| ZHOU Chaojie,DING Xiaohua,ZHANG Jie,YANG Jungang,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 |
| 基于ROMS和4DVAR的沿轨与网格化SSH数据同化效果评价 |
| 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 |
| 投稿时间：2018-03-08 |
| DOI：10.1007/s13131-018-1225-1 |
| 中文关键词: ROMS 4DVAR SSH同化 沿轨 网格化产品 |
| 英文关键词:ROMS 4DVAR sea surface height assimilation along-track gridded product |
| 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. |
| 作者 | 单位 | E-mail | | 周超杰 | 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 | | | 丁效华 | 哈尔滨工业大学(威海)数学系, 威海, 264209 | | | 张杰 | 国家海洋局第一海洋研究所, 青岛, 266061 | | | 杨俊刚 | 国家海洋局第一海洋研究所, 青岛, 266061 | yangjg@fio.org.cn | | 马强 | 哈尔滨工业大学(威海)数学系, 威海, 264209 | |
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| 中文摘要: |
| 遥感数据产品在海洋数值同化中有着非常重要的作用。考虑到不同遥感资料在分辨率和空间覆盖度上具有差别，本文分别采用AVISO网格化SSH（Sea Surface Height）数据产品和对应的原始沿轨观测进行同化研究。为了研究两种SSH资料对同化结果的影响，基于ROMS（Regional Ocean Modeling System）和4DVAR（4-Dimensional Variational）在南海进行了同化试验。与EN4资料和Argo剖面的对比表明，沿轨SSH资料同化在取得了更好的精度，这是由于网格化产品在融合过程引入了误差。此外，本文分析了不同SSH的同化结果对中尺度涡的刻画能力。结果表明，网格化SSH数据产品由于重构了海面信息的完整结构，同化进模式能更准确地捕捉中尺度涡的特征。 |
| 英文摘要: |
| 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 (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. |
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