Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations
Because of a spring predictability barrier, the seasonal forecast skill of Arctic summer sea ice is limited by the availability of melt-season sea ice thickness (SIT) observations. The first year-round SIT observations, retrieved from CryoSat-2 from 2011 to 2020, are assimilated into the GFDL ocean–...
Published in: | Geophysical Research Letters |
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Online Access: | https://hdl.handle.net/10037/32690 https://doi.org/10.1029/2023GL105672 |
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ftunivtroemsoe:oai:munin.uit.no:10037/32690 2024-02-11T09:59:24+01:00 Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations Zhang, Yong-Fei Bushuk, Mitchell Winton, Michael Hurlin, Bill Gregory, William Landy, Jack Christopher Jia, Liwei 2023-12-15 https://hdl.handle.net/10037/32690 https://doi.org/10.1029/2023GL105672 eng eng Wiley Geophysical Research Letters Zhang, Bushuk, Winton, Hurlin, Gregory, Landy, Jia. Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations. Geophysical Research Letters. 2023;50(24) FRIDAID 2218781 doi:10.1029/2023GL105672 0094-8276 1944-8007 https://hdl.handle.net/10037/32690 Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by-nc/4.0 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2023 ftunivtroemsoe https://doi.org/10.1029/2023GL105672 2024-01-25T00:08:04Z Because of a spring predictability barrier, the seasonal forecast skill of Arctic summer sea ice is limited by the availability of melt-season sea ice thickness (SIT) observations. The first year-round SIT observations, retrieved from CryoSat-2 from 2011 to 2020, are assimilated into the GFDL ocean–sea ice model. The model's SIT anomaly field is brought into significantly better agreement with the observations, particularly in the Central Arctic. Although the short observational period makes forecast assessment challenging, we find that the addition of May–August SIT assimilation improves September local sea ice concentration (SIC) and extent forecasts similarly to SIC-only assimilation. Although most regional forecasts are improved by SIT assimilation, the Chukchi Sea forecasts are degraded. This degradation is likely due to the introduction of negative correlations between September SIC and earlier SIT introduced by SIT assimilation, contrary to the increased correlations found in other regions. Article in Journal/Newspaper Arctic Arctic Chukchi Chukchi Sea Sea ice University of Tromsø: Munin Open Research Archive Arctic Chukchi Sea Geophysical Research Letters 50 24 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
Because of a spring predictability barrier, the seasonal forecast skill of Arctic summer sea ice is limited by the availability of melt-season sea ice thickness (SIT) observations. The first year-round SIT observations, retrieved from CryoSat-2 from 2011 to 2020, are assimilated into the GFDL ocean–sea ice model. The model's SIT anomaly field is brought into significantly better agreement with the observations, particularly in the Central Arctic. Although the short observational period makes forecast assessment challenging, we find that the addition of May–August SIT assimilation improves September local sea ice concentration (SIC) and extent forecasts similarly to SIC-only assimilation. Although most regional forecasts are improved by SIT assimilation, the Chukchi Sea forecasts are degraded. This degradation is likely due to the introduction of negative correlations between September SIC and earlier SIT introduced by SIT assimilation, contrary to the increased correlations found in other regions. |
format |
Article in Journal/Newspaper |
author |
Zhang, Yong-Fei Bushuk, Mitchell Winton, Michael Hurlin, Bill Gregory, William Landy, Jack Christopher Jia, Liwei |
spellingShingle |
Zhang, Yong-Fei Bushuk, Mitchell Winton, Michael Hurlin, Bill Gregory, William Landy, Jack Christopher Jia, Liwei Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations |
author_facet |
Zhang, Yong-Fei Bushuk, Mitchell Winton, Michael Hurlin, Bill Gregory, William Landy, Jack Christopher Jia, Liwei |
author_sort |
Zhang, Yong-Fei |
title |
Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations |
title_short |
Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations |
title_full |
Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations |
title_fullStr |
Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations |
title_full_unstemmed |
Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations |
title_sort |
improvements in september arctic sea ice predictions via assimilation of summer cryosat-2 sea ice thickness observations |
publisher |
Wiley |
publishDate |
2023 |
url |
https://hdl.handle.net/10037/32690 https://doi.org/10.1029/2023GL105672 |
geographic |
Arctic Chukchi Sea |
geographic_facet |
Arctic Chukchi Sea |
genre |
Arctic Arctic Chukchi Chukchi Sea Sea ice |
genre_facet |
Arctic Arctic Chukchi Chukchi Sea Sea ice |
op_relation |
Geophysical Research Letters Zhang, Bushuk, Winton, Hurlin, Gregory, Landy, Jia. Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat-2 Sea Ice Thickness Observations. Geophysical Research Letters. 2023;50(24) FRIDAID 2218781 doi:10.1029/2023GL105672 0094-8276 1944-8007 https://hdl.handle.net/10037/32690 |
op_rights |
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) openAccess Copyright 2023 The Author(s) https://creativecommons.org/licenses/by-nc/4.0 |
op_doi |
https://doi.org/10.1029/2023GL105672 |
container_title |
Geophysical Research Letters |
container_volume |
50 |
container_issue |
24 |
_version_ |
1790595329778778112 |