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中国近海现场海洋观测系统设计评估
引用本文:王瑞文,叶冬.中国近海现场海洋观测系统设计评估[J].海洋通报,2012,31(2):121-130.
作者姓名:王瑞文  叶冬
作者单位:1. 中国气象局国家气象中心,北京,100081
2. 中国气象局公共气象服务中心,北京,100081
摘    要:中国科学院正在发展一个在中国近海(包括黄海、东海和南海)现场海洋观测系统。观测系统包括3个沿岸观测站点、4个近海离岸浮标和由观测船只按固定航线做的船舶观测断面。观测站点、浮标和断面的位置已经预先确定,这个计划在2008-2011实施。利用基于卡尔曼理论的样本集合方法对这样一个能够监测大尺度的季节和年季变率的观测系统设计进行了评估。根据卡尔曼滤波理论,用集合样本的方法能够给出经过同化这个观测系统位置的观测资料后能够减少多少分析误差和分析场的不确定性。用2个来自不同模式、不同分辨率的模式的结果作为集合样本来计算静态的背景误差协方差,这2套样本分别是来自分辨率是0.5°×0.5°的模式同化结果和高分辨0.125°×0.125°的模式结果。由这2个不同资料得到的结果是一致的。发现来自3个近岸和4个离岸浮标得到的观测能够有效地减少SST在渤海、黄海、东海和南海中部的分析误差。然而在越南东部和台湾东部海域,分析误差减少的百分比相对要小。最后,给出了中国近海最优的观测位置序列设计。

关 键 词:海洋观测系统  序列设计评估  集合方法
收稿时间:2010/9/18 0:00:00
修稿时间:2010/12/2 0:00:00

Assessment on the design of in-situ ocean observing system in Chinese marginal seas
WANG Rui-wen and YE Dong.Assessment on the design of in-situ ocean observing system in Chinese marginal seas[J].Marine Science Bulletin,2012,31(2):121-130.
Authors:WANG Rui-wen and YE Dong
Institution:National Meteorological Center of CMA, Beijing 100081, China;Public Weather Service Center of CMA, Beijing 100081, China
Abstract:Chinese Academy of Sciences is now developing a sustainable ocean observing system in the Chinese marginal seas (including the Yellow Sea, the East China Sea and the South China Sea). This observing system involves three coastal stations, four offshore buoys and the regular cruise sections that will be carried out by its research vessels. The locations of these buoys and cruises are now determined. Implementation of this observing system will be carried out in the following years (2008-2011). In this paper, the assessment on the design of this observing system in the context of monitoring large scale interseasonal and interannual variability is discussed using a Kalman theory based method. This approach examines the error reductions made by the assimilation of observations from the given buoy and cruise sections according to the Kalman filter theory. The background error covariance is calculated by the ensemble of results from models. Two sets of ensemble are used from which the stationary background error covariance matrices can be calculated. One is from an assimilation run of an ocean model with coarse resolution (0.5o by 0.5o). Another is from a model simulation with higher resolution (0.12o by 0.12o). The results from two datasets are similar. We find that the SST observations from three coastal stations and four offshore buoys can effectively reduce the SST analysis error in the Bohai Sea, the Yellow Sea, the East China Sea and the northern and middle parts of the South China Sea. However, in the regions to the east of Vietnam and east of Taiwan and Philippine, the percentages of error reductions are relatively small. At last, the optimal observing array design is worked out.
Keywords:ocean observation system  array design assessment  ensemble method
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