forked from 3rdparty/wrf-python
Bill Ladwig
6 years ago
2 changed files with 1 additions and 313 deletions
@ -1,311 +0,0 @@
@@ -1,311 +0,0 @@
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{ |
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"cells": [ |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"from __future__ import print_function\n", |
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"\n", |
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"# This jupyter notebook command inserts matplotlib graphics in \n", |
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"# to the workbook\n", |
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"%matplotlib inline\n", |
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"\n", |
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"# Modify these to point to your own files\n", |
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"WRF_DIRECTORY = \"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi/moving_nest\"\n", |
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"\n", |
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"WRF_FILES = [\"wrfout_d01_2005-08-28_00:00:00\",\n", |
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" \"wrfout_d01_2005-08-28_12:00:00\",\n", |
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" \"wrfout_d01_2005-08-29_00:00:00\"]\n", |
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"\n", |
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"\n", |
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"# Do not modify the code below this line\n", |
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"#------------------------------------------------------\n", |
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"# Turn off annoying warnings\n", |
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"import warnings\n", |
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"warnings.filterwarnings('ignore')\n", |
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"\n", |
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"# Make sure the environment is good\n", |
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"import numpy\n", |
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"import cartopy\n", |
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"import matplotlib\n", |
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"from netCDF4 import Dataset\n", |
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"from xarray import DataArray\n", |
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"from wrf import (getvar, interplevel, vertcross, \n", |
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" vinterp, ALL_TIMES)\n", |
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"import os\n", |
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"\n", |
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"_WRF_FILES = [os.path.abspath(os.path.expanduser(\n", |
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" os.path.join(WRF_DIRECTORY, f))) for f in WRF_FILES]\n", |
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"\n", |
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"# Check that the WRF files exist\n", |
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"try:\n", |
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" for f in _WRF_FILES:\n", |
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" if not os.path.exists(f):\n", |
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" raise ValueError(\"{} does not exist. \"\n", |
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" \"Check for typos or incorrect directory.\".format(f))\n", |
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"except ValueError:\n", |
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" # If the directory ended up in the zip file, then \n", |
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" # another 'wrf_tutorial_data' directory might be \n", |
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" # used.\n", |
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" WRF_DIRECTORY = os.path.join(WRF_DIRECTORY, \"wrf_tutorial_data\")\n", |
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" _WRF_FILES = [os.path.abspath(os.path.expanduser(\n", |
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" os.path.join(WRF_DIRECTORY, f))) for f in WRF_FILES]\n", |
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" for f in _WRF_FILES:\n", |
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" if not os.path.exists(f):\n", |
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" raise\n", |
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"\n", |
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" \n", |
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"# Create functions so that the WRF files only need\n", |
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"# to be specified using the WRF_FILES global above\n", |
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"def single_wrf_file():\n", |
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" global _WRF_FILES\n", |
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" return _WRF_FILES[0]\n", |
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"\n", |
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"def multiple_wrf_files():\n", |
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" global _WRF_FILES\n", |
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" return _WRF_FILES\n", |
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"\n", |
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"print(\"All tests passed!\")" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def get_kwargs(diagname):\n", |
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" kwargs = {}\n", |
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" if diagname == \"ctt\":\n", |
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" kwargs = {\"fill_nocloud\" : True}\n", |
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" \n", |
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" return kwargs" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def contour_levels(diagname, diag, numlevels=15):\n", |
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" levels = numlevels\n", |
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" extend = \"neither\"\n", |
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" if diagname == \"ter\":\n", |
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" pass\n", |
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" #levels = numpy.arange(200.,4000.,250.)\n", |
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" elif diagname == \"avo\":\n", |
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" levels = numpy.arange(10.,75.,5.)\n", |
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" extend=\"max\"\n", |
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" elif diagname == \"eth\":\n", |
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" levels = numpy.arange(270.,400.,10.)\n", |
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" elif diagname == \"cape_2d\":\n", |
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" levels = numpy.arange(200.,4000.,250.)\n", |
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" extend = \"max\"\n", |
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" elif diagname == \"cape_3d\":\n", |
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" levels = numpy.arange(200.,4000.,250.)\n", |
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" extend = \"max\"\n", |
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" elif diagname == \"ctt\":\n", |
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" # Note: The MP scheme doesn't produce cloud water so this\n", |
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" # is just surface temperature\n", |
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" levels = numpy.arange(-100, 20., 5.0)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"dbz\":\n", |
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" #pass\n", |
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" levels = numpy.arange(15.,75.,5.)\n", |
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" extend = \"max\"\n", |
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" elif diagname == \"mdbz\":\n", |
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" levels = numpy.arange(15.,75.,5.)\n", |
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" extend = \"max\"\n", |
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" elif diagname == \"geopt\":\n", |
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" pass\n", |
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" elif diagname == \"helicity\":\n", |
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" levels = numpy.arange(100,500,25)\n", |
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" extend=\"max\"\n", |
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" elif diagname == \"lat\":\n", |
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" pass\n", |
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" elif diagname == \"lon\":\n", |
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" pass\n", |
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" elif diagname == \"omg\":\n", |
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" pass\n", |
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" elif diagname == \"p\":\n", |
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" levels = numpy.arange(95000.,103000.,250.)\n", |
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" extend = \"min\"\n", |
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" elif diagname == \"pressure\":\n", |
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" levels = numpy.arange(950.,1030.,2.5)\n", |
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" extend = \"min\"\n", |
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" elif diagname == \"pvo\":\n", |
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" levels = numpy.arange(.5,5.,.25)\n", |
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" elif diagname == \"pw\":\n", |
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" #pass\n", |
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" levels = numpy.arange(0.1,100,10)\n", |
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" elif diagname == \"rh2\":\n", |
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" levels = numpy.arange(50,101,5)\n", |
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" elif diagname == \"rh\":\n", |
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" levels = numpy.arange(50.,101.,5)\n", |
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" elif diagname == \"slp\":\n", |
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" levels = numpy.arange(950.,1030.,2.5)\n", |
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" extend = \"min\"\n", |
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" elif diagname == \"td2\":\n", |
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" levels = numpy.arange(10,40,5)\n", |
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" extend = \"max\"\n", |
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" elif diagname == \"td\":\n", |
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" levels = numpy.arange(10,40,5)\n", |
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" extend = \"max\"\n", |
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" elif diagname == \"tc\":\n", |
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" levels = numpy.arange(10,40,5)\n", |
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" extend = \"max\"\n", |
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" elif diagname == \"theta\":\n", |
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" levels = numpy.arange(270.,350.,2.5)\n", |
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" elif diagname == \"tk\":\n", |
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" levels = numpy.arange(270.,350.,5.)\n", |
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" elif diagname == \"tv\":\n", |
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" levels = numpy.arange(270.,350.,5.)\n", |
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" #levels = numpy.arange(10,40,5)\n", |
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" elif diagname == \"twb\":\n", |
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" levels = numpy.arange(270.,350.,5.) \n", |
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" elif diagname == \"updraft_helicity\":\n", |
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" pass\n", |
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" #levels = numpy.arange(1,100,5)\n", |
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" elif diagname == \"ua\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"va\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"wa\":\n", |
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" pass\n", |
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" #levels = numpy.arange(0.1,40,5)\n", |
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" elif diagname == \"uvmet10\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"uvmet\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"z\":\n", |
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" levels = numpy.arange(0,200,10)\n", |
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" extend=\"max\"\n", |
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" elif diagname == \"cfrac\":\n", |
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" levels = numpy.arange(0.0,1.1,.2)\n", |
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" elif diagname == \"wspd_wdir\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"wspd_wdir10\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"uvmet_wspd_wdir\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" elif diagname == \"uvmet10_wspd_wdir\":\n", |
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" levels = numpy.arange(-40,40,5)\n", |
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" extend = \"both\"\n", |
