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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 the statistical analysis of the vertical distribution of the Yellow Sea water temperature in the vertical section, a parameterized model of vertical SST inversion by satellite remote sensing is established. The inversion data of the model is used as the initial value of the one-dimensional numerical prediction model. At the same time, Forecast model of the process of data, the development of a satellite remote sensing data as the main input of the vertical section of the Yellow Sea water temperature numerical prediction model. The model realizes the objective of using the satellite remote sensing data to inversely predict the vertical section of the Yellow Sea water temperature. The forecast effect of the 5-day aging is obviously better than the numerical prediction of the past strong thermocline.