initial commit

input_shapefile/Carolinas_Merc.cpg

+UTF-8
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input_shapefile/Carolinas_Merc.prj

+PROJCS["WGS_1984_World_Mercator",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],UNIT["Meter",1.0]]
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input_shapefile/Carolinas_Merc.shp.xml

+<?xml version="1.0"?>
+<!--<!DOCTYPE metadata SYSTEM "http://www.esri.com/metadata/esriprof80.dtd">-->
+<metadata xml:lang="en"><Esri><CreaDate>20210105</CreaDate><CreaTime>15221000</CreaTime><SyncOnce>TRUE</SyncOnce><DataProperties><lineage><Process Name="Create Feature Class" ToolSource="C:\ESRI\ARCGIS\ArcToolbox\Toolboxes\Data Management Tools.tbx\CreateFeatureclass" Date="20061101" Time="202813">CreateFeatureclass C:\ESRI\AEJEE_XTRA\AEJEE23data\usa states # states_Layer SAME_AS_TEMPLATE SAME_AS_TEMPLATE "GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]];-178.217598362366 18.921786345087 999999.999068677;0 100000;0 100000" # 0 0 0 C:\ESRI\AEJEE_XTRA\AEJEE23data\usa\states.shp</Process><Process Name="Append" ToolSource="C:\ESRI\ARCGIS\ArcToolbox\Toolboxes\Data Management Tools.tbx\Append" Date="20061101" Time="202813">Append states_Layer C:\ESRI\AEJEE_XTRA\AEJEE23data\usa\states.shp TEST C:\ESRI\AEJEE_XTRA\AEJEE23data\usa\states.shp</Process><Process Name="FeatureClassToFeatureClass_3" ToolSource="C:\ESRI\ARCGIS\ArcToolbox\Toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass" Date="20061101" Time="202814">FeatureClassToFeatureClass D:\usa\census\states.sdc\states C:\ESRI\AEJEE_XTRA\AEJEE23data\usa states # "STATE_NAME STATE_NAME VISIBLE;STATE_FIPS STATE_FIPS VISIBLE;SUB_REGION SUB_REGION VISIBLE;STATE_ABBR STATE_ABBR VISIBLE;POP2000 POP2000 VISIBLE;POP2005 POP2005 VISIBLE;POP00_SQMI POP00_SQMI VISIBLE;POP05_SQMI POP05_SQMI VISIBLE;WHITE WHITE VISIBLE;BLACK BLACK VISIBLE;AMERI_ES AMERI_ES VISIBLE;ASIAN ASIAN VISIBLE;HAWN_PI HAWN_PI VISIBLE;OTHER OTHER VISIBLE;MULT_RACE MULT_RACE VISIBLE;HISPANIC HISPANIC VISIBLE;MALES MALES VISIBLE;FEMALES FEMALES VISIBLE;AGE_UNDER5 AGE_UNDER5 VISIBLE;AGE_5_17 AGE_5_17 VISIBLE;AGE_18_21 AGE_18_21 VISIBLE;AGE_22_29 AGE_22_29 VISIBLE;AGE_30_39 AGE_30_39 VISIBLE;AGE_40_49 AGE_40_49 VISIBLE;AGE_50_64 AGE_50_64 VISIBLE;AGE_65_UP AGE_65_UP VISIBLE;MED_AGE MED_AGE VISIBLE;MED_AGE_M MED_AGE_M VISIBLE;MED_AGE_F MED_AGE_F VISIBLE;HOUSEHOLDS HOUSEHOLDS VISIBLE;AVE_HH_SZ AVE_HH_SZ VISIBLE;HSEHLD_1_M HSEHLD_1_M VISIBLE;HSEHLD_1_F HSEHLD_1_F VISIBLE;MARHH_CHD MARHH_CHD VISIBLE;MARHH_NO_C MARHH_NO_C VISIBLE;MHH_CHILD MHH_CHILD VISIBLE;FHH_CHILD FHH_CHILD VISIBLE;FAMILIES FAMILIES VISIBLE;AVE_FAM_SZ AVE_FAM_SZ VISIBLE;HSE_UNITS HSE_UNITS VISIBLE;VACANT VACANT VISIBLE;OWNER_OCC OWNER_OCC VISIBLE;RENTER_OCC RENTER_OCC VISIBLE;NO_FARMS97 NO_FARMS97 VISIBLE;AVG_SIZE97 AVG_SIZE97 VISIBLE;CROP_ACR97 CROP_ACR97 VISIBLE;AVG_SALE97 AVG_SALE97 VISIBLE;SQMI SQMI VISIBLE" SAME_AS_TEMPLATE SAME_AS_TEMPLATE # 0 C:\ESRI\AEJEE_XTRA\AEJEE23data\usa\states.shp</Process><Process ToolSource="c:\program files (x86)\arcgis\desktop10.6\ArcToolbox\Toolboxes\Data Management Tools.tbx\Project" Date="20210105" Time="152213">Project Carolinas_LCC E:\jared\Shapefiles\Carolinas_Merc.shp