tools/RAiDER/processWM.py:87: in prepareWeatherModel
    f = weather_model.load()
        ^^^^^^^^^^^^^^^^^^^^
tools/RAiDER/models/weatherModel.py:247: in load
    self.load_weather(path_wm_raw, *args, **kwargs)
tools/RAiDER/models/gmao.py:163: in load_weather
    self._load_model_level(f)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <RAiDER.models.gmao.GMAO object at 0x72749ba07620>
filename = 'test/scenario_1/weather_files/GMAO_2018_07_01_T00_00_00.nc'

    def _load_model_level(self, filename) -> None:
        """Get the variables from the GMAO link using OpenDAP."""
        # adding the import here should become absolute when transition to netcdf
        from netCDF4 import Dataset
    
        with Dataset(filename, mode='r') as f:
>           lons = np.array(f.variables['x'][:])
                            ^^^^^^^^^^^^^^^^
E           KeyError: 'x'

tools/RAiDER/models/gmao.py:171: KeyError

import datetime as dt
from RAiDER.models import GMAO
from RAiDER.processWM import prepareWeatherModel

BBOX = [15.75, 18.25, -103.25, -99.75]
DATETIME = dt.datetime(2018, 7, 1, 0, 0)

wm = GMAO()
wm.set_latlon_bounds(BBOX)
wm.setTime(DATETIME)
prepareWeatherModel(wm, DATETIME, BBOX)