Post-Processing

Weather data are ofter submitted to additional processing steps to improve quality. Main reasons for Post-Processing are:

  • Quality control: detection and removal of errors, filling of gaps,
  • Accuracy: Improcing accuracy by quality control, bias correction, downscaling or other methods
  • Transformation: turning a signal (e.g. reflection) into a meteorological (radiation) or other value.

Post-Processing methods are applied to different data sources: 

Some post-processing methods are described in the sub-bpages.