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" \n", |
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" return levels, extend" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": { |
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"scrolled": false |
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}, |
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"outputs": [], |
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"source": [ |
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"import numpy\n", |
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"from matplotlib import pyplot\n", |
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"from matplotlib.cm import get_cmap\n", |
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"from cartopy import crs\n", |
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"from cartopy.feature import NaturalEarthFeature\n", |
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"from netCDF4 import Dataset\n", |
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"from wrf import getvar, to_np, get_cartopy, latlon_coords, cartopy_xlim, cartopy_ylim, Constants\n", |
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"\n", |
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"file_path = single_wrf_file()\n", |
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"wrf_file = Dataset(file_path)\n", |
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"\n", |
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"for diagname in (\"ter\",\"avo\", \"eth\", \"cape_2d\", \"cape_3d\", \"ctt\", \"dbz\", \"mdbz\", \n", |
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" \"geopt\", \"helicity\", \"lat\", \"lon\", \"omg\", \"p\", \"pressure\", \n", |
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" \"pvo\", \"pw\", \"rh2\", \"rh\", \"slp\", \"td2\", \"td\", \"tc\",\n", |
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" \"theta\", \"tk\", \"tv\", \"twb\", \"updraft_helicity\", \"ua\", \"va\", \n", |
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" \"wa\", \"uvmet10\", \"uvmet\", \"z\", \"wspd_wdir\", \"wspd_wdir10\",\n", |
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" \"uvmet_wspd_wdir\", \"uvmet10_wspd_wdir\", \"cfrac\"):\n", |
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" \n", |
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" # Get the terrain height\n", |
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" print(diagname)\n", |
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" kwargs = get_kwargs(diagname)\n", |
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" diag = getvar(wrf_file, diagname, timeidx=3, **kwargs)\n", |
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"\n", |
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" if diag.ndim == 3:\n", |
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" diag = diag[0,:]\n", |
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" elif diag.ndim == 4:\n", |
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" diag = diag[0,0,:]\n", |
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"\n", |
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" # Get the cartopy object and the lat,lon coords\n", |
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" cart_proj = get_cartopy(diag)\n", |
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" lats, lons = latlon_coords(diag)\n", |
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"\n", |
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" # Create a figure and get the GetAxes object\n", |
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" fig = pyplot.figure(figsize=(10, 7.5))\n", |
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" ax = pyplot.axes(projection=cart_proj)\n", |
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"\n", |
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" # Download and add the states and coastlines\n", |
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" # See the cartopy documentation for more on this.\n", |
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" states = NaturalEarthFeature(category='cultural', \n", |
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" scale='50m', \n", |
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" facecolor='none',\n", |
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" name='admin_1_states_provinces_shp')\n", |
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"\n", |
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" ax.add_feature(states, linewidth=.5, edgecolor='black', zorder=3)\n", |
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" ax.coastlines('50m', linewidth=.8, color='black', zorder=4)\n", |
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"\n", |
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" # Set the contour levels\n", |
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" levels, extend = contour_levels(diagname, diag, numlevels=15)\n", |
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"\n", |
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" # Make the contour lines and fill them.\n", |
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" pyplot.contour(to_np(lons), to_np(lats), \n", |
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" to_np(diag), levels=levels, \n", |
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" colors=\"black\",\n", |
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" transform=crs.PlateCarree())\n", |
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" pyplot.contourf(to_np(lons), to_np(lats), \n", |
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" to_np(diag), levels=levels,\n", |
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" transform=crs.PlateCarree(),\n", |
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" extend=extend,\n", |
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" cmap=get_cmap(\"jet\"))\n", |
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"\n", |
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" ax.set_xlim(cartopy_xlim(diag))\n", |
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" ax.set_ylim(cartopy_ylim(diag))\n", |
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" \n", |
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" # Add a color bar. The shrink often needs to be set \n", |
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" # by trial and error.\n", |
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" cb = pyplot.colorbar(ax=ax, shrink=.99)\n", |
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" \n", |
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" pyplot.title(diagname)\n", |
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" pyplot.show()\n", |
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"\n", |
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"\n" |
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] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.6.7" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 2 |
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} |
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