Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2)
This study evaluates the impact of increasing resolution on Arctic Ocean simulations using five pairs of matched low- and high-resolution models within the OMIP-2 framework. The primary objective is to assess whether higher resolution can mitigate typical biases observed in low-resolution models and...
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ftcopernicus:oai:publications.copernicus.org:gmdd112329 2023-07-23T04:17:01+02:00 Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2) Wang, Qiang Shu, Qi Bozec, Alexandra Chassignet, Eric P. Fogli, Pier Giuseppe Fox-Kemper, Baylor Hogg, Andy McC. Iovino, Doroteaciro Kiss, Andrew E. Koldunov, Nikolay Sommer, Julien Li, Yiwen Lin, Pengfei Liu, Hailong Polyakov, Igor Scholz, Patrick Sidorenko, Dmitry Wang, Shizhu Xu, Xiaobiao 2023-06-26 application/pdf https://doi.org/10.5194/gmd-2023-123 https://gmd.copernicus.org/preprints/gmd-2023-123/ eng eng doi:10.5194/gmd-2023-123 https://gmd.copernicus.org/preprints/gmd-2023-123/ eISSN: 1991-9603 Text 2023 ftcopernicus https://doi.org/10.5194/gmd-2023-123 2023-07-03T16:24:18Z This study evaluates the impact of increasing resolution on Arctic Ocean simulations using five pairs of matched low- and high-resolution models within the OMIP-2 framework. The primary objective is to assess whether higher resolution can mitigate typical biases observed in low-resolution models and improve the representation of key climate-relevant variables. We reveal that increasing horizontal resolution contributes to a reduction in biases in mean temperature and salinity, and improves the simulation of the Atlantic Water layer and its decadal warming events. Higher resolution also leads to improved agreement with observed surface mixed layer depth, cold halocline base depth and Arctic gateway transports. However, the simulation of the mean state and temporal changes in Arctic freshwater content does not show improvement with increased resolution. While the use of higher resolution demonstrates positive outcomes for certain variables, it is crucial to recognize that model numerics and parameterizations also play a significant role in achieving faithful simulations. Overall, higher resolution shows promise in improving the simulation of key Arctic Ocean features and processes, but comprehensive model development is required to achieve more accurate representations across all climate-relevant variables. Text Arctic Arctic Ocean Copernicus Publications: E-Journals Arctic Arctic Ocean |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
This study evaluates the impact of increasing resolution on Arctic Ocean simulations using five pairs of matched low- and high-resolution models within the OMIP-2 framework. The primary objective is to assess whether higher resolution can mitigate typical biases observed in low-resolution models and improve the representation of key climate-relevant variables. We reveal that increasing horizontal resolution contributes to a reduction in biases in mean temperature and salinity, and improves the simulation of the Atlantic Water layer and its decadal warming events. Higher resolution also leads to improved agreement with observed surface mixed layer depth, cold halocline base depth and Arctic gateway transports. However, the simulation of the mean state and temporal changes in Arctic freshwater content does not show improvement with increased resolution. While the use of higher resolution demonstrates positive outcomes for certain variables, it is crucial to recognize that model numerics and parameterizations also play a significant role in achieving faithful simulations. Overall, higher resolution shows promise in improving the simulation of key Arctic Ocean features and processes, but comprehensive model development is required to achieve more accurate representations across all climate-relevant variables. |
format |
Text |
author |
Wang, Qiang Shu, Qi Bozec, Alexandra Chassignet, Eric P. Fogli, Pier Giuseppe Fox-Kemper, Baylor Hogg, Andy McC. Iovino, Doroteaciro Kiss, Andrew E. Koldunov, Nikolay Sommer, Julien Li, Yiwen Lin, Pengfei Liu, Hailong Polyakov, Igor Scholz, Patrick Sidorenko, Dmitry Wang, Shizhu Xu, Xiaobiao |
spellingShingle |
Wang, Qiang Shu, Qi Bozec, Alexandra Chassignet, Eric P. Fogli, Pier Giuseppe Fox-Kemper, Baylor Hogg, Andy McC. Iovino, Doroteaciro Kiss, Andrew E. Koldunov, Nikolay Sommer, Julien Li, Yiwen Lin, Pengfei Liu, Hailong Polyakov, Igor Scholz, Patrick Sidorenko, Dmitry Wang, Shizhu Xu, Xiaobiao Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2) |
author_facet |
Wang, Qiang Shu, Qi Bozec, Alexandra Chassignet, Eric P. Fogli, Pier Giuseppe Fox-Kemper, Baylor Hogg, Andy McC. Iovino, Doroteaciro Kiss, Andrew E. Koldunov, Nikolay Sommer, Julien Li, Yiwen Lin, Pengfei Liu, Hailong Polyakov, Igor Scholz, Patrick Sidorenko, Dmitry Wang, Shizhu Xu, Xiaobiao |
author_sort |
Wang, Qiang |
title |
Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2) |
title_short |
Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2) |
title_full |
Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2) |
title_fullStr |
Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2) |
title_full_unstemmed |
Impact of high resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2) |
title_sort |
impact of high resolution on arctic ocean simulations in ocean model intercomparison project phase 2 (omip-2) |
publishDate |
2023 |
url |
https://doi.org/10.5194/gmd-2023-123 https://gmd.copernicus.org/preprints/gmd-2023-123/ |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_source |
eISSN: 1991-9603 |
op_relation |
doi:10.5194/gmd-2023-123 https://gmd.copernicus.org/preprints/gmd-2023-123/ |
op_doi |
https://doi.org/10.5194/gmd-2023-123 |
_version_ |
1772178219059904512 |