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地球科学进展  2007, Vol. 22 Issue (10): 989-996    DOI: 10.11867/j.issn.1001-8166.2007.10.0989
王 辉1,刘桂梅2,万莉颖3
1.中国气象科学研究院,北京 100081;2.中国科学院海洋研究所海洋生态与环境科学重点实验室,山东 青岛 266071; 3.国家海洋环境预报中心,北京 100081
Review on the Data Assimilation into Marine Ecosystem Model
WANG Hui1, LIU Gui-mei2, WAN Li-ying3
1.Chinese Academy of Meteorological Science, Beijing 100081,China; 2.Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology,Chinese Academy of Sciences, Qingdao 266071,China; 3.National Marine Environmental Forecasting Center, Beijing 100081,China
 全文: PDF(133 KB)  


关键词: 数据同化海洋生态模型    

Identification, understanding, and prediction of many interdisciplinary biological and oceanographic processes remain as elusive goals of ocean science. However, new ocean technologies are being effectively used to increase the variety and numbers of sampled variables and thus to fill in the gaps of the time-space continuum of interdisciplinary ocean observations. The formulation, accuracy, and efficacy of data assimilation are highly dependent upon the quantity of interdisciplinary observational data. This review aims to describe the work carried out to-data on the data assimilation into marine ecosystem model and the techniques developed for the assimilation of data into marine ecosystem model. Compared with the meteorological forecasting, the data assimilation into marine ecosystem model is in its infancy. In addition, the developments and applications of data assimilation into marine ecosystem model in China was summarized and the related problems were presented.

Key words: Data assimilation techniques    Marine Ecosystem Model.
收稿日期: 2007-09-03 出版日期: 2007-10-10
:  P73  


通讯作者: 王辉(1962-),男,安徽濉溪人,研究员,主要从事海洋动力学和海洋生态系统动力学过程研究和模型研究     E-mail:
作者简介: 王辉(1962-),男,安徽濉溪人,研究员,主要从事海洋动力学和海洋生态系统动力学过程研究和模型研究
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王辉,刘桂梅,万莉颖. 数据同化在海洋生态模型中的应用和研究进展[J]. 地球科学进展, 2007, 22(10): 989-996.

WANG Hui, LIU Gui-mei, WAN Li-ying. Review on the Data Assimilation into Marine Ecosystem Model. Advances in Earth Science, 2007, 22(10): 989-996.


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