{ "cells": [ { "cell_type": "markdown", "id": "better-archives", "metadata": { "toc": true }, "source": [ "

Table of Contents

\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "id": "97d6b285", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n", "## library for working with weather radar data. Py-ART is partly\n", "## supported by the U.S. Department of Energy as part of the Atmospheric\n", "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n", "## Science user facility.\n", "##\n", "## If you use this software to prepare a publication, please cite:\n", "##\n", "## JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n", "\n" ] } ], "source": [ "import glob\n", "import os\n", "from pathlib import Path\n", "import act\n", "import imageio as imageio\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import pyart\n", "from copy import deepcopy\n", "import numpy as np\n", "import cartopy.crs as ccrs\n", "import shapely\n", "import pyart\n", "from tint.data_utils import get_nexrad_keys, read_nexrad_key\n", "from tint import Cell_tracks, animate\n", "from tint.visualization import embed_mp4_as_gif\n", "import pandas as pd\n", "from csu_radartools import (csu_fhc, csu_liquid_ice_mass, csu_blended_rain,csu_dsd, csu_kdp, csu_misc)\n", "import warnings\n", "import matplotlib.cm as cm\n", "import pyart.graph.cm as pcm\n", "from lmatools.io.LMA_h5_file import LMAh5File\n", "from lmatools.coordinateSystems import RadarCoordinateSystem, GeographicSystem, TangentPlaneCartesianSystem, MapProjection\n", "from dualpol import DualPolRetrieval # https://github.com/nasa/DualPol\n", "from netCDF4 import Dataset\n", "from pyproj import Geod" ] }, { "cell_type": "markdown", "id": "protected-harrison", "metadata": {}, "source": [ "## Random preamble stuff" ] }, { "cell_type": "code", "execution_count": 2, "id": "dental-hearing", "metadata": {}, "outputs": [], "source": [ "plt.rcParams['font.size'] = 14" ] }, { "cell_type": "code", "execution_count": 3, "id": "elementary-cleaners", "metadata": {}, "outputs": [], "source": [ "import matplotlib.gridspec as gridspec" ] }, { "cell_type": "code", "execution_count": 4, "id": "furnished-above", "metadata": {}, "outputs": [], "source": [ "#define walkspace function\n", "def walklevel(some_dir, level=1):\n", " some_dir = some_dir.rstrip(os.path.sep)\n", " assert os.path.isdir(some_dir)\n", " num_sep = some_dir.count(os.path.sep)\n", " for root, dirs, files in os.walk(some_dir):\n", " yield root, dirs, files\n", " num_sep_this = root.count(os.path.sep)\n", " if num_sep + level <= num_sep_this:\n", " #print('hello!')\n", " del dirs[:]" ] }, { "cell_type": "markdown", "id": "arbitrary-rocket", "metadata": {}, "source": [ "## C-SAPR data download" ] }, { "cell_type": "code", "execution_count": 33, "id": "3385038f", "metadata": {}, "outputs": [], "source": [ "act.discovery.download_data?" ] }, { "cell_type": "code", "execution_count": 5, "id": "6da364d1", "metadata": {}, "outputs": [], "source": [ "arm_username = os.getenv(\"ARM_USERNAME\")\n", "arm_password = os.getenv(\"ARM_PASSWORD\")\n", "\n", "datastream = \"houcsapr2cfrS2.a1\"\n", "\n", "#start_date = \"2022-06-04T21:00:00\"\n", "#end_date = \"2022-06-04T21:20:00\"\n", "startdate = \"2022-06-04\"\n", "enddate = \"2022-06-04\"" ] }, { "cell_type": "code", "execution_count": 34, "id": "61b6e9b1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[DOWNLOADING] houcsapr2cfrS2.a1.20220604.210735.nc\n" ] } ], "source": [ "#..Download a single time\n", "#startdate = \"2022-06-02T21:07:00\"\n", "#enddate = \"2022-06-02T21:08:00\"\n", "startdate = \"2022-06-04\"\n", "enddate = \"2022-06-04\"\n", "june4_csapr_files = act.discovery.download_data(username,token,datastream,\n", " startdate,enddate,time='210735')" ] }, { "cell_type": "code", "execution_count": 6, "id": "decent-affair", "metadata": {}, "outputs": [], "source": [ "#..approximate metling level\n", "melt_0604 = 4400/1000." ] }, { "cell_type": "code", "execution_count": 7, "id": "73820b4f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "644\n" ] } ], "source": [ "#..Downlaod CSAPR data or just load in pre-existing filenames\n", "brand_new = False\n", "if brand_new:\n", " june4_csapr_files = act.discovery.download_data(username,token,datastream,\n", " startdate,enddate)\n", "else:\n", " basepath = './houcsapr2cfrS2.a1/'\n", " numfiles = 0\n", " filepre = 'houcsapr'\n", " june4_csapr_files = []\n", " for root,dirs,files in walklevel(basepath,level=1):\n", " for file in files:\n", " if file.startswith(filepre): #change start with as string\n", " june4_csapr_files.append(file)\n", " numfiles += 1\n", "june4_csapr_files = sorted(june4_csapr_files)\n", "print(numfiles)" ] }, { "cell_type": "code", "execution_count": 20, "id": "24cd41d9", "metadata": {}, "outputs": [], "source": [ "!mkdir quicklooks/rhi\n", "!mkdir quicklooks/ppi\n", "!mkdir quicklooks/vpt" ] }, { "cell_type": "code", "execution_count": 25, "id": "b12676df", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ppi\n", "ppi\n", "rhi\n", "ppi\n", "rhi\n", "rhi\n", "rhi\n", "rhi\n", "ppi\n", "ppi\n", "rhi\n", "rhi\n", "rhi\n", "ppi\n", "rhi\n", "ppi\n", "rhi\n", 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houcsapr2cfrS2.a1.20220604.235054.nc\n", "614 houcsapr2cfrS2.a1.20220604.235110.nc\n", "615 houcsapr2cfrS2.a1.20220604.235125.nc\n", "616 houcsapr2cfrS2.a1.20220604.235137.nc\n", "617 houcsapr2cfrS2.a1.20220604.235207.nc\n", "618 houcsapr2cfrS2.a1.20220604.235225.nc\n", "619 houcsapr2cfrS2.a1.20220604.235237.nc\n", "620 houcsapr2cfrS2.a1.20220604.235254.nc\n", "621 houcsapr2cfrS2.a1.20220604.235309.nc\n", "622 houcsapr2cfrS2.a1.20220604.235340.nc\n", "623 houcsapr2cfrS2.a1.20220604.235354.nc\n", "624 houcsapr2cfrS2.a1.20220604.235411.nc\n", "625 houcsapr2cfrS2.a1.20220604.235425.nc\n", "626 houcsapr2cfrS2.a1.20220604.235439.nc\n", "627 houcsapr2cfrS2.a1.20220604.235510.nc\n", "628 houcsapr2cfrS2.a1.20220604.235526.nc\n", "629 houcsapr2cfrS2.a1.20220604.235539.nc\n", "630 houcsapr2cfrS2.a1.20220604.235556.nc\n", "631 houcsapr2cfrS2.a1.20220604.235608.nc\n", "632 houcsapr2cfrS2.a1.20220604.235640.nc\n", "633 houcsapr2cfrS2.a1.20220604.235655.nc\n", "634 houcsapr2cfrS2.a1.20220604.235711.nc\n", "635 houcsapr2cfrS2.a1.20220604.235724.nc\n", "636 houcsapr2cfrS2.a1.20220604.235737.nc\n", "637 houcsapr2cfrS2.a1.20220604.235807.nc\n", "638 houcsapr2cfrS2.a1.20220604.235824.nc\n", "639 houcsapr2cfrS2.a1.20220604.235839.nc\n", "640 houcsapr2cfrS2.a1.20220604.235855.nc\n", "641 houcsapr2cfrS2.a1.20220604.235909.nc\n", "642 houcsapr2cfrS2.a1.20220604.235940.nc\n", "643 houcsapr2cfrS2.a1.20220604.235954.nc\n" ] } ], "source": [ "for i in range(numfiles):\n", " print(i,june4_csapr_files[i])" ] }, { "cell_type": "code", "execution_count": 8, "id": "40fde81c", "metadata": {}, "outputs": [], "source": [ "#..Hand selected \"sets\" of RHIs named by (arbitrary) index in my directory. Original\n", "#..integers refer to listing if you follow above directions for download of CSAPR\n", "offset = (1193-235)\n", "csapr_idx1 = [1194-offset,1196-offset,1199-offset,1200-offset,1201-offset,1204-offset,\n", " 1205-offset,1206-offset,1213-offset,1223-offset]\n", "csapr_idx2 = [1209-offset,1210-offset,1214-offset,1215-offset,1216-offset,1219-offset]\n", "csapr_idx3 = [393,]" ] }, { "cell_type": "code", "execution_count": 9, "id": "western-diamond", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[236, 238, 241, 242, 243, 246, 247, 248, 255, 265]\n" ] } ], "source": [ "print(csapr_idx1)" ] }, { "cell_type": "code", "execution_count": 