forked from 3rdparty/wrf-python
Bill Ladwig
7 years ago
18 changed files with 644 additions and 76 deletions
@ -1,2 +1,2 @@
@@ -1,2 +1,2 @@
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__version__ = "1.1.2" |
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__version__ = "1.1.3" |
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@ -0,0 +1,214 @@
@@ -0,0 +1,214 @@
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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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"%matplotlib inline\n", |
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"import numpy as np\n", |
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"from netCDF4 import Dataset\n", |
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"import matplotlib.pyplot as plt\n", |
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"from matplotlib.cm import get_cmap\n", |
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"import cartopy.crs as crs\n", |
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"from cartopy.feature import NaturalEarthFeature\n", |
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"\n", |
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"from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n", |
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"\n", |
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"# Open the NetCDF file\n", |
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"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi/wrfout_d01_2005-08-28_12:00:00\")\n", |
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"\n", |
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"# Get the sea level pressure\n", |
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"ctt = getvar(ncfile, \"ctt\", fill_nocloud=False)\n", |
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"slp = getvar(ncfile, \"slp\")\n", |
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"\n", |
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"\n", |
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"# Get the latitude and longitude points\n", |
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"lats, lons = latlon_coords(ctt)\n", |
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"\n", |
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"# Get the cartopy mapping object\n", |
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"cart_proj = get_cartopy(ctt)\n", |
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"\n", |
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"# Create a figure\n", |
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"fig = plt.figure(figsize=(12,9))\n", |
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"# Set the GeoAxes to the projection used by WRF\n", |
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"ax = plt.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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"states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',\n", |
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" name='admin_1_states_provinces_shp')\n", |
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"ax.add_feature(states, linewidth=.5)\n", |
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"ax.coastlines('50m', linewidth=0.8)\n", |
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"\n", |
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"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n", |
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"levels = np.arange(-80, 20, 5)\n", |
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"plt.contour(to_np(lons), to_np(lats), to_np(slp), 10, colors=\"black\",\n", |
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" transform=crs.PlateCarree())\n", |
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"plt.contourf(to_np(lons), to_np(lats), to_np(ctt), levels=levels, transform=crs.PlateCarree(),\n", |
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" cmap=get_cmap(\"Greys\"))\n", |
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"\n", |
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"# Add a color bar\n", |
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"plt.colorbar(ax=ax, shrink=.88)\n", |
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"\n", |
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"# Set the map limits. Not really necessary, but used for demonstration.\n", |
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"ax.set_xlim(cartopy_xlim(ctt))\n", |
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"ax.set_ylim(cartopy_ylim(ctt))\n", |
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"\n", |
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"# Add the gridlines\n", |
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"ax.gridlines(color=\"black\", linestyle=\"dotted\")\n", |
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"\n", |
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"plt.title(\"Cloud Top Temperature (degC)\")\n", |
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"\n", |
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"plt.show()" |
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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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"%matplotlib inline\n", |
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"import numpy as np\n", |
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"from netCDF4 import Dataset\n", |
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"import matplotlib.pyplot as plt\n", |
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"from matplotlib.cm import get_cmap\n", |
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"import cartopy.crs as crs\n", |
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"from cartopy.feature import NaturalEarthFeature\n", |
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"\n", |
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"from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n", |
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"\n", |
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"# Open the NetCDF file\n", |
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"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi/wrfout_d01_2005-08-28_12:00:00\")\n", |
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"\n", |
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"# Get the sea level pressure\n", |
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"ctt = getvar(ncfile, \"ctt\", fill_nocloud=True, opt_thresh=1.0)\n", |
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"slp = getvar(ncfile, \"slp\")\n", |
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"\n", |
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"\n", |
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"# Get the latitude and longitude points\n", |
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"lats, lons = latlon_coords(ctt)\n", |
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"\n", |
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"# Get the cartopy mapping object\n", |
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"cart_proj = get_cartopy(ctt)\n", |
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"\n", |
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"# Create a figure\n", |
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"fig = plt.figure(figsize=(12,9))\n", |
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"# Set the GeoAxes to the projection used by WRF\n", |
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"ax = plt.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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"states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',\n", |
