近岸谱波模式的数值同化

Yang-Ming Fan, Kuo-Ching Jao, C. Kao, D. Doong, Li-Chung Wu
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引用次数: 1

摘要

本研究的目的是为了提高资料同化数值预报的精度。光谱数据同化技术将模型结果与实测数据相结合。利用实测数据及时修正模型结果,进而进行波浪预报。我们采用顺序数据同化来进行数据同化。在数据同化过程中,采用Voorrips等分割的最优插值方法,并对其进行了改进。分析数据来自数据浮标。期望建立光谱数据同化技术。为了验证谱资料同化模式的准确性,分析台湾水域的波浪特征,讨论了用谱资料同化台风数值波浪模式的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical assimilation in nearshore spectral wave model
The purpose of this study is to enhance the accuracy of numerical wave forecast with data assimilation. A technique — spectral data assimilation combine model results with measured data. Using measured data to correct model results immediately and then to do wave forecast. We adopt sequential data assimilation to do data assimilation. In the process of data assimilation, the optimal interpolation of partition from Voorrips, etc. is adopted and improved. And the analytic data is from data buoy. Expect to set up the technique of spectral data assimilation. And then discuss the result which using spectral data assimilation to typhoon numerical wave model in order to verify the accuracy of spectral data assimilation model and analyze the wave character Taiwan water.
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