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@kmuehlbauer
Last active January 13, 2024 14:18
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xarray and pysteps, just good friends
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# HowTo use xarray within pysteps\n",
"\n",
"This just shows how xarray data model could be used to simplify reading/processing/plotting."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pysteps configuration file found at: /home/kai/miniconda3/envs/wradlib/lib/python3.7/site-packages/pysteps/pystepsrc\n",
"\n"
]
}
],
"source": [
"import xarray as xr\n",
"import cartopy.crs as ccrs\n",
"import cartopy.feature as cfeature\n",
"import matplotlib.pyplot as pl\n",
"import matplotlib as mpl\n",
"import pysteps\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import wradlib as wrl"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"filename = '/home/data/kai/projects/pysteps-data/radar/OPERA/20180824/T_PAAH21_C_EUOC_20180824180000.hdf'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## pysteps original"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
" R, _, metadata = pysteps.io.import_odim_hdf5(filename)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<cartopy.mpl.geoaxes.GeoAxesSubplot at 0x7f0986b1a9b0>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"pysteps.visualization.plot_precip_field(R, map='cartopy', geodata=metadata, drawlonlatlines=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## pysteps using xarray"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import netCDF4 as nc\n",
"ncf = nc.Dataset(filename, diskless=True, persist=False)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"groups = [None, 'how', 'what', 'where']\n",
"ds, how, what, where = wrl.io.xarray.get_groups(ncf, groups)\n",
"rt_grps = {'root': ds,\n",
" 'how': how,\n",
" 'what': what,\n",
" 'where': where}\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: ()\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" Conventions: ODIM_H5/V2_0\n",
" nodes: NOD:eslid,NOD:chdol,NOD:mtgud,NOD:ukche,NOD:deumd,NOD:frnan...\n",
" object: COMP\n",
" version: H5rad 2.0\n",
" date: 20180824\n",
" time: 180000\n",
" source: ORG:247\n",
" projdef: +proj=laea +lat_0=55.0 +lon_0=10.0 +x_0=1950000.0 +y_0=-210...\n",
" xsize: 1900\n",
" ysize: 2200\n",
" xscale: 2000.0\n",
" yscale: 2000.0\n",
" LL_lon: -10.434576838640398\n",
" LL_lat: 31.746215319325056\n",
" UL_lon: -39.5357864125034\n",
" UL_lat: 67.02283275830867\n",
" UR_lon: 57.81196475014995\n",
" UR_lat: 67.62103710275053\n",
" LR_lon: 29.421038635578032\n",
" LR_lat: 31.98765027794496"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.attrs.update(how.attrs)\n",
"ds.attrs.update(what.attrs)\n",
"ds.attrs.update(where.attrs)\n",
"ds"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"PROJCS[\"unnamed\",\n",
" GEOGCS[\"WGS 84\",\n",
" DATUM[\"unknown\",\n",
" SPHEROID[\"WGS84\",6378137,298.257223563]],\n",
" PRIMEM[\"Greenwich\",0],\n",
" UNIT[\"degree\",0.0174532925199433],\n",
" AUTHORITY[\"EPSG\",\"4326\"]],\n",
" PROJECTION[\"Lambert_Azimuthal_Equal_Area\"],\n",
" PARAMETER[\"latitude_of_center\",55],\n",
" PARAMETER[\"longitude_of_center\",10],\n",
" PARAMETER[\"false_easting\",1950000],\n",
" PARAMETER[\"false_northing\",-2100000],\n",
" UNIT[\"Meter\",1]]\n"
]
},
{
"data": {
"text/plain": [
"(1950000.0, -2100000.0, 55.0, 10.0)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"proj = wrl.georef.proj4_to_osr(ds.attrs['projdef'])\n",
"print(proj)\n",
"false_easting = proj.GetProjParm('false_easting')\n",
"false_northing = proj.GetProjParm('false_northing')\n",
"central_longitude = proj.GetProjParm('longitude_of_center')\n",
"central_latitude = proj.GetProjParm('latitude_of_center')\n",
"false_easting, false_northing, central_latitude, central_longitude"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: ()\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" object: COMP\n",
" version: H5rad 2.0\n",
" date: 20180824\n",
" time: 180000\n",
" source: ORG:247"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"what"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: ()\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" projdef: +proj=laea +lat_0=55.0 +lon_0=10.0 +x_0=1950000.0 +y_0=-2100000...\n",
" xsize: 1900\n",
