I created a netCDF-File with xarray for inputting topography height info, surface type info etc. into a numerical weather prediction model. I managed to create a file, however, the model requires the different variables to be different data types.
My dataset bolund_static looks as follows:
<xarray.Dataset>
Dimensions: (x: 800, y: 200)
Coordinates:
* y (y) float64 1.0 3.0 5.0 7.0 9.0 ... 393.0 395.0 397.0 399.0
* x (x) float64 1.0 3.0 5.0 ... 1.595e+03 1.597e+03 1.599e+03
Data variables:
zt (y, x) float64 1.0 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0 1.0
vegetation_type (y, x) float64 -127.0 -127.0 -127.0 ... -127.0 -127.0
water_type (y, x) float64 3.0 3.0 3.0 3.0 3.0 ... 3.0 3.0 3.0 3.0 3.0
soil_type (y, x) float64 -127.0 -127.0 -127.0 ... -127.0 -127.0
pavement_type (y, x) float64 -127.0 -127.0 -127.0 ... -127.0 -127.0
Attributes:
version: 1
origin_z: 0.0
origin_y: 694682.098
origin_x: 6177441.825
origin_lat: 12.098271
origin_lon: 55.70364
rotation_angle: 0.0
palm_version: 6.0
origin_time: 2019-04-01 12:00:00 +01
Saving this array with bolund_static.to_netcdf(), it saves all variables as double datatypes. This info I got by making an ncdump of the created netcdf-file.
netcdf bolund_static {
dimensions:
y = 200 ;
x = 800 ;
variables:
double y(y) ;
y:_FillValue = NaN ;
double x(x) ;
x:_FillValue = NaN ;
double zt(y, x) ;
zt:_FillValue = NaN ;
double vegetation_type(y, x) ;
vegetation_type:_FillValue = NaN ;
double water_type(y, x) ;
water_type:_FillValue = NaN ;
double soil_type(y, x) ;
soil_type:_FillValue = NaN ;
double pavement_type(y, x) ;
pavement_type:_FillValue = NaN ;
// global attributes:
:version = 1 ;
:origin_z = 0. ;
:origin_y = 694682.098 ;
:origin_x = 6177441.825 ;
:origin_lat = 12.098271 ;
:origin_lon = 55.70364 ;
:rotation_angle = 0. ;
:palm_version = 6. ;
:origin_time = "2019-04-01 12:00:00 +01" ;
data: <...>
I would need vegetation_type, water_type, soil_type and pavement_type to be of type NC_BYTE instead of NC_DOUBLE after exporting, and x,y,zt as NC_FLOAT. How would I go about changing these datatypes? Is that possible from within the xarray/Python environment?