Correcting for model changes in statistical postprocessing – an approach based on response theory
<p>For most statistical postprocessing schemes used to correct weather forecasts, changes to the forecast model induce a considerable reforecasting effort. We present a new approach based on response theory to cope with slight model changes. In this framework, the model change is seen as a per...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-05-01
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Series: | Nonlinear Processes in Geophysics |
Online Access: | https://www.nonlin-processes-geophys.net/27/307/2020/npg-27-307-2020.pdf |