10, "id": "digital-cricket", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "houcsapr2cfrS2.a1.20220604.221847.nc\n" ] } ], "source": [ "print(june4_csapr_files[393])" ] }, { "cell_type": "markdown", "id": "innovative-woman", "metadata": {}, "source": [ "## Process C-SAPR data (phase)" ] }, { "cell_type": "code", "execution_count": 12, "id": "002cee33", "metadata": {}, "outputs": [], "source": [ "#..Process all data specified by index for downloaded files\n", "ii = 0\n", "if brand_new:\n", " for idx in csapr_idx3:\n", " fname = june4_csapr_files[idx]\n", " radar = pyart.io.read(basepath+fname)\n", " retrieve = DualPolRetrieval(radar, gs=100.0, dz='reflectivity',\n", " dr='differential_reflectivity',\n", " #dr='RD',\n", " dp='differential_phase',\n", " rh='copol_correlation_coeff',\n", " #fhc_T_factor=2, ice_flag=True,\n", " #fhc_flag=False, ice_flag=False,dsd_flag=False,precip_flag=False,liquid_ice_flag=False,\n", " fhc_flag=True, ice_flag=False,dsd_flag=True,precip_flag=True,liquid_ice_flag=False,\n", " kdp_window=1.8, thresh_sdp=20.0, speckle=3,\n", " #kdp_window=5, thresh_sdp=20.0, speckle=3, #..prev\n", " #kdp_window=5, thresh_sdp=20.0, speckle=10,\n", " kdp_method='CSU',\n", " rain_method='hidro',\n", " qc_flag=True, verbose=False)\n", " print(testpath+fname[:-3] + '_proc.nc')\n", " pyart.io.write_cfradial(testpath+fname[:-3]+'_proc.nc', radar)\n", " ii += 1\n", "else:\n", " pass" ] }, { "cell_type": "code", "execution_count": 13, "id": "arbitrary-semester", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['houcsapr2cfrS2.a1.20220604.125221.nc', 'houcsapr2cfrS2.a1.20220604.125451.nc', 'houcsapr2cfrS2.a1.20220604.130438.nc', 'houcsapr2cfrS2.a1.20220604.130522.nc', 'houcsapr2cfrS2.a1.20220604.130638.nc', 'houcsapr2cfrS2.a1.20220604.130739.nc', 'houcsapr2cfrS2.a1.20220604.130949.nc', 'houcsapr2cfrS2.a1.20220604.131018.nc', 'houcsapr2cfrS2.a1.20220604.131035.nc', 'houcsapr2cfrS2.a1.20220604.131103.nc', 'houcsapr2cfrS2.a1.20220604.131118.nc', 'houcsapr2cfrS2.a1.20220604.131315.nc', 'houcsapr2cfrS2.a1.20220604.131518.nc', 'houcsapr2cfrS2.a1.20220604.131619.nc', 'houcsapr2cfrS2.a1.20220604.200008.nc', 'houcsapr2cfrS2.a1.20220604.200037.nc', 'houcsapr2cfrS2.a1.20220604.200053.nc', 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'houcsapr2cfrS2.a1.20220604.235940.nc', 'houcsapr2cfrS2.a1.20220604.235954.nc']\n" ] } ], "source": [ "print(june4_csapr_files)" ] }, { "cell_type": "code", "execution_count": 15, "id": "c2b71e04", "metadata": {}, "outputs": [], "source": [ "testpath = './csapr_test/'\n", "if False: #...This is just a test with a single filename, can be ignored\n", " fname = june4_csapr_files[243]\n", " #nc = Dataset(basepath+fname[:-3]+'_proc.nc','r+')\n", " #nc = Dataset(testpath+fname[:-3]+'_proc.nc','r+')\n", " # nc = Dataset(testpath+fname,'r+')\n", " # nc.renameVariable(u'specific_differential_phase',u'old_kdp')\n", " # nc.close()\n", " #radar = pyart.io.read(testpath+fname[:-3]+'_proc.nc')\n", " radar = pyart.io.read(testpath+fname)\n", "\n", " #zc = deepcopy(radar.fields['reflectivity']['data']) \n", " #radar.add_field_like('reflectivity', 'ZC', zc, replace_existing=True)\n", " # retrieve = DualPolRetrieval(radar, dz='reflectivity',\n", " # dr='differential_reflectivity',dp='differential_phase', \n", " # rh='cross_correlation_ratio', \n", " # fhc_T_factor=2, kdp_window=2,ice_flag=False, \n", " # rain_method='hidro', qc_flag=True, gs=100.0, \n", " # verbose=True, thresh_sdp=20.0, speckle=3)\n", " retrieve = DualPolRetrieval(radar, gs=100.0, dz='reflectivity',\n", " dr='differential_reflectivity',\n", " #dr='RD',\n", " dp='differential_phase',\n", " rh='copol_correlation_coeff',\n", " #fhc_T_factor=2, ice_flag=True,\n", " #fhc_flag=False, ice_flag=False,dsd_flag=False,precip_flag=False,liquid_ice_flag=False,\n", " fhc_flag=True, ice_flag=False,dsd_flag=True,precip_flag=True,liquid_ice_flag=False,\n", " kdp_window=1.8, thresh_sdp=20.0, speckle=3,\n", " #kdp_window=5, thresh_sdp=20.0, speckle=3, #..prev\n", " #kdp_window=5, thresh_sdp=20.0, speckle=10,\n", " kdp_method='CSU',\n", " rain_method='hidro',\n", " qc_flag=True, verbose=False)\n", " pyart.io.write_cfradial(testpath+fname[:-3] + '_proc.nc', radar)\n" ] }, { "cell_type": "markdown", "id": "suitable-plaza", "metadata": {}, "source": [ "## Plot figures, including NEXRAD thing" ] }, { "cell_type": "markdown", "id": "3a19a19f", "metadata": {}, "source": [ "### Do main plots (run this after 4.2)" ] }, { "cell_type": "code", "execution_count": 20, "id": "eb3c0181", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#...This is an example to test plotting\n", "fname = june4_csapr_files[393]\n", "radar = pyart.io.read(testpath+fname[:-3]+'_proc.nc')\n", "#..\n", "maxx = 25\n", "maxz = 12\n", "fig = plt.figure(figsize=(6, 15))\n", "ax = fig.add_subplot(311)\n", "display = pyart.graph.RadarDisplay(radar)\n", "display.plot(\"reflectivity\", 0,vmin=-10,vmax=64,cmap=pcm.LangRainbow12)\n", "ax.plot([0,maxx],[melt_0604,melt_0604],'k:',lw=2)\n", "ax.set_xlim(0,maxx)\n", "ax.set_ylim(0,maxz)\n", "#..\n", "ax = fig.add_subplot(312)\n", "display = pyart.graph.RadarDisplay(radar)\n", "#display.plot(\"differential_reflectivity\", 0)\n", "#display.plot(\"differential_reflectivity\",0,vmin=-1,vmax=5,\n", "display.plot(\"attenuation_corrected_differential_reflectivity\",0,vmin=-1,vmax=5,\n", " cmap=pcm.BuOrR14, mask_tuple=['reflectivity', -5.])\n", " #cmap=pcm.RefDiff)\n", " #cmap=pcm.RefDiff)\n", "ax.plot([0,maxx],[melt_0604,melt_0604],'k:',lw=2)\n", "ax.set_xlim(0,maxx)\n", "ax.set_ylim(0,maxz)\n", "#..\n", "ax = fig.add_subplot(313)\n", "display = pyart.graph.RadarDisplay(radar)\n", "#display.plot(\"KDP_CSU\", 0,vmin=-1.5,vmax=4.,cmap=cm.gist_stern)\n", "display.plot(\"specific_differential_phase\", 0,vmin=-1.5,vmax=4.,cmap=cm.gist_stern)\n", "ax.plot([0,maxx],[melt_0604,melt_0604],'k:',lw=2)\n", "ax.set_xlim(0,maxx)\n", "ax.set_ylim(0,maxz)\n", "fig.patch.set_facecolor('white')\n", "fig.tight_layout()\n", "fig.savefig(\"example_defkdp.png\", dpi=200)\n", "#plt.close(fig)\n", "#fig.clf()" ] }, { "cell_type": "code", "execution_count": 184, "id": "8243ea13", "metadata": {}, "outputs": [], "source": [ "#..This is the main plotting routine\n", "#..\n", "maxx = 25\n", "maxz = 12\n", "#for idx in [236,]:\n", "for idx in csapr_idx3:\n", " fname = june4_csapr_files[idx]\n", " fig = plt.figure(figsize=(6, 18))\n", " gs = gridspec.GridSpec(4,1)\n", " #..\n", " radar = pyart.io.read(testpath+fname[:-3]+'_proc.nc')\n", " ax1 = fig.add_subplot(gs[0])\n", " display = pyart.graph.RadarDisplay(radar)\n", " display.plot(\"reflectivity\", 0,vmin=-10,vmax=64,cmap=pcm.LangRainbow12,ax=ax1)\n", " ax1.plot([0,maxx],[melt_0604,melt_0604],'k:',lw=2)\n", " ax1.set_xlim(0,maxx)\n", " ax1.set_ylim(0,maxz)\n", " #..\n", " ax2 = fig.add_subplot(gs[1])\n", " display = pyart.graph.RadarDisplay(radar)\n", " #display.plot(\"differential_reflectivity\", 0)\n", " #display.plot(\"differential_reflectivity\",0,vmin=-1,vmax=5,\n", " display.plot(\"attenuation_corrected_differential_reflectivity\",0,vmin=-1,vmax=5,\n", " cmap=pcm.BuOrR14, mask_tuple=['reflectivity', -5.],ax=ax2)\n", " #cmap=pcm.RefDiff)\n", " #cmap=pcm.RefDiff)\n", " ax2.plot([0,maxx],[melt_0604,melt_0604],'k:',lw=2)\n", " ax2.set_xlim(0,maxx)\n", " ax2.set_ylim(0,maxz)\n", " #..\n", " ax3 = fig.add_subplot(gs[2])\n", " display = pyart.graph.RadarDisplay(radar)\n", " display.plot(\"KDP_CSU\", 0,vmin=-1.5,vmax=4.,cmap=cm.gist_stern,ax=ax3)\n", " #display.plot(\"specific_differential_phase\", 0,vmin=-1.5,vmax=4.,cmap=cm.gist_stern)\n", " ax3.plot([0,maxx],[melt_0604,melt_0604],'k:',lw=2)\n", " ax3.set_xlim(0,maxx)\n", " ax3.set_ylim(0,maxz)\n", " #..