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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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NPG | Articles | Volume 27, issue 1
Nonlin. Processes Geophys., 27, 23–34, 2020
https://doi.org/10.5194/npg-27-23-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Advances in post-processing and blending of deterministic...

Nonlin. Processes Geophys., 27, 23–34, 2020
https://doi.org/10.5194/npg-27-23-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 05 Feb 2020

Research article | 05 Feb 2020

Remember the past: a comparison of time-adaptive training schemes for non-homogeneous regression

Moritz N. Lang et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Moritz N. Lang on behalf of the Authors (10 Dec 2019)  Author's response    Manuscript
ED: Publish as is (06 Jan 2020) by Maxime Taillardat
Publications Copernicus
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Short summary
Statistical post-processing aims to increase the predictive skill of probabilistic ensemble weather forecasts by learning the statistical relation between historical pairs of observations and ensemble forecasts within a given training data set. This study compares four different training schemes and shows that including multiple years of data in the training set typically yields a more stable post-processing while it loses the ability to quickly adjust to temporal changes in the underlying data.
Statistical post-processing aims to increase the predictive skill of probabilistic ensemble...
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