CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ...
<!--!introduction!--> Underlying the polar climate system is a number of closely coupled processes that are interconnected through complex feedbacks on a range of temporal and spatial scales. Observations are limited in these inaccessible and remote areas, and understanding of these processes...
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GFZ German Research Centre for Geosciences
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ftdatacite:10.57757/iugg23-1980 2023-06-11T04:08:59+02:00 CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ... Guo, Chuncheng Shu, Qi Wang, Qiang Nummelin, Aleksi Bentsen, Mats Gupta, Alok Ilicak, Mehmet Gao, Yang Zhang, Shaoqing 2023 https://dx.doi.org/10.57757/iugg23-1980 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017559 unknown GFZ German Research Centre for Geosciences Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ConferencePaper Oral Article 2023 ftdatacite https://doi.org/10.57757/iugg23-1980 2023-06-01T11:57:52Z <!--!introduction!--> Underlying the polar climate system is a number of closely coupled processes that are interconnected through complex feedbacks on a range of temporal and spatial scales. Observations are limited in these inaccessible and remote areas, and understanding of these processes often relies on regional and global climate modelling. However, large uncertainties remain due to unresolved key processes in both the regional and global context. In this presentation, we first show that large model spread and biases exist in simulating the Arctic Ocean hydrography from the latest CMIP6/OMIP experiments. Our results indicate there are almost no improvements compared with the previous CORE-II experiments (with similar OMIP-like protocol). The model spread and biases are especially conspicuous in the simulation of subsurface halocline and Atlantic Water, the latter often being too warm/thick/deep. The models largely agree on the interannual/decadal variabilities of key metrics, such as ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... Conference Object Arctic Arctic Ocean DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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description |
<!--!introduction!--> Underlying the polar climate system is a number of closely coupled processes that are interconnected through complex feedbacks on a range of temporal and spatial scales. Observations are limited in these inaccessible and remote areas, and understanding of these processes often relies on regional and global climate modelling. However, large uncertainties remain due to unresolved key processes in both the regional and global context. In this presentation, we first show that large model spread and biases exist in simulating the Arctic Ocean hydrography from the latest CMIP6/OMIP experiments. Our results indicate there are almost no improvements compared with the previous CORE-II experiments (with similar OMIP-like protocol). The model spread and biases are especially conspicuous in the simulation of subsurface halocline and Atlantic Water, the latter often being too warm/thick/deep. The models largely agree on the interannual/decadal variabilities of key metrics, such as ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... |
format |
Conference Object |
author |
Guo, Chuncheng Shu, Qi Wang, Qiang Nummelin, Aleksi Bentsen, Mats Gupta, Alok Ilicak, Mehmet Gao, Yang Zhang, Shaoqing |
spellingShingle |
Guo, Chuncheng Shu, Qi Wang, Qiang Nummelin, Aleksi Bentsen, Mats Gupta, Alok Ilicak, Mehmet Gao, Yang Zhang, Shaoqing CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ... |
author_facet |
Guo, Chuncheng Shu, Qi Wang, Qiang Nummelin, Aleksi Bentsen, Mats Gupta, Alok Ilicak, Mehmet Gao, Yang Zhang, Shaoqing |
author_sort |
Guo, Chuncheng |
title |
CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ... |
title_short |
CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ... |
title_full |
CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ... |
title_fullStr |
CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ... |
title_full_unstemmed |
CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ... |
title_sort |
cmip6/omip simulations of the arctic ocean and the impact of resolutions ... |
publisher |
GFZ German Research Centre for Geosciences |
publishDate |
2023 |
url |
https://dx.doi.org/10.57757/iugg23-1980 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017559 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.57757/iugg23-1980 |
_version_ |
1768382664600977408 |