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The global mean sea surface model WHU2013 被引量:4

The global mean sea surface model WHU2013
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摘要 The mean sea surface (MSS) model is an important reference for the study of charting datum and sea level change. A global MSS model named WHU2013, with 2′ × 2′ spatial resolution between 80° S and 84°N, is established in this paper by combining nearly 20 years of multi-satellite altimetric data that include Topex/Poseidon (T/P), Jason-1, Jason-2, ERS-2, ENVISAT and GFO Exact Repeat Mission (ERM) data, ERS-1/168, Jason-1/C geodetic mission data and Cryosat-2 low resolution mode (LRM) data. All the ERM data are adjusted by the collinear method to achieve the mean along-track sea surface height (SSH), and the combined dataset of T/P, Jason-1 and Jason-2 from 1993 to 2012 after collinear adjustment is used as the reference data. The sea level variations in the non-ERM data (geodetic mission data and LRM data) are mainly investigated, and a combined method is proposed to correct the sea level variations between 66°S and 66°N by along-track sea level variation time series and beyond 66°S or 66°N by seasonal sea level variations. In the crossover adjustment between multi-altimetric data, a stepwise method is used to solve the problem of inconsistency in the reference data between the high and low latitude regions. The proposed model is compared with the CNES-CLS2011 and DTU13 MSS models, and the standard derivation (STD) of the differences between the models is about S cm between 80°S and 84°N, less than 3 cm between 66°S and 66°N, and less than 4 cm in the China Sea and its adjacent sea. Furthermore, the three models exhibit a good agreement in the SSH differences and the along-track gradient of SSH following comparisons with satellite altimetry data. The mean sea surface (MSS) model is an important reference for the study of charting datum and sea level change. A global MSS model named WHU2013, with 2′ × 2′ spatial resolution between 80° S and 84°N, is established in this paper by combining nearly 20 years of multi-satellite altimetric data that include Topex/Poseidon (T/P), Jason-1, Jason-2, ERS-2, ENVISAT and GFO Exact Repeat Mission (ERM) data, ERS-1/168, Jason-1/C geodetic mission data and Cryosat-2 low resolution mode (LRM) data. All the ERM data are adjusted by the collinear method to achieve the mean along-track sea surface height (SSH), and the combined dataset of T/P, Jason-1 and Jason-2 from 1993 to 2012 after collinear adjustment is used as the reference data. The sea level variations in the non-ERM data (geodetic mission data and LRM data) are mainly investigated, and a combined method is proposed to correct the sea level variations between 66°S and 66°N by along-track sea level variation time series and beyond 66°S or 66°N by seasonal sea level variations. In the crossover adjustment between multi-altimetric data, a stepwise method is used to solve the problem of inconsistency in the reference data between the high and low latitude regions. The proposed model is compared with the CNES-CLS2011 and DTU13 MSS models, and the standard derivation (STD) of the differences between the models is about S cm between 80°S and 84°N, less than 3 cm between 66°S and 66°N, and less than 4 cm in the China Sea and its adjacent sea. Furthermore, the three models exhibit a good agreement in the SSH differences and the along-track gradient of SSH following comparisons with satellite altimetry data.
出处 《Geodesy and Geodynamics》 2016年第3期202-209,共8页 大地测量与地球动力学(英文版)
基金 supported by National 973 Project China (2012CB957703, 2013CB733302) National 863 Project China (2013AA122502) Public Science and Technology Research Funds projects of Surveying, Mapping and Geo-information (201512001) National Natural Science Foundation of China (41210006, 41304003)
关键词 Satellite altimetry Mean sea surface height Sea level variation Collinear adjustment Crossover adjustment Satellite altimetry Mean sea surface height Sea level variation Collinear adjustment Crossover adjustment
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  • 1J. Li. A formula for computing the gravity disturbance from the second radial derivative of the disturbing potential[J] 2002,Journal of Geodesy(4):226~231

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