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黄海水温垂直剖面的遥感反演与数值预报模型
引用本文:修树孟,逄爱梅,申辉,张钦.黄海水温垂直剖面的遥感反演与数值预报模型[J].海洋科学进展,2009,27(4).
作者姓名:修树孟  逄爱梅  申辉  张钦
作者单位:1. 国家海洋局,第一海洋研究所,山东,青岛266061
2. 中国科学院,海洋研究所,山东,青岛,266071
摘    要: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.

关 键 词:水温垂直剖面  参数化模式  多时间尺度反演  卫星遥感SST  数值预报模型

Remote Sensing Inversion and Numerical Prediction Model for the Temperature Vertical Profile in the Yellow Sea
XIU Shu-meng,PANG Ai-mei,SHEN Hui,ZHANG Qin.Remote Sensing Inversion and Numerical Prediction Model for the Temperature Vertical Profile in the Yellow Sea[J].Advances in Marine Science,2009,27(4).
Authors:XIU Shu-meng  PANG Ai-mei  SHEN Hui  ZHANG Qin
Institution:XIU Shu-meng1,PANG Ai-mei1,SHEN Hui2,ZHANG Qin2(1.First Institute of Oceanography,SOA,Qingdao 266061,China,2.Institute of Oceanology,CAS,Qingdao 266071,China)
Abstract: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.
Keywords:temperature vertical profile  Parameterzation model  mulitiple time scale inversion  satellite remote sensing SST  numerical prediction model
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