首页 | 本学科首页   官方微博 | 高级检索  
     检索      

Numerical study of current fields near the Changjiang Estuary and impact of Quick-EnKF assimilation
作者姓名:CHEN Xueen  ZHAN Peng  CHEN Jinrui  QIAN Hongbao
作者单位:College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266100, China,College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266100, China,College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266100, China,Administrative Center for China''s Agenda 21, Beijing 100038, China
基金项目:The Hi-tech Research and Development Program of China (863 Program) under contract No.2007AA09Z117; the Public Science and Technology Research Funds Projects of Ocean under contract Nos 200905001 and 201005019
摘    要:A 30-d current numerical simulation is running for the Yangshan Port, the Changjiang Estuary, the Hangzhou Bay and their adjacent seas using a finite volume coastal ocean model (FVCOM), with Changjiang River runoff and wind effect being considered. At the open boundary, this model is driven by the water level obtained from prediction including eight main partial tides. After the harmonic analysis, the cotidal chart and the iso-amplitude line as well as the current ellipse distribution map are displayed to illustrate the propagation property of a tidal wave. Horizontal velocity of both the U and V components coincides with the actual measurement, which shows that the model result is credible to describe the hydrodynamic pattern in this sea area. On this basis, real-time current data from high-frequency radar is assimilated with the implementation of quick ensemble Kalman filter, which takes the variation tendency of the state vector to compute the analysis field, instead of integrating the field for N (the number of ensemble) times as it used to in the standard EnKF, aiming at raising the efficiency of computation, reducing the error of prediction and at the same time, improving the forecast effect.

关 键 词:数值研究  数据同化  长江口  Kalman滤波  流场  海洋模型  预测误差  海域使用
收稿时间:2011/1/23 0:00:00
修稿时间:2011/6/14 0:00:00

Numerical study of current fields near the Changjiang Estuary and impact of Quick-EnKF assimilation
CHEN Xueen,ZHAN Peng,CHEN Jinrui,QIAN Hongbao.Numerical study of current fields near the Changjiang Estuary and impact of Quick-EnKF assimilation[J].Acta Oceanologica Sinica,2011,30(5):33-44.
Authors:CHEN Xueen  ZHAN Peng  CHEN Jinrui and QIAN Hongbao
Institution:1.College of Physical and Environmental Oceanography, Ocean University of China, Qingdao 266100, China2.Administrative Center for China's Agenda 21, Beijing 100038, China
Abstract:A 30-d current numerical simulation is running for the Yangshan Port, the Changjiang Estuary, the Hangzhou Bay and their adjacent seas using a finite volume coastal ocean model (FVCOM), with Changjiang River runoff and wind effect being considered. At the open boundary, this model is driven by the water level obtained from prediction including eight main partial tides. After the harmonic analysis, the cotidal chart and the iso-amplitude line as well as the current ellipse distribution map are displayed to illustrate the propagation property of a tidal wave. Horizontal velocity of both the U and V components coincides with the actual measurement, which shows that the model result is credible to describe the hydrodynamic pattern in this sea area. On this basis, real-time current data from high-frequency radar is assimilated with the implementation of quick ensemble Kalman filter, which takes the variation tendency of the state vector to compute the analysis field, instead of integrating the field for N (the number of ensemble) times as it used to in the standard EnKF, aiming at raising the efficiency of computation, reducing the error of prediction and at the same time, improving the forecast effect.
Keywords:Yangshan Port  finite volume coastal ocean model  current  quick ensemble Kalman filter  assimilation
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
点击此处可从《海洋学报(英文版)》浏览原始摘要信息
点击此处可从《海洋学报(英文版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号