hdl:10013/epic.43298
Improving the Arctic sea-ice numerical forecasts by assimilation using a local SEIK filter
Yang, Qinghua, Loza, Svetlana 
ORCID: https://orcid.org/0000-0003-2153-1954, Losch, Martin ORCID: https://orcid.org/0000-0002-3824-5244, Tian-Kunze, Xiangshan, Nerger, Lars ORCID: https://orcid.org/0000-0002-1908-1010, Liu, Jiping, Kaleschke, Lars and Zhang, Zhanghai
;
ORCID: https://orcid.org/0000-0003-2153-1954, Losch, Martin ORCID: https://orcid.org/0000-0002-3824-5244, Tian-Kunze, Xiangshan, Nerger, Lars ORCID: https://orcid.org/0000-0002-1908-1010, Liu, Jiping, Kaleschke, Lars and Zhang, Zhanghai
;
Contact
qinghua.yang [ at ] awi.de
Abstract
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.
Item Type
Conference
(Poster)
Authors
Yang, Qinghua, Loza, Svetlana ORCID: https://orcid.org/0000-0003-2153-1954, Losch, Martin ORCID: https://orcid.org/0000-0002-3824-5244, Tian-Kunze, Xiangshan, Nerger, Lars ORCID: https://orcid.org/0000-0002-1908-1010, Liu, Jiping, Kaleschke, Lars and Zhang, Zhanghai
;
ORCID: https://orcid.org/0000-0003-2153-1954, Losch, Martin ORCID: https://orcid.org/0000-0002-3824-5244, Tian-Kunze, Xiangshan, Nerger, Lars ORCID: https://orcid.org/0000-0002-1908-1010, Liu, Jiping, Kaleschke, Lars and Zhang, Zhanghai
;
Divisions
Primary Division
Programs
Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 3: The earth system from a polar perspective > WP 3.3: From process understanding to enabling climate prediction
Primary Topic
Helmholtz Programs > Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 3: The earth system from a polar perspective > WP 3.3: From process understanding to enabling climate prediction
Publication Status
Published
Event Details
International Symposium on Sea Ice in a Changing Environment, 10 Mar 2014 - 14 Mar 2014, Hobart, Australia.
Eprint ID
35272
Cite as
Yang, Q.
,
Loza, S.
,
Losch, M.
,
Tian-Kunze, X.
,
Nerger, L.
,
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
.
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