import numpy as np
import pandas as pd
import xarray as xr
import mikeio

dsu = xr.open_dataset("F:\data\WIND 2018 OFF CHILIKA\ASCAT_eastward_windspeed 2018.nc")
dsv = xr.open_dataset("F:\data\WIND 2018 OFF CHILIKA\ASCAT_northward_windspeed 2018.nc")

time = pd.DatetimeIndex(dsu.time)

gu = mikeio.Grid2D(x=dsu.longitude.values, y=dsu.latitude.values, projection="LONG/LAT")
gv = mikeio.Grid2D(x=dsv.longitude.values, y=dsv.latitude.values, projection="LONG/LAT")

das = [
    mikeio.DataArray(data=dsu.eastward_wind.values,
                     time=time, geometry=gu,
                     item=mikeio.ItemInfo("U_Wind", mikeio.EUMType.Wind_Velocity, mikeio.EUMUnit.meter_per_sec)),
    mikeio.DataArray(data=dsv.northward_wind.values,
                     time=time, geometry=gv,
                     item=mikeio.ItemInfo("V_Wind", mikeio.EUMType.Wind_Velocity, mikeio.EUMUnit.meter_per_sec))                 
]
my_ds = mikeio.Dataset(das)

my_ds.to_dfs("ascat_wind_Raka.dfs2")