Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact
Abstract A detailed description of the data assimilation scheme used in the Forecasting Ocean Assimilation Model (FOAM) operational ocean forecasting system is presented. The theoretical basis for the scheme is an improved version of the analysis correction scheme, which includes information from pr...
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crwiley:10.1002/qj.74 2024-09-15T18:23:41+00:00 Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact Martin, M. J. Hines, A. Bell, M. J. 2007 http://dx.doi.org/10.1002/qj.74 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.74 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.74 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Quarterly Journal of the Royal Meteorological Society volume 133, issue 625, page 981-995 ISSN 0035-9009 1477-870X journal-article 2007 crwiley https://doi.org/10.1002/qj.74 2024-08-22T04:16:22Z Abstract A detailed description of the data assimilation scheme used in the Forecasting Ocean Assimilation Model (FOAM) operational ocean forecasting system is presented. The theoretical basis for the scheme is an improved version of the analysis correction scheme, which includes information from previously assimilated data. The scheme requires the a priori specification of error covariance information for the background model field and the observations. The way in which these error covariances have been estimated is described and some examples are given. The FOAM system assimilates sea surface temperature, sea‐level anomaly, temperature profile, salinity profile and sea‐ice concentration data. Aspects of the scheme that are specific to each of these observation types are described. Two sets of experiments demonstrating the impact of the data assimilation are presented. The first set are in an idealized identical‐twin setting, using the ${1}\over{9}$ ° ‐resolution North Atlantic FOAM configuration in which the state of the true ocean is assumed to be known. These experiments show that the analyses and forecasts are improved by assimilating the altimeter sea‐level‐anomaly data. The second set of experiments comprise data impact studies in a realistic hindcast setting. These experiments show a positive impact on the analyses from the Argo temperature‐ and salinity‐profile data. Copyright © 2007 Royal Meteorological Society Article in Journal/Newspaper North Atlantic Sea ice Wiley Online Library Quarterly Journal of the Royal Meteorological Society 133 625 981 995 |
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English |
description |
Abstract A detailed description of the data assimilation scheme used in the Forecasting Ocean Assimilation Model (FOAM) operational ocean forecasting system is presented. The theoretical basis for the scheme is an improved version of the analysis correction scheme, which includes information from previously assimilated data. The scheme requires the a priori specification of error covariance information for the background model field and the observations. The way in which these error covariances have been estimated is described and some examples are given. The FOAM system assimilates sea surface temperature, sea‐level anomaly, temperature profile, salinity profile and sea‐ice concentration data. Aspects of the scheme that are specific to each of these observation types are described. Two sets of experiments demonstrating the impact of the data assimilation are presented. The first set are in an idealized identical‐twin setting, using the ${1}\over{9}$ ° ‐resolution North Atlantic FOAM configuration in which the state of the true ocean is assumed to be known. These experiments show that the analyses and forecasts are improved by assimilating the altimeter sea‐level‐anomaly data. The second set of experiments comprise data impact studies in a realistic hindcast setting. These experiments show a positive impact on the analyses from the Argo temperature‐ and salinity‐profile data. Copyright © 2007 Royal Meteorological Society |
format |
Article in Journal/Newspaper |
author |
Martin, M. J. Hines, A. Bell, M. J. |
spellingShingle |
Martin, M. J. Hines, A. Bell, M. J. Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact |
author_facet |
Martin, M. J. Hines, A. Bell, M. J. |
author_sort |
Martin, M. J. |
title |
Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact |
title_short |
Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact |
title_full |
Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact |
title_fullStr |
Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact |
title_full_unstemmed |
Data assimilation in the FOAM operational short‐range ocean forecasting system: a description of the scheme and its impact |
title_sort |
data assimilation in the foam operational short‐range ocean forecasting system: a description of the scheme and its impact |
publisher |
Wiley |
publishDate |
2007 |
url |
http://dx.doi.org/10.1002/qj.74 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.74 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.74 |
genre |
North Atlantic Sea ice |
genre_facet |
North Atlantic Sea ice |
op_source |
Quarterly Journal of the Royal Meteorological Society volume 133, issue 625, page 981-995 ISSN 0035-9009 1477-870X |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/qj.74 |
container_title |
Quarterly Journal of the Royal Meteorological Society |
container_volume |
133 |
container_issue |
625 |
container_start_page |
981 |
op_container_end_page |
995 |
_version_ |
1810463931817263104 |