Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 6, issue 2
Articles | Volume 6, issue 2
https://doi.org/10.5194/ascmo-6-103-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-6-103-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 2
05 Oct 2020
 | 05 Oct 2020

Comparing forecast systems with multiple correlation decomposition based on partial correlation

Rita Glowienka-Hense, Andreas Hense, Sebastian Brune, and Johanna Baehr

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Latest update: 13 Dec 2024
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Short summary
A new method for weather and climate forecast model evaluation with respect to observations is proposed. Individually added values are estimated for each model, together with shared information both models provide equally on the observations. Finally, shared model information, which is not present in the observations, is calculated. The method is applied to two examples from climate and weather forecasting, showing new perspectives for model evaluation.
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