\n", " #..\n", " #...\n", " # Setting projection and ploting the second tilt\n", " projection = ccrs.LambertConformal(central_latitude=csapr_lat,\n", " central_longitude=csapr_lon)\n", " ax4 = fig.add_subplot(gs[3],projection=projection)\n", " numba = int(fname[-9:-3])\n", " thing = min(enumerate(khgx_times), key=lambda x: abs(x[1]-numba))\n", " if (thing[1]>numba):\n", " nexidx = thing[0]-1\n", " else:\n", " nexidx = thing[0]\n", " radar = pyart.io.read(testpath+fname[:-3]+'_proc.nc')\n", " az = radar.azimuth['data'][0]\n", " csapr_lat = radar.latitude['data'][0]\n", " csapr_lon = radar.longitude['data'][0]\n", " del radar\n", " radar = read_nexrad_key(keys[nexidx])\n", " display = pyart.graph.RadarMapDisplay(radar)\n", "\n", " lon_off = .4\n", " lat_off = .3\n", " display.plot_ppi_map('reflectivity', 2, ax=ax4, vmin=-4, vmax=64,\n", " min_lon=csapr_lon-lon_off, max_lon=csapr_lon+lon_off, \n", " min_lat=csapr_lat-lat_off, max_lat=csapr_lat+lat_off,\n", " lon_lines=np.arange(-158, -154, .2), resolution='10m',\n", " lat_lines=np.arange(69, 72, .1), projection=projection,\n", " fig=fig, lat_0=csapr_lat,\n", " lon_0=csapr_lon)\n", " g = Geod(ellps='sphere')\n", " lon = csapr_lon\n", " lat = csapr_lat\n", " rng = 1000 *25\n", " lon2, lat2, _ = g.fwd(lon, lat, az, rng)\n", " plt.plot([csapr_lon, lon2], [csapr_lat, lat2], transform=ccrs.Geodetic(),c='r',lw=2)\n", " display.plot_point(csapr_lon, csapr_lat,c='r')\n", " #...\n", " #...\n", " fig.patch.set_facecolor('white')\n", " fig.tight_layout()\n", " fig.savefig('./csapr_figs/rhi_'+fname[:-3]+'.png', dpi=200)\n", " plt.close(fig)\n", " fig.clf()" ] }, { "cell_type": "code", "execution_count": 116, "id": "certified-parallel", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'attenuation_corrected_differential_reflectivity': {'_FillValue': -32767.0, 'long_name': 'Rainfall attenuation-corrected differential reflectivity', 'units': 'dB', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_reflectivity_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 7.9947205 , -1.9256239 , 5.012208 , ..., 10.270708 ,\n", " 1.2583165 , 30. ],\n", " [ 5.3105354 , 5.161753 , 20.91131 , ..., 30. ,\n", " -20. , -0.13336992],\n", " [ 0.54110956, 7.1684065 , 23.850332 , ..., -20. ,\n", " -0.13336992, -20. ],\n", " ...,\n", " [ 7.5926266 , 5.104529 , 4.34841 , ..., -2.1674905 ,\n", " 1.1194532 , 0.05050993],\n", " [ 8.233535 , 5.0877433 , 4.461332 , ..., -20. ,\n", " -0.13336992, 1.6489654 ],\n", " [ 13.138772 , 3.2893853 , 5.3433437 , ..., 0.89971304,\n", " -0.13336992, -0.13336992]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'attenuation_corrected_differential_reflectivity_lag_1': {'_FillValue': -32767.0, 'long_name': 'Differential reflectivity estimated at lag 1 corrected for rainfall attenuation.', 'units': 'dB', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_reflectivity_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 7.4219737e+00, -1.1981931e+00, 7.3689952e+00, ...,\n", " 7.3682981e+00, 2.7405286e-01, 6.2835932e-02],\n", " [ 4.8580914e+00, 6.2696905e+00, 2.2189045e+01, ...,\n", " 7.0190582e+00, -1.6708174e+00, -6.6771030e-01],\n", " [-1.5237808e-02, 8.9911146e+00, 2.5356606e+01, ...,\n", " 1.2813424e+00, 6.9354076e+00, -6.0915518e-01],\n", " ...,\n", " [-1.7412229e+00, 5.6973829e+00, 5.3983326e+00, ...,\n", " -5.1032691e+00, 6.9235573e+00, 7.6366763e+00],\n", " [ 1.0806327e+01, 4.6113224e+00, 5.5028958e+00, ...,\n", " -1.1919193e+00, 4.7361012e+00, 1.5218371e+00],\n", " [ 1.7585489e+01, -7.5681658e+00, 6.3679800e+00, ...,\n", " -5.9154272e-02, 1.0715195e+00, 5.8388910e+00]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'attenuation_corrected_reflectivity_h': {'_FillValue': -32767.0, 'long_name': 'Rainfall attenuation-corrected reflectivity, horizontal channel', 'units': 'dBZ', 'coordinates': 'elevation azimuth range', 'standard_name': 'equivalent_reflectivity_factor', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[16.42726707458496, 27.604021072387695, --, ...,\n", " -6.458559036254883, --, -3.880202054977417],\n", " [14.141201972961426, 28.207962036132812, --, ...,\n", " 1.148756980895996, --, --],\n", " [14.694812774658203, 20.881322860717773, --, ..., --, --, --],\n", " ...,\n", " [9.826518058776855, 15.658793449401855, 28.891263961791992, ...,\n", " -12.470855712890625, --, --],\n", " [3.4948301315307617, 13.643726348876953, 26.291614532470703, ...,\n", " --, --, --],\n", " [11.787385940551758, 7.9275922775268555, 20.76324462890625, ...,\n", " --, --, --]],\n", " mask=[[False, False, True, ..., False, True, False],\n", " [False, False, True, ..., False, True, True],\n", " [False, False, True, ..., True, True, True],\n", " ...,\n", " [False, False, False, ..., False, True, True],\n", " [False, False, False, ..., True, True, True],\n", " [False, False, False, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'censor_mask': {'long_name': 'Censor Mask', 'units': '1', 'flag_masks': array([ 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024,\n", " 2048], dtype=int32), 'flag_meanings': 'horizontal_snr_below_noise_threshold vertical_snr_below_noise_threshold horizontal_ccor_below_ccor_threshold vertical_ccor_below_ccor_threshold horizontal_sqi_below_sqi1_threshold vertical_sqi_below_sqi1_threshold horizontal_sqi_below_sqi2_threshold vertical_sqi_below_sqi2_threshold horizontal_sigpow_below_sigpow_threshold vertical_sigpow_below_sigpow_threshold urhohv_below_rhohv_threshold censored_by_clutter_micro_suppression', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_quality_mask', 'data': masked_array(\n", " data=[[120, 0, 120, ..., 120, 120, 120],\n", " [120, 0, 0, ..., 120, 120, 120],\n", " [120, 0, 0, ..., 120, 120, 120],\n", " ...,\n", " [ 48, 0, 0, ..., 120, 120, 120],\n", " [ 48, 0, 0, ..., 120, 120, 120],\n", " [120, 16, 0, ..., 120, 120, 120]],\n", " mask=False,\n", " fill_value=999999,\n", " dtype=int32)}, 'classification_mask': {'long_name': 'Classification Mask', 'units': '1', 'flag_masks': array([ 1, 2, 4, 8, 16], dtype=int32), 'flag_meanings': 'second_trip third_trip interference clutter sunspoke', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_quality_mask', 'data': masked_array(\n", " data=[[ 8, 8, 8, ..., 8, 8, 8],\n", " [ 8, 8, 8, ..., 8, 8, 8],\n", " [ 8, 8, 8, ..., 8, 8, 8],\n", " ...,\n", " [ 8, 8, 8, ..., 8, 8, 8],\n", " [ 8, 8, 8, ..., 8, 8, 8],\n", " [12, 8, 8, ..., 8, 8, 8]],\n", " mask=False,\n", " fill_value=999999,\n", " dtype=int32)}, 'copol_correlation_coeff': {'_FillValue': -32767.0, 'long_name': 'Copolar correlation coefficient (also known as rhohv)', 'units': '1', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_correlation_coefficient_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[0.77641165, 0.90934736, 0.701928 , ..., 0.09605241, 0.05771995,\n", " 0.08711377],\n", " [0.782025 , 0.8492937 , 0.9505475 , ..., 0.17283937, 0.11367038,\n", " 0.11100098],\n", " [0.5983099 , 0.49237314, 0.8781231 , ..., 0.19483516, 0.16237533,\n", " 0.07082283],\n", " ...,\n", " [0.2189512 , 0.8261844 , 0.9990084 , ..., 0.27095094, 0.02463475,\n", " 0.18701002],\n", " [0.12369204, 0.6376338 , 0.9973153 , ..., 0.17656127, 0.08993569,\n", " 0.1598585 ],\n", " [0.18225086, 0.45544404, 0.9883156 , ..., 0.11005527, 0.08432233,\n", " 0.02492455]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'differential_phase': {'_FillValue': -32767.0, 'long_name': 'Differential propagation phase shift', 'units': 