Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model
In this study, we show assimilation results from a coupled ocean sea-ice model. The model has a horizontal resolution of 2.5 km. In the assimilation system, we assimilate high-resolution ice charts, structured on a 1 km grid. We compare the assimilation of passive microwave observations with the ass...
Published in: | IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium |
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Language: | English |
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Online Access: | https://hdl.handle.net/10037/31502 https://doi.org/10.1109/IGARSS.2019.8898221 |
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ftunivtroemsoe:oai:munin.uit.no:10037/31502 2023-11-05T03:44:58+01:00 Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model Fritzner, Sindre Markus Christensen, Kai Håkon Graversen, Rune Wang, Keguang 2019 https://hdl.handle.net/10037/31502 https://doi.org/10.1109/IGARSS.2019.8898221 eng eng FRIDAID 1780194 doi:10.1109/IGARSS.2019.8898221 https://hdl.handle.net/10037/31502 openAccess Copyright 2019 The Author(s) Journal article Tidsskriftartikkel acceptedVersion 2019 ftunivtroemsoe https://doi.org/10.1109/IGARSS.2019.8898221 2023-10-11T23:07:51Z In this study, we show assimilation results from a coupled ocean sea-ice model. The model has a horizontal resolution of 2.5 km. In the assimilation system, we assimilate high-resolution ice charts, structured on a 1 km grid. We compare the assimilation of passive microwave observations with the assimilation of ice charts. It is shown that the ice charts have a larger impact on the assimilation system than the passive microwave observations. In addition, a few results from the assimilation system with ice charts are shown. These indicate improvements for the assimilation system assimilating ice charts compared to a free-run without assimilation and an assimilation system assimilating passive microwave observations. Article in Journal/Newspaper Sea ice University of Tromsø: Munin Open Research Archive IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium 4214 4217 |
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Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
In this study, we show assimilation results from a coupled ocean sea-ice model. The model has a horizontal resolution of 2.5 km. In the assimilation system, we assimilate high-resolution ice charts, structured on a 1 km grid. We compare the assimilation of passive microwave observations with the assimilation of ice charts. It is shown that the ice charts have a larger impact on the assimilation system than the passive microwave observations. In addition, a few results from the assimilation system with ice charts are shown. These indicate improvements for the assimilation system assimilating ice charts compared to a free-run without assimilation and an assimilation system assimilating passive microwave observations. |
format |
Article in Journal/Newspaper |
author |
Fritzner, Sindre Markus Christensen, Kai Håkon Graversen, Rune Wang, Keguang |
spellingShingle |
Fritzner, Sindre Markus Christensen, Kai Håkon Graversen, Rune Wang, Keguang Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model |
author_facet |
Fritzner, Sindre Markus Christensen, Kai Håkon Graversen, Rune Wang, Keguang |
author_sort |
Fritzner, Sindre Markus |
title |
Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model |
title_short |
Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model |
title_full |
Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model |
title_fullStr |
Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model |
title_full_unstemmed |
Assimilation of high-resolution ice charts in a coupled ocean-sea-ice model |
title_sort |
assimilation of high-resolution ice charts in a coupled ocean-sea-ice model |
publishDate |
2019 |
url |
https://hdl.handle.net/10037/31502 https://doi.org/10.1109/IGARSS.2019.8898221 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
FRIDAID 1780194 doi:10.1109/IGARSS.2019.8898221 https://hdl.handle.net/10037/31502 |
op_rights |
openAccess Copyright 2019 The Author(s) |
op_doi |
https://doi.org/10.1109/IGARSS.2019.8898221 |
container_title |
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
4214 |
op_container_end_page |
4217 |
_version_ |
1781706124523732992 |