlTJ4sIr0eOHMG+ffvw1FNPoW/fvmjWrJmZPCUlBd999x369u2Lfv36wcfHx0x+6NAhREVFoXfv3njqqafMzgkA+Oyzz9C6dWv07t0bHTt2NDv3fvjhBwghMGjQIPTp0wdqtRpEBIPBgGnTpqFz584YPHgwunXrBjs7O1RWVmLKlClo1qwZBg8ejMDAQDg4OCAjIwOzZs3CM888Y2bjtGnT0Lx5cwwbNgxPPfUUHB0dcfbsWSxYsADDhg3D0KFD0aJFC2RlZeE///kPnn32WYSGhiIgIACFhYW4efMmPvnkEznEfPv27WXbY2Ji8NNPPyE0NBR/+ctfLMK6A8DJkyfh5eUFPz8/q8e5NmRlZeHq1asYOHCg1XlwVyhFvavr291EOx0/fjw5OzsTAGrcuDH9+9//poKCAlmu1+upY8eO1LFjRwJAAMjHx4e++eYbOTLlgQMHqEOHDuTt7U0ASAhB/fv3p2PHjsn1fPjhh7Js0KBBdObMGQtb2rdvTwCoR48etHv3bgv5xYsXydHRkQCQv78/rVixwiIC6bx586hZs2YEgOzt7WnEiBF07do1M50RI0ZQhw4dqGnTpgSAHBwc6IUXXqAbN24QEVFKSgp16NBB3jw8PAgA2dnZUVBQEF25coVWrlxpptOhQwcKCAgwG6MnnnjCQse0tWnTRtZ1cHAgb29vq3o+Pj7k6OhIdnZ28vi5urpS27ZtZR03NzdydHQ024QQss1ubm7k5ORkoVN9M9liGjdrOvb29mZ6JnscHBws2rW2CSGs1sFbzZsQQnFs7ezsyMHBgerVq2e1vPrxNR2D6nMKADVq1Ij8/f2pbdu2ZvPyscceow4dOsi6Hh4eNGnSJAoICDCb715eXjR//nw5uuzq1asJANWrV49CQkIoPj7e4nx+7bXXqGXLlhQWFmY1MrFer6fw8HDFaxdRVTRYJycnevXVV+nWrVs2da0BG9FOH/iF/Y9ud+MQtFotffLJJxQZGWkzVHBycjLNnDnTIhxuddasWUNLly61Gq43MjKSVqxYQTk5OYpt7Ny50+ZBLSsro3nz5tG1a9dshs79/vvvad26dVRUVKSoQ1TlPDZu3FhjOO3FixfT6tWrzRylNeLi4mjWrFkW4YGtcfz4cfrmm29qDCtOVBUm+LPPPqMdO3bUKvy1Wq2mjz/+uFbhpImIEhMTacaMGXTu3LlahfheunQpLV++3OaxNLFz50764YcfagzzbTQa6csvv6QtW7bUGNp64cKFNR7f/Px8mjp1qs0w6DqdjqZNm0Z79+6liooKqzpRUVE0b948un79ulV5fHy8zWO+Z88eWrRoESUlJVnITMd1165dVo+r0jyurKykTz75hPbu3UsajcasvtmzZ9PWrVuprKxMLr916xZ9+umndPbsWfn4KulGR0fT119/bRYOOzMzk6ZNm0anTp0ymx+JiYn02WefUXR0tMW8uXHjBq1fv97mMapN6P2aKC4uNrP/TrHlEDj8NcMwzCMEh79mGIZhaoQdAsMwDAOAHQLDMAwjwQ6BYRiGAcAOgWEYhpG4K4cghLglhIgRQlwSQkRLZU2FEAeEEAnSX7dq+lOFEIlCiOtCiKBq5b2kehKFEIvE7W/TMAzDMPede/ELYQgRda+2jGkKgEgiagcgUvofQohOAEYB6AxgOICfhBCmVxTDAIwD0E7aht8DuxiGYZg74H7cMnoewCrp8yoAL1QrX09EWiJKBpAIoLcQwguAKxGdkl6a+K3aPgzDMMyfxN06BAKwXwhxXggxTirzJKIsAJD+NpfKfQCkVds3XSrzkT7fXm6BEGKcECJaCBGdl5d3d4Y/4CBfdZE7sfdO+1aX9E1vZd6vuu+17r2Yq7XReZByJdmd7nMn9dxpm3XpfL5fttxtcLt+RJQphGgO4IAQIt6GrrXnAmSj3LKQ6BcAvwBVbyrfqbEmCgoKoFKpMHbsWHTt2hUhISEYMGAAHB0dTe0gMzMTO3bskIPThYSEwNfXV66joqICsbGxmDhxIoYPH46QkBA8/vjjZsHEEhIS8I9//ANBQUEICQlB9+7dLYKN/ec//4GTkxNCQ0PRt29fi+BmxcXFeO211zB48GCEhoaiQ4cOFnXs3bsXS5YsQWhoKEaMGAFPT0+LPn/55ZeoqKhAaGgonnjiCYuAZnq9HsnJyRg7diwGDBiA0NBQ9O7d20xPpVKhtLQUAJCamopJkyZhxIgRCA0NRefOnSGEQH5+PiorKy3aX7JkCa5fv44RI0agZ8+eFgHPqlNRUYG5c+eisLAQQ4cOxeDBg9GoUSMznaKiIrPgdj/99BOKi4vN9HNychQvBFOmTIGPjw969+6NXr16wcHBwaotZWVl2Lt3L06cOIGBAwdi4MCBFsHeCgoK5OB258+fx86dOzFo0CAMHDgQXl5e0Ol0KC4utqg7LCwMADBw4EB07drVLEBedZYuXQqtVouePXuie/fuFoELAeDmzZtYunQpevbsiT59+qBFixYWOsePH0dkZCR69eqFJ5980iKYYmlpKWbPno3u3bvjiSeeQNu2bc3mWnl5OT7//HMEBgaia9euaN++vdn8SEtLw+LFizFw4ED06dMHbm5uZvsvX74carValhuNRmg0GgDAihUrUF5eLssaNGgAAMjJycHMmTMREBCAAQMGoHv37nIwvJ9//hn5+fl48skn8dRTT6Fhw4YwGAyYNGkSOnbsiGeeeQa9e/dGRUUFJk2ahKZNm2Lo0KHo27cv6tevj1mzZsFgMCA0NBTdunWTA8VNmTIF9evXR2hoKJ5++mm4uLhAr9fjiy++wPXr1xEaGopnn30WTZs2NRu/+Ph4hIeHIyQkBAEBARbnaW0gIhQVFVnUXR21Wo2VK1diz549CAkJwYgRI8yuTXeFUkyLO90AzAQwCcB1AF5SmReA69LnqQCmVtPfB+ApSSe+WvloAEtqau9uYhlNmDCBunTpQo0aNSIA5OrqSuPGjZPj1Oj1eurSpQv5+/vLgax69OhB27Ztk+OQHDx4kLp06SIHwPL29qbZs2ebxYeZPn26HNjM09OTZs6cSWq12swWU3A7V1dXmjBhAuXl5ZnJL126RE5OTgSAWrZsSd999x3pdDoznW+++Ua2MzAwkCIiIiz6PGDAAAJAbm5u9NFHH1FJSYmZPDU1lTp37iy3ZU1v1apV1LlzZ3kzBR7z8fGhuXPnklarpbfeestMx7T5+vrKNrq4uJCfn59Vvc6dO1PLli3NgpY1aNCA2rRpY6bj7u5OTk5O8na7vr+/P9WvX99Mp/pWPciZnZ0dOTo6WtW7PTCdKbBddR1TELbbg7EJIahevXrk4OBgoXN70DZrcqXgbnejV5PO/ZTfXm5nZ6coM43x7bLqx6r6Ma++j+nYmoIcNm/e3CJQYvv27al58+ZyMDpPT09q27atPLcAkKOjI73wwgt0/fp1SktLk+ewKZBlVFSU2Tm0Zs0aAkCtW7emH374weI8JSLav3+/WSym26msrKRnnnmGDh8+rKgTERFhFijy9mtTTeB+BLcD0ABAo2qfT6LqYfC3AKZI5VMAfCN97gzgMgAnAH4AkgDYS7JzAPqg6tfCHgDBNbV/Nw6BqOqiP2vWLDp48KBiMLT9+/fTTz/9RKmpqVblmZmZcqArawcjJyeHZsyYYRZg63aWLl1qM8heWVkZzZkzhy5fvqx4wM+cOUNhYWGUlpZmVU5EtGnTJoqKirI6SU2oVCqaNm1ajXpEVcHDahvUjoho3bp1NQb6q86yZctqFVzPxNKlS2nNmjW10jcajfTFF1/Q7t27LRy0Nfbt20eLFy+uVWTJEydO0IIFCyghIaFG3