| 南海北部海洋四维变分同化试验研究 |
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| 引用本文： | 修义瑞,林士伟,方长芳.南海北部海洋四维变分同化试验研究[J].海洋测绘,2018(1):55-58. |
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| 作者姓名： | 修义瑞 林士伟 方长芳 |
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| 作者单位： | 海军海洋水文气象中心; |
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| 摘 要： | 为了研究四维变分同化方法在南海北部海洋数值预报中的适用性,使用海洋区域模式(ROMS),建立了南海北部海洋资料四维变分同化系统,进行了温盐廓线和海面温度数据同化试验,初步对比分析了三种四维变分实现方法的同化效果。研究结果表明,四维变分同化方法具有较好的同化效果,其中,增量强约束方法(I4DVar)具有较好的稳定性,其稳定性高于4DPSAS和R4DVar。本文研究成果为建立南海业务化海洋四维变分同化及预报系统奠定技术基础。
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| 关 键 词： | 海洋数值预报 海洋数据同化 四维变分 ROMS海洋模式 南海北部 |
Ocean 4DVar Data Assimilation Research in the Northern South China Sea |
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| XIU Yirui,LIN Shiwei,FANG Changfang.Ocean 4DVar Data Assimilation Research in the Northern South China Sea[J].Hydrographic Surveying and Charting,2018(1):55-58. |
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| Authors: | XIU Yirui LIN Shiwei FANG Changfang |
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| Institution: | Navy Marine Hydrology and Meteorology Center,Beijing 100161 ,China |
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| Abstract: | In order to study the four-Dimensional Variational assimilation (4DVar) in northern South China Sea marine numerical forecast,ocean data assimilation system is build based on the Region Ocean Model System (ROMS).The observed sea surface temperature and temperature and salinity profiles are assimilated,using the 4DVar.The three 4DVar methods are tested and compared,which are I4DVar,4DPSAS and R4DVar.The 4DVar shows good performance,and the I4DVar method is more stable than 4DPSAS and R4DVar .The research result in this paper is foundation of the South China Sea ocean operational 4DVar assimilation and forecast system. |
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