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" name='admin_1_states_provinces_shp')\n", |
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"ax.add_feature(states, linewidth=.5)\n", |
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"ax.coastlines('50m', linewidth=0.8)\n", |
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"\n", |
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"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n", |
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"levels = np.arange(-80, 20, 5)\n", |
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"plt.contour(to_np(lons), to_np(lats), to_np(slp), 10, colors=\"black\",\n", |
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" transform=crs.PlateCarree())\n", |
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"plt.contourf(to_np(lons), to_np(lats), to_np(ctt), levels=levels, transform=crs.PlateCarree(),\n", |
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" cmap=get_cmap(\"Greys\"))\n", |
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"\n", |
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"# Add a color bar\n", |
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"plt.colorbar(ax=ax, shrink=.88)\n", |
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"\n", |
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"# Set the map limits. Not really necessary, but used for demonstration.\n", |
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"ax.set_xlim(cartopy_xlim(ctt))\n", |
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"ax.set_ylim(cartopy_ylim(ctt))\n", |
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"\n", |
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"# Add the gridlines\n", |
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"ax.gridlines(color=\"black\", linestyle=\"dotted\")\n", |
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"\n", |
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"plt.title(\"Cloud Top Temperature (degC)\")\n", |
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"\n", |
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"plt.show()" |
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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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"%matplotlib inline\n", |
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"import numpy as np\n", |
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"from netCDF4 import Dataset\n", |
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"import matplotlib.pyplot as plt\n", |
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"from matplotlib.cm import get_cmap\n", |
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"import cartopy.crs as crs\n", |
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"from cartopy.feature import NaturalEarthFeature\n", |
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"\n", |
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"from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n", |
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"\n", |
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"# Open the NetCDF file\n", |
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"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi/wrfout_d01_2005-08-28_12:00:00\")\n", |
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"\n", |
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"# Get the sea level pressure\n", |
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"cfrac = getvar(ncfile, \"cfrac\")[2, :]\n", |
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"slp = getvar(ncfile, \"slp\")\n", |
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"\n", |
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"\n", |
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"# Get the latitude and longitude points\n", |
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"lats, lons = latlon_coords(ctt)\n", |
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"\n", |
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"# Get the cartopy mapping object\n", |
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"cart_proj = get_cartopy(ctt)\n", |
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"\n", |
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"# Create a figure\n", |
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"fig = plt.figure(figsize=(12,9))\n", |
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"# Set the GeoAxes to the projection used by WRF\n", |
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"ax = plt.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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"states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',\n", |
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" name='admin_1_states_provinces_shp')\n", |
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"ax.add_feature(states, linewidth=.5)\n", |
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"ax.coastlines('50m', linewidth=0.8)\n", |
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"\n", |
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"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n", |
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"levels = np.arange(0, 1.1, .1)\n", |
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"plt.contour(to_np(lons), to_np(lats), to_np(slp), 10, colors=\"black\",\n", |
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" transform=crs.PlateCarree())\n", |
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"plt.contourf(to_np(lons), to_np(lats), to_np(cfrac), levels=levels, transform=crs.PlateCarree(),\n", |
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" cmap=get_cmap(\"Greys_r\"))\n", |
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"\n", |
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"# Add a color bar\n", |
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"plt.colorbar(ax=ax, shrink=.88)\n", |
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"\n", |
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"# Set the map limits. Not really necessary, but used for demonstration.\n", |
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"ax.set_xlim(cartopy_xlim(ctt))\n", |
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"ax.set_ylim(cartopy_ylim(ctt))\n", |
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"\n", |
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"# Add the gridlines\n", |
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"ax.gridlines(color=\"black\", linestyle=\"dotted\")\n", |
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"\n", |
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"plt.title(\"Cloud Fraction\")\n", |
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"\n", |
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"plt.show()" |
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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 2", |
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"language": "python", |
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"name": "python2" |
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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": 2 |
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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": "ipython2", |
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"version": "2.7.13" |
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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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@ -0,0 +1,214 @@
@@ -0,0 +1,214 @@
