基于黄海水温垂直剖面分层结构统计分析,建立了一个卫星遥感SST反演水温垂直剖面的参数化模式,以该模式反演数据作为一维数值预报模式的初值,同时用大气预报场资料作为预报模式的过程资料,发展了一个以卫星遥感资料作为主要输入量的黄海水温垂直剖面的数值预报模型.模型实现了利用卫星遥感资料反演预报黄海水温垂直剖面的目的,5 d时效的预报效果明显优于已往强温跃层数值预报模式.%Based on statistic analysis for the layers of the seawater temperature vertical profiles in the Yellow Sea, a parameterization model is established for the inversion of the temperature vertical profiles from the satellite remote sensing SST. Furthermore a one-dimensional mumerical model for predicting the temperature profiles in the Yellow Sea are developed, in which the satellite remote sensing data are used as the most input quantities, the initial values are from the above-mentioned inversion model, and the data from the atmospheric prediction are also used in the modeling process. Therefore the goals are achieved for predicting the temperature profiles in the Yellow Sea by means of the satellite remote sensing data. The modeling results for the 5 day forecast are obviously better than those from the traditional model.
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