On the assimilation of ice velocity and concentration data into large-scale sea ice models
International audience Data assimilation into sea ice models designed for climate studies has started about 15 years ago. In most of the studies conducted so far, it is assumed that the improvement brought by the assimilation is straightforward. However, some studies suggest this might not be true....
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ftinsu:oai:HAL:hal-00298338v1 2023-11-12T04:13:33+01:00 On the assimilation of ice velocity and concentration data into large-scale sea ice models Dulière, V. Fichefet, T. Université Catholique de Louvain = Catholic University of Louvain (UCL) 2007-06-08 https://hal.science/hal-00298338 https://hal.science/hal-00298338/document https://hal.science/hal-00298338/file/os-3-321-2007.pdf en eng HAL CCSD European Geosciences Union hal-00298338 https://hal.science/hal-00298338 https://hal.science/hal-00298338/document https://hal.science/hal-00298338/file/os-3-321-2007.pdf info:eu-repo/semantics/OpenAccess ISSN: 1812-0784 EISSN: 1812-0792 Ocean Science https://hal.science/hal-00298338 Ocean Science, 2007, 3 (2), pp.321-335 [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2007 ftinsu 2023-10-25T16:28:06Z International audience Data assimilation into sea ice models designed for climate studies has started about 15 years ago. In most of the studies conducted so far, it is assumed that the improvement brought by the assimilation is straightforward. However, some studies suggest this might not be true. In order to elucidate this question and to find an appropriate way to further assimilate sea ice concentration and velocity observations into a global sea ice-ocean model, we analyze here results from a number of twin experiments (i.e. experiments in which the assimilated data are model outputs) carried out with a simplified model of the Arctic sea ice pack. Our objective is to determine to what degree the assimilation of ice velocity and/or concentration data improves the global performance of the model and, more specifically, reduces the error in the computed ice thickness. A simple optimal interpolation scheme is used, and outputs from a control run and from perturbed experiments without and with data assimilation are thoroughly compared. Our results indicate that, under certain conditions depending on the assimilation weights and the type of model error, the assimilation of ice velocity data enhances the model performance. The assimilation of ice concentration data can also help in improving the model behavior, but it has to be handled with care because of the strong connection between ice concentration and ice thickness. This study is first step towards real data assimilation into NEMO-LIM, a global sea ice-ocean model. Article in Journal/Newspaper Arctic ice pack Sea ice Institut national des sciences de l'Univers: HAL-INSU Arctic |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Dulière, V. Fichefet, T. On the assimilation of ice velocity and concentration data into large-scale sea ice models |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience Data assimilation into sea ice models designed for climate studies has started about 15 years ago. In most of the studies conducted so far, it is assumed that the improvement brought by the assimilation is straightforward. However, some studies suggest this might not be true. In order to elucidate this question and to find an appropriate way to further assimilate sea ice concentration and velocity observations into a global sea ice-ocean model, we analyze here results from a number of twin experiments (i.e. experiments in which the assimilated data are model outputs) carried out with a simplified model of the Arctic sea ice pack. Our objective is to determine to what degree the assimilation of ice velocity and/or concentration data improves the global performance of the model and, more specifically, reduces the error in the computed ice thickness. A simple optimal interpolation scheme is used, and outputs from a control run and from perturbed experiments without and with data assimilation are thoroughly compared. Our results indicate that, under certain conditions depending on the assimilation weights and the type of model error, the assimilation of ice velocity data enhances the model performance. The assimilation of ice concentration data can also help in improving the model behavior, but it has to be handled with care because of the strong connection between ice concentration and ice thickness. This study is first step towards real data assimilation into NEMO-LIM, a global sea ice-ocean model. |
author2 |
Université Catholique de Louvain = Catholic University of Louvain (UCL) |
format |
Article in Journal/Newspaper |
author |
Dulière, V. Fichefet, T. |
author_facet |
Dulière, V. Fichefet, T. |
author_sort |
Dulière, V. |
title |
On the assimilation of ice velocity and concentration data into large-scale sea ice models |
title_short |
On the assimilation of ice velocity and concentration data into large-scale sea ice models |
title_full |
On the assimilation of ice velocity and concentration data into large-scale sea ice models |
title_fullStr |
On the assimilation of ice velocity and concentration data into large-scale sea ice models |
title_full_unstemmed |
On the assimilation of ice velocity and concentration data into large-scale sea ice models |
title_sort |
on the assimilation of ice velocity and concentration data into large-scale sea ice models |
publisher |
HAL CCSD |
publishDate |
2007 |
url |
https://hal.science/hal-00298338 https://hal.science/hal-00298338/document https://hal.science/hal-00298338/file/os-3-321-2007.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic ice pack Sea ice |
genre_facet |
Arctic ice pack Sea ice |
op_source |
ISSN: 1812-0784 EISSN: 1812-0792 Ocean Science https://hal.science/hal-00298338 Ocean Science, 2007, 3 (2), pp.321-335 |
op_relation |
hal-00298338 https://hal.science/hal-00298338 https://hal.science/hal-00298338/document https://hal.science/hal-00298338/file/os-3-321-2007.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1782331496151908352 |