Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter

Appropriate initial conditions are essential for accurate forecasts of sea ice conditions in the Arctic. We present a prototype of an assimilation and forecast system, where a new sea ice thickness data set based on the Soil Moisture and Ocean Salinity (SMOS) satellite data and sea ice concentration...

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Bibliographic Details
Main Authors: Yang, Qinghua, Loza, Svetlana, Losch, Martin, Tian-Kunze, Xiangshan, Nerger, Lars, Liu, Jiping, Kaleschke, Lars, Zhang, Zhanghai
Format: Conference Object
Language:unknown
Published: 2014
Subjects:
Arctic
Sea ice
Online Access:https://epic.awi.de/id/eprint/35272/
https://epic.awi.de/id/eprint/35272/1/IGS2014_Poster_qyang.pdf
https://hdl.handle.net/10013/epic.43298
https://hdl.handle.net/10013/epic.43298.d001
id ftawi:oai:epic.awi.de:35272
record_format openpolar
spelling ftawi:oai:epic.awi.de:35272 2023-05-15T14:27:51+02:00 Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter Yang, Qinghua Loza, Svetlana Losch, Martin Tian-Kunze, Xiangshan Nerger, Lars Liu, Jiping Kaleschke, Lars Zhang, Zhanghai 2014-03-10 application/pdf https://epic.awi.de/id/eprint/35272/ https://epic.awi.de/id/eprint/35272/1/IGS2014_Poster_qyang.pdf https://hdl.handle.net/10013/epic.43298 https://hdl.handle.net/10013/epic.43298.d001 unknown https://epic.awi.de/id/eprint/35272/1/IGS2014_Poster_qyang.pdf https://hdl.handle.net/10013/epic.43298.d001 Yang, Q. , Loza, S. orcid:0000-0003-2153-1954 , Losch, M. orcid:0000-0002-3824-5244 , Tian-Kunze, X. , Nerger, L. orcid:0000-0002-1908-1010 , Liu, J. , Kaleschke, L. and Zhang, Z. (2014) Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter , International Symposium on Sea Ice in a Changing Environment, Hobart, Australia, 10 March 2014 - 14 March 2014 . hdl:10013/epic.43298 EPIC3International Symposium on Sea Ice in a Changing Environment, Hobart, Australia, 2014-03-10-2014-03-14 Conference notRev 2014 ftawi 2021-12-24T15:39:27Z Appropriate initial conditions are essential for accurate forecasts of sea ice conditions in the Arctic. We present a prototype of an assimilation and forecast system, where a new sea ice thickness data set based on the Soil Moisture and Ocean Salinity (SMOS) satellite data and sea ice concentration data (SSMIS) are assimilated with a local Singular Evolutive Interoplated Kalman (SEIK) [3] filter. The system is run for 3 months in the transition between autumn and winter 2011/2012. Forecasts of different length are evaluated and compared to independent in-situ data. Conference Object Arctic Arctic Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Appropriate initial conditions are essential for accurate forecasts of sea ice conditions in the Arctic. We present a prototype of an assimilation and forecast system, where a new sea ice thickness data set based on the Soil Moisture and Ocean Salinity (SMOS) satellite data and sea ice concentration data (SSMIS) are assimilated with a local Singular Evolutive Interoplated Kalman (SEIK) [3] filter. The system is run for 3 months in the transition between autumn and winter 2011/2012. Forecasts of different length are evaluated and compared to independent in-situ data.
format Conference Object
author Yang, Qinghua
Loza, Svetlana
Losch, Martin
Tian-Kunze, Xiangshan
Nerger, Lars
Liu, Jiping
Kaleschke, Lars
Zhang, Zhanghai
spellingShingle Yang, Qinghua
Loza, Svetlana
Losch, Martin
Tian-Kunze, Xiangshan
Nerger, Lars
Liu, Jiping
Kaleschke, Lars
Zhang, Zhanghai
Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter
author_facet Yang, Qinghua
Loza, Svetlana
Losch, Martin
Tian-Kunze, Xiangshan
Nerger, Lars
Liu, Jiping
Kaleschke, Lars
Zhang, Zhanghai
author_sort Yang, Qinghua
title Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter
title_short Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter
title_full Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter
title_fullStr Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter
title_full_unstemmed Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter
title_sort improving the arctic sea-ice numerical forecasts by assimilation using a local seik filter
publishDate 2014
url https://epic.awi.de/id/eprint/35272/
https://epic.awi.de/id/eprint/35272/1/IGS2014_Poster_qyang.pdf
https://hdl.handle.net/10013/epic.43298
https://hdl.handle.net/10013/epic.43298.d001
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
Sea ice
genre_facet Arctic
Arctic
Sea ice
op_source EPIC3International Symposium on Sea Ice in a Changing Environment, Hobart, Australia, 2014-03-10-2014-03-14
op_relation https://epic.awi.de/id/eprint/35272/1/IGS2014_Poster_qyang.pdf
https://hdl.handle.net/10013/epic.43298.d001
Yang, Q. , Loza, S. orcid:0000-0003-2153-1954 , Losch, M. orcid:0000-0002-3824-5244 , Tian-Kunze, X. , Nerger, L. orcid:0000-0002-1908-1010 , Liu, J. , Kaleschke, L. and Zhang, Z. (2014) Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter , International Symposium on Sea Ice in a Changing Environment, Hobart, Australia, 10 March 2014 - 14 March 2014 . hdl:10013/epic.43298
_version_ 1766301883546206208

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