w142236
commented
3 years ago I feel like a total moron right now. I turned to the iris method because the standard method did not work. Turns our that when you use netCDF4's Dataset function, you get the type numpy.ma.core.MaskedArray. All I had to do to get the standard method to work was to put the array inside np.array() to convert it into a numpy.marray as the documentation states it has to be, and it worked.
For anyone wondering exactly how I got it to work, here is my code:
from windspharm.standard import VectorWind
import numpy as np
import netCDF4 as nc
from netCDF4 import Dataset
file = '2020042412_plev_era5.nc'
fh = Dataset(file)
FIX STARTS HERE
u = np.array(fh.variables['u'][:]) #put inside np.array() here
v = np.array(fh.variables['v'][:])
END OF FIX
w = VectorWind(u, v)
uchi, vchi = w.irrotationalcomponent() #Now Works
Not sure why this didn't work when I put the data into iris cubes, but the standard form works.
I am trying to regrid my data which is on a global grid (just like in case #77), but when I try to regrid the data by running:
u.regrid(v, iris.analysis.Linear())as was done by Corinne77 I get the following error:ValueError: Cube 'U velocity' must contain a single 1D x coordinate.The data file that I am using can be found in my dropbox here
My full code is:
import xarray as xrimport irisfrom windspharm.iris import VectorWindimport numpy as npfile = '2020042412_plev_era5.nc'da = xr.open_dataset(file)u_0 = da['u'][0] #level = 100hPav_0 = da['v'][0] #level = 100hPau = u_0.to_iris() #convert to iris from xarrayv = v_0.to_iris()u.regrid(v, iris.analysis.Linear()) #Fails hereI know it is probably inappropriate to post this question here as this is more of an iris inquiry than a windspharm inquiry, but I figured someone here might have some insight as to how to deal with this issue. This is the first time I have ever used Windspharm and it is also the first time that I have ever used iris so I don't really know what I am doing to begin with. Any help would be appreciated.