'degree', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_phase_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ -19.6472 , 113.79336 , -178.72552 , ..., -68.802284,\n", " 107.04744 , -125.15923 ],\n", " [ -4.25465 , 111.40921 , -173.87485 , ..., 50.67401 ,\n", " -14.038424, -128.46077 ],\n", " [ 60.974167, 17.241085, -170.50737 , ..., -96.642914,\n", " -118.54516 , 99.906 ],\n", " ...,\n", " [ 112.64523 , 124.934006, 132.75662 , ..., -65.31946 ,\n", " 96.41768 , 14.137305],\n", " [ -69.34613 , 135.75603 , 126.14805 , ..., 24.942854,\n", " -144.75974 , 137.14037 ],\n", " [ 78.24546 , 99.906 , 106.67389 , ..., 79.47599 ,\n", " -63.2814 , -27.101765]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'differential_reflectivity': {'_FillValue': -32767.0, 'long_name': 'Differential reflectivity', 'units': 'dB', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_reflectivity_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 7.9948726 , -3.4053593 , 5.012513 , ..., 10.270402 ,\n", " -0.13367516, 20. ],\n", " [ 5.310383 , 3.7136056 , 20. , ..., 20. ,\n", " -20. , -0.13367516],\n", " [ -0.2508698 , 6.9443936 , 20. , ..., -20. ,\n", " -0.13367516, -20. ],\n", " ...,\n", " [ 6.127693 , 3.480437 , 2.62162 , ..., -2.1674907 ,\n", " -0.13367516, -0.13367516],\n", " [ 8.233535 , 3.3229568 , 2.821217 , ..., -20. ,\n", " -0.13367516, -0.13367516],\n", " [ 12.122322 , 1.9898676 , 3.9571507 , ..., -0.13367516,\n", " -0.13367516, -0.13367516]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'differential_reflectivity_lag_1': {'_FillValue': -32767.0, 'long_name': 'Differential reflectivity estimated at lag 1', 'units': 'dB', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_reflectivity_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 7.421835 , -2.677158 , 7.369232 , ..., 7.3678484 ,\n", " -1.1177702 , 0.06301808],\n", " [ 4.858154 , 4.8207784 , 22.18861 , ..., 6.360094 ,\n", " -1.670789 , -0.66788006],\n", " [-0.8083842 , 8.767352 , 25.35722 , ..., 1.2818741 ,\n", " 6.9352617 , -1.9081924 ],\n", " ...,\n", " [-3.2045677 , 4.073269 , 3.6725206 , ..., -5.1031036 ,\n", " 5.6707244 , 7.452981 ],\n", " [10.806393 , 2.846107 , 3.8628588 , ..., -1.5164421 ,\n", " 4.7363377 , -0.26159477],\n", " [16.568445 , -8.866953 , 4.9813547 , ..., -1.0921609 ,\n", " 1.071464 , 5.838914 ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'mean_doppler_velocity': {'_FillValue': -32767.0, 'long_name': 'Radial mean Doppler velocity, positive for motion away from the instrument', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radial_velocity_of_scatterers_away_from_instrument', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[-1.07711904e-01, 1.22308373e-01, -3.72461714e-02, ...,\n", " 1.30547829e+01, 1.36904850e+01, -3.79306960e+00],\n", " [ 6.03991980e-03, 1.60057873e-01, -3.47295403e-02, ...,\n", " -1.21201057e+01, -9.88785172e+00, -9.44593143e+00],\n", " [ 6.59357905e-02, -5.53659312e-02, -4.58027236e-02, ...,\n", " 6.92476797e+00, 1.44515152e+01, -1.76214659e+00],\n", " ...,\n", " [ 9.88785172e+00, 4.43934113e-01, 5.48626035e-02, ...,\n", " 1.71181393e+00, 5.78120995e+00, -9.25416374e+00],\n", " [-2.41999459e+00, -1.63832819e+00, 4.37894203e-02, ...,\n", " 2.10138869e+00, -1.56720819e+01, -1.62901669e+01],\n", " [ 1.39169824e+00, 1.36326027e+01, 7.29823634e-02, ...,\n", " 4.79368305e+00, -1.19555178e+01, -1.38550730e+01]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'mean_doppler_velocity_v': {'_FillValue': -32767.0, 'long_name': 'Doppler velocity, vertical channel', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radial_velocity_of_scatterers_away_from_instrument', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 2.91920546e-02, -4.52980166e-03, -1.19284771e-01, ...,\n", " 6.92556334e+00, 2.95846367e+00, -1.14603984e+00],\n", " [ 1.10728480e-02, 2.51655638e-01, 1.56026501e-02, ...,\n", " 1.13823843e+01, 4.46437120e-01, -1.34998150e+01],\n", " [ 4.98278178e-02, 9.35655653e-01, -1.52503312e-01, ...,\n", " 3.64800024e+00, 3.30927157e+00, 1.47017221e+01],\n", " ...,\n", " [-2.66855645e+00, 1.17271528e-01, 6.64370880e-02, ...,\n", " -5.17051697e+00, 1.11302261e+01, 1.37655640e+00],\n", " [ 9.33894062e+00, -9.04450357e-01, 7.19735101e-02, ...,\n", " -1.97197366e+00, 7.63321877e+00, 6.42325878e+00],\n", " [ 8.94686127e+00, -2.65245050e-01, 1.24317884e-01, ...,\n", " 5.70956326e+00, -1.41279478e+01, -9.92781544e+00]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'normalized_coherent_power': {'_FillValue': -32767.0, 'long_name': 'Normalized coherent power, also known as SQI.', 'units': '1', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_normalized_coherent_power', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[0.66270024, 0.9091381 , 0.99786425, ..., 0.05473688, 0.09749815,\n", " 0.05292147],\n", " [0.67841345, 0.9000305 , 0.9979253 , ..., 0.18918386, 0.14019838,\n", " 0.11167052],\n", " [0.54491234, 0.8916552 , 0.99896264, ..., 0.1160031 , 0.25136542,\n", " 0.08921438],\n", " ...,\n", " [0.01704049, 0.736476 , 0.99438596, ..., 0.07334864, 0.20057976,\n", " 0.19491994],\n", " [0.18099165, 0.48834482, 0.98308164, ..., 0.16393596, 0.2995271 ,\n", " 0.13531661],\n", " [0.24010682, 0.035698 , 0.9503585 , ..., 0.16660568, 0.10051873,\n", " 0.12968731]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'normalized_coherent_power_v': {'_FillValue': -32767.0, 'long_name': 'Normalized coherent power, also known as SQI, Vertical Channel', 'units': '1', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_normalized_coherent_power', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[0.9653431 , 0.981558 , 0.74043965, ..., 0.01337782, 0.17099634,\n", " 0.07457647],\n", " [0.96119404, 0.89037025, 0.949296 , ..., 0.06759018, 0.19311449,\n", " 0.16974553],\n", " [0.7908995 , 0.74809706, 0.9014293 , ..., 0.09515396, 0.07018334,\n", " 0.13380733],\n", " ...,\n", " [0.18650955, 0.820248 , 0.9967509 , ..., 0.2903886 , 0.06472245,\n", " 0.03124014],\n", " [0.1277363 , 0.6957152 , 0.9872782 , ..., 0.24375746, 0.14353934,\n", " 0.17432171],\n", " [0.11010277, 0.555059 , 0.9584179 , ..., 0.1641626 , 0.12088728,\n", " 0.03496209]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'reflectivity': {'_FillValue': -32767.0, 'long_name': 'Equivalent reflectivity factor', 'units': 'dBZ', 'coordinates': 'elevation azimuth range', 'standard_name': 'equivalent_reflectivity_factor', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'reflectivity_v': {'_FillValue': -32767.0, 'long_name': 'Equivalent reflectivity factor, vertical channel', 'units': 'dBZ', 'coordinates': 'elevation azimuth range', 'standard_name': 'equivalent_reflectivity_factor', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[9.025615692138672, 23.297189712524414, 33.68834686279297, ...,\n", " -16.13416862487793, -80.0, -80.0],\n", " [9.424535751342773, 16.954978942871094, 18.087745666503906, ...,\n", " -80.0, -10.451138496398926, -80.0],\n", " [11.090620040893555, 13.270822525024414, 14.951837539672852, ...,\n", " -13.670242309570312, -80.0, -4.0662617683410645],\n", " ...,\n", " [-3.931865692138672, 3.6519079208374023, 17.168306350708008, ...,\n", " -9.708760261535645, -80.0, -80.0],\n", " [-4.145192623138428, 1.0045204162597656, 14.857975006103516, ...,\n", " -42.93444061279297, -80.0, -80.0],\n", " [-5.452887058258057, -0.7596940994262695, 9.612264633178711, ...,\n", " -80.0, -80.0, -80.0]],\n", " mask=[[False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " ...,\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'signal_to_noise_ratio_copolar_h': {'_FillValue': -32767.0, 