Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3

A substantial part of Arctic climate predictability at interannual timescales stems from the knowledge of the initial sea ice conditions. Among all sea ice properties, its volume, which is a product of sea ice concentration (SIC) and thickness (SIT), is the most responsive parameter to climate chang...

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Published in:Geoscientific Model Development
Main Authors: Tian, Tian, Yang, Shuting, Karami, Mehdi Pasha, Massonnet, François, Kruschke, Tim, Koenigk, Torben
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
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Online Access:https://doi.org/10.5194/gmd-14-4283-2021
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00057400 2024-09-15T17:53:36+00:00 Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 Tian, Tian Yang, Shuting Karami, Mehdi Pasha Massonnet, François Kruschke, Tim Koenigk, Torben 2021-07 electronic https://doi.org/10.5194/gmd-14-4283-2021 https://noa.gwlb.de/receive/cop_mods_00057400 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057050/gmd-14-4283-2021.pdf https://gmd.copernicus.org/articles/14/4283/2021/gmd-14-4283-2021.pdf eng eng Copernicus Publications Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-14-4283-2021 https://noa.gwlb.de/receive/cop_mods_00057400 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057050/gmd-14-4283-2021.pdf https://gmd.copernicus.org/articles/14/4283/2021/gmd-14-4283-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/gmd-14-4283-2021 2024-06-26T04:38:21Z A substantial part of Arctic climate predictability at interannual timescales stems from the knowledge of the initial sea ice conditions. Among all sea ice properties, its volume, which is a product of sea ice concentration (SIC) and thickness (SIT), is the most responsive parameter to climate change. However, the majority of climate prediction systems are only assimilating the observed SIC due to lack of long-term reliable global observation of SIT. In this study, the EC-Earth3 Climate Prediction System with anomaly initialization to ocean, SIC and SIT states is developed. In order to evaluate the regional benefits of specific initialized variables, three sets of retrospective ensemble prediction experiments are performed with different initialization strategies: ocean only; ocean plus SIC; and ocean plus SIC and SIT initialization. In the Atlantic Arctic, the Greenland–Iceland–Norway (GIN) and Barents seas are the two most skilful regions in SIC prediction for up to 5–6 lead years with ocean initialization; there are re-emerging skills for SIC in the Barents and Kara seas in lead years 7–9 coinciding with improved skills of sea surface temperature (SST), reflecting the impact of SIC initialization on ocean–atmosphere interactions for interannual-to-decadal timescales. For the year 2–9 average, the region with significant skill for SIT is confined to the central Arctic Ocean, covered by multi-year sea ice (CAO-MYI). Winter preconditioning with SIT initialization increases the skill for September SIC in the eastern Arctic (e.g. Kara, Laptev and East Siberian seas) and in turn improve the skill of air surface temperature locally and further expanded over land. SIT initialization outperforms the other initialization methods in improving SIT prediction in the Pacific Arctic (e.g. East Siberian and Beaufort seas) in the first few lead years. Our results suggest that as the climate warming continues and the central Arctic Ocean might become seasonal ice free in the future, the controlling mechanism for decadal ... Article in Journal/Newspaper Arctic Ocean Atlantic Arctic Atlantic-Arctic Climate change Greenland Iceland Kara-Laptev laptev Pacific Arctic Sea ice Niedersächsisches Online-Archiv NOA Geoscientific Model Development 14 7 4283 4305
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Tian, Tian
Yang, Shuting
Karami, Mehdi Pasha
Massonnet, François
Kruschke, Tim
Koenigk, Torben
Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3
topic_facet article
Verlagsveröffentlichung
description A substantial part of Arctic climate predictability at interannual timescales stems from the knowledge of the initial sea ice conditions. Among all sea ice properties, its volume, which is a product of sea ice concentration (SIC) and thickness (SIT), is the most responsive parameter to climate change. However, the majority of climate prediction systems are only assimilating the observed SIC due to lack of long-term reliable global observation of SIT. In this study, the EC-Earth3 Climate Prediction System with anomaly initialization to ocean, SIC and SIT states is developed. In order to evaluate the regional benefits of specific initialized variables, three sets of retrospective ensemble prediction experiments are performed with different initialization strategies: ocean only; ocean plus SIC; and ocean plus SIC and SIT initialization. In the Atlantic Arctic, the Greenland–Iceland–Norway (GIN) and Barents seas are the two most skilful regions in SIC prediction for up to 5–6 lead years with ocean initialization; there are re-emerging skills for SIC in the Barents and Kara seas in lead years 7–9 coinciding with improved skills of sea surface temperature (SST), reflecting the impact of SIC initialization on ocean–atmosphere interactions for interannual-to-decadal timescales. For the year 2–9 average, the region with significant skill for SIT is confined to the central Arctic Ocean, covered by multi-year sea ice (CAO-MYI). Winter preconditioning with SIT initialization increases the skill for September SIC in the eastern Arctic (e.g. Kara, Laptev and East Siberian seas) and in turn improve the skill of air surface temperature locally and further expanded over land. SIT initialization outperforms the other initialization methods in improving SIT prediction in the Pacific Arctic (e.g. East Siberian and Beaufort seas) in the first few lead years. Our results suggest that as the climate warming continues and the central Arctic Ocean might become seasonal ice free in the future, the controlling mechanism for decadal ...
format Article in Journal/Newspaper
author Tian, Tian
Yang, Shuting
Karami, Mehdi Pasha
Massonnet, François
Kruschke, Tim
Koenigk, Torben
author_facet Tian, Tian
Yang, Shuting
Karami, Mehdi Pasha
Massonnet, François
Kruschke, Tim
Koenigk, Torben
author_sort Tian, Tian
title Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3
title_short Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3
title_full Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3
title_fullStr Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3
title_full_unstemmed Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3
title_sort benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the arctic in ec-earth3
publisher Copernicus Publications
publishDate 2021
url https://doi.org/10.5194/gmd-14-4283-2021
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https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057050/gmd-14-4283-2021.pdf
https://gmd.copernicus.org/articles/14/4283/2021/gmd-14-4283-2021.pdf
genre Arctic Ocean
Atlantic Arctic
Atlantic-Arctic
Climate change
Greenland
Iceland
Kara-Laptev
laptev
Pacific Arctic
Sea ice
genre_facet Arctic Ocean
Atlantic Arctic
Atlantic-Arctic
Climate change
Greenland
Iceland
Kara-Laptev
laptev
Pacific Arctic
Sea ice
op_relation Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603
https://doi.org/10.5194/gmd-14-4283-2021
https://noa.gwlb.de/receive/cop_mods_00057400
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057050/gmd-14-4283-2021.pdf
https://gmd.copernicus.org/articles/14/4283/2021/gmd-14-4283-2021.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/gmd-14-4283-2021
container_title Geoscientific Model Development
container_volume 14
container_issue 7
container_start_page 4283
op_container_end_page 4305
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