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...

Full description

Bibliographic Details
Main Authors: Guo, Chuncheng, Shu, Qi, Wang, Qiang, Nummelin, Aleksi, Bentsen, Mats, Gupta, Alok, Ilicak, Mehmet, Gao, Yang, Zhang, Shaoqing
Format: Conference Object
Language:unknown
Published: GFZ German Research Centre for Geosciences 2023
Subjects:
Online Access:https://dx.doi.org/10.57757/iugg23-1980
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017559
id ftdatacite:10.57757/iugg23-1980
record_format openpolar
spelling 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
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
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