Coupled data assimilation in climate research: A brief review of applications in ocean and land
Regions of the cryosphere, including the poles, that are currently unmonitored are expanding, therefore increasing the importance of satellite observations for such regions. With the increasing availability of satellite data in recent years, data assimilation research that combines forecasting model...
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ftwhioceojs:oai:ojs.ojs.whioce.com:article/599 2023-05-15T18:18:24+02:00 Coupled data assimilation in climate research: A brief review of applications in ocean and land Suzuki 1, Kazuyoshi Zupanski 2, Milija 2018-07-26 application/pdf https://ojs.whioce.com/index.php/som/article/view/599 https://doi.org/10.18063/som.v3i2.599 eng eng Whioce Publishing Pte Ltd https://ojs.whioce.com/index.php/som/article/view/599/460 https://ojs.whioce.com/index.php/som/article/view/599 doi:10.18063/som.v3i2.599 Copyright (c) 2018 Satellite Oceanography and Meteorology Satellite Oceanography and Meteorology; Vol 3 , No 2 (Published) 2424-9505 2424-8959 coupled atmosphere-ocean/land uncoupled data assimilation weakly coupled data assimilation strongly coupled data assimilation error covariance info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article 2018 ftwhioceojs https://doi.org/10.18063/som.v3i2.599 2022-04-06T07:28:29Z Regions of the cryosphere, including the poles, that are currently unmonitored are expanding, therefore increasing the importance of satellite observations for such regions. With the increasing availability of satellite data in recent years, data assimilation research that combines forecasting models with observational data has begun to flourish. Coupled land/ice-atmosphere/ocean models generally improve the forecasting ability of models. Data assimilation plays an important role in such coupled models, by providing initial conditions and/or empirical parameter estimation. Coupled data assimilation can generally be divided into three types: uncoupled, weakly coupled, or strongly coupled. This review provides an overview of coupled data assimilation, introduces examples of its use in research on sea ice-ocean interactions and the land, and discusses its future outlook. Assimilation of coupled data constitutes an effective method for monitoring cold regions for which observational data are scarce and should prove useful for climate change research and the design of efficient monitoring networks in the future. Article in Journal/Newspaper Sea ice Whioce Journals Satellite Oceanography and Meteorology 3 2 |
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Open Polar |
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Whioce Journals |
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ftwhioceojs |
language |
English |
topic |
coupled atmosphere-ocean/land uncoupled data assimilation weakly coupled data assimilation strongly coupled data assimilation error covariance |
spellingShingle |
coupled atmosphere-ocean/land uncoupled data assimilation weakly coupled data assimilation strongly coupled data assimilation error covariance Suzuki 1, Kazuyoshi Zupanski 2, Milija Coupled data assimilation in climate research: A brief review of applications in ocean and land |
topic_facet |
coupled atmosphere-ocean/land uncoupled data assimilation weakly coupled data assimilation strongly coupled data assimilation error covariance |
description |
Regions of the cryosphere, including the poles, that are currently unmonitored are expanding, therefore increasing the importance of satellite observations for such regions. With the increasing availability of satellite data in recent years, data assimilation research that combines forecasting models with observational data has begun to flourish. Coupled land/ice-atmosphere/ocean models generally improve the forecasting ability of models. Data assimilation plays an important role in such coupled models, by providing initial conditions and/or empirical parameter estimation. Coupled data assimilation can generally be divided into three types: uncoupled, weakly coupled, or strongly coupled. This review provides an overview of coupled data assimilation, introduces examples of its use in research on sea ice-ocean interactions and the land, and discusses its future outlook. Assimilation of coupled data constitutes an effective method for monitoring cold regions for which observational data are scarce and should prove useful for climate change research and the design of efficient monitoring networks in the future. |
format |
Article in Journal/Newspaper |
author |
Suzuki 1, Kazuyoshi Zupanski 2, Milija |
author_facet |
Suzuki 1, Kazuyoshi Zupanski 2, Milija |
author_sort |
Suzuki 1, Kazuyoshi |
title |
Coupled data assimilation in climate research: A brief review of applications in ocean and land |
title_short |
Coupled data assimilation in climate research: A brief review of applications in ocean and land |
title_full |
Coupled data assimilation in climate research: A brief review of applications in ocean and land |
title_fullStr |
Coupled data assimilation in climate research: A brief review of applications in ocean and land |
title_full_unstemmed |
Coupled data assimilation in climate research: A brief review of applications in ocean and land |
title_sort |
coupled data assimilation in climate research: a brief review of applications in ocean and land |
publisher |
Whioce Publishing Pte Ltd |
publishDate |
2018 |
url |
https://ojs.whioce.com/index.php/som/article/view/599 https://doi.org/10.18063/som.v3i2.599 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Satellite Oceanography and Meteorology; Vol 3 , No 2 (Published) 2424-9505 2424-8959 |
op_relation |
https://ojs.whioce.com/index.php/som/article/view/599/460 https://ojs.whioce.com/index.php/som/article/view/599 doi:10.18063/som.v3i2.599 |
op_rights |
Copyright (c) 2018 Satellite Oceanography and Meteorology |
op_doi |
https://doi.org/10.18063/som.v3i2.599 |
container_title |
Satellite Oceanography and Meteorology |
container_volume |
3 |
container_issue |
2 |
_version_ |
1766194964464664576 |