improver.cli.apply_reliability_calibration module
CLI to apply reliability calibration.
- process(forecast, reliability_table=None, point_by_point=False)[source]
Calibrate a probability forecast using the provided reliability calibration table. This calibration is designed to improve the reliability of probability forecasts without significantly degrading their resolution. If a reliability table is not provided, the input forecast is returned unchanged.
The method implemented here is described in Flowerdew J. 2014. Calibrating ensemble reliability whilst preserving spatial structure. Tellus, Ser. A Dyn. Meteorol. Oceanogr. 66.
- Parameters:
forecast (iris.cube.Cube) – The forecast to be calibrated.
reliability_table (iris.cube.Cube or iris.cube.CubeList) – The reliability calibration table to use in calibrating the forecast. If input is a CubeList the CubeList should contain separate cubes for each threshold in the forecast cube.
point_by_point (
bool) – Whether to process each point in the input cube independently. Please note this option is memory intensive and is unsuitable for gridded input
- Returns:
Calibrated forecast.
- Return type: