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Discussion papers | Copyright
https://doi.org/10.5194/tc-2018-112
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Jul 2018

Research article | 02 Jul 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).

Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST

Siva Prasad1, Igor Zakharov2, Peter McGuire1,2, Desmond Power2, and Martin Richard3 Siva Prasad et al.
  • 1Memorial University of Newfoundland, Canada
  • 2C-CORE, Canada
  • 3National Research Council of Canada

Abstract. A multi-category numerical sea ice model CICE along with data assimilation was used to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The assimilation of ice concentration was performed using the data derived from Advanced Microwave Scanning Radiometer (AMSR-E & AMSR2). The model uses a mixed layer slab ocean parametrization to compute the Sea Surface Temperature (SST) and thereby to compute the potential to freezing/melting of ice. The data from Advanced Very High Resolution radiometer (AVHRR) was used to assimilate SST. The modeled ice parameters including concentration, ice thickness, freeboard, ridge height, and keel were compared with parameters estimated form remote sensing data. The ice thickness estimated from the model was compared with the measurements derived from Soil Moisture Ocean Salinity – Microwave Imaging Radiometer using Aperture Synthesis (SMOS-MIRAS). The ice concentration, thickness and freeboard estimates from model assimilated with both ice concentration and SST were found to be within the uncertainty of the observation except during March. The model estimated draft was compared with the measurements from an upward looking sonar (ULS) deployed in the Labrador Sea (near Makkovik Bank). The difference between modeled draft and ULS measurements estimated from the model was found to be within 10cm. The keel depth measurements from the ULS instruments were compared to the estimates from the model to retrieve a relationship between the ridge height and keel depth.

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Short summary
A numerical sea ice model CICE along with data assimilation was used to derive sea ice parameters in the region of Baffin Bay and Labrador Sea. The modeled ice parameters were compared with parameters estimated form remote sensing data. The ice concentration, thickness and freeboard estimates from model assimilated with both ice concentration and SST were found to be within the uncertainty of the observations except during March.
A numerical sea ice model CICE along with data assimilation was used to derive sea ice...
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