'long_name': 'Signal-to-noise ratio, horizontal channel', 'units': 'dB', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_signal_to_noise_ratio_copolar_h', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 80.765976 , 74.09652 , 88.46573 , ..., -10.699484 ,\n", " -31.999998 , -8.143652 ],\n", " [ 78.48147 , 74.87067 , 88.763626 , ..., -6.7926846,\n", " -31.999998 , -31.999998 ],\n", " [ 74.58605 , 74.41908 , 88.56629 , ..., -31.999998 ,\n", " -31.999998 , -31.999998 ],\n", " ...,\n", " [ 65.943275 , 61.336323 , 69.55408 , ..., -16.712431 ,\n", " -31.999998 , -31.999998 ],\n", " [ 67.83691 , 58.531925 , 67.44224 , ..., -31.999998 ,\n", " -31.999998 , -31.999998 ],\n", " [ 70.41361 , 55.433426 , 63.334312 , ..., -31.999998 ,\n", " -31.999998 , -31.999998 ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'signal_to_noise_ratio_copolar_v': {'_FillValue': -32767.0, 'long_name': 'Signal-to-noise ratio, vertical channel', 'units': 'dB', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_signal_to_noise_ratio_copolar_v', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 72.63805 , 77.36559 , 83.320854, ..., -21.105257, -32. ,\n", " -32. ],\n", " [ 73.0371 , 71.022736, 67.71956 , ..., -32. , -15.434492,\n", " -32. ],\n", " [ 74.703964, 67.33769 , 64.582504, ..., -18.642199, -32. ,\n", " -9.053446],\n", " ...,\n", " [ 59.681206, 57.720303, 66.799255, ..., -14.678389, -32. ,\n", " -32. ],\n", " [ 59.467354, 55.073944, 64.48704 , ..., -32. , -32. ,\n", " -32. ],\n", " [ 58.157543, 53.309708, 59.242054, ..., -32. , -32. ,\n", " -32. ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'specific_differential_phase': {'_FillValue': -32767.0, 'long_name': 'Specific differential phase (KDP)', 'units': 'degree/km', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_specific_differential_phase_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ -5.2270646, -5.2838306, -5.3131294, ..., 0. ,\n", " 0. , 0. ],\n", " [ -1.9767442, -2.203351 , -2.4020326, ..., 0. ,\n", " 0. , 0. ],\n", " [ 15. , 15. , 15. , ..., 0. ,\n", " 0. , 0. ],\n", " ...,\n", " [ 2.1713057, 2.1323934, 2.0916498, ..., 0. ,\n", " 0. , 0. ],\n", " [-15. , -15. , -15. , ..., 0. ,\n", " 0. , 0. ],\n", " [ 2.812214 , 2.8552463, 2.9097235, ..., 0. ,\n", " 0. , 0. ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'spectral_width': {'_FillValue': -32767.0, 'long_name': 'Spectral width', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_doppler_spectrum_width', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 4.7619495, 2.2914329, 16.492 , ..., 4.4503055, 7.9458027,\n", " 7.12607 ],\n", " [ 4.6243634, 2.4093995, 16.492 , ..., 2.2172318, 6.2288666,\n", " 5.601553 ],\n", " [ 5.784666 , 2.5142875, 16.492 , ..., 1.9264641, 4.1872063,\n", " 4.947075 ],\n", " ...,\n", " [14.982073 , 4.106214 , 0.556386 , ..., 8.3228445, 4.6107807,\n", " 8.422954 ],\n", " [ 9.706002 , 6.2852087, 0.9693966, ..., 2.2881627, 14.1215925,\n", " 5.1840153],\n", " [ 8.867405 , 13.553137 , 1.6751866, ..., 9.45548 , 5.9164677,\n", " 8.558527 ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'spectral_width_v': {'_FillValue': -32767.0, 'long_name': 'Spectral Width, Vertical Channel', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_doppler_spectrum_width', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 1.3943133 , 1.0127211 , 4.0699897 , ..., 5.522155 ,\n", " 3.921327 , 14.714336 ],\n", " [ 1.4770718 , 2.5297842 , 1.6933994 , ..., 6.3474717 ,\n", " 10.3336935 , 4.8641148 ],\n", " [ 3.595829 , 3.9998088 , 2.3916864 , ..., 10.377462 ,\n", " 9.12276 , 3.2441702 ],\n", " ...,\n", " [ 9.620565 , 3.3045406 , 0.4225979 , ..., 10.953751 ,\n", " 4.486044 , 10.47808 ],\n", " [10.649633 , 4.471706 , 0.83965826, ..., 16.491749 ,\n", " 2.5411038 , 2.5390916 ],\n", " [11.027452 , 5.6962233 , 1.5301476 , ..., 2.8754063 ,\n", " 8.714503 , 10.357339 ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_copol_correlation_coeff': {'_FillValue': -32767.0, 'long_name': 'Uncorrected copolar correlation coefficient', 'units': '1', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_correlation_coefficient_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[0.77641165, 0.90934736, 0.701928 , ..., 0.09605241, 0.05771995,\n", " 0.08711377],\n", " [0.782025 , 0.8492937 , 0.9505475 , ..., 0.17283937, 0.11367038,\n", " 0.11100098],\n", " [0.5983099 , 0.49237314, 0.8781231 , ..., 0.19483516, 0.16237533,\n", " 0.07082283],\n", " ...,\n", " [0.2189512 , 0.8261844 , 0.9990084 , ..., 0.27095094, 0.02463475,\n", " 0.18701002],\n", " [0.12369204, 0.6376338 , 0.9973153 , ..., 0.17656127, 0.08993569,\n", " 0.1598585 ],\n", " [0.18225086, 0.45544404, 0.9883156 , ..., 0.11005527, 0.08432233,\n", " 0.02492455]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_differential_phase': {'_FillValue': -32767.0, 'long_name': 'Uncorrected Differential Phase', 'units': 'degree', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_phase_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ -19.6472 , 113.79336 , -178.72552 , ..., -68.802284,\n", " 107.04744 , -125.15923 ],\n", " [ -4.25465 , 111.40921 , -173.87485 , ..., 50.67401 ,\n", " -14.038424, -128.46077 ],\n", " [ 60.974167, 17.241085, -170.50737 , ..., -96.642914,\n", " -118.54516 , 99.906 ],\n", " ...,\n", " [ 112.64523 , 124.934006, 132.75662 , ..., -65.31946 ,\n", " 96.41768 , 14.137305],\n", " [ -69.34613 , 135.75603 , 126.14805 , ..., 24.942854,\n", " -144.75974 , 137.14037 ],\n", " [ 78.24546 , 99.906 , 106.67389 , ..., 79.47599 ,\n", " -63.2814 , -27.101765]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_differential_reflectivity': {'_FillValue': -32767.0, 'long_name': 'Uncorrected Differential Reflectivity, Vertical Channel', 'units': 'dBZ', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_reflectivity_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 7.9948726 , -3.405054 , 5.0128183 , ..., 10.270097 ,\n", " -0.13367516, 30. ],\n", " [ 5.310383 , 3.7136056 , 20.911005 , ..., 30. ,\n", " -30. , -0.13367516],\n", " [ -0.2508698 , 6.9437833 , 23.850027 , ..., -30. ,\n", " -0.13367516, -30. ],\n", " ...,\n", " [ 6.1279984 , 3.4801319 , 2.6213148 , ..., -2.1671855 ,\n", " -0.13367516, -0.13367516],\n", " [ 8.232924 , 3.3226516 , 2.820912 , ..., -30. ,\n", " -0.13367516, -0.13367516],\n", " [ 12.122322 , 1.9895624 , 3.9571507 , ..., -0.13367516,\n", " -0.13367516, -0.13367516]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_differential_reflectivity_lag_1': {'_FillValue': -32767.0, 'long_name': 'Uncorrected differential reflectivity estimated at lag 1', 'units': 'dB', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_differential_reflectivity_hv', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 7.421835 , -2.677158 , 7.369232 , ..., 7.3678484 ,\n", " -1.1177702 , 0.06301808],\n", " [ 4.858154 , 4.8207784 , 22.18861 , ..., 6.360094 ,\n", " -1.670789 , -0.66788006],\n", " [-0.8083842 , 8.767352 , 25.35722 , ..., 1.2818741 ,\n", " 6.9352617 , -1.9081924 ],\n", " ...,\n", " [-3.2045677 , 4.073269 , 3.6725206 , ..., -5.1031036 ,\n", " 5.6707244 , 7.452981 ],\n", " [10.806393 , 2.846107 , 3.8628588 , ..., -1.5164421 ,\n", " 4.7363377 , -0.26159477],\n", " [16.568445 , -8.866953 , 4.9813547 , ..., -1.0921609 ,\n", " 1.071464 , 5.838914 ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_mean_doppler_velocity_h': {'_FillValue': -32767.0, 'long_name': 'Radial mean Doppler velocity from horizontal channel, positive for motion away from the