Weather data are often 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: Improving 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-pages.