Created
November 8, 2017 20:44
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from shapely.geometry import Point | |
import ocgis | |
path = '/path/to/data.nc' | |
lat_variable = 'XLAT' | |
lon_variable = 'XLONG' | |
lat_dimension = 'south_north' | |
lon_dimension = 'west_east' | |
data_variables = ['T2'] | |
# Load the field from disk and modify it before passing it to operations. Operations can take a request dataset | |
# a field. | |
field = ocgis.RequestDataset(path, variable=data_variables).get() | |
# Remove the time dimension from the spatial coordinate variables. | |
for cv in [lat_variable, lon_variable]: | |
var = field[cv] | |
new_dimensions = var.dimensions[1:] | |
var.reshape(new_dimensions) | |
# Update the field's metadata so it knows where the x/y coordinate variables are. | |
field.set_x(field[lon_variable], dimension=lon_dimension) | |
field.set_y(field[lat_variable], dimension=lat_dimension) | |
# Create and set the coordinate system. | |
lcc = ocgis.CRS( | |
proj4='+proj=lcc +a=6370000.0m +b=6370000.0m +lon_0=97.00w +lat_1=33.00n +lat_2=45.00n +lat_0=40.00n +units=m +no_defs', | |
name='rpolcc') | |
field.set_crs(lcc) | |
# Run operations and write to netCDF. | |
geom = [{'geom': Point(20, 2), 'crs': lcc}] | |
ops = ocgis.OcgOperations(dataset=field, geom=geom, output_format='nc') | |
ret = ops.execute() |
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