http://water.weather.gov/precip/download.php Find where all the necessary data set files are located in your computer
In [14]:
cd ..
/Users/ChowdaHead/Desktop

In [3]:
from mpl_toolkits.basemap import Basemap, cm
# requires netcdf4-python (netcdf4-python.googlecode.com)
from scipy.io import netcdf
#from netCDF4 import Dataset as NetCDFFile
import numpy as np
import matplotlib.pyplot as plt
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matplotlib inline
In [15]:
# plot rainfall from NWS using special precipitation
# colormap used by the NWS, and included in basemap.

nc = netcdf.netcdf_file(‘nws_precip_conus_20131001.nc’)
#nc = NetCDFFile(‘nws_precip_conus_20151108.nc’)
# data from http://water.weather.gov/precip/
prcpvar = nc.variables[‘amountofprecip’]
data = 0.01*prcpvar[:]
latcorners = nc.variables[‘lat’][:]
loncorners = -nc.variables[‘lon’][:]
lon_0 = -nc.variables[‘true_lon’].getValue()
lat_0 = nc.variables[‘true_lat’].getValue()
# create figure and axes instances
fig = plt.figure(figsize=(8,8))
ax = fig.add_axes([0.1,0.1,0.8,0.8])
# create polar stereographic Basemap instance.
m = Basemap(projection=’stere’,lon_0=lon_0,lat_0=90.,lat_ts=lat_0,\
llcrnrlat=latcorners[0],urcrnrlat=latcorners[2],\
llcrnrlon=loncorners[0],urcrnrlon=loncorners[2],\
rsphere=6371200.,resolution=’l’,area_thresh=10000)
# draw coastlines, state and country boundaries, edge of map.
m.drawcoastlines()
m.drawstates()
m.drawcountries()
# draw parallels.
parallels = np.arange(0.,90,10.)
m.drawparallels(parallels,labels=[1,0,0,0],fontsize=10)
# draw meridians
meridians = np.arange(180.,360.,10.)
m.drawmeridians(meridians,labels=[0,0,0,1],fontsize=10)
ny = data.shape[0]; nx = data.shape[1]
lons, lats = m.makegrid(nx, ny) # get lat/lons of ny by nx evenly space grid.
x, y = m(lons, lats) # compute map proj coordinates.
# draw filled contours.
clevs = [0,1,2.5,5,7.5,10,15,20,30,40,50,70,100,150,200,250,300,400,500,600,750]
cs = m.contourf(x,y,data,clevs,cmap=cm.s3pcpn)
# add colorbar.
cbar = m.colorbar(cs,location=’bottom’,pad=”5%”)
cbar.set_label(‘mm’)
# add title
plt.title(prcpvar.long_name+’ for period ending ‘+prcpvar.dateofdata)
plt.show()

Trying to loop over multiple files
In [8]:
cd Desktop/
/Users/ChowdaHead/Desktop

In [9]:
cd CONUS_Precip_Nov8/
/Users/ChowdaHead/Desktop/CONUS_Precip_Nov8

In [11]:
# plot rainfall from NWS using special precipitation
# colormap used by the NWS, and included in basemap.

for i in range(11):
if i 4:
nc = netcdf.netcdf_file(‘nws_precip_conus_20’+str((i+5))+’1108.nc’)
#nc = NetCDFFile(‘nws_precip_conus_20151108.nc’)
# data from http://water.weather.gov/precip/
prcpvar = nc.variables[‘amountofprecip’]
data = 0.01*prcpvar[:]
latcorners = nc.variables[‘lat’][:]
loncorners = -nc.variables[‘lon’][:]
lon_0 = -nc.variables[‘true_lon’].getValue()
lat_0 = nc.variables[‘true_lat’].getValue()
# create figure and axes instances
fig = plt.figure(figsize=(8,8))
ax = fig.add_axes([0.1,0.1,0.8,0.8])
# create polar stereographic Basemap instance.
m = Basemap(projection=’stere’,lon_0=lon_0,lat_0=90.,lat_ts=lat_0,\
llcrnrlat=latcorners[0],urcrnrlat=latcorners[2],\
llcrnrlon=loncorners[0],urcrnrlon=loncorners[2],\
rsphere=6371200.,resolution=’l’,area_thresh=10000)
# draw coastlines, state and country boundaries, edge of map.
m.drawcoastlines()
m.drawstates()
m.drawcountries()
# draw parallels.
parallels = np.arange(0.,90,10.)
m.drawparallels(parallels,labels=[1,0,0,0],fontsize=10)
# draw meridians
meridians = np.arange(180.,360.,10.)
m.drawmeridians(meridians,labels=[0,0,0,1],fontsize=10)
ny = data.shape[0]; nx = data.shape[1]
lons, lats = m.makegrid(nx, ny) # get lat/lons of ny by nx evenly space grid.
x, y = m(lons, lats) # compute map proj coordinates.
# draw filled contours.
clevs = [0,1,2.5,5,7.5,10,15,20,30,40,50,70,100,150,200,250,300,400,500,600,750]
cs = m.contourf(x,y,data,clevs,cmap=cm.s3pcpn)
# add colorbar.
cbar = m.colorbar(cs,location=’bottom’,pad=”5%”)
cbar.set_label(‘mm’)
# add title
plt.title(prcpvar.long_name+’ for period ending ‘+prcpvar.dateofdata)
plt.show()

In [18]:
#for i in range(11):
for i in range(4):
if i 4:
nc = netcdf.netcdf_file(‘nws_precip_conus_20’+str((i+5))+’1108.nc’)

# data from http://water.weather.gov/precip/
prcpvar = nc.variables[‘amountofprecip’]
data = 0.01*prcpvar[:]
latcorners = nc.variables[‘lat’][:]
loncorners = -nc.variables[‘lon’][:]
lon_0 = -nc.variables[‘true_lon’].getValue()
lat_0 = nc.variables[‘true_lat’].getValue()
# create figure and axes instances
fig = plt.figure(figsize=(8,8))
ax = fig.add_axes([0.1,0.1,0.8,0.8])
# create polar stereographic Basemap instance.
m = Basemap(projection=’stere’,lon_0=lon_0,lat_0=90.,lat_ts=lat_0,\
llcrnrlat=latcorners[0],urcrnrlat=latcorners[2],\
llcrnrlon=loncorners[0],urcrnrlon=loncorners[2],\
rsphere=6371200.,resolution=’l’,area_thresh=10000)
# draw coastlines, state and country boundaries, edge of map.
m.drawcoastlines()
m.drawstates()
m.drawcountries()
# draw parallels.
parallels = np.arange(0.,90,10.)
m.drawparallels(parallels,labels=[1,0,0,0],fontsize=10)
# draw meridians
meridians = np.arange(180.,360.,10.)
m.drawmeridians(meridians,labels=[0,0,0,1],fontsize=10)
ny = data.shape[0]; nx = data.shape[1]
lons, lats = m.makegrid(nx, ny) # get lat/lons of ny by nx evenly space grid.
x, y = m(lons, lats) # compute map proj coordinates.
# draw filled contours.
clevs = [0,1,2.5,5,7.5,10,15,20,30,40,50,70,100,150,200,250,300,400,500,600,750]
cs = m.contourf(x,y,data,clevs,cmap=cm.s3pcpn)
# add colorbar.
cbar = m.colorbar(cs,location=’bottom’,pad=”5%”)
cbar.set_label(‘mm’)
# add title
plt.title(prcpvar.long_name+’ for period ending ‘+prcpvar.dateofdata)
plt.show()