AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model
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 (Finite-volumE Sea ice-Ocean Model) has the multi-resolution func...
Published in: | Geoscientific Model Development |
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Copernicus Publications (EGU)
2022
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Online Access: | https://oceanrep.geomar.de/id/eprint/57026/ https://oceanrep.geomar.de/id/eprint/57026/1/gmd_15_6399_2022.pdf https://doi.org/10.5194/gmd-15-6399-2022 |
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ftoceanrep:oai:oceanrep.geomar.de:57026 2024-02-11T10:08:30+01:00 AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model Streffing, Jan Sidorenko, Dmitry Semmler, Tido Zampieri, Lorenzo Scholz, Patrick Andrés-Martínez, Miguel Koldunov, Nikolay Rackow, Thomas Kjellsson, Joakim Goessling, Helge Athanase, Marylou Wang, Qiang Hegewald, Jan Sein, Dmitry V. Mu, Longjiang Fladrich, Uwe Barbi, Dirk Gierz, Paul Danilov, Sergey Juricke, Stephan Lohmann, Gerrit Jung, Thomas 2022-08-29 text https://oceanrep.geomar.de/id/eprint/57026/ https://oceanrep.geomar.de/id/eprint/57026/1/gmd_15_6399_2022.pdf https://doi.org/10.5194/gmd-15-6399-2022 en eng Copernicus Publications (EGU) https://oceanrep.geomar.de/id/eprint/57026/1/gmd_15_6399_2022.pdf 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., Hegewald, J., Sein, D. V., Mu, L., Fladrich, U., Barbi, D., Gierz, P., Danilov, S., Juricke, S., Lohmann, G. and Jung, T. (2022) AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model. Open Access Geoscientific Model Development, 15 (16). pp. 6399-6427. DOI 10.5194/gmd-15-6399-2022 <https://doi.org/10.5194/gmd-15-6399-2022>. doi:10.5194/gmd-15-6399-2022 cc_by_4.0 info:eu-repo/semantics/openAccess Article PeerReviewed 2022 ftoceanrep https://doi.org/10.5194/gmd-15-6399-2022 2024-01-15T00:25:56Z 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 (Finite-volumE Sea ice-Ocean Model) has the multi-resolution functionality typical of unstructured-mesh models while still featuring a scalability and efficiency similar to regular-grid models. The atmospheric component OpenIFS (CY43R3) enables the use of the 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 ongoing research activities with AWI-CM3. This includes the exploration of high and variable resolution and 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 (where CMIP6 denotes Coupled Model Intercomparison Project phase 6) in representing the climatology and competitive model throughput. Finally we identify remaining biases and suggest further improvements to be made to the model. Article in Journal/Newspaper Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Geoscientific Model Development 15 16 6399 6427 |
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Open Polar |
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OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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ftoceanrep |
language |
English |
description |
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 (Finite-volumE Sea ice-Ocean Model) has the multi-resolution functionality typical of unstructured-mesh models while still featuring a scalability and efficiency similar to regular-grid models. The atmospheric component OpenIFS (CY43R3) enables the use of the 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 ongoing research activities with AWI-CM3. This includes the exploration of high and variable resolution and 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 (where CMIP6 denotes Coupled Model Intercomparison Project phase 6) in representing the climatology and competitive model throughput. Finally we identify remaining biases and suggest further improvements to be made to the model. |
format |
Article in Journal/Newspaper |
author |
Streffing, Jan Sidorenko, Dmitry Semmler, Tido Zampieri, Lorenzo Scholz, Patrick Andrés-Martínez, Miguel Koldunov, Nikolay Rackow, Thomas Kjellsson, Joakim Goessling, Helge Athanase, Marylou Wang, Qiang Hegewald, Jan Sein, Dmitry V. Mu, Longjiang Fladrich, Uwe Barbi, Dirk Gierz, Paul Danilov, Sergey Juricke, Stephan Lohmann, Gerrit Jung, Thomas |
spellingShingle |
Streffing, Jan Sidorenko, Dmitry Semmler, Tido Zampieri, Lorenzo Scholz, Patrick Andrés-Martínez, Miguel Koldunov, Nikolay Rackow, Thomas Kjellsson, Joakim Goessling, Helge Athanase, Marylou Wang, Qiang Hegewald, Jan Sein, Dmitry V. Mu, Longjiang Fladrich, Uwe Barbi, Dirk Gierz, Paul Danilov, Sergey Juricke, Stephan Lohmann, Gerrit Jung, Thomas AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model |
author_facet |
Streffing, Jan Sidorenko, Dmitry Semmler, Tido Zampieri, Lorenzo Scholz, Patrick Andrés-Martínez, Miguel Koldunov, Nikolay Rackow, Thomas Kjellsson, Joakim Goessling, Helge Athanase, Marylou Wang, Qiang Hegewald, Jan Sein, Dmitry V. Mu, Longjiang Fladrich, Uwe Barbi, Dirk Gierz, Paul Danilov, Sergey Juricke, Stephan Lohmann, Gerrit Jung, Thomas |
author_sort |
Streffing, Jan |
title |
AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model |
title_short |
AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model |
title_full |
AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model |
title_fullStr |
AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model |
title_full_unstemmed |
AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model |
title_sort |
awi-cm3 coupled climate model: description and evaluation experiments for a prototype post-cmip6 model |
publisher |
Copernicus Publications (EGU) |
publishDate |
2022 |
url |
https://oceanrep.geomar.de/id/eprint/57026/ https://oceanrep.geomar.de/id/eprint/57026/1/gmd_15_6399_2022.pdf https://doi.org/10.5194/gmd-15-6399-2022 |
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Sea ice |
genre_facet |
Sea ice |
op_relation |
https://oceanrep.geomar.de/id/eprint/57026/1/gmd_15_6399_2022.pdf 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., Hegewald, J., Sein, D. V., Mu, L., Fladrich, U., Barbi, D., Gierz, P., Danilov, S., Juricke, S., Lohmann, G. and Jung, T. (2022) AWI-CM3 coupled climate model: description and evaluation experiments for a prototype post-CMIP6 model. Open Access Geoscientific Model Development, 15 (16). pp. 6399-6427. DOI 10.5194/gmd-15-6399-2022 <https://doi.org/10.5194/gmd-15-6399-2022>. doi:10.5194/gmd-15-6399-2022 |
op_rights |
cc_by_4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/gmd-15-6399-2022 |
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Geoscientific Model Development |
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