Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM)
The feasibility of assimilating sea ice thickness (SIT) observations derived from CryoSat-2 along-track measurements of sea ice freeboard is successfully demonstrated using a 3D-Var assimilation scheme, NEMOVAR, within the Met Office's global, coupled ocean–sea-ice model, Forecast Ocean Assimil...
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2022
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ftdoajarticles:oai:doaj.org/article:23c421c18e5349a29bac8f8ee7abba9c 2023-05-15T14:56:49+02:00 Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. K. Fiedler M. J. Martin E. Blockley D. Mignac N. Fournier A. Ridout A. Shepherd R. Tilling 2022-01-01T00:00:00Z https://doi.org/10.5194/tc-16-61-2022 https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c EN eng Copernicus Publications https://tc.copernicus.org/articles/16/61/2022/tc-16-61-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-61-2022 1994-0416 1994-0424 https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c The Cryosphere, Vol 16, Pp 61-85 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-61-2022 2022-12-31T15:14:18Z The feasibility of assimilating sea ice thickness (SIT) observations derived from CryoSat-2 along-track measurements of sea ice freeboard is successfully demonstrated using a 3D-Var assimilation scheme, NEMOVAR, within the Met Office's global, coupled ocean–sea-ice model, Forecast Ocean Assimilation Model (FOAM). The CryoSat-2 Arctic freeboard measurements are produced by the Centre for Polar Observation and Modelling (CPOM) and are converted to SIT within FOAM using modelled snow depth. This is the first time along-track observations of SIT have been used in this way, with other centres assimilating gridded and temporally averaged observations. The assimilation leads to improvements in the SIT analysis and forecast fields generated by FOAM, particularly in the Canadian Arctic. Arctic-wide observation-minus-background assimilation statistics for 2015–2017 show improvements of 0.75 m mean difference and 0.41 m root-mean-square difference (RMSD) in the freeze-up period and 0.46 m mean difference and 0.33 m RMSD in the ice break-up period. Validation of the SIT analysis against independent springtime in situ SIT observations from NASA Operation IceBridge (OIB) shows improvement in the SIT analysis of 0.61 m mean difference (0.42 m RMSD) compared to a control without SIT assimilation. Similar improvements are seen in the FOAM 5 d SIT forecast. Validation of the SIT assimilation with independent Beaufort Gyre Exploration Project (BGEP) sea ice draft observations does not show an improvement, since the assimilated CryoSat-2 observations compare similarly to the model without assimilation in this region. Comparison with airborne electromagnetic induction (Air-EM) combined measurements of SIT and snow depth shows poorer results for the assimilation compared to the control, despite covering similar locations to the OIB and BGEP datasets. This may be evidence of sampling uncertainty in the matchups with the Air-EM validation dataset, owing to the limited number of observations available over the time period of interest. ... Article in Journal/Newspaper Arctic NASA Operation IceBridge (OIB) Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic The Cryosphere 16 1 61 85 |
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 E. K. Fiedler M. J. Martin E. Blockley D. Mignac N. Fournier A. Ridout A. Shepherd R. Tilling Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
The feasibility of assimilating sea ice thickness (SIT) observations derived from CryoSat-2 along-track measurements of sea ice freeboard is successfully demonstrated using a 3D-Var assimilation scheme, NEMOVAR, within the Met Office's global, coupled ocean–sea-ice model, Forecast Ocean Assimilation Model (FOAM). The CryoSat-2 Arctic freeboard measurements are produced by the Centre for Polar Observation and Modelling (CPOM) and are converted to SIT within FOAM using modelled snow depth. This is the first time along-track observations of SIT have been used in this way, with other centres assimilating gridded and temporally averaged observations. The assimilation leads to improvements in the SIT analysis and forecast fields generated by FOAM, particularly in the Canadian Arctic. Arctic-wide observation-minus-background assimilation statistics for 2015–2017 show improvements of 0.75 m mean difference and 0.41 m root-mean-square difference (RMSD) in the freeze-up period and 0.46 m mean difference and 0.33 m RMSD in the ice break-up period. Validation of the SIT analysis against independent springtime in situ SIT observations from NASA Operation IceBridge (OIB) shows improvement in the SIT analysis of 0.61 m mean difference (0.42 m RMSD) compared to a control without SIT assimilation. Similar improvements are seen in the FOAM 5 d SIT forecast. Validation of the SIT assimilation with independent Beaufort Gyre Exploration Project (BGEP) sea ice draft observations does not show an improvement, since the assimilated CryoSat-2 observations compare similarly to the model without assimilation in this region. Comparison with airborne electromagnetic induction (Air-EM) combined measurements of SIT and snow depth shows poorer results for the assimilation compared to the control, despite covering similar locations to the OIB and BGEP datasets. This may be evidence of sampling uncertainty in the matchups with the Air-EM validation dataset, owing to the limited number of observations available over the time period of interest. ... |
format |
Article in Journal/Newspaper |
author |
E. K. Fiedler M. J. Martin E. Blockley D. Mignac N. Fournier A. Ridout A. Shepherd R. Tilling |
author_facet |
E. K. Fiedler M. J. Martin E. Blockley D. Mignac N. Fournier A. Ridout A. Shepherd R. Tilling |
author_sort |
E. K. Fiedler |
title |
Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) |
title_short |
Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) |
title_full |
Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) |
title_fullStr |
Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) |
title_full_unstemmed |
Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) |
title_sort |
assimilation of sea ice thickness derived from cryosat-2 along-track freeboard measurements into the met office's forecast ocean assimilation model (foam) |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-61-2022 https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic NASA Operation IceBridge (OIB) Sea ice The Cryosphere |
genre_facet |
Arctic NASA Operation IceBridge (OIB) Sea ice The Cryosphere |
op_source |
The Cryosphere, Vol 16, Pp 61-85 (2022) |
op_relation |
https://tc.copernicus.org/articles/16/61/2022/tc-16-61-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-61-2022 1994-0416 1994-0424 https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c |
op_doi |
https://doi.org/10.5194/tc-16-61-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
1 |
container_start_page |
61 |
op_container_end_page |
85 |
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1766328877059145728 |