From 120d5c4a5b75c7cac5c8e3d065b87e4a85d9a0d7 Mon Sep 17 00:00:00 2001 From: Sean Freeman Date: Tue, 15 Jul 2025 16:25:57 -0500 Subject: [PATCH] change linked example on homepage --- .../3D_Tracking_Radar_Data.ipynb | 529 ++++++++++++++++++ 1 file changed, 529 insertions(+) create mode 100644 examples/radar_examples/3D_Tracking_Radar_Data.ipynb diff --git a/examples/radar_examples/3D_Tracking_Radar_Data.ipynb b/examples/radar_examples/3D_Tracking_Radar_Data.ipynb new file mode 100644 index 00000000..0b57f17e --- /dev/null +++ b/examples/radar_examples/3D_Tracking_Radar_Data.ipynb @@ -0,0 +1,529 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3D *tobac* Tutorial: Gridded Radar Data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This tutorial will demonstrate how to use *tobac* to detect and track convection with gridded radar data. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:14:19.945437Z", + "start_time": "2025-07-15T21:14:19.661419Z" + } + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:14:22.291890Z", + "start_time": "2025-07-15T21:14:19.946399Z" + } + }, + "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" + ] + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "import xarray as xr\n", + "import pyart\n", + "import datetime\n", + "import matplotlib.gridspec as gridspec\n", + "import tobac\n", + "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load and Preprocess Data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:14:28.069519Z", + "start_time": "2025-07-15T21:14:22.292704Z" + } + }, + "outputs": [], + "source": [ + "# load in \n", + "radar_data_files = (\n", + " \"s3://noaa-nexrad-level2/2017/05/25/KCYS/KCYS20170525_172649_V06\",\n", + " \"s3://noaa-nexrad-level2/2017/05/25/KCYS/KCYS20170525_173109_V06\",\n", + " \"s3://noaa-nexrad-level2/2017/05/25/KCYS/KCYS20170525_173528_V06\",\n", + " \"s3://noaa-nexrad-level2/2017/05/25/KCYS/KCYS20170525_173934_V06\"\n", + ")\n", + "\n", + "all_radar_data = dict()\n", + "for radar_file_name in radar_data_files:\n", + " radar_time_str = radar_file_name.split('/')[-1][4:-4]\n", + " radar_time = datetime.datetime.strptime(radar_time_str, '%Y%m%d_%H%M%S')\n", + " all_radar_data[radar_time] = pyart.io.read_nexrad_archive(radar_file_name)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*tobac* is designed to work with **gridded** data, so we must first grid the radial radar data. This is a quick and dirty gridding, but it will get the job done for this tutorial. Much better gridding results could be had with tuning of the parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:22.096041Z", + "start_time": "2025-07-15T21:14:28.070456Z" + } + }, + "outputs": [], + "source": [ + "all_radar_gridded = dict()\n", + "for radar_time in all_radar_data:\n", + " all_radar_gridded[radar_time] = pyart.map.grid_from_radars(all_radar_data[radar_time], grid_shape=(41, 401, 401),\n", + " grid_limits=((0.,20000,), (-200000., 200000.), (-200000, 200000.)))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:22.102591Z", + "start_time": "2025-07-15T21:16:22.097728Z" + } + }, + "outputs": [], + "source": [ + "all_times = list(all_radar_gridded)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:22.338298Z", + "start_time": "2025-07-15T21:16:22.100679Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": "" + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.pcolormesh(all_radar_gridded[all_times[3]].to_xarray()['reflectivity'][0,6])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:22.613291Z", + "start_time": "2025-07-15T21:16:22.338471Z" + } + }, + "outputs": [], + "source": [ + "all_xr_grids = list()\n", + "for radar_time in all_radar_gridded:\n", + " all_xr_grids.append(all_radar_gridded[radar_time].to_xarray())" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:22.743549Z", + "start_time": "2025-07-15T21:16:22.615412Z" + } + }, + "outputs": [], + "source": [ + "all_xr_data = xr.concat(all_xr_grids, 'time')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## *tobac* Feature Detection" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:22.747947Z", + "start_time": "2025-07-15T21:16:22.743274Z" + } + }, + "outputs": [], + "source": [ + "feature_detection_params = dict()\n", + "feature_detection_params['threshold'] = [30, 40, 50]\n", + "feature_detection_params['target'] = 'maximum'\n", + "feature_detection_params['position_threshold'] = 'weighted_diff'\n", + "feature_detection_params['n_erosion_threshold'] = 2\n", + "feature_detection_params['sigma_threshold'] = 1\n", + "feature_detection_params['n_min_threshold'] = 4\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that to track in 3D, we must give information about what our height coordinate is. Iris tends to be picky about the naming conventions, so we need to assign standard names as well." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:22.752039Z", + "start_time": "2025-07-15T21:16:22.748139Z" + } + }, + "outputs": [], + "source": [ + "xr_grid_full = all_xr_data['reflectivity']\n", + "xr_grid_full['z'] = xr_grid_full.z.assign_attrs({'standard_name': 'altitude'})\n", + "xr_grid_full['lat'] = xr_grid_full.lat.assign_attrs({'standard_name': 'latitude'})\n", + "xr_grid_full['lon'] = xr_grid_full.lon.assign_attrs({'standard_name': 'longitude'})" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:24.087208Z", + "start_time": "2025-07-15T21:16:22.750978Z" + } + }, + "outputs": [], + "source": [ + "out_fd = tobac.feature_detection_multithreshold(xr_grid_full, 0, **feature_detection_params)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:24.106878Z", + "start_time": "2025-07-15T21:16:24.088150Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": " frame idx vdim hdim_1 hdim_2 num threshold_value \\\n0 0 1 7.461340 101.516197 243.322103 601 30 \n1 0 2 6.205166 128.319109 246.297396 70 30 \n2 0 3 3.958096 151.380294 242.136976 422 30 \n3 0 4 3.382241 166.749490 251.163372 20 30 \n4 1 1 8.143188 102.781420 247.378227 710 30 \n5 1 2 5.603158 129.459213 248.536406 155 30 \n6 1 3 4.197920 154.231072 246.015737 775 30 \n7 1 5 3.023899 178.998573 245.652524 8 30 \n8 2 1 8.341449 104.282326 251.299525 726 30 \n9 2 2 7.187612 130.248964 251.829538 263 30 \n10 2 3 0.511427 149.006913 256.294458 19 30 \n11 2 6 2.705102 181.131671 248.651761 8 30 \n12 2 8 1.059521 152.559558 246.000000 13 40 \n13 3 1 7.625713 105.576720 254.659472 789 30 \n14 3 2 7.324813 131.144139 254.726020 502 30 \n15 3 3 0.985013 146.240783 264.420779 12 30 \n16 3 5 1.786223 169.710514 265.245638 553 30 \n17 3 7 0.479989 153.548991 248.446620 12 40 \n\n feature time timestr lat \\\n0 1 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 40.265098 \n1 2 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 40.505974 \n2 3 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 40.713588 \n3 4 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 40.851287 \n4 5 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 40.276254 \n5 6 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 