instrument, uncorrected', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radial_velocity_of_scatterers_away_from_instrument', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[-1.07711904e-01, 1.22308373e-01, -3.72461714e-02, ...,\n", " 1.30547829e+01, 1.36904850e+01, -3.79306960e+00],\n", " [ 6.03991980e-03, 1.60057873e-01, -3.47295403e-02, ...,\n", " -1.21201057e+01, -9.88785172e+00, -9.44593143e+00],\n", " [ 6.59357905e-02, -5.53659312e-02, -4.58027236e-02, ...,\n", " 6.92476797e+00, 1.44515152e+01, -1.76214659e+00],\n", " ...,\n", " [ 9.88785172e+00, 4.43934113e-01, 5.48626035e-02, ...,\n", " 1.71181393e+00, 5.78120995e+00, -9.25416374e+00],\n", " [-2.41999459e+00, -1.63832819e+00, 4.37894203e-02, ...,\n", " 2.10138869e+00, -1.56720819e+01, -1.62901669e+01],\n", " [ 1.39169824e+00, 1.36326027e+01, 7.29823634e-02, ...,\n", " 4.79368305e+00, -1.19555178e+01, -1.38550730e+01]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_mean_doppler_velocity_v': {'_FillValue': -32767.0, 'long_name': 'Radial mean Doppler velocity from vertical channel, positive for motion away from the instrument, uncorrected', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radial_velocity_of_scatterers_away_from_instrument', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 2.91920546e-02, -4.52980166e-03, -1.19284771e-01, ...,\n", " 6.92556334e+00, 2.95846367e+00, -1.14603984e+00],\n", " [ 1.10728480e-02, 2.51655638e-01, 1.56026501e-02, ...,\n", " 1.13823843e+01, 4.46437120e-01, -1.34998150e+01],\n", " [ 4.98278178e-02, 9.35655653e-01, -1.52503312e-01, ...,\n", " 3.64800024e+00, 3.30927157e+00, 1.47017221e+01],\n", " ...,\n", " [-2.66855645e+00, 1.17271528e-01, 6.64370880e-02, ...,\n", " -5.17051697e+00, 1.11302261e+01, 1.37655640e+00],\n", " [ 9.33894062e+00, -9.04450357e-01, 7.19735101e-02, ...,\n", " -1.97197366e+00, 7.63321877e+00, 6.42325878e+00],\n", " [ 8.94686127e+00, -2.65245050e-01, 1.24317884e-01, ...,\n", " 5.70956326e+00, -1.41279478e+01, -9.92781544e+00]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_reflectivity_h': {'_FillValue': -32767.0, 'long_name': 'Uncorrected Reflectivity, Horizontal Channel', 'units': 'dBZ', 'coordinates': 'elevation azimuth range', 'standard_name': 'equivalent_reflectivity_factor', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[16.42726707458496, 19.297916412353516, 38.10715103149414, ...,\n", " -6.458559036254883, --, -3.880202054977417],\n", " [14.141201972961426, 20.074132919311523, 38.407188415527344, ...,\n", " -2.5503733158111572, --, --],\n", " [10.244629859924316, 19.621179580688477, 38.20780944824219, ...,\n", " --, --, --],\n", " ...,\n", " [1.601711630821228, 6.539691925048828, 19.199195861816406, ...,\n", " -12.470855712890625, --, --],\n", " [3.4948301315307617, 3.7348573207855225, 17.083471298217773, ...,\n", " --, --, --],\n", " [6.073187828063965, 0.6357954144477844, 12.975908279418945, ...,\n", " --, --, --]],\n", " mask=[[False, False, False, ..., False, True, False],\n", " [False, False, False, ..., False, True, True],\n", " [False, False, False, ..., True, True, True],\n", " ...,\n", " [False, False, False, ..., False, True, True],\n", " [False, False, False, ..., True, True, True],\n", " [False, False, False, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'uncorrected_reflectivity_v': {'_FillValue': -32767.0, 'long_name': 'Uncorrected Reflectivity, Vertical Channel', 'units': 'dBZ', 'coordinates': 'elevation azimuth range', 'standard_name': 'equivalent_reflectivity_factor', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[9.023921966552734, 23.298072814941406, 33.68947982788086, ...,\n", " -16.134798049926758, --, --],\n", " [9.425077438354492, 16.955028533935547, 18.08856964111328, ...,\n", " --, -10.452371597290039, --],\n", " [11.092266082763672, 13.269180297851562, 14.951089859008789, ...,\n", " -13.670818328857422, --, -4.0651631355285645],\n", " ...,\n", " [-3.9289910793304443, 3.6543240547180176, 17.168487548828125,\n", " ..., -9.70710563659668, --, --],\n", " [-4.144289970397949, 1.004488229751587, 14.8572416305542, ...,\n", " -42.93310546875, --, --],\n", " [-5.450806617736816, -0.7565485835075378, 9.612774848937988, ...,\n", " --, --, --]],\n", " mask=[[False, False, False, ..., False, True, True],\n", " [False, False, False, ..., True, False, True],\n", " [False, False, False, ..., False, True, False],\n", " ...,\n", " [False, False, False, ..., False, True, True],\n", " [False, False, False, ..., False, True, True],\n", " [False, False, False, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'uncorrected_spectral_width_h': {'_FillValue': -32767.0, 'long_name': 'Uncorrected Spectral Width, Horizontal Channel', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_doppler_spectrum_width', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 4.7619495, 2.2914329, 16.492 , ..., 4.4503055, 7.9458027,\n", " 7.12607 ],\n", " [ 4.6243634, 2.4093995, 16.492 , ..., 2.2172318, 6.2288666,\n", " 5.601553 ],\n", " [ 5.784666 , 2.5142875, 16.492 , ..., 1.9264641, 4.1872063,\n", " 4.947075 ],\n", " ...,\n", " [14.982073 , 4.106214 , 0.556386 , ..., 8.3228445, 4.6107807,\n", " 8.422954 ],\n", " [ 9.706002 , 6.2852087, 0.9693966, ..., 2.2881627, 14.1215925,\n", " 5.1840153],\n", " [ 8.867405 , 13.553137 , 1.6751866, ..., 9.45548 , 5.9164677,\n", " 8.558527 ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'uncorrected_spectral_width_v': {'_FillValue': -32767.0, 'long_name': 'Uncorrected Spectral Width, Vertical Channel', 'units': 'm/s', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_doppler_spectrum_width', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[ 1.3943133 , 1.0127211 , 4.0699897 , ..., 5.522155 ,\n", " 3.921327 , 14.714336 ],\n", " [ 1.4770718 , 2.5297842 , 1.6933994 , ..., 6.3474717 ,\n", " 10.3336935 , 4.8641148 ],\n", " [ 3.595829 , 3.9998088 , 2.3916864 , ..., 10.377462 ,\n", " 9.12276 , 3.2441702 ],\n", " ...,\n", " [ 9.620565 , 3.3045406 , 0.4225979 , ..., 10.953751 ,\n", " 4.486044 , 10.47808 ],\n", " [10.649633 , 4.471706 , 0.83965826, ..., 16.491749 ,\n", " 2.5411038 , 2.5390916 ],\n", " [11.027452 , 5.6962233 , 1.5301476 , ..., 2.8754063 ,\n", " 8.714503 , 10.357339 ]],\n", " mask=False,\n", " fill_value=1e+20,\n", " dtype=float32)}, 'unthresholded_power_copolar_h': {'_FillValue': -32767.0, 'long_name': 'Received copolar power, h channel, without thresholding.', 'units': 'dBm', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_received_signal_power_copolar_h', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[92.1434326171875, 85.47286987304688, --, ...,\n", " 0.6775398254394531, 6.109123229980469, 3.234241485595703],\n", " [89.85831451416016, 86.2474365234375, --, ..., 5.358661651611328,\n", " 4.818717956542969, 3.549205780029297],\n", " [85.96461486816406, 85.79588317871094, --, ...,\n", " 1.8667030334472656, 6.031986236572266, 2.244342803955078],\n", " ...,\n", " [77.3206787109375, 72.715087890625, 80.93156433105469, ...,\n", " 5.580425262451172, 5.520969390869141, 7.547367095947266],\n", " [79.21369934082031, 69.90930938720703, 78.81999206542969, ...,\n", " 3.216564178466797, 21.820531845092773, 3.9445228576660156],\n", " [81.79129028320312, 66.8110580444336, 74.71095275878906, ...,\n", " 7.982856750488281, 3.4045791625976562, 6.5462188720703125]],\n", " mask=[[False, False, True, ..., False, False, False],\n", " [False, False, True, ..., False, False, False],\n", " [False, False, True, ..., False, False, False],\n", " ...,\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'unthresholded_power_copolar_v': {'_FillValue': -32767.0, 'long_name': 