Articles | Volume 15, issue 16
https://doi.org/10.5194/gmd-15-6399-2022
https://doi.org/10.5194/gmd-15-6399-2022
Model evaluation paper
 | 
29 Aug 2022
Model evaluation paper |  | 29 Aug 2022

AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model

Jan Streffing, Dmitry Sidorenko, Tido Semmler, Lorenzo Zampieri, Patrick Scholz, Miguel Andrés-Martínez, Nikolay Koldunov, Thomas Rackow, Joakim Kjellsson, Helge Goessling, Marylou Athanase, Qiang Wang, Jan Hegewald, Dmitry V. Sein, Longjiang Mu, Uwe Fladrich, Dirk Barbi, Paul Gierz, Sergey Danilov, Stephan Juricke, Gerrit Lohmann, and Thomas Jung

Data sets

AWI-CM3 version 3.0 spinup simulation data Jan Streffing https://doi.org/10.5281/zenodo.6337627

AWI-CM3 version 3.0 pre-industrial control data Jan Streffing https://doi.org/10.5281/zenodo.6337571

AWI-CM3 version 3.0 historic, 4XCO2, 1% CO2 data Jan Streffing https://doi.org/10.5281/zenodo.6337593

Model code and software

Modifications to use OpenIFS CY43R3V1 for AWI-CM3 version 3.0 Jan Streffing and Uwe Fladich https://doi.org/10.5281/zenodo.6335498

FESOM 2.0 AWI-CM3 version 3.0 Patrick Scholz, Dmitry Sidorenko, Ozgur Gurses, Sergey Danilov, Nikolay Koldunov, Qiang Wang, Dmitry Sein, Margarita Smolentseva, Natalja Rakowsky, and Thomas Jung https://doi.org/10.5281/zenodo.6335383

EC-Earth community runoff-mapper scheme Klaus Wyser https://doi.org/10.5281/zenodo.6335474

esm_tools_release3_as_used_by_AWI-CM3_paper Dirk Barbi, Paul Gierz, Miguel Andrés-Martínez, Deniz Ural, and Luisa Cristini https://doi.org/10.5281/zenodo.6335309

XIOS 2.0 (Revision 1297) Yann Meurdesoif https://doi.org/10.5281/zenodo.4905653

JanStreffing/2020_AWICM3_GMD_PAPER: Revision 1 (1.1) Jan Streffing https://doi.org/10.5281/zenodo.6653826

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Short summary
We developed a new atmosphere–ocean coupled climate model, AWI-CM3. Our model is significantly more computationally efficient than its predecessors AWI-CM1 and AWI-CM2. We show that the model, although cheaper to run, provides results of similar quality when modeling the historic period from 1850 to 2014. We identify the remaining weaknesses to outline future work. Finally we preview an improved simulation where the reduction in computational cost has to be invested in higher model resolution.