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基于ROMS和4DVAR的沿轨与网格化SSH数据同化效果评价
引用本文:周超杰,丁效华,张杰,杨俊刚,马强.基于ROMS和4DVAR的沿轨与网格化SSH数据同化效果评价[J].海洋学报(英文版),2018,37(9):50-58.
作者姓名:周超杰  丁效华  张杰  杨俊刚  马强
作者单位:哈尔滨工业大学(威海)数学系, 威海, 264209;国家海洋局第一海洋研究所, 青岛, 266061,哈尔滨工业大学(威海)数学系, 威海, 264209,国家海洋局第一海洋研究所, 青岛, 266061,国家海洋局第一海洋研究所, 青岛, 266061,哈尔滨工业大学(威海)数学系, 威海, 264209
基金项目:The National Key Research and Development Program of China under contract No. 2016YFC1401800; the National Natural Science Foundation of China under contract Nos 41576176 and 11401140; the Key Project of Science and Technology of Harbin Institute of Technology at Weihai of China under contract No. 2014 DXGJ14.
摘    要:Remote sensing products are significant in the data assimilation of an ocean model. Considering the resolution and space coverage of different remote sensing data, two types of sea surface height(SSH) product are employed in the assimilation, including the gridded products from AVISO and the original along-track observations used in the generation. To explore their impact on the assimilation results, an experiment focus on the South China Sea(SCS) is conducted based on the Regional Ocean Modeling System(ROMS) and the four-dimensional variational data assimilation(4 DVAR) technology. The comparison with EN4 data set and Argo profile indicates that, the along-track SSH assimilation result presents to be more accurate than the gridded SSH assimilation, because some noises may have been introduced in the merging process. Moreover, the mesoscale eddy detection capability of the assimilation results is analyzed by a vector geometry–based algorithm. It is verified that, the assimilation of the gridded SSH shows superiority in describing the eddy's characteristics, since the complete structure of the ocean surface has been reconstructed by the original data merging.

关 键 词:ROMS  4DVAR  SSH同化  沿轨  网格化产品
收稿时间:2018/3/8 0:00:00

An evaluation of sea surface height assimilation using along-track and gridded products based on the Regional Ocean Modeling System (ROMS) and the four-dimensional variational data assimilation
ZHOU Chaojie,DING Xiaohu,ZHANG Jie,YANG Jungang and MA Qiang.An evaluation of sea surface height assimilation using along-track and gridded products based on the Regional Ocean Modeling System (ROMS) and the four-dimensional variational data assimilation[J].Acta Oceanologica Sinica,2018,37(9):50-58.
Authors:ZHOU Chaojie  DING Xiaohu  ZHANG Jie  YANG Jungang and MA Qiang
Institution:1.Department of Mathematics, Harbin Institute of Technology at Weihai, Weihai 264209, China;The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China2.Department of Mathematics, Harbin Institute of Technology at Weihai, Weihai 264209, China3.The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
Abstract:Remote sensing products are significant in the data assimilation of an ocean model. Considering the resolution and space coverage of different remote sensing data, two types of sea surface height (SSH) product are employed in the assimilation, including the gridded products from AVISO and the original along-track observations used in the generation. To explore their impact on the assimilation results, an experiment focus on the South China Sea (SCS) is conducted based on the Regional Ocean Modeling System (ROMS) and the four-dimensional variational data assimilation (4DVAR) technology. The comparison with EN4 data set and Argo profile indicates that, the along-track SSH assimilation result presents to be more accurate than the gridded SSH assimilation, because some noises may have been introduced in the merging process. Moreover, the mesoscale eddy detection capability of the assimilation results is analyzed by a vector geometry–based algorithm. It is verified that, the assimilation of the gridded SSH shows superiority in describing the eddy’s characteristics, since the complete structure of the ocean surface has been reconstructed by the original data merging.
Keywords:ROMS  4DVAR  sea surface height assimilation  along-track  gridded product
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