40.516098 \n6 7 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 40.739016 \n7 8 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 40.961769 \n8 9 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 40.289517 \n9 10 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 40.522999 \n10 11 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 40.691393 \n11 12 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 40.980779 \n12 13 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 40.723985 \n13 14 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 40.300942 \n14 15 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 40.530862 \n15 16 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 40.665919 \n16 17 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 40.876910 \n17 18 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 40.732741 \n\n lon y x \\\n0 -104.295467 -98483.803226 43322.102771 \n1 -104.258436 -71680.891079 46297.396490 \n2 -104.306089 -48619.706170 42136.976135 \n3 -104.197729 -33250.509891 51163.371809 \n4 -104.247571 -97218.580067 47378.227328 \n5 -104.231867 -70540.787314 48536.406184 \n6 -104.259859 -45768.927841 46015.736635 \n7 -104.262341 -21001.427135 45652.524363 \n8 -104.201229 -95717.673843 51299.525410 \n9 -104.192846 -69751.036244 51829.537594 \n10 -104.138335 -50993.087150 56294.457642 \n11 -104.226455 -18868.328864 48651.761498 \n12 -104.260169 -47440.442349 46000.000000 \n13 -104.161507 -94423.279686 54659.471930 \n14 -104.158502 -68855.861373 54726.019972 \n15 -104.042241 -53759.216703 64420.778512 \n16 -104.029995 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frameidxvdimhdim_1hdim_2numthreshold_valuefeaturetimetimestrlatlonyxProjectionCoordinateSystemprojectionorigin_latitudeorigin_longitudeorigin_altitudez
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11262.705102181.131671248.651761830122017-05-25 17:35:28.7180002017-05-25 17:35:2840.980779-104.226455-18868.32886448651.761498<xarray.DataArray 'ProjectionCoordinateSystem'...<xarray.DataArray 'projection' ()> Size: 4B\\na...41.15192-104.806031887.01352.551043
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" + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "out_fd" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Frame 3: 5 trajectories present.\n" + ] + } + ], + "source": [ + "out_tracking = tobac.linking_trackpy(out_fd, None, 300, dxy = 2000, v_max=30)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "outputs": [ + { + "data": { + "text/plain": " frame idx vdim hdim_1 hdim_2 num threshold_value \\\n0 0 1 7.461340 101.516197 243.322103 601 30 \n1 0 2 6.205166 128.319109 246.297396 70 30 \n2 0 3 3.958096 151.380294 242.136976 422 30 \n3 0 4 3.382241 166.749490 251.163372 20 30 \n4 1 1 8.143188 102.781420 247.378227 710 30 \n5 1 2 5.603158 129.459213 248.536406 155 30 \n6 1 3 4.197920 154.231072 246.015737 775 30 \n7 1 5 3.023899 178.998573 245.652524 8 30 \n12 2 8 1.059521 152.559558 246.000000 13 40 \n11 2 6 2.705102 181.131671 248.651761 8 30 \n8 2 1 8.341449 104.282326 251.299525 726 30 \n9 2 2 7.187612 130.248964 251.829538 263 30 \n10 2 3 0.511427 149.006913 256.294458 19 30 \n16 3 5 1.786223 169.710514 265.245638 553 30 \n13 3 1 7.625713 105.576720 254.659472 789 30 \n14 3 2 7.324813 131.144139 254.726020 502 30 \n15 3 3 0.985013 146.240783 264.420779 12 30 \n17 3 7 0.479989 153.548991 248.446620 12 40 \n\n feature time timestr ... \\\n0 1 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 ... \n1 2 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 ... \n2 3 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 ... \n3 4 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 ... \n4 5 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 ... \n5 6 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 ... \n6 7 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 ... \n7 8 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 ... \n12 13 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 ... \n11 12 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 ... \n8 9 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 ... \n9 10 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 ... \n10 11 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 ... \n16 17 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 ... \n13 14 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 ... \n14 15 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 ... \n15 16 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 ... \n17 18 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 ... \n\n y x \\\n0 -98483.803226 43322.102771 \n1 -71680.891079 46297.396490 \n2 -48619.706170 42136.976135 \n3 -33250.509891 51163.371809 \n4 -97218.580067 47378.227328 \n5 -70540.787314 48536.406184 \n6 -45768.927841 46015.736635 \n7 -21001.427135 45652.524363 \n12 -47440.442349 46000.000000 \n11 -18868.328864 48651.761498 \n8 -95717.673843 51299.525410 \n9 -69751.036244 51829.537594 \n10 -50993.087150 56294.457642 \n16 -30289.486217 65245.638232 \n13 -94423.279686 54659.471930 \n14 -68855.861373 54726.019972 \n15 -53759.216703 64420.778512 \n17 -46451.008957 48446.620494 \n\n ProjectionCoordinateSystem \\\n0 Size: 4B\\na... 41.15192 \n1 Size: 4B\\na... 41.15192 \n2 Size: 4B\\na... 41.15192 \n3 Size: 4B\\na... 41.15192 \n4 Size: 4B\\na... 41.15192 \n5 Size: 4B\\na... 41.15192 \n6 Size: 4B\\na... 41.15192 \n7 Size: 4B\\na... 41.15192 \n12 Size: 4B\\na... 41.15192 \n11 Size: 4B\\na... 41.15192 \n8 Size: 4B\\na... 41.15192 \n9 Size: 4B\\na... 41.15192 \n10 Size: 4B\\na... 41.15192 \n16 Size: 4B\\na... 41.15192 \n13 Size: 4B\\na... 41.15192 \n14 Size: 4B\\na... 41.15192 \n15 Size: 4B\\na... 41.15192 \n17 Size: 4B\\na... 41.15192 \n\n origin_longitude origin_altitude z cell time_cell \n0 -104.80603 1887.0 3730.669856 1 0 days 00:00:00 \n1 -104.80603 1887.0 3102.583175 2 0 days 00:00:00 \n2 -104.80603 1887.0 1979.048186 3 0 days 00:00:00 \n3 -104.80603 1887.0 1691.120744 4 0 days 00:00:00 \n4 -104.80603 1887.0 4071.593988 1 0 days 00:04:20.349000 \n5 -104.80603 1887.0 2801.579234 2 0 days 00:04:20.349000 \n6 -104.80603 1887.0 2098.960078 5 0 days 00:00:00 \n7 -104.80603 1887.0 1511.949287 6 0 days 00:00:00 \n12 -104.80603 1887.0 529.760465 5 0 days 00:04:19.271000 \n11 -104.80603 1887.0 1352.551043 6 0 days 00:04:19.271000 \n8 -104.80603 1887.0 4170.724557 1 0 days 00:08:39.620000 \n9 -104.80603 1887.0 3593.806245 2 0 days 00:08:39.620000 \n10 -104.80603 1887.0 255.713430 7 0 days 00:00:00 \n16 -104.80603 1887.0 893.111532 8 0 days 00:00:00 \n13 -104.80603 1887.0 3812.856652 1 0 days 00:12:45.177000 \n14 -104.80603 1887.0 3662.406505 2 0 days 00:12:45.177000 \n15 -104.80603 1887.0 492.506280 9 0 days 00:00:00 \n17 -104.80603 1887.0 239.994280 5 0 days 00:08:24.828000 \n\n[18 rows x 22 columns]", + "text/html": "
