Added code to dump netcdf files to ascii; trim original netcdf files of unused data

src/dump_nc_files.py

+__author__ = 'abuddenberg'
+
+from config import NA_SCENARIOS_FILES, GLOBAL_PRECIP_FILES
+from netCDF4 import Dataset
+
+for scenario in NA_SCENARIOS_FILES:
+    nc = Dataset(NA_SCENARIOS_FILES[scenario], 'r')
+    # print nc.variables['lon'][9], nc.variables['lat'][23], nc.variables['MAM_percent_change'][23, 9]
+
+    with open('../data/pr_{s}_1970-1999_2071-2099.txt'.format(s=scenario.lower().replace('.', '')), 'w') as out_file:
+        print nc.variables.keys()
+
+        out_file.write('{0:>8} {1:>14} {2:18} {3:11} {4:18} {5:11} {6:18} {7:11} {8:18} {9:11}\n'.format(
+            'Lon',
+            'Lat',
+            'DJF_percent_change',
+            'DJF_stipple',
+            'MAM_percent_change',
+            'MAM_stipple',
+            'JJA_percent_change',
+            'JJA_stipple',
+            'SON_percent_change',
+            'SON_stipple'
+        ))
+        for lon_idx, lon in enumerate(nc.variables['lon'][:]):
+            for lat_idx, lat in enumerate(nc.variables['lat'][:]):
+
+                out_file.write(
+                    '{lon:>8} {lat: 14.10f} {djf: 18.3f} {djf_s:11.1f} {mam: 18.3f} {mam_s:11.1f} {jja: 18.3f} {jja_s:11.1f} {son: 18.3f} {son_s:11.1f}\n'.format(
+                        lon=lon,
+                        lat=lat,
+                        djf=nc.variables['DJF_percent_change'][lat_idx, lon_idx],
+                        djf_s=nc.variables['DJF_stipple'][lat_idx, lon_idx],
+                        mam=nc.variables['MAM_percent_change'][lat_idx, lon_idx],
+                        mam_s=nc.variables['MAM_stipple'][lat_idx, lon_idx],
+                        jja=nc.variables['JJA_percent_change'][lat_idx, lon_idx],
+                        jja_s=nc.variables['JJA_stipple'][lat_idx, lon_idx],
+                        son=nc.variables['SON_percent_change'][lat_idx, lon_idx],
+                        son_s=nc.variables['SON_stipple'][lat_idx, lon_idx],
+                    )
+                )
+
+for file, _unused in GLOBAL_PRECIP_FILES:
+    nc = Dataset(file, 'r')
+    print nc.variables['lon'][9], nc.variables['lat'][23], nc.variables['annual_percent_change'][23, 9]
+    scenario = file.split('_')[3]
+
+    with open('../data/pr_{s}_global_1970-1999_2071-2099.txt'.format(s=scenario.lower().replace('.', '')), 'w') as out_file:
+        print nc.variables.keys()
+
+        out_file.write('{0:>9} {1:>14} {2:21} {3:14}\n'.format(
+            'Lon',
+            'Lat',
+            'annual_percent_change',
+            'annual_stipple',
+        ))
+        for lon_idx, lon in enumerate(nc.variables['lon'][:]):
+            for lat_idx, lat in enumerate(nc.variables['lat'][:]):
+
+                out_file.write(
+                    '{lon:>9} {lat: 14.10f} {ann: 21.3f} {ann_s:14.1f}\n'.format(
+                        lon=lon,
+                        lat=lat,
+                        ann=nc.variables['annual_percent_change'][lat_idx, lon_idx],
+                        ann_s=nc.variables['annual_stipple'][lat_idx, lon_idx],
+                    )
+                )
+
+    nc_out = Dataset('../data/pr_{s}_1970-1999_2071-2099_global_percent_change.nc'.format(s=scenario.lower().replace('.', '')), 'w')
+    nc_out.createDimension('lat', size=nc.variables['lat'].size)
+    nc_out.createDimension('lon', size=nc.variables['lon'].size)
+
+    latitude = nc_out.createVariable('lat', 'f8', ('lat',))
+    latitude.units = "degrees_north"
+    latitude.long_name = "latitude"
+    latitude.standard_name = "latitude"
+    latitude.axis = "Y"
+    latitude[:] = nc.variables['lat'][:]
+
+    longitude = nc_out.createVariable('lon', 'f8', ('lon',))
+    longitude.modulo = 360.
+    longitude.long_name = "longitude"
+    longitude.standard_name = "longitude"
+    longitude.units = "degrees_east"
+    longitude.axis = "X"
+    longitude.topology = "circular"
+    longitude[:] = nc.variables['lon'][:]
+
+    annual_change = nc_out.createVariable('annual_percent_change', 'f8', ('lat', 'lon'))
+    annual_change.unit = 'Percent'
+    annual_change.missing_value = 1.
+    annual_change[:] = nc.variables['annual_percent_change'][:]
+
+    nc_out.close()
+
+    new_nc = Dataset('../data/pr_{s}_1970-1999_2071-2099_global_percent_change.nc'.format(s=scenario.lower().replace('.', '')), 'r')
+    print new_nc.variables['lon'][9], new_nc.variables['lat'][23], new_nc.variables['annual_percent_change'][23, 9]
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