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  • 标题:Evaluation of simulated sea-ice concentrations from sea-ice/ ocean models using satellite data and polynya classification methods
  • 本地全文:下载
  • 作者:Susanne Adams ; Sascha Willmes ; Günther Heinemann
  • 期刊名称:Polar Research
  • 印刷版ISSN:1751-8369
  • 出版年度:2011
  • 卷号:30
  • 期号:0
  • DOI:10.3402/polar.v30i0.7124
  • 语种:English
  • 出版社:Co-Action Publishing
  • 摘要:Sea-ice concentrations in the Laptev Sea simulated by the coupled North Atlantic—Arctic Ocean—Sea-Ice Model and Finite Element Sea-Ice Ocean Model are evaluated using sea-ice concentrations from Advanced Microwave Scanning Radiometer—Earth Observing System satellite data and a polynya classification method for winter 2007/08. While developed to simulate largescale sea-ice conditions, both models are analysed here in terms of polynya simulation. The main modification of both models in this study is the implementation of a landfast-ice mask. Simulated sea-ice fields from different model runs are compared with emphasis placed on the impact of this prescribed landfast-ice mask. We demonstrate that sea-ice models are not able to simulate flaw polynyas realistically when used without fast-ice description. Our investigations indicate that without landfast ice and with coarse horizontal resolution the models overestimate the fraction of open water in the polynya. This is not because a realistic polynya appears but due to a larger-scale reduction of ice concentrations and smoothed ice-concentration fields. After implementation of a landfast-ice mask, the polynya location is realistically simulated but the total open-water area is still overestimated in most cases. The study shows that the fast-ice parameterization is essential for model improvements. However, further improvements are necessary in order to progress from the simulation of large-scale features in the Arctic towards a more detailed simulation of smaller-scaled features (here polynyas) in an Arctic shelf sea.Keywords: Polynyas; sea ice; sea-ice/ocean models; remote sensing(Published: 9 May 2011)Citation: Polar Research 2011, 30, 7124, DOI: 10.3402/polar.v30i0.7124
  • 关键词:polynyas; sea ice; sea-ice/ocean models; remote sensing
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