UWLFtGmTZssnPPthIWF1Rg0LTY2lr766iuzAG23ExkZSYsWLVIMuldQUEDTp0+3COhmorS0lKZPn64YPC8hIYFmz55Nly5dsmrDkiVLaO3atVRYWGgh++WXX6weP51ORzNmzKD9+/dbnKdLly6l33//nfLz8+UyvV5PM2bMoH379pldeOfMmUPbt28nlUoll/34449Wx3XBggW0efNmi4CDNc3hlJQUm+N/L6np2mQLWw7hDwe3E0K0AbBN+rcegLVE9KUQwh3ARgAtAaQCGElEhdI+0wD8A4AewEQi2iOVBwJYCcBZcgj/phoM4+B2DMMwd46t4HYc7ZRhGOYRgqOdMgzDMDXCDoFhGIYBwA6BYRiGkWCHwDAMwwBgh8AwDMNIPNIOITMzE0VFRRblRIT4+Pg69ar6/cZgMECv19dK98aNG7XWzcnJQUFBQa3tSEhIsPqmszWMRuMdHadbt26hvLy8VrpJSUmoqKioUS8nJwe1CaMSHx8Pg8FgU+fatWuKbysDVW+tZ2Rk3FU7t27dglqtVpQXFhYiOztbUW4wGGyOOREhLi5OUa5Wq3Hr1q0/ZN/NmzfN3k43kZWVZXEeK9mRkZGBkpISxfZt2Z6YmFjruXk3ZGRkWH2z/XbUajWSkpLuadt3G7rioWT37t1ISUlBZmYm5syZg/79+yM0NFR+5ZyIMHLkSJSWlsphK4YMGYL69evLdSQlJeHw4cMIDg6Gl5eX1Xays7Ph4eEhv2p/O7m5uSgtLUXbtm0Vbb148SI6dOhgNVyBiZSUFDRt2tQivEN1NmzYgICAAIvwGibKy8vRvXt39OnTR341v0mTJmY6ly9fxsmTJ7Fz506cPXsWzz77LEJCQjB8+HBZd8eOHcjMzJT3KSoqwqeffoq+ffsiNDQUw4YNw8mTJxVf64+MjMTevXsREBCArl27onPnzmjYsKGFXlxcHPLy8nDgwAEIIdC1a1d07doVbdu2lcN/HD9+3OwCm5GRgVOnTsl1t2zZEqmpqYpjGh0djRYtWsDd3R3e3t5Wj4FarcbOnTvRrFkzeHt7w8fHB66urmb902q1OHHiBIqLi+Ht7Q1vb294eXmZhcsoLCzEuXPnUFFRIdfj6elpFsokJSUFZ86cQePGjWWd6uEh9Ho9jh49itLSUnh5ecHHxwePPfaYWTs3btzApUuX4OnpCR8fH3h7e8PFxUWW63Q6bN26FW5ubnIbTZo0MevP/v37odVq4ePjAx8fH3h4eJiFsIiMjIROp4OHh4csN50DRIQdO3bAzc0Nvr6+aNy4Mdzd3eX609PTcfr0aXTo0AFdu3ZFZWWlbP/Nmzdx5coVdOzYEV27dkWXLl1ARDh27BgiIiLQtm1beR54enri+++/h1arRWBgIB577DG0b98emZmZmDdvHgYNGoSQkBCEhobC398fGzZsQGFhIZYtW4asrCxZ9vTTT8PZ2RmlpaWYMmUKDhw4gKCgIISGhiI4OBju7u5yv48ePYpt27YhNDTULBROdWbMmIH8/HyEhoZaXFNM4x8WFoY5c+bIIWRCQkLQvn17WSchIQEHDhwAEWH69Onw9vaWr1NPPfWURfibO+GRdAgFBQXyrwODwYCsrCxkZWUhOzsb7dq1A1B1chUUFCA7Oxs5OTlQqVRmB6+iogIZGRnIyclRdAhFRUVo2LCh1QsaUHURtvVtxWRrZWWlTYdQUlICo9Fo0yFkZWXBxcUFHTt2lGO2VMdoNKK0tBQZGRlIT09Hbm6uhUNQqVRIT0+HWq1GSUkJ0tPTkZGRgfz8fFk3Ly8P6en/i1VYXl4Oo9GI9PR0WT8tLc0illL1NsrLy5GTkwNXV1c4OTlZxA4CqmIp5eXlQafToaKiApmZmWjQoAHs7e3lsUpNTTVzCMXFxdDr9cjLy0NaWhoqKysVvw0XFhZCp9OhsLAQlZWV0Gq1Vo+jTqcDUBXzKDc3F3q9Ho0bNza7gFZWVkKtVqOyshJFRUUQQkCj0ZjNp5KSEmi1Wmi1WhQWFgKommPVLyrZ2dkwGo1QqVTIy8uDwWBAaWmpPJYGgwFqtRpardasnerHu7CwEEajESUlJbCzs0NlZaVZv4xGI4gIZWVlyMvLg16vl3Wr97miogL5+fkwGo0oLy83uwhVVlaivLwcdnZ2sry6UyIpXk+9evVQUlKCsrIy2WEUFRVBr9cjNzcXqampqKiokMfJFL8qJycHjRo1gqOjI5ydnZGdnQ0iko9r/fr1odVq5XoyMzOhVqtRr149qFQq6PV6pKWlyXPSz88POTk5yMnJgVarRUFBgSwrKiqCs7Mz9Ho9VCoVysrK5HMkJyfHzCGoVCpZplKprMYjKigoQEZGhvxL5XaHQETIz8+HwWBAZmYmMjMzkZ2djbZt28rHwDTfTfom23Nzc6HRaBSvN7VC6RXmur7dbegKIqKkpCS6fv26RbnRaKSoqCizuET/36msrKx1mIhTp07VWjc1NfWOXuc/e/ZsrcNbGAwGOnTokM3YMNWJiYmhlJSUWuleunSJ0tPTa9RLS0urVf9OnDhBxcXFNnWOHDliFlrhdgoKCujMmTOKYVCIiI4fP24zFEZNY5CTk6MYioWoKjSErTE3Go106NAhxXOnvLzcZmiUK1euKNp3/vx5yszMtChPSkqi2NhYM5uV7EhISLB6zpuwdQzOnTtHubm5ivvWBlvHzkRiYiLFx8fXqFdeXq4YRsQWuB+hKx40/KYywzDMncNvKjMMwzA1wg6BYRiGAcAOgWEYhpFgh8AwDMMAeEQdgtFohNFoxCeffILp06fjzJkzZssTicjmC0zFxcW4du2aVRkRISYmBl999ZXiCzimteszZsyw+SJSamoqjh8/XmN/7sXCgNrUcf36daxevVpeFqlUT2ZmJkaOHIlly5ZZLOskInn8jUYjzp8/j7/97W9Yv369/HLR7TpGoxEGgwHjx4/HV199hZiYGAu5aVOr1Rg9ejQWLVqExMREqzparRZ/+9vfMH/+fFy/ft2qTlJSEl555RWsXLkSOTk5VnUWL16MDz74AAcPHoRWq7WQl5SU4JVXXsHixYtx69Ytq3V88skn+PTTT3HmzBkYDAaLVR8bN27EhAkTsHv3bqjVaqsrQ/7zn//giy++wMWLF+Vlo9W35ORkjBw5EitXrkRubq7VOubMmYMpU6bgxIkT0Ov1FvLDhw9jzJgx2Lp1K8rKyizkaWlpGDlyJFasWGG1DZ1OhzfeeAPz58/HjRs35ONcfZs4cSK++OILXLp0SZ6P1eWzZs3CJ598glOnTskv31WXf/jhh/j8889x8eJFs/lMRNDr9RgzZgy+/fZbqy/WRUdH4+9//zvWr19v9aUwvV6PTZs2WX2R1URCQgI2bNhg86Wy+Ph4vPrqq1i9erXVFzZNc//8+fMYPXo01q5da/WlO6PRCL1ej7feegtz587FtWvX7s2LtErLj+r6djfLTkeNGkXu7u7k7Owsp6EbOnQoxcXFEVHV0rCuXbvS2rVrzZayGQwG+vXXX6lZs2b07rvvWtSbmppKI0eOlOvcvn27mdxoNNK2bduodevWBIAaNWpkNXtUaWkpTZ48mRwdHemvf/2rYj/0ej0tWbKE1q9fb7O/N27coJ9++smmTl5eHk2cONHmksXVq1cTAGrSpAl9//33VpcOPvfcc+Tu7i6nPnRxcaHPP/9cXv5XVlZG7u7u8ta0aVN5vNzd3WnJkiW0YcMGMx3TZkrvCYD8/PzIzc3Nql711Ir169enpk2b2tRxcnKyqmOSCyHIxcXFQt6wYUNZx97enho3bmyhUz0Fp7Ozs0U71eegg4MDNWnSxEzu6upqtr+rq6vNcXF0dLQ6LtXHw1pfXFxcZJ1mzZpZ9KVJkyay3MvLixo2bKjYRoMGDeitt96ykDs4OMipLceOHUvjxo1T7Mdzzz1HN2/epICAAKtjNWjQILpy5QpFR0fL8vr168vykJAQSkxMJCKi2bNnm7UvhKA333yTsrOz5Xnbr18/s/7/8ssvZktEc3JyqGHDhuTm5kaLFy+2utRz/fr18v6//vqr1SWmL774otxO48aNaeHChWbnUXl5udXzIiwsTG5zy5Ytcp8dHR3lPr3++uuUlZVl8zwnsr3s9IFf2P/odi/eQ/jyyy/phx9+sEgpaDQaba7traystLmWOzMzk3799VfFVIUGg4FOnz5N8+fPt7kuuaSkhC5evGirC38qCQkJFqkJrZGVlUXjx4+nnTt3Unl5uU3dixcv0sSJE22mESWqOiaTJk2iX3/91epadBMVFRU0YcIEWrdunWLKycrKSvrXv/5lM0VncnIyTZgwgSIiIhTX1C9btsxm2srS0lIaP368zTSZs2fPtjoHTWzbto1mzJhB586dU5wrU6dOpZ9//lnxvYnk5GT65z//abMvCxcupHnz5imu0T969ChNnjxZ8R2CtLQ0evfdd2nXrl1Wj7lOp6P33nuPfvvtN4u84SamTZtmMxXsN998Q9999518ob+dTz/9VDGtpF6vp/fff59Wrlxp9T2X8+fP0wcffECHDh2yOg91Oh1FRkYqptslIrp586bi/ibi4+Ppvffeq/E8unTpUo3nhcFgoIkTJ9LKlSvv6P0IWw6B30NgGIZ5hOD3EBiGYZgaYYfAMAzDAHhEHUJlZSXef/99bN68GaWlpXe8f0pKCs6fP29VRkS4cOECZs2aZXOV0a5du/DZZ58prjIqKyvDli1bsGnTJkU7SktLsXnzZsUVT0BVIKyIiAjFsL1EVauiduzYoViHCVsrov5s8vLyalxVcfnyZZuhoMvKypCVlWWzjtLS0hrbeVhvuzL/o6aw1nq9HmfPnrV5DsTFxWHq1Kk4efKkzXn3ww8/4Mcff7QZBnzZsmVYsGABEhISFHUWLFiAn376STFi7x9C6eFCXd/u5qHy66+/Lj+dd3BwoHfffdfs4eLu3btp//79FvtdunSJBg4cSABo/PjxZjKj0UibN28mPz8/eXXAhg0bzHTKysro448/lldLODs7WzzULCgooHfffVdeETF8+HALO/Lz82n8+PGyzi+//GKho1KpaOrUqeTs7EzOzs5WH4JHRERQhw4dCAD17t1bcbwyMjJo9OjRNGfOHEUdk12zZ8+2qVNZWUkrVqyw+TB9//799MYbb9hcMfH+++9T69atadOmTYqB2Pz8/MjT09NixYiJmJgYEkLQs88+q/gwdfbs2RQQEEDh4eGKtgwfPlxx5QkRUXp6Os2ZM8fmA8mTJ08qPkw11fHtt98qyomI1qxZQ2fPnrWp8+GHH9oce5VKRdOnT7dZx969e2nv3r02daZNm2YzUJ/BYKAPP/zQZh1nz56ltWvX2tT59ttvawxCuHnzZjpy5IhNneHDh9P48eMpPz/fqty0ysjHx4d+++03q3Nu2bJl8rnv6elpdaXRK6+8YrZyrH///nThwgVZrlarydvb22xVV2BgIJ04cULW2b59O3l7e1OjRo1knSFDhtCVK1ds9tEEeJWROaWlpfTSSy/R3Llz6dq1a7WOxElUdUE7dOgQHTp0yKq8pKSENm7cSG+88QYlJSVZ1UlMTKSFCxfSuHHjrJ6cRqORrl27RnPnzqWlS5darcNoNFJsbCzNmTOHLl++rGjvzZs3KSwsTPFipFKpaPv27bR8+XLFOkztKa3auddoNJoaj8n169dtLpElqnJ4SitaiIiKioroxIkTNleUpaSkUFlZmc12SktLbcrvZH4xD4bMzEybx0mn09HGjRttRvmNiYmhkSNH2lxJpdFoaObMmYormoxGI1VUVNC8efPoX//6F+3du9diNZJOpyO1Wk1Tp06ljz76iI4cOaIYPdYathwCrzJiGIa5BxCRYuKnO9GrbT1/lIdilZEQYrgQ4roQIlEIMeV+tnXw4EEcPXq01mkgq6PRaBAREYEDBw5YlWdnZ2PZsmV48cUX5Tcyq2M0GhEdHY3PPvsMr7zyitV7jabMV5MnT8b3339vtZ3KykpERkZi4sSJis8zDAYDTp48iS+++MLmPdLU1FTs379fUQ5UJbqpnvjGGjdu3EBZWZminIhw8+ZNm3UQkc23QU06Nd3zNX3jud/Upp2aUmcCtXs+82d9ebsX7dSmjnvRjuntbluYEkjZIjY21uac0uv1+Omnn6ye0yZSUlLwl7/8Bd98841iKs7S0lK88847+M9//iNnnqsOEWHatGl4++23sX37dqsRE1JSUvDXv/4VS5curfEZ2B2j9NPhz9wA2AO4CaANAEcAlwF0srXP3dwyGjNmDDk6OtLo0aOtvsQSERFBBw4csCi/evUqBQUFkZ2dHY0bN85MZjQaad26ddS2bVv5vt7q1avNdAoLC+m9996T33Bt2LChxT3LtLQ0Gj16tPyMIygoyMKOpKQkevnll+VnCNbeQs7OzqYxY8ZQ/fr1ydnZ2ertK71eT2FhYeTj40N9+/a1PlhUlRhk0KBB9PXXX1uVa7VamjNnDnl4eNDVq1et6pSVldGUKVOoR48eiu2Ynnt8+umnNepERUUp6lRUVNBXX31l82d0cXExbdy4UVFOVPXM6Pjx44pytVpNM2fOtHkr7dq1azb7Q1R1T96WLUajkVauXKn48hpR1a3M3377zWY7arWaTp06ZVNHpVLVaO++ffto3759NnVmzJhR4zOESZMm2ayDiCgyMtLmrZybN2/SJ598YrOtn3/+md577z2rUQFMBAUF0fPPP08JCQlW5dnZ2dSgQQNq1qwZff3111ZfKgsLCyM7Ozv57eJZs2ZZvAj4/PPPk5ubm/x2+3PPPUc3btyQ5eXl5dSsWTP57eNBgwbRuXPnzOrYvn27HAnA39+f1qxZc0e3JWHjllFdSaHZG0AiESUBgBBiPYDnASgvn7kLmjRpgg8//BCjRo1CixYtLOQ+Pj5W8yB36NAB//73v+Hp6WkhF0LgxRdfhIODA1avXi3n+q2Om5sbpk6dCj8/P6xevRqJiYkW6Sx9fX3x2WefoV27dli/fr3Vbwh+fn6YPHkyfH19sXnzZqvfyj09PfH222+jcePG2L59u9U8q/b29hgyZAgKCgoQHx9vfbAA9OjRA5MnT1bM1ero6IjJkyfj8ccfR4MGDazqNGzYEJ9++imefPJJxXYaNGiAadOmITEx0abOrFmzsH37dkWd+vXr48UXX0RMTAx69OhhVadx48aoX78+VCqVYsrBxx9/HOvWrUO/fv2syp2dnfGPf/wDV69eRf/+/a3qdOzYEYMGDUJOTg48PT2t6gQFBWHt2rWK/RFCIDQ0FOfOnUPr1q2t6jg4OKBdu3ZISkpCmzZtFO29desWevfurZjC1N7eXnHMTCiljK1O9+7dFXOJm+jVq5dNeVJSEho0aGDz9kmDBg3w+OOPK/YHAPz9/eHq6mo1x7GJvn37ws/PD82bN7cqt7e3R/v27fHSSy/hr3/9q9U0tA0aNICDgwP69euHN998Ey+++KJFikwvLy+UlZWhZ8+eeOONN/C3v/3NLEWsg4MDDAYDWrdujZdffhlvvvkmunTpYtFWo0aNMHz4cPz973/Hs88+e89uMdUVh+ADIK3a/+kALK4cQohxAMYBQMuWLf9wY4GBgXBwcFA8udzd3a1OMHt7e3Tq1AlPPPGE1Qufk5MTunTpgv79+6OoqMiqjR4eHujRowfS09