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  | from numpy import * | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib | |
| import matplotlib.pyplot as plt | |
| matplotlib.style.use('ggplot') | |
| #read in the .dat file | |
| DataIn = np.genfromtxt('CZC\czc13may.dat', delimiter=',', skip_header=1, ) | 
  
    
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  | library(sp) | |
| library(raster) | |
| library(rgdal) | |
| reference <- raster("D:\\ClipGridv1\\ca_270m_v8.asc") | |
| projection(reference) <- "+proj=aea +lat_1=34 +lat_2=40.5 +lat_0=0 +lon_0=-120 +x_0=0 +y_0=-4000000 +ellps=GRS80 +datum=NAD83 +units=m +no_defs" | |
| teale <- CRS("+proj=aea +lat_1=34 +lat_2=40.5 +lat_0=0 +lon_0=-120 +x_0=0 +y_0=-4000000 +ellps=GRS80 +datum=NAD83 +units=m +no_defs") | |
| #resample DEM at 4km | |
| reference4k <- raster("D:\\Metgrid\\PRISM_daily\\reference4k.tif") |