Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F

The neXtSIM-F (neXtSIM forecast) forecasting system consists of a stand-alone sea ice model, neXtSIM (neXt-generation Sea Ice Model), forced by the TOPAZ ocean forecast and the ECMWF atmospheric forecast, combined with daily data assimilation of sea ice concentration. It uses the novel brittle Bingh...

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Published in:The Cryosphere
Main Authors: Williams, Timothy, Korosov, Anton, Rampal, Pierre, Ólason, Einar
Format: Other/Unknown Material
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/tc-15-3207-2021
https://tc.copernicus.org/articles/15/3207/2021/
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spelling ftcopernicus:oai:publications.copernicus.org:tc77716 2023-05-15T14:58:45+02:00 Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F Williams, Timothy Korosov, Anton Rampal, Pierre Ólason, Einar 2021-07-12 info:eu-repo/semantics/application/pdf https://doi.org/10.5194/tc-15-3207-2021 https://tc.copernicus.org/articles/15/3207/2021/ eng eng info:eu-repo/grantAgreement/EC/FP7/607476 doi:10.5194/tc-15-3207-2021 https://tc.copernicus.org/articles/15/3207/2021/ info:eu-repo/semantics/openAccess eISSN: 1994-0424 info:eu-repo/semantics/Text 2021 ftcopernicus https://doi.org/10.5194/tc-15-3207-2021 2021-07-19T16:22:28Z The neXtSIM-F (neXtSIM forecast) forecasting system consists of a stand-alone sea ice model, neXtSIM (neXt-generation Sea Ice Model), forced by the TOPAZ ocean forecast and the ECMWF atmospheric forecast, combined with daily data assimilation of sea ice concentration. It uses the novel brittle Bingham–Maxwell (BBM) sea ice rheology, making it the first forecast based on a continuum model not to use the viscous–plastic (VP) rheology. It was tested in the Arctic for the time period November 2018–June 2020 and was found to perform well, although there are some shortcomings. Despite drift not being assimilated in our system, the sea ice drift is good throughout the year, being relatively unbiased, even for longer lead times like 5 d. The RMSE in speed and the total RMSE are also good for the first 3 or so days, although they both increase steadily with lead time. The thickness distribution is relatively good, although there are some regions that experience excessive thickening with negative implications for the summertime sea ice extent, particularly in the Greenland Sea. The neXtSIM-F forecasting system assimilates OSI SAF sea ice concentration products (both SSMIS and AMSR2) by modifying the initial conditions daily and adding a compensating heat flux to prevent removed ice growing back too quickly. The assimilation greatly improves the sea ice extent for the forecast duration. Other/Unknown Material Arctic Greenland Greenland Sea Sea ice Copernicus Publications: E-Journals Arctic Bingham ENVELOPE(-63.400,-63.400,-69.400,-69.400) Greenland The Cryosphere 15 7 3207 3227
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The neXtSIM-F (neXtSIM forecast) forecasting system consists of a stand-alone sea ice model, neXtSIM (neXt-generation Sea Ice Model), forced by the TOPAZ ocean forecast and the ECMWF atmospheric forecast, combined with daily data assimilation of sea ice concentration. It uses the novel brittle Bingham–Maxwell (BBM) sea ice rheology, making it the first forecast based on a continuum model not to use the viscous–plastic (VP) rheology. It was tested in the Arctic for the time period November 2018–June 2020 and was found to perform well, although there are some shortcomings. Despite drift not being assimilated in our system, the sea ice drift is good throughout the year, being relatively unbiased, even for longer lead times like 5 d. The RMSE in speed and the total RMSE are also good for the first 3 or so days, although they both increase steadily with lead time. The thickness distribution is relatively good, although there are some regions that experience excessive thickening with negative implications for the summertime sea ice extent, particularly in the Greenland Sea. The neXtSIM-F forecasting system assimilates OSI SAF sea ice concentration products (both SSMIS and AMSR2) by modifying the initial conditions daily and adding a compensating heat flux to prevent removed ice growing back too quickly. The assimilation greatly improves the sea ice extent for the forecast duration.
format Other/Unknown Material
author Williams, Timothy
Korosov, Anton
Rampal, Pierre
Ólason, Einar
spellingShingle Williams, Timothy
Korosov, Anton
Rampal, Pierre
Ólason, Einar
Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F
author_facet Williams, Timothy
Korosov, Anton
Rampal, Pierre
Ólason, Einar
author_sort Williams, Timothy
title Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F
title_short Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F
title_full Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F
title_fullStr Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F
title_full_unstemmed Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F
title_sort presentation and evaluation of the arctic sea ice forecasting system nextsim-f
publishDate 2021
url https://doi.org/10.5194/tc-15-3207-2021
https://tc.copernicus.org/articles/15/3207/2021/
long_lat ENVELOPE(-63.400,-63.400,-69.400,-69.400)
geographic Arctic
Bingham
Greenland
geographic_facet Arctic
Bingham
Greenland
genre Arctic
Greenland
Greenland Sea
Sea ice
genre_facet Arctic
Greenland
Greenland Sea
Sea ice
op_source eISSN: 1994-0424
op_relation info:eu-repo/grantAgreement/EC/FP7/607476
doi:10.5194/tc-15-3207-2021
https://tc.copernicus.org/articles/15/3207/2021/
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/tc-15-3207-2021
container_title The Cryosphere
container_volume 15
container_issue 7
container_start_page 3207
op_container_end_page 3227
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