PROJCS['WGS_1984_World_Mercator',GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Mercator'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',0.0],PARAMETER['Standard_Parallel_1',0.0],UNIT['Meter',1.0]] WGS_1984_(ITRF00)_To_NAD_1983 PROJCS['USA_Contiguous_Lambert_Conformal_Conic',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Lambert_Conformal_Conic'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-96.0],PARAMETER['Standard_Parallel_1',33.0],PARAMETER['Standard_Parallel_2',45.0],PARAMETER['Latitude_Of_Origin',39.0],UNIT['Meter',1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL</Process></lineage></DataProperties><ArcGISFormat>1.0</ArcGISFormat></Esri></metadata>

plot_nclimgrid_daily.py

+#!/usr/bin/python
+
+#####################################################################
+# plot_nclimgrid_daily.py
+#
+# *AUTHOR*
+# Written By: Jared Rennie (@jjrennie)
+#
+# *DESCRIPTION*
+# Takes nClimGrid daily data and plots for a given day. 2 plots
+# are generated. 1 for CONUS, one for the Carolinas (NC and SC).
+#
+# *INPUT DATA LOCATION* 
+# I have provided some data in the source/ directory, however the
+# latest data is below:
+# 
+# WWW: https://www.ncei.noaa.gov/pub/data/daily-grids/beta/by-month/
+# AWS S3: s3://noaa-nclimgrid-daily-pds/beta/by-month/
+#
+# *HOW TO RUN*
+# python plot_nclimgrid_daily.py 2021 07 24 tmax
+#####################################################################
+
+# Import Modules
+import numpy as np
+import numpy.ma as ma
+import sys, time, datetime, math, calendar
+
+import xarray as xr
+import geopandas as gpd
+import rioxarray
+
+import matplotlib as mpl
+mpl.use('Agg')
+import matplotlib.pyplot as plt
+import matplotlib.colors as mcolors
+
+import cartopy
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
+import cartopy.io.shapereader as shpreader
+from cartopy.feature import ShapelyFeature
+from shapely.geometry import mapping
+from metpy.plots import USCOUNTIES
+
+# Declare User Directories
+main_directory="."
+dataset_directory=main_directory+'/input_nclimgrid'
+shapefile_directory=main_directory+'/input_shapefile'
+out_directory=main_directory+"/results_plots"
+
+#################################################
+# BEGIN PROGRAM
+start=time.time()
+
+# Read in Arguments 
+if len(sys.argv) < 5:
+    sys.exit("USAGE: <YYYY> <MM> <DD> <ELEMENT>")
+year= sys.argv[1]
+month= sys.argv[2]
+day= sys.argv[3]
+element= sys.argv[4]
+
+# Get some Info Based on Date
+day_counter=int(day) 
+current_date="%04i%02i%02i" % (int(year),int(month),int(day))
+current_month="%04i%02i" % (int(year),int(month))
+day_pos=datetime.datetime(int(year),int(month),int(day)).timetuple().tm_yday
+if not calendar.isleap(int(year)) and int(month) >=3:
+    day_pos+=1
+
+# Set info based on Element
+if element == "tmax" or element == "tmin" or element == "tavg":
+    unit='°F'
+    if element=='tmax':
+        element_name='Maximum Temperature'
+    if element=='tmin':
+        element_name='Minimum Temperature'    
+    if element=='tavg':
+        element_name='Average Temperature'
+
+    # Set Up Color Map
+    cmap='RdYlBu_r' 
+    bounds=np.array([0,10,20,30,40,50,60,70,80,90,100,110])   
+        
+if element == "prcp":
+    unit='inches'  
+    element_name='Precipitation'
