| 卫星高度计资料在三维海温和盐度数值预报中的应用 |
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| 引用本文： | 李云,万莉颖,刘钦政.卫星高度计资料在三维海温和盐度数值预报中的应用[J].海洋学报,2011,33(6):64-72. |
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| 作者姓名： | 李云 万莉颖 刘钦政 |
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| 作者单位： | 1.国家海洋环境预报中心 国家海洋局海洋灾害预报技术研究重点实验室,北京100081;中国科学院 大气物理研究所,北京 100029 |
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| 基金项目： | 国家科技支撑计划(2006BAC03B00);总装装备预先研究项目(51322050202);国家自然科学基金青年基金(41006016)。 |
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| 摘 要： | 随着卫星遥感观测技术的发展,越来越多的卫星观测资料被应用于数值模式的同化研究中.基于国家海洋环境预报中心西北太平洋三维湿盐流预报系统,利用法国CLS中心的沿轨高度计资料的海表面高度异常的融合数据,结合基于三维变分的OVALS(ocean variational analysis system)同化系统,在垂向将海面高度...
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| 关 键 词： | 高度计资料 同化 海洋变分分析系统 数值预报 |
| 收稿时间： | 2010/1/11 0:00:00 |
| 修稿时间： | 2011/5/21 0:00:00 |
Application of satellite altimeter data in three-dimension sea temperature and salinity numerical prediction |
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| LI Yun,WAN Li-ying and LIU Qin-zheng.Application of satellite altimeter data in three-dimension sea temperature and salinity numerical prediction[J].Acta Oceanologica Sinica (in Chinese),2011,33(6):64-72. |
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| Authors: | LI Yun WAN Li-ying and LIU Qin-zheng |
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| Affiliation: | 1.Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China;Institude of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China2.Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing 100081, China |
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| Abstract: | With the development of remote sensing technology, satellite observation data have been used to study the numerical model assimilation technology. The 3-D northwest Pacific sea temperature, salinity and current forecast system developed by the National Marine Environment Forecasting Center is applied here to assimilating the sea surface height abnormal (SSHA) of the Collecte Localisation Satellites altimeter data with OVALS(ocean variational analysis system) which is based on 3-D-VAR scheme. The sea temperature and salinity profile data transformed from altimeter data are assimilated in the horizontal layer to find out the effect of the altimeter data on the numerical prediction. The results show that the forecasting accuracy by adding altimeter data assimilation is better than without assimilation, which verifies that the altimeter data assimilation for the improvement of the short-term numerical prediction is valid. |
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| Keywords: | altimeter data assimilation ocean variational analysis system numerical prediction |
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