| Influence of Tide Models on the Use of Altimetry Data to Research Sea Level Anomaly |
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| 引用本文： | XU Jun BAO Jingyang LIU Yanchun YU Caixia. Influence of Tide Models on the Use of Altimetry Data to Research Sea Level Anomaly[J]. 地球空间信息科学学报, 2007, 10(2): 100-104. DOI: 10.1007/s11806-007-0048-6 |
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| 作者姓名： | XU Jun BAO Jingyang LIU Yanchun YU Caixia |
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| 作者单位： | XU Jun BAO Jingyang LIU Yanchun YU Caixia XU Jun，Department of Hydrography and Cartography，Dalian Naval Academy，667 Jiefang Road，Dalian 116018，China. |
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| 基金项目： | Supported by 0pen Research Fund Program of the Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, China （No.1469990324233-03-04）. |
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| 摘 要： | A tide model (named DN1.0), which contains 12 principal constituents over China seas and the Northwest Pacific is estimated by along-track harmonic analysis with TOPEX/Poseidon altimetry data taken from 1993 to 2002. CSR3.0, FES95.2 and DN1.0 are used respectively to detide the data for the time series of sea level anomaly (SLA) in the Yellow Sea, East China Sea, South China Sea and Northwest Pacific. The SLA curves and the power spectral density show that the major components that exist in SLA in China seas arise from the error of the tide models.
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| 关 键 词： | 海平面异常 卫星高度测量数据 利用 潮汐模型 |
| 文章编号： | 1009-5020（2007）02-100-05 |
| 收稿时间： | 2007-03-30 |
| 修稿时间： | 2007-03-30 |
Influence of tide models on the use of altimetry data to research sea level anomaly |
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| Xu,Jun,Bao,Jingyang,Liu,Yanchun,Yu,Caixia. Influence of tide models on the use of altimetry data to research sea level anomaly[J]. Geo-Spatial Information Science, 2007, 10(2): 100-104. DOI: 10.1007/s11806-007-0048-6 |
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| Authors: | Xu Jun Bao Jingyang Liu Yanchun Yu Caixia |
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| Affiliation: | (1) Department of Hydrography and Cartography, Dalian Naval Academy, 667 Jiefang Road, Dalian, 116018, China |
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| Abstract: | A tide model (named DN1.0), which contains 12 principal constituents over China seas and the Northwest Pacific is estimated by along-track harmonic analysis with TOPEX/Poseidon altimetry data taken from 1993 to 2002. CSR3.0, FES95.2 and DN1.0 are used respectively to detide the data for the time series of sea level anomaly (SLA) in the Yellow Sea, East China Sea, South China Sea and Northwest Pacific. The SLA curves and the power spectral density show that the major components that exist in SLA in China seas arise from the error of the tide models. |
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| Keywords: | satellite altimetry sea level anomaly tide model tidal aliasing |
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