+
+    # Set Up Color Map
+    cmap='YlGnBu' 
+    bounds=np.array([0.01,0.10,0.25,0.50,0.75,1.00,2.00,3.00,4.00], dtype='f')
+
+# Set up some other Plotting info
+dpi=300
+plt.style.use('dark_background')
+
+#################################################
+# READ IN DATA
+
+# Grab Daily nClimGrid Data (1 File Per Month)
+infile_monthly=dataset_directory+'/'+str(element)+'-'+str(current_month)+'-grd.nc'
+print('READING IN nClimGrid DATA: ',infile_monthly)
+data_monthly = xr.open_dataset(infile_monthly)
+
+# Get Lat/Lons
+nclimgrid_lats=data_monthly.lat.values
+nclimgrid_lons=data_monthly.lon.values
+
+# Set Up Spatial Configurations of nClimGrid Data (For Clipping Purposes)
+data_monthly=data_monthly.rio.set_spatial_dims(x_dim="lon", y_dim="lat", inplace=True)
+data_monthly=data_monthly.rio.write_crs('epsg:4326', inplace=True)
+
+# Read in Carolinas Shapefile For Clipping Purposes
+input_shapefile=shapefile_directory+'/Carolinas_Merc.shp'
+geo_shapefile = gpd.read_file(input_shapefile)
+projection=geo_shapefile.crs
+
+# Clip CONUS Data By Carolinas
+data_monthly_clip=data_monthly.rio.clip(geo_shapefile.geometry.apply(mapping), geo_shapefile.crs, drop=False)
+
+# Get Data, Convert from metric
+if element == 'prcp':
+    conus_value=(data_monthly[element].values[day_counter-1,:,:] * 0.0393701)  
+    carolinas_value=(data_monthly_clip[element].values[day_counter-1,:,:] * 0.0393701)  
+else:
+    conus_value=(data_monthly[element].values[day_counter-1,:,:] * 1.8) + 32.
+    carolinas_value=(data_monthly_clip[element].values[day_counter-1,:,:] * 1.8) + 32.
+
+#################################################
+# PLOTTING CONUS
+print("PLOTTING CONUS")
+
+# Set Up Colorbar info
+vmin=np.min(bounds)
+vmax=np.max(bounds)
+extend='both'
+norm = mcolors.BoundaryNorm(boundaries=bounds, ncolors=256)
+cm = plt.cm.ScalarMappable(cmap=cmap)
+cm.set_array(np.array(conus_value))
+cm.set_clim(vmin, vmax)
+
+# Set CONUS Bounds
+minLat = 22    
+maxLat = 50   
+minLon = -120 
+maxLon = -73 
+
+# Set Up Figure
+fig= plt.figure(num=1, figsize=(8,5), dpi=dpi, facecolor='w', edgecolor='k')
+ax = fig.add_axes([0, 0, 1, 1], projection=ccrs.LambertConformal())
+ax.set_extent([minLon, maxLon, minLat, maxLat], crs=ccrs.Geodetic())
+ax.set_facecolor('black')
+
+# Add Boundaries
+ax.add_feature(cfeature.COASTLINE,linewidth=0.5)
+ax.add_feature(cfeature.BORDERS,linewidth=0.5)
+ax.add_feature(cfeature.STATES,linewidth=0.5)
+
+# Plot Data
+ax.pcolormesh(nclimgrid_lons, nclimgrid_lats, conus_value,transform=ccrs.PlateCarree(),cmap=cmap,norm=norm,vmin=vmin,vmax=vmax)
+
+# Add Colorbar
+cax = fig.add_axes([0.1, -0.035, 0.8, 0.03])
+cbar=plt.colorbar(cm, cax=cax,boundaries=bounds,orientation='horizontal',extend=extend,spacing='uniform')
+cbar.ax.tick_params(labelsize=15)
+cbar.set_label(unit,size=15)
+
+# Annotate Info On Graphic
+nclimgrid_max="%6.1f" % np.nanmax(conus_value)
+nclimgrid_min="%6.1f" % np.nanmin(conus_value)
+plt.annotate('Source: nClimGrid Daily\nMade By: @jjrennie',xy=(1.045, -3.51), xycoords='axes fraction', fontsize=7,color='white',horizontalalignment='right', verticalalignment='bottom')
+if element == "prcp":