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" + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "out_tracking" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2025-07-15T21:16:24.201297Z", + "start_time": "2025-07-15T21:16:24.135154Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:24.201456Z", + "start_time": "2025-07-15T21:16:24.138439Z" + } + }, + "outputs": [], + "source": [ + "cell_2_out = out_tracking[out_tracking['cell']==2]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:24.202014Z", + "start_time": "2025-07-15T21:16:24.148100Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": " frame idx vdim hdim_1 hdim_2 num threshold_value \\\n1 0 2 6.205166 128.319109 246.297396 70 30 \n5 1 2 5.603158 129.459213 248.536406 155 30 \n9 2 2 7.187612 130.248964 251.829538 263 30 \n14 3 2 7.324813 131.144139 254.726020 502 30 \n\n feature time timestr ... \\\n1 2 2017-05-25 17:26:49.098000 2017-05-25 17:26:49 ... \n5 6 2017-05-25 17:31:09.447000 2017-05-25 17:31:09 ... \n9 10 2017-05-25 17:35:28.718000 2017-05-25 17:35:28 ... \n14 15 2017-05-25 17:39:34.275000 2017-05-25 17:39:34 ... \n\n y x \\\n1 -71680.891079 46297.396490 \n5 -70540.787314 48536.406184 \n9 -69751.036244 51829.537594 \n14 -68855.861373 54726.019972 \n\n ProjectionCoordinateSystem \\\n1 Size: 4B\\na... 41.15192 \n5 Size: 4B\\na... 41.15192 \n9 Size: 4B\\na... 41.15192 \n14 Size: 4B\\na... 41.15192 \n\n origin_longitude origin_altitude z cell time_cell \n1 -104.80603 1887.0 3102.583175 2 0 days 00:00:00 \n5 -104.80603 1887.0 2801.579234 2 0 days 00:04:20.349000 \n9 -104.80603 1887.0 3593.806245 2 0 days 00:08:39.620000 \n14 -104.80603 1887.0 3662.406505 2 0 days 00:12:45.177000 \n\n[4 rows x 22 columns]", + "text/html": "
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" + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cell_2_out" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:24.202174Z", + "start_time": "2025-07-15T21:16:24.151690Z" + } + }, + "outputs": [], + "source": [ + "def round_seconds(obj: datetime.datetime) -> datetime.datetime:\n", + " if obj.microsecond >= 500_000:\n", + " obj += datetime.timedelta(seconds=1)\n", + " return obj.replace(microsecond=0)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2025-07-15T21:16:25.764590Z", + "start_time": "2025-07-15T21:16:24.154192Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": "
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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=[16, 6])\n", + "spec = gridspec.GridSpec(ncols=4, nrows=2, figure=fig)\n", + "all_ax = list()\n", + "x_range = 15\n", + "for i, radar_time in enumerate(all_xr_data.time):\n", + " radar_time_str = str(radar_time.values).split('.')[0]\n", + " exact_dt_radar = pd.to_datetime(radar_time.values.astype('datetime64[ns]'))\n", + " pydt_radar = exact_dt_radar.to_pydatetime()\n", + " pydt_radar = round_seconds(pydt_radar)\n", + "\n", + " ax = fig.add_subplot(spec[0,i], projection=ccrs.PlateCarree())\n", + " all_ax.append(ax)\n", + " curr_xr_data = all_xr_data.sel(time=radar_time)\n", + " ax.set_extent([-104.35, -104.1, 40.35, 40.6], crs=ccrs.PlateCarree())\n", + "\n", + " cm = ax.pcolormesh(all_xr_data['lon'], all_xr_data['lat'], curr_xr_data['reflectivity'][4], vmin=-30, vmax=95, \n", + " transform=ccrs.PlateCarree(), cmap = 'gist_ncar')\n", + "\n", + " states_provinces = cfeature.NaturalEarthFeature(category='cultural',\n", + " name='admin_1_states_provinces_lines',\n", + " scale='50m',\n", + " facecolor='none')\n", + " ax.add_feature(states_provinces, edgecolor='gray')\n", + " gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True)\n", + " gl.top_labels = False\n", + " gl.right_labels = False\n", + " gl.xlabel_style = {'fontsize':14}\n", + " gl.ylabel_style = {'fontsize': 14}\n", + " \n", + " #cb = plt.colorbar(cm)\n", + " #cb.set_label(\"Reflectivity (dBZ)\", size=14)\n", + " #cb.ax.tick_params(labelsize=14)\n", + " plt.title(\"2 km AGL, \"+pydt_radar.strftime(\"%H:%MZ\"), size=14)\n", + " #pydt_radar = pydt_radar.replace(microsecond=round(pydt_radar.microsecond, -3))\n", + " curr_time_cell = cell_2_out[cell_2_out['time']==exact_dt_radar]\n", + " past_time_cell = cell_2_out[cell_2_out['time']<=exact_dt_radar]\n", + " min_x_pt = round(curr_time_cell['hdim_2'].values[0])-x_range\n", + " max_x_pt = round(curr_time_cell['hdim_2'].values[0])+x_range\n", + " curr_y_pt = round(curr_time_cell['hdim_1'].values[0])\n", + "\n", + " ax.scatter(curr_time_cell['lon'], curr_time_cell['lat'], 30, transform=ccrs.PlateCarree(), color='r')\n", + " ax.plot(past_time_cell['lon'].values, past_time_cell['lat'].values, color='r', transform=ccrs.PlateCarree())\n", + " ax.plot([all_xr_data['lon'][min_x_pt], all_xr_data['lon'][max_x_pt]], [all_xr_data['lat'][curr_y_pt], all_xr_data['lat'][curr_y_pt]], color='k', ls=':',\n", + " transform=ccrs.PlateCarree())\n", + " #plt.savefig(\"./radar_example_2/base_ref_202105261556_withfeatures.png\", facecolor='w', bbox_inches='tight')\n", + "spec = gridspec.GridSpec(ncols=4, nrows=2, figure=fig)\n", + "for i, radar_time in enumerate(all_xr_data.time):\n", + " ax = fig.add_subplot(spec[1,i])\n", + " all_ax.append(ax)\n", + " exact_dt_radar = pd.to_datetime(radar_time.values.astype('datetime64[ns]'))\n", + "\n", + " pydt_radar = exact_dt_radar.to_pydatetime()\n", + " pydt_radar = round_seconds(pydt_radar)\n", + " curr_xr_data = all_xr_data.sel(time=radar_time)\n", + " curr_time_cell = cell_2_out[cell_2_out['time']==exact_dt_radar]\n", + " curr_y_pt = round(curr_time_cell['hdim_1'].values[0])\n", + " min_x_pt = round(curr_time_cell['hdim_2'].values[0])-x_range\n", + " max_x_pt = round(curr_time_cell['hdim_2'].values[0])+x_range\n", + " min_z_pt = 1\n", + " max_z_pt = 37\n", + " lm, zm = np.meshgrid(all_xr_data['lon'][curr_y_pt, min_x_pt:max_x_pt], (all_xr_data['z']/1000)[min_z_pt:max_z_pt])\n", + " cm = ax.pcolormesh(lm, zm, \n", + " curr_xr_data['reflectivity'][min_z_pt:max_z_pt, curr_y_pt, min_x_pt:max_x_pt], cmap = 'gist_ncar', vmin=-30, vmax=95,)\n", + " past_time_cell = cell_2_out[cell_2_out['time']<=exact_dt_radar]\n", + "\n", + " ax.scatter(curr_time_cell['lon'], curr_time_cell['z']/1000, 30, color='r')\n", + " ax.plot(past_time_cell['lon'].values, past_time_cell['z'].values/1000, color='r')\n", + " ax.tick_params(labelsize=14)\n", + " lon_formatter = LongitudeFormatter(number_format='.1f',\n", + " dateline_direction_label=True)\n", + " ax.xaxis.set_major_formatter(lon_formatter)\n", + " if i == 0:\n", + " ax.set_ylabel(\"Altitude (km)\", size=14)\n", + "\n", + " \n", + "\n", + "label_prefix = ''\n", + "label_suffix = ')'\n", + "for ax, label in zip(all_ax, 'abcdefghijklmno'):\n", + " ax.text(-0.1,1.02, label_prefix+label+label_suffix, transform=ax.transAxes, size=18)\n", + "\n", + "plt.savefig(\"3D_track_example.png\", dpi=300)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.5 ('tobac_15')", + "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": "3.10.5" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "d1278cc0f98bdd9b2d16ea8b549513a9355facacbae5f0f0d9da8c621f2ecc1b" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}