运用神经网络方法对WRF数值模拟结果的初步释用-海洋预报

运用神经网络方法对WRF数值模拟结果的初步释用

单位：国家海洋环境预报中心, 北京100081

分类号：P731

出版年·卷·期（页码）：2011·28·第六期（17-23）

摘要：

针对WRF模式的数值模拟结果中的各种输出变量,运用BP神经网络方法,对大连站点的气温、风速等变量进行了初步的释用,与实况进行比较后发现,释用后的结果较模式直接输出结果有了很大的改进;同时,运用中低层云水混合比、气压、海平面高度层上的温度露点差等变量,对能见度进行了诊断释用,获得令人满意的结果。

The preliminary interpretation of simulation variables,such as temperature,wind speed and so on,from WRF model in Dalian station was carried out using the BP neural network method.The interpretation re-sults showed great improvement by comparing with the direct output of the model.The diagnostic analysis of vis-ibility was treated with the same approach according to some variables including cloud water mixing ratio in the lower and middle layers of the atmosphere,sea-level pressure,dew-point temperature,etc.The results were satis-factory too.It indicates that the method is useful to reduce the bias of the simulation.

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