Transformations from rotated_poles to LatLon?

[Balinus]

Hello,

I'm looking to transform a rotated_pole grid to a "standard" latitude-longitude. I'm not sure this is the right package to do so?

For example, I have the following attributes in a file:

 rlat   (160)
    Datatype:    Float64
    Dimensions:  rlat
    Attributes:
     long_name            = latitude in rotated pole grid
     units                = degrees
     standard_name        = grid_latitude
     axis                 = Y
     coordinate_defines   = point
     actual_range         = [-32.8, 37.16]

  rlon   (172)
    Datatype:    Float64
    Dimensions:  rlon
    Attributes:
     long_name            = longitude in rotated pole grid
     units                = degrees
     standard_name        = grid_longitude
     axis                 = X
     coordinate_defines   = point
     actual_range         = [-33.88, 41.36]

  rotated_pole  
    Attributes:
     grid_mapping_name    = rotated_latitude_longitude
     grid_north_pole_latitude = 42.5
     grid_north_pole_longitude = 83.0
     north_pole_grid_longitude = 0.0

lat   (172 × 160)
    Datatype:    Float64
    Dimensions:  rlon × rlat
    Attributes:
     units                = degrees_north
     long_name            = latitude
     standard_name        = latitude
     actual_range         = [5.69197, 84.66]

  lon   (172 × 160)
    Datatype:    Float64
    Dimensions:  rlon × rlat
    Attributes:
     units                = degrees_east
     long_name            = longitude
     standard_name        = longitude
     actual_range         = [-179.96, 179.979]

I was wondering how I could transform the grid mapping to the a standard regular lat-lon (-90 to 90 and -180 to 180), so that I can compare with other datasets that are encoded in such a regular grid.

Again, I'm not sure such transformations is the aim of the package, so thanks for your patience and help that you can provide!