|
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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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"%matplotlib inline\n", |
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"import numpy as np\n", |
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"from netCDF4 import Dataset\n", |
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"import matplotlib.pyplot as plt\n", |
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"from matplotlib.cm import get_cmap\n", |
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"import cartopy.crs as crs\n", |
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"from cartopy.feature import NaturalEarthFeature\n", |
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"\n", |
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"from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n", |
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"\n", |
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"# Open the NetCDF file\n", |
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"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi/wrfout_d01_2005-08-28_12:00:00\")\n", |
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"\n", |
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"# Get the sea level pressure\n", |
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"ctt = getvar(ncfile, \"ctt\")\n", |
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"slp = getvar(ncfile, \"slp\")\n", |
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"\n", |
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"\n", |
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"# Get the latitude and longitude points\n", |
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"lats, lons = latlon_coords(ctt)\n", |
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"\n", |
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"# Get the cartopy mapping object\n", |
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"cart_proj = get_cartopy(ctt)\n", |
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"\n", |
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"# Create a figure\n", |
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"fig = plt.figure(figsize=(12,9))\n", |
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"# Set the GeoAxes to the projection used by WRF\n", |
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"ax = plt.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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"states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',\n", |
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" name='admin_1_states_provinces_shp')\n", |
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"ax.add_feature(states, linewidth=.5)\n", |
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"ax.coastlines('50m', linewidth=0.8)\n", |
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"\n", |
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"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n", |
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"levels = np.arange(-80, 20, 5)\n", |
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"plt.contour(to_np(lons), to_np(lats), to_np(slp), 10, colors=\"black\",\n", |
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" transform=crs.PlateCarree())\n", |
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"plt.contourf(to_np(lons), to_np(lats), to_np(ctt), levels=levels, transform=crs.PlateCarree(),\n", |
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" cmap=get_cmap(\"Greys\"))\n", |
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"\n", |
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"# Add a color bar\n", |
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"plt.colorbar(ax=ax, shrink=.88)\n", |
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"\n", |
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"# Set the map limits. Not really necessary, but used for demonstration.\n", |
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"ax.set_xlim(cartopy_xlim(ctt))\n", |
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"ax.set_ylim(cartopy_ylim(ctt))\n", |
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"\n", |
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"# Add the gridlines\n", |
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"ax.gridlines(color=\"black\", linestyle=\"dotted\")\n", |
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"\n", |
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"plt.title(\"Cloud Top Temperature (degC)\")\n", |
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"\n", |
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"plt.show()" |
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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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"%matplotlib inline\n", |
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"import numpy as np\n", |
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"from netCDF4 import Dataset\n", |
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"import matplotlib.pyplot as plt\n", |
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"from matplotlib.cm import get_cmap\n", |
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"import cartopy.crs as crs\n", |
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"from cartopy.feature import NaturalEarthFeature\n", |
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"\n", |
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"from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n", |
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"\n", |
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"# Open the NetCDF file\n", |
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"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi/wrfout_d01_2005-08-28_12:00:00\")\n", |
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"\n", |
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"# Get the sea level pressure\n", |
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"ctt = getvar(ncfile, \"ctt\")\n", |
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"slp = getvar(ncfile, \"slp\")\n", |
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"\n", |
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"\n", |
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"# Get the latitude and longitude points\n", |
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"lats, lons = latlon_coords(ctt)\n", |
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"\n", |
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"# Get the cartopy mapping object\n", |
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"cart_proj = get_cartopy(ctt)\n", |
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"\n", |
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"# Create a figure\n", |
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"fig = plt.figure(figsize=(12,9))\n", |
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"# Set the GeoAxes to the projection used by WRF\n", |
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"ax = plt.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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"states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',\n", |
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" name='admin_1_states_provinces_shp')\n", |
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"ax.add_feature(states, linewidth=.5)\n", |
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"ax.coastlines('50m', linewidth=0.8)\n", |
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"\n", |