'Received copolar power, v channel, without thresholding', 'units': 'dBm', 'coordinates': 'elevation azimuth range', 'standard_name': 'radar_received_signal_power_copolar_v', 'unpacking_details': 'Can be unpacked as follows: multiply packed values by scale_factor field attribute, then add the add_offset field attribute.', 'data': masked_array(\n", " data=[[84.04740905761719, 88.77720642089844, 94.72994232177734, ...,\n", " -4.888935089111328, 4.424873352050781, 17.192081451416016],\n", " [84.44749450683594, 82.43409729003906, 79.12971496582031, ...,\n", " 2.745147705078125, 12.807302474975586, 4.567417144775391],\n", " [86.11588287353516, 78.74906921386719, 75.9937973022461, ...,\n", " 9.741033554077148, 5.233150482177734, 4.015068054199219],\n", " ...,\n", " [71.09392547607422, 69.13235473632812, 78.20967102050781, ...,\n", " 15.641939163208008, 0.7187881469726562, 4.1154937744140625],\n", " [70.87849426269531, 66.48399353027344, 75.89823150634766, ...,\n", " 47.05458068847656, 2.840717315673828, 3.5566673278808594],\n", " [69.5697021484375, 64.72166442871094, 70.65171813964844, ...,\n", " 3.6408958435058594, 6.517646789550781, 4.350364685058594]],\n", " mask=[[False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " ...,\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'FDP_CSU': {'_FillValue': -32767.0, 'long_name': 'Filtered Differential Phase', 'units': 'deg', 'standard_name': 'Filtered Differential Phase', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'SDP_CSU': {'_FillValue': -32767.0, 'long_name': 'Standard Deviation of Differential Phase', 'units': 'deg', 'standard_name': 'Std Dev Differential Phase', 'data': masked_array(\n", " data=[[100.0, 100.0, --, ..., 100.0, 100.0, 100.0],\n", " [100.0, 100.0, --, ..., 100.0, 100.0, 100.0],\n", " [100.0, 100.0, --, ..., 100.0, 100.0, 100.0],\n", " ...,\n", " [100.0, 100.0, 100.0, ..., 100.0, 100.0, 100.0],\n", " [100.0, 100.0, 100.0, ..., 100.0, 100.0, 100.0],\n", " [100.0, 100.0, 100.0, ..., 100.0, 100.0, 100.0]],\n", " mask=[[False, False, True, ..., False, False, False],\n", " [False, False, True, ..., False, False, False],\n", " [False, False, True, ..., False, False, False],\n", " ...,\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False],\n", " [False, False, False, ..., False, False, False]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'KDP_CSU': {'_FillValue': -32767.0, 'long_name': 'Specific Differential Phase', 'units': 'deg km-1', 'standard_name': 'KDP', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'FH': {'_FillValue': -32767.0, 'long_name': 'Hydrometeor ID', 'units': 'unitless', 'standard_name': 'Hydrometeor ID', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'rain': {'_FillValue': -32767.0, 'long_name': 'Rainfall Rate', 'units': 'mm h-1', 'standard_name': 'Rainfall Rate', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'method': {'_FillValue': -32767, 'long_name': 'Rainfall Method', 'units': '', 'standard_name': 'Rainfall Method', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767,\n", " dtype=int16)}, 'D0': {'_FillValue': -32767.0, 'long_name': 'Median Volume Diameter', 'units': 'mm', 'standard_name': 'Median Volume Diameter', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'NW': {'_FillValue': -32767.0, 'long_name': 'Normalized Intercept Parameter', 'units': 'mm-1 m-3', 'standard_name': 'Normalized Intercept Parameter', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}, 'MU': {'_FillValue': -32767.0, 'long_name': 'Mu', 'units': ' ', 'standard_name': 'Mu', 'data': masked_array(\n", " data=[[--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " ...,\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --],\n", " [--, --, --, ..., --, --, --]],\n", " mask=[[ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " ...,\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True],\n", " [ True, True, True, ..., True, True, True]],\n", " fill_value=-32767.0,\n", " dtype=float32)}}\n" ] } ], "source": [ "print(radar.fields)" ] }, { "cell_type": "code", "execution_count": 114, "id": "laughing-mistake", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "29.152222\n" ] } ], "source": [ "print(radar.azimuth['data'][0])" ] }, { "cell_type": "markdown", "id": "another-block", "metadata": {}, "source": [ "### Download NEXRAD (run this before 4.1)" ] }, { "cell_type": "code", "execution_count": 126, "id": "suspended-electronics", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Found 35 keys.\n" ] } ], "source": [ "#del keys\n", "keys = get_nexrad_keys('KHGX',start='20220604_210000',end='20220604_235000')\n", "for key in keys:\n", " fname = os.path.split(str(key))[1][:-1]\n", " radar = read_nexrad_key(key)\n", " fnams = fname[0:4]+'_'+fname[-3:]+'_'+fname[4:8]+'_'+fname[8:12]+'_'+fname[13:19]+'.nc'\n", " pyart.io.write_cfradial(fnams,radar)" ] }, { "cell_type": "code", "execution_count": 127, "id": "unusual-garden", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "234533\n" ] } ], "source": [ "print(int(fname[13:19]))" ] }, { "cell_type": "code", "execution_count": 128, "id": "packed-stick", "metadata": {}, "outputs": [], "source": [ "#..Get times for each nexrad\n", "khgx_times = []\n", "for key in keys:\n", " fname = os.path.split(str(key))[1][:-1]\n", " khgx_times = np.r_[khgx_times,int(fname[13:19])]" ] }, { "cell_type": "code", "execution_count": 144, "id": "charged-orchestra", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "210950\n", "(2, 211028.0)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#..Test out plot of nexrad with line showing closest (after) CSAPR RHI direction\n", "idx = 243\n", "fname = june4_csapr_files[idx]\n", "numba = int(fname[-9:-3])\n", "print(numba)\n", "thing = min(enumerate(khgx_times), key=lambda x: abs(x[1]-numba))\n", "print(thing)\n", "if (thing[1]>numba):\n", " nexidx = thing[0]-1\n", "else:\n", " nexidx = thing[0]\n", "radar = pyart.io.read(testpath+fname[:-3]+'_proc.nc')\n", "az = radar.azimuth['data'][0]\n", "csapr_lat = radar.latitude['data'][0]\n", "csapr_lon = radar.longitude['data'][0]\n", "del radar\n", "radar = read_nexrad_key(keys[nexidx])\n", "display = pyart.graph.RadarMapDisplay(radar)\n", "\n", "# Setting projection and ploting the second tilt\n", "projection = ccrs.LambertConformal(central_latitude=csapr_lat,\n", " central_longitude=csapr_lon)\n", "fig = plt.figure(figsize=(6,6))\n", "lon_off = .4\n", "lat_off = .3\n", "display.plot_ppi_map('reflectivity', 2, vmin=-4, vmax=64,\n", " min_lon=csapr_lon-lon_off, max_lon=csapr_lon+lon_off, \n", " min_lat=csapr_lat-lat_off, max_lat=csapr_lat+lat_off,\n", " lon_lines=np.arange(-158, -154, .2), resolution='10m',\n", " lat_lines=np.arange(69, 72, .1), projection=projection,\n", " fig=fig, lat_0=csapr_lat,\n", " lon_0=csapr_lon)\n", "\n", "g = Geod(ellps='sphere')\n", "lon = csapr_lon\n", "lat = csapr_lat\n", "rng = 1000 *25\n", "\n", "lon2, lat2, _ = g.fwd(lon, lat, az, rng)\n", "plt.plot([csapr_lon, lon2], [csapr_lat, lat2], transform=ccrs.Geodetic(),c='r',lw=2)\n", "display.plot_point(csapr_lon, csapr_lat,c='r')\n", "fig.patch.set_facecolor('white')\n", "fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 131, "id": "local-stylus", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "29.471900939941406\n" ] } ], "source": [ "print(radar.latitude['data'][0])" ] }, { "cell_type": "markdown", "id": "secret-things", "metadata": {}, "source": [ "## Load lightning to plot with RHIs (incomplete)" ] }, { "cell_type": "code", "execution_count": 187, "id": "academic-british", "metadata": {}, "outputs": [], "source": [ "import sys\n", "sys.path.append(\"./LMAinterceptRHI/\")\n", "# Functions\n", "from radarlma2local import geo_to_tps\n", "from select_lma import one_flash\n", "from plot_radar import plot_locs_lma_rhi, plot_RHI_EDR_panel,plot_EDR_dVR, plot_sources_interp\n", "from ortho_proj import rot_mat_lma, closest_pt_radarloc, close_sources\n", "from radar_processing import dealias_range_elev_derivatives, r_z_centers_edges_mesh\n", "from interp_funcs import centers_to_edges_1d, coords_2d\n", "from interp_funcs import oban, barnes, weighted_mean, weighted_std, interp_avg_std" ] }, { "cell_type": "code", "execution_count": null, "id": "going-impact", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 189, "id": "short-brazilian", "metadata": {}, "outputs": [ { "ename": "NoSuchNodeError", "evalue": "group ``/`` does not have a child named ``events``", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNoSuchNodeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# -- LIGHTNING\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mlma_base\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'./LYLOUT_220604_190000_18000_map500m.nc'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mlma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLMAh5File\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlma_base\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0mevents\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflashes\u001b[0m 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169\u001b[0m the_table).attrs['start_time']) for\n", "\u001b[0;32m~/miniconda3/envs/cmac_env/lib/python3.6/site-packages/tables/group.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 834\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_g_add_children_names\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 835\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__dict__\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 836\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_f_get_child\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 837\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 838\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/miniconda3/envs/cmac_env/lib/python3.6/site-packages/tables/group.py\u001b[0m in \u001b[0;36m_f_get_child\u001b[0;34m(self, childname)\u001b[0m\n\u001b[1;32m 706\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_g_check_open\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 707\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 708\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_g_check_has_child\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchildname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 709\u001b[0m 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"\u001b[0;31mNoSuchNodeError\u001b[0m: group ``/`` does not have a child named ``events``" ] } ], "source": [ "# -- LIGHTNING\n", "lma_base = './LYLOUT_220604_190000_18000_map500m.nc'\n", "lma = LMAh5File(lma_base)\n", "events, flashes = lma.data_for_table(lma.table_names[0])\n", "flashes = pd.DataFrame(flashes)\n", "events = pd.DataFrame(events)\n", "events = events[events.alt < 16000.][events.stations > 5][events.chi2 < 5.]\n", "potential = events" ] }, { "cell_type": "code", "execution_count": null, "id": "empty-virus", "metadata": {}, "outputs": [], "source": [ "# -- RADAR\n", "radar = pyart.io.read('houcsapr2cfrS2.a1.20220604.221847.nc')\n", "# -- Creating EDR field parameter\n", "gate_spacing = radar.range['meters_between_gates']/1000.\n", "beamwidth = radar.instrument_parameters['radar_beam_width_h']['data'][0]\n", "#pytda.calc_turb_rhi(radar, verbose = False, use_ntda=False, beamwidth=beamwidth, gate_spacing=gate_spacing)\n", "\n", "# # -- Adding dealias velocity, dVRdr, dVRde fields to radar file\n", "# import warnings\n", "# warnings.simplefilter(\"ignore\")\n", "# radar = dealias_range_elev_derivatives(radar)\n", "\n", "# arq_tur = './radar/turb_' + os.path.split(arq_ka)[1]\n", "# # .nc export\n", "# try:\n", "# os.remove(arq_tur)\n", "# except OSError:\n", "# pass\n", "# pyart.io.cfradial.write_cfradial(arq_tur, radar,format='NETCDF4')\n", "\n", "# -- Get radar time\n", "d = date(int(radar.time['units'][14:18]),int(radar.time['units'][19:21]),int(radar.time['units'][22:24]))\n", "t = time(int(radar.time['units'][25:27]),int(radar.time['units'][28:30]),int(radar.time['units'][31:33]))\n", "radar_time = datetime.combine(d,t)\n", "print(radar_time)\n", "\n", "\n", "# -- Radar scan processing\n", "#data = xr.open_dataset(arq_tur)\n", "RZ_centers, RZ_edges = r_z_centers_edges_mesh(radar, 0)\n", "# -- WITH THIS I'M ONLY TAKING 1 SWEEP IF I WANT MORE OR ALL I UNCOMMENT THE BELLOW LINES BUT IT TAKES A LONG TIME\n", "# for sweep_idx in np.arange(1, len(data.sweep_start_ray_index)):\n", "# centers, edges = r_z_centers_edges_mesh(data, sweep_idx)\n", "# RZ_centers = np.append(RZ_centers, centers, axis = 0)\n", "# RZ_edges = np.append(RZ_edges, edges, axis = 0)\n", "r_c = RZ_centers[:,:,0]\n", "z_c = RZ_centers[:,:,1]\n", "r_e = RZ_edges[:,:,0]\n", "z_e = RZ_edges[:,:,1]\n", "\n", "# -- To filter VHF sources out of the radar scan domain\n", "# --- Create the polygon: all ranges, lowest and highest elevation\n", "# --- ~ 23 km (IDX 221), 23.5 km (IDX 165)range all elevations\n", "# RZ_edges[:, - 165]\n", "from shapely.geometry import Polygon, Point, MultiPoint\n", "scan_poly = Polygon(np.append(np.append(RZ_edges[-1, :-221],RZ_edges[0, :-221], axis = 0), RZ_edges[:, - 221], axis = 0))\n", "\n", "# -- FLASH\n", "# --- Select the flash #k\n", "flash = one_flash(potential, flashes_id[k])\n", "flash = flash.sort_values(by=['time'])\n", "\n", "# --- Orthogonal projection/ Matrix Rotation of the LF sources\n", "Xlma,Ylma,Zlma = geo_to_tps(flash, radar)\n", "XYZlma = np.column_stack((Xlma, Ylma, Zlma))\n", "lma_file_ortho = rot_mat_lma(radar, XYZlma, -1)\n", "\n", "# -- Initialize coordinate systems\n", "ctrlat, ctrlon, ctralt = data.latitude.values, data.longitude.values, data.altitude.values\n", "geo = GeographicSystem()\n", "tps = TangentPlaneCartesianSystem(ctrlat, ctrlon, ctralt)\n", "rcs = RadarCoordinateSystem(ctrlat, ctrlon, ctralt)\n", "\n", "# -- First source location in the cross section\n", "alt_lma_init = flashes.init_alt[flashes.flash_id == flash.flash_id.values[0]].values[0]\n", "lat_lma_init = flashes.init_lat[flashes.flash_id == flash.flash_id.values[0]].values[0]\n", "lon_lma_init = flashes.init_lon[flashes.flash_id == flash.flash_id.values[0]].values[0]\n", "m = rot_mat_lma(radar, np.column_stack(tps.toLocal(np.vstack(geo.toECEF(lon_lma_init, lat_lma_init, alt_lma_init)))), -1)[0]\n", "X1, Y1, Z1 = m[0], m[1], m[2]\n", "\n", "# 1st STEP\n", "# -- Find and store sources within a certain distance\n", "ds = 100 # threshold\n", "r_cls, z_cls, y_min = close_sources(r_c, z_c, lma_file_ortho, ds)\n", "# -- Selected LMA sources inside the radar scan\n", "lma_shp = MultiPoint(tuple(np.vstack((r_cls, z_cls)).transpose()))\n", "R_cls = [] \n", "Z_cls = []\n", "Y_min = []\n", "for i in np.arange(len(r_cls)):\n", " if scan_poly.contains(lma_shp[i]) == True:\n", " R_cls.append(np.asarray(lma_shp[i].coords[0])[0])\n", " Z_cls.append(np.asarray(lma_shp[i].coords[0])[1])\n", " Y_min.append(y_min[i])\n", "R_cls = np.asarray(R_cls)\n", "Z_cls = np.asarray(Z_cls)\n", "Y_min = np.asarray(Y_min)" ] } ], "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": "3.10.6" }, "toc": { "base_numbering": 1, "nav_menu": {}, 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