Physically-based data assimilation
Ideally, a validation and assimilation scheme should maintain the physical principles embodied in the model and be able to evaluate and assimilate lower dimensional features (e.g., discontinuities) contained within a bulk simulation, even when these features are not directly observed or represented...
Published in: | Geoscientific Model Development |
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00028120 2023-05-15T18:18:19+02:00 Physically-based data assimilation Levy, G. Coon, M. Nguyen, G. Sulsky, D. 2010-11 electronic https://doi.org/10.5194/gmd-3-669-2010 https://noa.gwlb.de/receive/cop_mods_00028120 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00028075/gmd-3-669-2010.pdf https://gmd.copernicus.org/articles/3/669/2010/gmd-3-669-2010.pdf eng eng Copernicus Publications Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-3-669-2010 https://noa.gwlb.de/receive/cop_mods_00028120 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00028075/gmd-3-669-2010.pdf https://gmd.copernicus.org/articles/3/669/2010/gmd-3-669-2010.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2010 ftnonlinearchiv https://doi.org/10.5194/gmd-3-669-2010 2022-02-08T22:48:20Z Ideally, a validation and assimilation scheme should maintain the physical principles embodied in the model and be able to evaluate and assimilate lower dimensional features (e.g., discontinuities) contained within a bulk simulation, even when these features are not directly observed or represented by model variables. We present such a scheme and suggest its potential to resolve or alleviate some outstanding problems that stem from making and applying required, yet often non-physical, assumptions and procedures in common operational data assimilation. As proof of concept, we use a sea-ice model with remotely sensed observations of leads in a one-step assimilation cycle. Using the new scheme in a sixteen day simulation experiment introduces model skill (against persistence) several days earlier than in the control run, improves the overall model skill and delays its drop off at later stages of the simulation. The potential and requirements to extend this scheme to different applications, and to both empirical and statistical multivariate and full cycle data assimilation schemes, are discussed. Article in Journal/Newspaper Sea ice Niedersächsisches Online-Archiv NOA Geoscientific Model Development 3 2 669 677 |
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English |
topic |
article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Levy, G. Coon, M. Nguyen, G. Sulsky, D. Physically-based data assimilation |
topic_facet |
article Verlagsveröffentlichung |
description |
Ideally, a validation and assimilation scheme should maintain the physical principles embodied in the model and be able to evaluate and assimilate lower dimensional features (e.g., discontinuities) contained within a bulk simulation, even when these features are not directly observed or represented by model variables. We present such a scheme and suggest its potential to resolve or alleviate some outstanding problems that stem from making and applying required, yet often non-physical, assumptions and procedures in common operational data assimilation. As proof of concept, we use a sea-ice model with remotely sensed observations of leads in a one-step assimilation cycle. Using the new scheme in a sixteen day simulation experiment introduces model skill (against persistence) several days earlier than in the control run, improves the overall model skill and delays its drop off at later stages of the simulation. The potential and requirements to extend this scheme to different applications, and to both empirical and statistical multivariate and full cycle data assimilation schemes, are discussed. |
format |
Article in Journal/Newspaper |
author |
Levy, G. Coon, M. Nguyen, G. Sulsky, D. |
author_facet |
Levy, G. Coon, M. Nguyen, G. Sulsky, D. |
author_sort |
Levy, G. |
title |
Physically-based data assimilation |
title_short |
Physically-based data assimilation |
title_full |
Physically-based data assimilation |
title_fullStr |
Physically-based data assimilation |
title_full_unstemmed |
Physically-based data assimilation |
title_sort |
physically-based data assimilation |
publisher |
Copernicus Publications |
publishDate |
2010 |
url |
https://doi.org/10.5194/gmd-3-669-2010 https://noa.gwlb.de/receive/cop_mods_00028120 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00028075/gmd-3-669-2010.pdf https://gmd.copernicus.org/articles/3/669/2010/gmd-3-669-2010.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-3-669-2010 https://noa.gwlb.de/receive/cop_mods_00028120 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00028075/gmd-3-669-2010.pdf https://gmd.copernicus.org/articles/3/669/2010/gmd-3-669-2010.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/gmd-3-669-2010 |
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Geoscientific Model Development |
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3 |
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2 |
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669 |
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677 |
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1766194848439730176 |