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"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n", |
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"levels = np.arange(-80, 20, 5)\n", |
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"plt.contour(to_np(lons), to_np(lats), to_np(slp), 10, colors=\"black\",\n", |
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" transform=crs.PlateCarree())\n", |
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"plt.contourf(to_np(lons), to_np(lats), to_np(ctt), levels=levels, transform=crs.PlateCarree(),\n", |
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" cmap=get_cmap(\"Greys\"))\n", |
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"\n", |
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"# Add a color bar\n", |
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"plt.colorbar(ax=ax, shrink=.88)\n", |
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"\n", |
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"# Set the map limits. Not really necessary, but used for demonstration.\n", |
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"ax.set_xlim(cartopy_xlim(ctt))\n", |
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"ax.set_ylim(cartopy_ylim(ctt))\n", |
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"\n", |
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"# Add the gridlines\n", |
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"ax.gridlines(color=\"black\", linestyle=\"dotted\")\n", |
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"\n", |
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"plt.title(\"Cloud Top Temperature (degC)\")\n", |
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"\n", |
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"plt.show()" |
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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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"%matplotlib inline\n", |
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"import numpy as np\n", |
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"from netCDF4 import Dataset\n", |
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"import matplotlib.pyplot as plt\n", |
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"from matplotlib.cm import get_cmap\n", |
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"import cartopy.crs as crs\n", |
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"from cartopy.feature import NaturalEarthFeature\n", |
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"\n", |
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"from wrf import to_np, getvar, smooth2d, get_cartopy, cartopy_xlim, cartopy_ylim, latlon_coords\n", |
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"\n", |
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"# Open the NetCDF file\n", |
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"ncfile = Dataset(\"/Users/ladwig/Documents/wrf_files/wrf_vortex_multi/wrfout_d01_2005-08-28_12:00:00\")\n", |
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"\n", |
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"# Get the sea level pressure\n", |
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"cfrac = getvar(ncfile, \"cfrac\")[2, :]\n", |
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"slp = getvar(ncfile, \"slp\")\n", |
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"\n", |
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"\n", |
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"# Get the latitude and longitude points\n", |
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"lats, lons = latlon_coords(ctt)\n", |
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"\n", |
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"# Get the cartopy mapping object\n", |
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"cart_proj = get_cartopy(ctt)\n", |
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"\n", |
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"# Create a figure\n", |
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"fig = plt.figure(figsize=(12,9))\n", |
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"# Set the GeoAxes to the projection used by WRF\n", |
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"ax = plt.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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"states = NaturalEarthFeature(category='cultural', scale='50m', facecolor='none',\n", |
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" name='admin_1_states_provinces_shp')\n", |
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"ax.add_feature(states, linewidth=.5)\n", |
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"ax.coastlines('50m', linewidth=0.8)\n", |
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"\n", |
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"# Make the contour outlines and filled contours for the smoothed sea level pressure.\n", |
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"levels = np.arange(0, 1.1, .1)\n", |
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"plt.contour(to_np(lons), to_np(lats), to_np(slp), 10, colors=\"black\",\n", |
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" transform=crs.PlateCarree())\n", |
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"plt.contourf(to_np(lons), to_np(lats), to_np(cfrac), levels=levels, transform=crs.PlateCarree(),\n", |
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" cmap=get_cmap(\"Greys_r\"))\n", |
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"\n", |
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"# Add a color bar\n", |
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"plt.colorbar(ax=ax, shrink=.88)\n", |
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"\n", |
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"# Set the map limits. Not really necessary, but used for demonstration.\n", |
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"ax.set_xlim(cartopy_xlim(ctt))\n", |
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"ax.set_ylim(cartopy_ylim(ctt))\n", |
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"\n", |
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"# Add the gridlines\n", |
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"ax.gridlines(color=\"black\", linestyle=\"dotted\")\n", |
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"\n", |
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"plt.title(\"Cloud Fraction\")\n", |
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"\n", |
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"plt.show()" |
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] |
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} |
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], |
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"metadata": { |
||||
"kernelspec": { |
||||
"display_name": "Python 2", |
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"language": "python", |
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"name": "python2" |
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}, |
||||
"language_info": { |
||||
"codemirror_mode": { |
||||
"name": "ipython", |
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"version": 2 |
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}, |
||||
"file_extension": ".py", |
||||
"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
||||
"pygments_lexer": "ipython2", |
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"version": "2.7.14" |
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} |
||||
}, |
||||
"nbformat": 4, |
||||
"nbformat_minor": 2 |
||||
} |
||||
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