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https://doi.org/10.5194/egusphere-2022-32
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/egusphere-2022-32
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Preprints
 
09 Mar 2022
09 Mar 2022
Status: this preprint is open for discussion.

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

Jan Streffing1,2, Dmitry Sidorenko1, Tido Semmler1, Lorenzo Zampieri3, Patrick Scholz1, Miguel Andrés-Martínez1, Nikolay Koldunov1, Thomas Rackow4,1, Joakim Kjellsson5, Helge Goessling1, Marylou Athanase1, Qiang Wang1, Dmitry Sein1, Longjiang Mu6,1, Uwe Fladrich7, Dirk Barbi8,1, Paul Gierz1, Sergey Danilov1,2, Stephan Juricke1,2, Gerrit Lohmann1,9, and Thomas Jung1,9 Jan Streffing et al.
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  • 1Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany
  • 2Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany
  • 3National Center for Atmospheric Research, 1850 Table Mesa Dr, Boulder, CO 80305, United States of America
  • 4European Centre for Medium-Range Weather Forecasts, Robert-Schuman-Platz 3, 53175 Bonn, Germany
  • 5GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany
  • 6Pilot National Laboratory for Marine Science and Technology, Qingdao, China
  • 7Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, SE-60176 Norrköping, Sweden
  • 8Rhenish Friedrich Wilhelm University of Bonn, Regina-Pacis-Weg 3, 53113 Bonn, Germany
  • 9University of Bremen, Bibliothekstraße 1, 28359 Bremen, Germany
Received: 08 Mar 2022 – Accepted for review: 09 Mar 2022 – Discussion started: 09 Mar 2022

Abstract. We developed a new version of the Alfred Wegener Institute Climate Model (AWI-CM3), which has higher skills in representing the observed climatology and better computational efficiency than its predecessors. Its ocean component FESOM2 has the multi-resolution functionality typical for unstructured-mesh models while still featuring a scalability and efficiency similar to regular-grid models. The atmospheric component OpenIFS (CY43R3) enables the use of latest developments in the numerical weather prediction community in climate sciences. In this paper we describe the coupling of the model components and evaluate the model performance on a variable resolution (25–125 km) ocean mesh and a 61 km atmosphere grid, which serves as a reference and starting point for other on-going research activities with AWI-CM3. This includes the exploration of high and variable resolution, the development of a full Earth System Model as well as the creation of a new sea ice prediction system. At this early development stage and with the given coarse to medium resolutions, the model already features above CMIP6-average skills in representing the climatology and competitive model throughput. Finally we identify remaining biases and suggest further improvements to be made to the model.

How to cite. Streffing, J., Sidorenko, D., Semmler, T., Zampieri, L., Scholz, P., Andrés-Martínez, M., Koldunov, N., Rackow, T., Kjellsson, J., Goessling, H., Athanase, M., Wang, Q., Sein, D., Mu, L., Fladrich, U., Barbi, D., Gierz, P., Danilov, S., Juricke, S., Lohmann, G., and Jung, T.: AWI-CM3 coupled climate model: Description and evaluation experiments for a prototype post-CMIP6 model, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-32, 2022.

Jan Streffing et al.

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Jan Streffing et al.

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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 it's predecessors AWI-CM1 and AWI-CM2. We show that the model, although cheaper to run provides similar quality results when modelling 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 be invested in higher model resolution.
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