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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2021
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ftdoajarticles:oai:doaj.org/article:01cba34c166f447d8e0082e9cb5f7c89 2023-05-15T14:58:35+02:00 Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F T. Williams A. Korosov P. Rampal E. Ólason 2021-07-01T00:00:00Z https://doi.org/10.5194/tc-15-3207-2021 https://doaj.org/article/01cba34c166f447d8e0082e9cb5f7c89 EN eng Copernicus Publications https://tc.copernicus.org/articles/15/3207/2021/tc-15-3207-2021.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-15-3207-2021 1994-0416 1994-0424 https://doaj.org/article/01cba34c166f447d8e0082e9cb5f7c89 The Cryosphere, Vol 15, Pp 3207-3227 (2021) Environmental sciences GE1-350 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/tc-15-3207-2021 2022-12-31T13:52:32Z 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. Article in Journal/Newspaper Arctic Greenland Greenland Sea Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic Bingham ENVELOPE(-63.400,-63.400,-69.400,-69.400) Greenland The Cryosphere 15 7 3207 3227 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 T. Williams A. Korosov P. Rampal E. Ólason Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
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 |
Article in Journal/Newspaper |
author |
T. Williams A. Korosov P. Rampal E. Ólason |
author_facet |
T. Williams A. Korosov P. Rampal E. Ólason |
author_sort |
T. Williams |
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 |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/tc-15-3207-2021 https://doaj.org/article/01cba34c166f447d8e0082e9cb5f7c89 |
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 The Cryosphere |
genre_facet |
Arctic Greenland Greenland Sea Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 15, Pp 3207-3227 (2021) |
op_relation |
https://tc.copernicus.org/articles/15/3207/2021/tc-15-3207-2021.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-15-3207-2021 1994-0416 1994-0424 https://doaj.org/article/01cba34c166f447d8e0082e9cb5f7c89 |
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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