" ysize: 2200\n",
" xscale: 2000.0\n",
" yscale: 2000.0\n",
" LL_lon: -10.434576838640398\n",
" LL_lat: 31.746215319325056\n",
" UL_lon: -39.5357864125034\n",
" UL_lat: 67.02283275830867\n",
" UR_lon: 57.81196475014995\n",
" UR_lat: 67.62103710275053\n",
" LR_lon: 29.421038635578032\n",
" LR_lat: 31.98765027794496"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"where"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(['dataset1', 'dataset2'], ['sweep_1', 'sweep_2'])"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"src_swp_grp_name, swp_grp_name = wrl.io.xarray.get_sweep_group_name(ncf, 'dataset')\n",
"src_swp_grp_name, swp_grp_name"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# iterate datasets\n",
"mfmt = 'data'\n",
"msrc = 'groups'\n",
"for i, dset in enumerate(src_swp_grp_name):\n",
" \n",
" # retrieve ds and assign datasetX how/what/where group attributes\n",
" groups = [None, 'how', 'what', 'where']\n",
" ds_root, ds_how, ds_what, ds_where = wrl.io.xarray.get_groups(ncf[dset],\n",
" groups)\n",
" ds_grps = {'how': ds_how,\n",
" 'what': ds_what,\n",
" 'where': ds_where}\n",
" # datasets\n",
" dsets = wrl.io.xarray.get_moment_names(ncf[dset], fmt=mfmt,\n",
" src=msrc)\n",
" for data in dsets:\n",
" # retrieve and name data\n",
" name = ds_what.attrs['quantity']\n",
" dat = wrl.io.xarray.open_dataset(ncf[dset][data])\n",
" \n",
" # fix dimensions\n",
" dims = list(dat.dims.items())\n",
" dat = dat.rename({dims[0][0]: 'y',\n",
" dims[1][0]: 'x'})\n",
" \n",
" # setup coordinates\n",
" xscale = where.attrs['xscale']\n",
" yscale = where.attrs['yscale']\n",
" dat = dat.assign_coords(x=np.arange(0, where.attrs['xsize']*xscale , xscale))\n",
" dat = dat.assign_coords(y=np.arange(0, where.attrs['ysize']*yscale, yscale) * -1) \n",
" \n",
" ds[name] = dat.data\n",
" ds[name].attrs.update(ds_what.attrs)\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray 'QIND' (y: 2200, x: 1900)>\n",
"[4180000 values with dtype=float64]\n",
"Coordinates:\n",
" * x (x) float64 0.0 2e+03 4e+03 6e+03 ... 3.794e+06 3.796e+06 3.798e+06\n",
" * y (y) float64 -0.0 -2e+03 -4e+03 ... -4.394e+06 -4.396e+06 -4.398e+06\n",
"Attributes:\n",
" IMAGE_VERSION: 1.2\n",
" product: COMP\n",
" startdate: 20180824\n",
" starttime: 175000\n",
" enddate: 20180824\n",
" endtime: 180500\n",
" quantity: QIND\n",
" gain: 1.0\n",
" offset: 0.0\n",
" nodata: -9999000.0\n",
" undetect: -8888000.0"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.QIND"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Simple Plot"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"cmap, norm, clevs, clevsStr = pysteps.visualization.precipfields.get_colormap('depth', 'mm', 'pysteps')\n",
"cbar_kwargs={'ticks': clevs, \n",
" 'norm': norm, \n",
" 'extend': 'max',\n",
" 'fraction': 0.040}\n",
"laea = ccrs.LambertAzimuthalEqualArea(central_longitude=central_longitude, central_latitude=central_latitude, \n",
" false_easting=false_easting, false_northing=false_northing)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"RR = ds.RATE.where(ds.RATE > 0.1)\n",
"MSK = ds.RATE.where(ds.RATE == ds.RATE.attrs['nodata'])"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 86.4 ms, sys: 15.7 ms, total: 102 ms\n",
"Wall time: 100 ms\n"
]
},
{
"data": {
"image/png": 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
@cvelascof
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in xarray_pysteps.ipynb [14], by using

bom = xr.open_mfdataset(filename, concat_dim='valid_time')

all files are correctly concatenated by the end time of the accumulation period.

@kmuehlbauer
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@cvelascof Yes, you're right, this would work too, thanks! Regarding accumulation period, how is it with the MCH GIF files? Is it the minutes before or after the timestamp in the filename?

@cvelascof
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Not sure on MCH GIF files. Best assumption is always minutes until timestamp. Perhaps @dnerini knows.

@dnerini
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dnerini commented Jun 26, 2019

It is the accumulation in minutes before timestamp for all the MCH QPE products.

ps: I really like the way your're putting together xarrays and pystpes, very impressive!

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