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.

def process_data(self, data, cloud_cover='total_clouds', **kwargs):
        """
        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.
        """
        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]