Geomtrophic and Ageostrophic Wind problem in the

[takayanamba99]

On the line of Geomtrophic and Ageostrophic Wind, geo_wind_u, geo_wind_v = mpcalc.geostrophic_wind(height * units.m, f, dx, dy)

the error happened like

ValueError: This function changed in 1.0--double check that the function is being called properly. geostrophic_wind given arguments with incorrect units: dx requires "[length]" but given "1 / second", latitude requires "[dimensionless]" but given "meter"

Could you tell me how to solve the problem?

[dcamron]

That example is very out of date, as are many others on this repository at this moment. Please explore examples in the MetPy docs example gallery instead until we close this issue.

I can still help from here. That function signature has been updated a few times since, check out the documentation or in your particular python install (here, the latest version of MetPy, 1.4) with:

>>> import metpy.calc as mpcalc
>>> help(mpcalc.geostrophic_wind)
Help on function geostrophic_wind in module metpy.calc:

geostrophic_wind(height, dx=None, dy=None, latitude=None, x_dim=-1, y_dim=-2, *, parallel_scale=None, meridional_scale=None, longitude=None, crs=None)
    Calculate the geostrophic wind given from the height or geopotential.
...

where we can see that the inputs I'm providing my function don't match up. So, on MetPy 1.4, that particular line could be re-written (without any other changes) as

geo_wind_u, geo_wind_v = mpcalc.geostrophic_wind(height * units.m, dx=dx, dy=dy, latitude=lat_2d)

---

Since MetPy 1.4, there are few ways you can do this without calculating dx, dy by hand, and if you're using xarray you can simplify this much further!

...  #continued from the original example
data = ncss.get_data(query)

import xarray as xr
ds = xr.open_dataset(xr.backends.NetCDF4DataStore(data))

geo_wind_u, geo_wind_v = mpcalc.geostrophic_wind(ds['Geopotential_height_isobaric'])

Note, if you use xarray with your own netcdf files, or most remote data not accessed using NCSS + netcdf4-python (as in this example), you won't need the xr.backends.NetCDF4DataStore bit, and your script might just look like

import metpy.calc as mpcalc
import xarray as xr

ds = xr.open_dataset('my_data.nc')

mpcalc.geostrophic_wind(my_data['my_height_variable'])

🎉 Hope this helps. Please start a new discussion here if you have further issues or visit the other MetPy support venues if needed. Be sure to update your install of MetPy!

[takayanamba99]

Thank you for the suggestion. It seems to work on the part below you suggested After the part, on # Create new figure the error took place and didn't make the same figures (without geostrophic and ageostrophic winds)

The part you suggested seems to work

import xarray as xr ds = xr.open_dataset(xr.backends.NetCDF4DataStore(data)) geo_wind_u, geo_wind_v = mpcalc.geostrophic_wind(ds['Geopotential_height_isobaric']) geo_wind_u = geo_wind_u geo_wind_v = geo_wind_v

Calculate ageostrophic wind components

ageo_wind_u = u_wind - geo_wind_u ageo_wind_v = v_wind - geo_wind_v

================== # Create new figure An error took place as

ValueError Traceback (most recent call last) in 32 u_wind[quiver_slices], v_wind[quiver_slices], 33 color='blue', **quiver_kwargs) ---> 34 geo = ax.quiver(lon_2d[quiver_slices], lat_2d[quiver_slices], 35 geo_wind_u[quiver_slices], geo_wind_v[quiver_slices], 36 color='darkorchid', **quiver_kwargs)

/opt/miniconda3/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py in wrapper(self, *args, **kwargs) 316 317 kwargs['transform'] = transform --> 318 return func(self, *args, **kwargs) 319 return wrapper 320

/opt/miniconda3/lib/python3.9/site-packages/cartopy/mpl/geoaxes.py in quiver(self, x, y, u, v, *args, **kwargs) 2092 x, y = np.meshgrid(x, y) 2093 u, v = self.projection.transform_vectors(t, x, y, u, v) -> 2094 return super().quiver(x, y, u, v, *args, **kwargs) 2095 2096 @_add_transform

/opt/miniconda3/lib/python3.9/site-packages/matplotlib/init.py in inner(ax, data, *args, **kwargs) 1445 def inner(ax, *args, data=None, **kwargs): 1446 if data is None: -> 1447 return func(ax, *map(sanitize_sequence, args), **kwargs) 1448 1449 bound = new_sig.bind(ax, *args, **kwargs)

/opt/miniconda3/lib/python3.9/site-packages/matplotlib/axes/_axes.py in quiver(self, *args, **kw) 5019 args = self._quiver_units(args, kw) 5020 -> 5021 q = mquiver.Quiver(self, *args, **kw) 5022 5023 self.add_collection(q, autolim=True)

/opt/miniconda3/lib/python3.9/site-packages/matplotlib/quiver.py in init(self, ax, scale, headwidth, headlength, headaxislength, minshaft, minlength, units, scale_units, angles, width, color, pivot, *args, **kw) 472 """ 473 self._axes = ax # The attr actually set by the Artist.axes property. --> 474 X, Y, U, V, C = _parse_args(*args, caller_name='quiver()') 475 self.X = X 476 self.Y = Y

/opt/miniconda3/lib/python3.9/site-packages/matplotlib/quiver.py in _parse_args(caller_name, *args) 417 f'{len_args} were given') 418 --> 419 nr, nc = (1, U.shape[0]) if U.ndim == 1 else U.shape 420 421 if X is not None:

ValueError: too many values to unpack (expected 2)

Could you give me any suggestions for this issue?