Abstract
The availability of high-resolution atmospheric/ocean forecast models, satellite data and access to high-performance computing clusters have provided capability to build high-resolution models for regional ice condition simulation. The paper describes the implementation of the Los Alamos sea ice model (CICE) on a regional scale at high resolution. The advantage of the model is its ability to include oceanographic parameters (e.g., currents) to provide accurate results. The sea ice simulation was performed over Baffin Bay and the Labrador Sea to retrieve important parameters such as ice concentration, thickness, ridging, and drift. Two different forcing models, one with low resolution and another with a high resolution, were used for the estimation of sensitivity of model results. Sea ice behavior over 7 years was simulated to analyze ice formation, melting, and conditions in the region. Validation was based on comparing model results with remote sensing data. The simulated ice concentration correlated well with Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and Ocean and Sea Ice Satellite Application Facility (OSI-SAF) data. Visual comparison of ice thickness trends estimated from the Soil Moisture and Ocean Salinity satellite (SMOS) agreed with the simulation for year 2010–2011.
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The authors would like to acknowledge Research and Development Corporation (RDC) of Newfoundland, Canada for the financial support, ACENet for providing computational resources, and Deirdre Green for English proofreading.
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Responsible Editor: Yasumasa Miyazawa
This article is part of the Topical Collection on the 6th International Workshop on Modeling the Ocean (IWMO) in Halifax, Nova Scotia, Canada 23-27 June 2014
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Prasad, S., Zakharov, I., Bobby, P. et al. The implementation of sea ice model on a regional high-resolution scale. Ocean Dynamics 65, 1353–1366 (2015). https://doi.org/10.1007/s10236-015-0877-z
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DOI: https://doi.org/10.1007/s10236-015-0877-z