Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method
Abstract We present an Arctic ocean–sea ice reanalysis covering the period 2007–2016 based on the adjoint approach of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium. The spatiotemporal variation of Arctic sea surface temperature (SST), sea ice concentration (SIC), and sea...
Published in: | Quarterly Journal of the Royal Meteorological Society |
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Online Access: | http://dx.doi.org/10.1002/qj.4002 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4002 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.4002 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4002 |
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crwiley:10.1002/qj.4002 2024-06-02T08:01:14+00:00 Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method Lyu, Guokun Koehl, Armin Serra, Nuno Stammer, Detlef Xie, Jiping 2021 http://dx.doi.org/10.1002/qj.4002 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4002 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.4002 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4002 en eng Wiley http://creativecommons.org/licenses/by-nc-nd/4.0/ Quarterly Journal of the Royal Meteorological Society volume 147, issue 736, page 1908-1929 ISSN 0035-9009 1477-870X journal-article 2021 crwiley https://doi.org/10.1002/qj.4002 2024-05-03T11:26:41Z Abstract We present an Arctic ocean–sea ice reanalysis covering the period 2007–2016 based on the adjoint approach of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium. The spatiotemporal variation of Arctic sea surface temperature (SST), sea ice concentration (SIC), and sea ice thickness (SIT) is substantially improved after the assimilation of ocean and sea ice observations. By assimilating additional World Ocean Atlas 2018 (WOA18) hydrographic data, the freshwater content of the Canadian Basin becomes closer to the observations and translates into changes of the ocean circulation and of transports through the Fram and Davis straits. This new reanalysis compares well with previous filter‐based (TOPAZ4) and nudging‐based (PIOMAS) reanalyses regarding SIC and SST. Benefiting from using the adjoint of the sea ice model, our reanalysis is superior to the ECCOv4r4 product considering sea ice parameters. However, the mean state and variability of the freshwater content and the transport properties of our reanalysis remain different from TOPAZ4 and ECCOv4r4, likely because of a lack of hydrographic observations. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice Wiley Online Library Arctic Arctic Ocean Quarterly Journal of the Royal Meteorological Society 147 736 1908 1929 |
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Open Polar |
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Wiley Online Library |
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crwiley |
language |
English |
description |
Abstract We present an Arctic ocean–sea ice reanalysis covering the period 2007–2016 based on the adjoint approach of the Estimating the Circulation and Climate of the Ocean (ECCO) consortium. The spatiotemporal variation of Arctic sea surface temperature (SST), sea ice concentration (SIC), and sea ice thickness (SIT) is substantially improved after the assimilation of ocean and sea ice observations. By assimilating additional World Ocean Atlas 2018 (WOA18) hydrographic data, the freshwater content of the Canadian Basin becomes closer to the observations and translates into changes of the ocean circulation and of transports through the Fram and Davis straits. This new reanalysis compares well with previous filter‐based (TOPAZ4) and nudging‐based (PIOMAS) reanalyses regarding SIC and SST. Benefiting from using the adjoint of the sea ice model, our reanalysis is superior to the ECCOv4r4 product considering sea ice parameters. However, the mean state and variability of the freshwater content and the transport properties of our reanalysis remain different from TOPAZ4 and ECCOv4r4, likely because of a lack of hydrographic observations. |
format |
Article in Journal/Newspaper |
author |
Lyu, Guokun Koehl, Armin Serra, Nuno Stammer, Detlef Xie, Jiping |
spellingShingle |
Lyu, Guokun Koehl, Armin Serra, Nuno Stammer, Detlef Xie, Jiping Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method |
author_facet |
Lyu, Guokun Koehl, Armin Serra, Nuno Stammer, Detlef Xie, Jiping |
author_sort |
Lyu, Guokun |
title |
Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method |
title_short |
Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method |
title_full |
Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method |
title_fullStr |
Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method |
title_full_unstemmed |
Arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method |
title_sort |
arctic ocean–sea ice reanalysis for the period 2007–2016 using the adjoint method |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1002/qj.4002 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4002 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.4002 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4002 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_source |
Quarterly Journal of the Royal Meteorological Society volume 147, issue 736, page 1908-1929 ISSN 0035-9009 1477-870X |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.1002/qj.4002 |
container_title |
Quarterly Journal of the Royal Meteorological Society |
container_volume |
147 |
container_issue |
736 |
container_start_page |
1908 |
op_container_end_page |
1929 |
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1800745544406007808 |