code: def process_data(self, data, cloud_cover='total_clouds', **kwargs):
          
          data = super(HRRR, self).process_data(data, **kwargs)
          wind_mapping = {
              'wind_speed_u': 'u-component_of_wind_height_above_ground_0',
              'wind_speed_v': 'v-component_of_wind_height_above_ground_0',
          }
          data = self.rename(data, variables=wind_mapping)
          data['temp_air'] = self.kelvin_to_celsius(data['temp_air'])
          data['wind_speed'] = self.uv_to_speed(data)
          irrads = self.cloud_cover_to_irradiance(data[cloud_cover], **kwargs)
          data = data.join(irrads, how='outer')
          data = data.iloc[:-1, :]  # issue with last point
          return data[self.output_variables]
docs: Defines the steps needed to convert raw forecast data
          into processed forecast data.
  
          Parameters
          ----------
          data: DataFrame
              Raw forecast data
          cloud_cover: str, default 'total_clouds'
              The type of cloud cover used to infer the irradiance.
  
          Returns
          -------
          data: DataFrame
              Processed forecast data.