Ph7OxslmvWhK+vL3r27InMzEw0btzYqo1t27ZFYGAgsrKy0LlzZ6s67du3R48ePZCbm6uYb9nX1xddunRRvJBX77etgH92dnbo2rWrzXyuzs7OiraacHFxga+vr02devXqKV70TLi5udnsEwC0aNHC4oS9nbZt29qUN2rUCI899phNHW9v7xptMeXyVsLFxQU+Pj42dTw9PeHq6mpTp3puXms4OjqiVatWNuuonkdYiVatWtm8ANvZ2dU4trfnpraGi4sLOnfubPM4enp6onnz5nBxcVHU6dChA9q1a6d4njg7O6Nfv37o1q2b4vz08PBAt27dMHjwYMVzwcnJCR06dEBQUBCeeOIJuLm5mcmFEPD390fnzp3Rp08fq8eiRYsWePLJJ9G/f3906dJF8YvaH6FOPFQWQowEEEREb0v/vw6gNxH9W2mfh+GhMtXi4RGA+/oAiWGYPwej0WjT2QJVzxBsOW2iqkimNf26uhtsPVSuK78Q0gFUv3fjCyDzAdlyz6jpQs+OgGH+/1CTMwBQ4y84IcR9dQY1UVdWGZ0D0E4I4SeEcAQwCsDOB2wTwzDMI0Wd+IVARHohxHsA9qFqxdFyIop9wGYxDMM8UtQJhwAARBQBIOJB28EwDPOoUlduGTEMwzAPGHYIDMMwDAB2CAzDMIwEOwSGYRgGQB15Me2PIITIA5DyB3dvBiD/Hppzv3mY7H2YbAUeLnsfJluBh8veh8lW4O7sbUVEHtYED61DuBuEENFKb+rVRR4mex8mW4GHy96HyVbg4bL3YbIVuH/28i0jhmEYBgA7BIZhGEbiUXUIvzxoA+6Qh8neh8lW4OGy92GyFXi47H2YbAXuk72P5DMEhmEYxpJH9RcCwzAMcxvsEBiGYRgAj6BDEEIMF0JcF0IkCiGmPGh7bkcIcUsIESOEuCSEiJbKmgohDgghEqS/bjXVcx/tWy6EyBVCXK1WpmifEGKqNNbXhRBBdcDWmUKIDGl8LwkhguuIrS2EEIeFEHFCiFghxPtSeV0dWyV769z4CiHqCyHOCiEuS7bOksrr6tgq2Xv/x1Yp2fL/xw1VobVvAmgDwBHAZQCdHrRdt9l4C0Cz28q+ATBF+jwFwNwHaN9AAD0BXK3JPgCdpDF2AuAnjb39A7Z1JoBJVnQftK1eAHpKnxsBuCHZVFfHVsneOje+AASAhtJnBwBnAPSpw2OrZO99H9tH7RdCbwCJRJRERJUA1gN4/gHbVBueB7BK+rwKwAsPyhAiigJQeFuxkn3PA1hPRFoiSgaQiKpj8KegYKsSD9rWLCK6IH0uAxCHqlzjdXVslexV4oHZS1WopH8dpI1Qd8dWyV4l7pm9j5pD8AGQVu3/dNiexA8CArBfCHFeCDFOKvMkoiyg6kQE0PyBWWcdJfvq6ni/J4S4It1SMt0mqDO2CiFaA+iBqm+GdX5sb7MXqIPjK4SwF0JcApAL4AAR1emxVbAXuM9j+6g5BGtJjOvautt+RNQTwLMA/iWEGPigDboL6uJ4hwHwB9AdQBaA+VJ5nbBVCNEQwBYAE4mo1JaqlbK6YG+dHF8iMhBRd1Tla+8thOhiQ/2Bj62Cvfd9bB81h5AOoEW1/30BZD4gW6xCRJnS31wA21D10y9HCOEFANLf3AdnoVWU7Ktz401EOdLJZgTwK/730/qB2yqEcEDVxXUNEW2Viuvs2Fqzty6Pr2RfMYAjAIajDo+tier2/hlj+6g5hHMA2gkh/IQQjgBGAdj5gG2SEUI0EEI0Mn0GMAzAVVTZ+Kak9iaAHQ/GQkWU7NsJYJQQwkkI4QegHYCzD8A+GdMFQOJFVI0v8IBtFUIIAMsAxBHRgmqiOjm2SvbWxfEVQngIIZpIn50BPAMgHnV3bK3a+6eM7Z/15LyubACCUbUi4iaAaQ/anttsa4Oq1QKXAcSa7APgDiASQIL0t+kDtHEdqn6u6lD1zWSsLfsATJPG+jqAZ+uArb8DiAFwRTqRvOqIrf1R9TP/CoBL0hZch8dWyd46N74AugG4KNl0FcAMqbyujq2Svfd9bDl0BcMwDAPg0btlxDAMwyjADoFhGIYBwA6BYRiGkWCHwDAMwwBgh8AwDMNIsENgGIZhALBDYBiGYST+D8ZBlRPe84bXAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"_, ax = plt.subplots()\n",
"\n",
"lon_slice = slice(None, None, 4) # every 4th point in longitude\n",
"hgt_slice = slice(None, None, 3) # every 3rd point in height\n",
"\n",
"quiv = ax.quiver(\n",
" u2d.coord(\"longitude\").points[lon_slice],\n",
" u2d.coord(\"level_height\").points[hgt_slice],\n",
" u2d.data[hgt_slice, lon_slice],\n",
" w2d.data[hgt_slice, lon_slice],\n",
" cmap=\"inferno_r\",\n",
");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The plot looks weird because the magnitude of the vertical wind is much smaller than that of the horizontal wind.\n",
"For plotting purposes, we can artifically increase the magnitude of the vertical wind."
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"_, ax = plt.subplots()\n",
"\n",
"lon_slice = slice(None, None, 4) # every 4th point in longitude\n",
"hgt_slice = slice(None, None, 3) # every 3rd point in height\n",
"\n",
"w_factor = 1e3\n",
"\n",
"quiv = ax.quiver(\n",
" u2d.coord(\"longitude\").points[lon_slice],\n",
" u2d.coord(\"level_height\").points[hgt_slice],\n",
" u2d.data[hgt_slice, lon_slice],\n",
" w2d.data[hgt_slice, lon_slice] * w_factor,\n",
" cmap=\"inferno_r\",\n",
");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Fin."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Again, make sure to read `iris` documentation and user guide: https://scitools-iris.readthedocs.io/en/latest/"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:exo]",
"language": "python",
"name": "conda-env-exo-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.2"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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