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Plotting data which is already in Lambert projection

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Recently I am trying to plot the meteorological field from HRRR datasets. However, HRRR datasets are already in Lambert projection (not gridded). The datasets provide x,y as an index (1~len(x) and 1~len(y)) and latitude/longitude consisting of (x,y). Here's the printed information of the datasets:

Coordinates:  * time           (time) datetime64[ns] 2022-01-01    step           timedelta64[ns] ...    isobaricInhPa  float64 1e+03    latitude       (y, x) float64 ...    longitude      (y, x) float64 ...    valid_time     (time) datetime64[ns] ...Dimensions without coordinates: y, xAttributes:    GRIB_paramId:                             131    GRIB_dataType:                            fc    GRIB_numberOfPoints:                      1905141    GRIB_typeOfLevel:                         isobaricInhPa    GRIB_stepUnits:                           1    GRIB_stepType:                            instant    GRIB_gridType:                            lambert    GRIB_DxInMetres:                          3000.0    GRIB_DyInMetres:                          3000.0    GRIB_LaDInDegrees:                        38.5    GRIB_Latin1InDegrees:                     38.5    GRIB_Latin2InDegrees:                     38.5    GRIB_LoVInDegrees:                        262.5    GRIB_NV:                                  0    GRIB_Nx:                                  1799    GRIB_Ny:                                  1059    GRIB_cfName:                              eastward_wind    GRIB_cfVarName:                           u    GRIB_gridDefinitionDescription:           Lambert Conformal can be secant...    GRIB_iScansNegatively:                    0    GRIB_jPointsAreConsecutive:               0    GRIB_jScansPositively:                    1    GRIB_latitudeOfFirstGridPointInDegrees:   21.138123    GRIB_latitudeOfSouthernPoleInDegrees:     0.0    GRIB_longitudeOfFirstGridPointInDegrees:  237.280472    GRIB_longitudeOfSouthernPoleInDegrees:    0.0    GRIB_missingValue:                        9999    GRIB_name:                                U component of wind    GRIB_shortName:                           u    GRIB_units:                               m s**-1    long_name:                                U component of wind    units:                                    m s**-1    standard_name:                            eastward_wind

I followed the example codes provided here https://mesowest.utah.edu/html/hrrr/zarr_documentation/html/xarray_one_day_analysis_example.html. Here's the screenshot of the code and figures provided by HRRR community:enter image description here

However, it seems that the wind field is not transform correctly when I run my code (both quiver and contourf) because the coastlines is not shown.

projection = ccrs.LambertConformal(central_longitude=262.5,                                   central_latitude=38.5,                                   standard_parallels=(38.5, 38.5),                                    globe=ccrs.Globe(semimajor_axis=6371229,                                                     semiminor_axis=6371229))# plotax = plt.axes(projection=ccrs.Mercator())ax.contourf(u_plt.x, u_plt.y, u_plt, transform=projection)ax.coastlines()plt.show()

enter image description here

To be honest, I am very confused why the example code works because it does not provide any longitude/latitude information when plotting! I also tried to reproduce their results, but their environment yml have problems when using metpy. (I guess it is because the version is too old but not sure.)

Anyway, I just want to know how to plot the datasets with transformed coordinates. Thank you!


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