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基于卫星数据改进计算白冠覆盖率的模型
引用本文:任丹琴,华锋,杨永增,孙宝楠.基于卫星数据改进计算白冠覆盖率的模型[J].海洋学报(英文版),2016,35(5):66-72.
作者姓名:任丹琴  华锋  杨永增  孙宝楠
作者单位:国家海洋局第一海洋研究所, 山东省青岛市崂山区仙霞岭路6号, 266100,国家海洋局第一海洋研究所, 山东省青岛市崂山区仙霞岭路6号, 266100,国家海洋局第一海洋研究所, 山东省青岛市崂山区仙霞岭路6号, 266100,国家海洋局第一海洋研究所, 山东省青岛市崂山区仙霞岭路6号, 266100
基金项目:The National Key Basic Research Program (973 Program) of China under contract No.2010CB950404; the National High Technology Research and Development Program (863 Program) of China under contract No.2013AA09A506; the Basic Scientific Fund for National Public Research Institutes of China under contract No.GY0214G01; the Ocean Renewable Energy Special Fund Project of the State Oceanic Administration of China under contract No.GHME2011ZC07.
摘    要:本文基于白冠覆盖率的历史研究,总结了计算白冠覆盖率的参数化方案和海浪破碎统计模型,并分析比较其优缺点。通过结合基于卫星数据的参数化公式,利用最优拟合的方法,得到不同限制条件下模型中的系数Cenn。通过分析考虑海浪破碎条件,确定了适用于一般海浪状况的系数值。通过比较白冠覆盖率的卫星数据和原始模型的模拟结果,可知改进后模型的结果更合理,同时与历史研究结论相符。文中还分析了从1998年到2008年十年平均的全球白冠覆盖率的季节性分布特征。在中高纬度海域,全年白冠覆盖率的值最大,而在低纬度和赤道海域,白冠覆盖率小于0.5%,全球白冠覆盖率的平均值大约为1% ~3%。北半球中高纬度海域的白冠覆盖率的季节性变化显著大于南半球。

关 键 词:白冠覆盖率  海浪破碎统计模型  参数化方案
收稿时间:2015/5/15 0:00:00
修稿时间:2015/8/20 0:00:00

The improved model of estimating global whitecap coverage based on satellite data
REN Danqin,HUA Feng,YANG Yongzeng and SUN Baonan.The improved model of estimating global whitecap coverage based on satellite data[J].Acta Oceanologica Sinica,2016,35(5):66-72.
Authors:REN Danqin  HUA Feng  YANG Yongzeng and SUN Baonan
Institution:First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Abstract:The pro and con of whitecap parameterizations and a statistical wave breaking model are discussed. An improved model is derived by combining satellite-based parameterization and the wave breaking model. The appropriate constants for the general wave state are obtained by considering the breaking condition of the wave slope and fitting with the satellite-based parameterization. The result is close to the constants based on the whitecap data from Monahan. Comparing with satellite-based data and the original model''s results, the improved model''s results are consistent with satellite-based data and previous studies. The global seasonal distributions of the whitecap coverage averaged from 1998 to 2008 are presented. Spatial and seasonal features of the whitecap coverage are analyzed.
Keywords:whitecap coverage  statistical wave breaking model  satellite-based parameterization
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