利用被动和主动微波卫星数据绘制多年海冰浓度图

E. Shalina, O. Johannessen
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引用次数: 4

摘要

尽管由于可以处理SMMR/SSMI被动微波数据,已经很好地描述了北极全冰盖的变化,但至少在冬季,北极冰盖组成的冰类型变化仍然需要量化。基于被动微波数据绘制多年冰浓度的算法存在许多问题。本文对这些问题进行了描述,并证明了QuikSCAT散射计数据可以在被动微波数据的基础上补充补充信息,有助于确定一年冰和多年冰的边界,并有助于消除被动微波算法在冰边缘地区错误分类的多年冰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi year sea ice concentration mapping using passive and active microwave satellite data
Though changes of the full ice cover in the Arctic are well described due to availability for processing SMMR/SSMI passive microwave data, changes of the composition of the Arctic ice cover, in terms of ice types still need to be quantified, at least for winter season. Algorithms for mapping multiyear ice concentrations based on passive microwave data suffer from a number of problems. In this paper, those problems are described and it has been shown that QuikSCAT scatterometer data can add complimentary information to that available from passive microwave, which can assist in fixing the boundary between first-year and multiyear ice and in removing erroneously classified by passive microwave algorithm multiyear ice in the ice edge area.
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