Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 4
Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1803-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-1803-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 4
Model evaluation paper
 | 
03 Mar 2022
Model evaluation paper |  | 03 Mar 2022

Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM)

Justus Contzen, Thorsten Dickhaus, and Gerrit Lohmann

Supplement

https://doi.org/10.5194/gmd-15-1803-2022-supplement

Data sets

CRU TS4.04: Climatic Research Unit (CRU) Time-Series (TS) version 4.04 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901-Dec. 2019) I. C. Harris, P. D. Jones, and T. Osborn https://catalogue.ceda.ac.uk/uuid/89e1e34ec3554dc98594a5732622bce9

AWI AWI-ESM1.1LR model output prepared for CMIP6 CMIP historical Christopher Danek, Xiaoxu Shi, Christian Stepanek, Hu Yang, Dirk Barbi, Jan Hegewald, and Gerrit Lohmann https://doi.org/10.22033/ESGF/CMIP6.9328

EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP historical EC-Earth Consortium https://doi.org/10.22033/ESGF/CMIP6.4702

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Short summary
Climate models are of paramount importance to predict future climate changes. Since many severe consequences of climate change are due to extreme events, the accurate behaviour of models in terms of extremes needs to be validated thoroughly. We present a method for model validation in terms of climate extremes and an algorithm to detect regions in which extremes tend to occur at the same time. These methods are applied to data from different climate models and to observational data.
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