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  Assimilating SMOS sea ice thickness into a coupled ice-ocean model using a local SEIK filter

Yang, Q., Losch, M., Tian-Kunze, L., Nerger, L., Liu, J., Kaleschke, L., et al. (2014). Assimilating SMOS sea ice thickness into a coupled ice-ocean model using a local SEIK filter. Journal of Geophysical Research: Oceans, 119(10), 6680-6692. doi:10.1002/2014JC009963.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-2425-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-A548-4
Genre: Journal Article

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 Creators:
Yang, Q., Author
Losch, M., Author
Tian-Kunze, L., Author
Nerger, L., Author
Liu, J., Author
Kaleschke, Lars1, Author              
Zhang, Z., Author
Affiliations:
1B 1 - Arctic and Permafrost, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, ou_1863481              

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 Abstract: The impact of assimilating sea ice thickness data derived from ESA's Soil Moisture and Ocean Salinity (SMOS) satellite together with Special Sensor Microwave Imager/Sounder (SSMIS) sea ice concentration data of the National Snow and Ice Data Center (NSIDC) in a coupled sea ice-ocean model is examined. A period of 3 months from 1 November 2011 to 31 January 2012 is selected to assess the forecast skill of the assimilation system. The 24 h forecasts and longer forecasts are based on the Massachusetts Institute of Technology general circulation model (MITgcm), and the assimilation is performed by a localized Singular Evolutive Interpolated Kalman (LSEIK) filter. For comparison, the assimilation is repeated only with the SSMIS sea ice concentrations. By running two different assimilation experiments, and comparing with the unassimilated model, independent satellite-derived data, and in situ observation, it is shown that the SMOS ice thickness assimilation leads to improved thickness forecasts. With SMOS thickness data, the sea ice concentration forecasts also agree better with observations, although this improvement is smaller.

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Language(s): eng - English
 Dates: 2014-10-082014
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/2014JC009963
 Degree: -

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Title: Journal of Geophysical Research: Oceans
  Other : JGR
Source Genre: Journal
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Publ. Info: Hoboken, NJ : Wiley
Pages: - Volume / Issue: 119 (10) Sequence Number: - Start / End Page: 6680 - 6692 Identifier: Other: 2169-9291
CoNE: /journals/resource/2169-9291