Articles | Volume 17, issue 1
https://doi.org/10.5194/gmd-17-347-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-347-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
15 Jan 2024
Model evaluation paper |
| 15 Jan 2024
| 15 Jan 2024
Impact of increased resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2)
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), Bremerhaven, Germany
First Institute of Oceanography, Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, China
Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao, China
Alexandra Bozec
Center for Ocean–Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Eric P. Chassignet
Center for Ocean–Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Pier Giuseppe Fogli
Ocean Modeling and Data Assimilation Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy
Baylor Fox-Kemper
Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, RI, USA
Andy McC. Hogg
Research School of Earth Sciences and ARC Centre of Excellence for Climate Extremes, Australian National University, Canberra, Australia
Doroteaciro Iovino
Ocean Modeling and Data Assimilation Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy
Andrew E. Kiss
Research School of Earth Sciences and ARC Centre of Excellence for Climate Extremes, Australian National University, Canberra, Australia
Nikolay Koldunov
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), Bremerhaven, Germany
Julien Le Sommer
Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, INRAE, IGE, Grenoble, France
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Pengfei Lin
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Hailong Liu
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Igor Polyakov
International Arctic Research Center and College of Natural Science and Mathematics, University of Alaska Fairbanks, Alaska, USA
Finnish Meteorological Institute, Helsinki, Finland
Patrick Scholz
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), Bremerhaven, Germany
Dmitry Sidorenko
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI), Bremerhaven, Germany
Shizhu Wang
First Institute of Oceanography, Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, China
Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao, China
Xiaobiao Xu
Center for Ocean–Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
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Cited
3 citations as recorded by crossref.
- Arctic Amplification of marine heatwaves under global warming Y. He et al. 10.1038/s41467-024-52760-1
- The Eurasian Arctic Ocean along the MOSAiC drift in 2019–2020: An interdisciplinary perspective on physical properties and processes K. Schulz et al. 10.1525/elementa.2023.00114
- Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2) D. Iovino et al. 10.5194/gmd-16-6127-2023
1 citations as recorded by crossref.
2 citations as recorded by crossref.
- The Eurasian Arctic Ocean along the MOSAiC drift in 2019–2020: An interdisciplinary perspective on physical properties and processes K. Schulz et al. 10.1525/elementa.2023.00114
- Evaluation of the CMCC global eddying ocean model for the Ocean Model Intercomparison Project (OMIP2) D. Iovino et al. 10.5194/gmd-16-6127-2023
Latest update: 12 Nov 2024
Short summary
Increasing resolution improves model skills in simulating the Arctic Ocean, but other factors such as parameterizations and numerics are at least of the same importance for obtaining reliable simulations.
Increasing resolution improves model skills in simulating the Arctic Ocean, but other factors...