+    plt.annotate('MAX: '+str(nclimgrid_max)+'"\nMIN: '+str(nclimgrid_min)+'"',xy=(0.045, -3.51), xycoords='axes fraction', fontsize=7,color='white',horizontalalignment='right', verticalalignment='bottom')
+else:
+    plt.annotate('MAX: '+str(nclimgrid_max)+'°F\nMIN: '+str(nclimgrid_min)+'°F',xy=(0.045, -3.51), xycoords='axes fraction', fontsize=7,color='white',horizontalalignment='right', verticalalignment='bottom')
+
+# Add Title and Save to File
+plt.suptitle('Daily '+element_name+' for '+current_date,size=17,color='white',y=1.05) 
+plt.savefig(out_directory+'/nclimgrid-conus_'+element+'_'+current_date+'.png', format='png', dpi=dpi,bbox_inches='tight')
+plt.clf()
+plt.close()
+
+#################################################
+# PLOTTING CAROLINAS
+print("PLOTTING CAROLINAS")
+
+# Set Up Colorbar info
+vmin=np.min(bounds)
+vmax=np.max(bounds)
+extend='both'
+norm = mcolors.BoundaryNorm(boundaries=bounds, ncolors=256)
+cm = plt.cm.ScalarMappable(cmap=cmap)
+cm.set_array(np.array(carolinas_value))
+cm.set_clim(vmin, vmax)
+
+# Set Carolinas Bounds
+minLat = 31.75   
+maxLat = 36.75
+minLon = -85 
+maxLon = -75
+
+# Set Up Figure
+fig= plt.figure(num=1, figsize=(8,5), dpi=dpi, facecolor='w', edgecolor='k')
+ax = fig.add_axes([0, 0, 1, 1], projection=ccrs.Mercator())
+ax.set_extent([minLon, maxLon, minLat, maxLat], crs=ccrs.Geodetic())
+ax.set_facecolor('#4a4a4a')
+
+# Add Boundaries
+ax.add_feature(USCOUNTIES.with_scale('500k'),linewidth=0.25,edgecolor='#4a4a4a')
+car_bnds = ShapelyFeature(shpreader.Reader(input_shapefile).geometries(),ccrs.Mercator(), facecolor='none',edgecolor='black',linewidth=2)
+ax.add_feature(car_bnds,zorder=9)
+
+# Plot Data
+ax.pcolormesh(nclimgrid_lons, nclimgrid_lats, carolinas_value,transform=ccrs.PlateCarree(),cmap=cmap,norm=norm,vmin=vmin,vmax=vmax)
+
+# Add Colorbar
+cax = fig.add_axes([0.1, -0.035, 0.8, 0.03])
+cbar=plt.colorbar(cm, cax=cax,boundaries=bounds,orientation='horizontal',extend=extend,spacing='uniform')
+cbar.ax.tick_params(labelsize=15)
+cbar.set_label(unit,size=15)
+
+# Annotate Info On Graphic
+nclimgrid_max="%6.1f" % np.nanmax(carolinas_value)
+nclimgrid_min="%6.1f" % np.nanmin(carolinas_value)
+plt.annotate('Source: nClimGrid Daily\nMade By: @jjrennie',xy=(1.045, -3.51), xycoords='axes fraction', fontsize=7,color='white',horizontalalignment='right', verticalalignment='bottom')
+if element == "prcp":
+    plt.annotate('MAX: '+str(nclimgrid_max)+'"\nMIN: '+str(nclimgrid_min)+'"',xy=(0.045, -3.51), xycoords='axes fraction', fontsize=7,color='white',horizontalalignment='right', verticalalignment='bottom')
+else:
+    plt.annotate('MAX: '+str(nclimgrid_max)+'°F\nMIN: '+str(nclimgrid_min)+'°F',xy=(0.045, -3.51), xycoords='axes fraction', fontsize=7,color='white',horizontalalignment='right', verticalalignment='bottom')
+
+# Add Title and Save to File
+plt.suptitle('Daily '+element_name+' for '+current_date,size=17,color='white',y=1.05) 
+plt.savefig(out_directory+'/nclimgrid-carolinas_'+element+'_'+current_date+'.png', format='png', dpi=dpi,bbox_inches='tight')
+plt.clf()
+plt.close()
+
+####################
+# DONE
+####################
+print("DONE!")
+end=time.time()
+print("Runtime: %8.1f seconds." % (end-start)) 
+sys.exit()
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