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...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: E. K. Fiedler, M. J. Martin, E. Blockley, D. Mignac, N. Fournier, A. Ridout, A. Shepherd, R. Tilling
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-16-61-2022
https://tc.copernicus.org/articles/16/61/2022/tc-16-61-2022.pdf
https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c
id fttriple:oai:gotriple.eu:oai:doaj.org/article:23c421c18e5349a29bac8f8ee7abba9c
record_format openpolar
spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:23c421c18e5349a29bac8f8ee7abba9c 2023-05-15T14:56:56+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 2022-01-01 https://doi.org/10.5194/tc-16-61-2022 https://tc.copernicus.org/articles/16/61/2022/tc-16-61-2022.pdf https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c en eng Copernicus Publications doi:10.5194/tc-16-61-2022 1994-0416 1994-0424 https://tc.copernicus.org/articles/16/61/2022/tc-16-61-2022.pdf https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c undefined The Cryosphere, Vol 16, Pp 61-85 (2022) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.5194/tc-16-61-2022 2023-01-22T17:53:16Z 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 Unknown Arctic The Cryosphere 16 1 61 85
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
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 geo
envir
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://tc.copernicus.org/articles/16/61/2022/tc-16-61-2022.pdf
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 doi:10.5194/tc-16-61-2022
1994-0416
1994-0424
https://tc.copernicus.org/articles/16/61/2022/tc-16-61-2022.pdf
https://doaj.org/article/23c421c18e5349a29bac8f8ee7abba9c
op_rights undefined
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
_version_ 1766328985923354624