I'm getting an error when trying to write the output from a metpy calculation to a netcdf file using xarray:
TypeError: Argument 'data' has incorrect type (expected numpy.ndarray, got Quantity)
This seems like its a result of metpy including unit information, and turning the data of the variable into a Pint.Quantity, rather than a np.ndarray, but I can't figure out a way to convert between the two while keeping it in xarray (which I want to do to maintain the coordinate data).
Here's example code (using NCEP air temperature reanlysis):
import xarray as xr
import metpy.calc as mpcalc
data = xr.open_dataset('air.2005.nc')
data['theta'] = mpcalc.potential_temperature(data['level'], data['air'])
data.to_netcdf('theta.2005.nc')
This gives the error:
TypeError: Argument 'data' has incorrect type (expected numpy.ndarray, got Quantity)
after doing the theta calculation, data looks like:
<xarray.Dataset>
Dimensions: (lat: 91, level: 17, lon: 180, time: 365)
Coordinates:
* time (time) datetime64[ns] 2005-01-01 2005-01-02 ... 2005-12-31
* lon (lon) float64 -180.0 -178.0 -176.0 -174.0 ... 174.0 176.0 178.0
* lat (lat) float64 -90.0 -88.0 -86.0 -84.0 -82.0 ... 84.0 86.0 88.0 90.0
* level (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0
Data variables:
air (time, level, lat, lon) float32 ...
theta (level, time, lat, lon) float32 <Quantity([[[[272.32 272.32 ...
Attributes:
CDI: Climate Data Interface version 1.9.8 (https://mpimet.mpg....
Conventions: COARDS
history: Wed Nov 25 14:51:47 2020: cdo remap,twoDegreeGrid,remapwe...
title: 4x daily NMC reanalysis (2005)
description: Data is from NMC initialized reanalysis\n(4x/day). It co...
platform: Model
References: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reana...
dataset_title: NCEP-NCAR Reanalysis 1
CDO: Climate Data Operators version 1.9.8 (https://mpimet.mpg....
Is it possible to get the output from the metpy calculation to write to netCDF?