DocumentCode :
2442524
Title :
Data assimilation of tides in the Bohai Sea using the adjoint method
Author :
Gao, Xiumin ; Wei, Zexun ; Wang, Yonggang ; Zhou, Xinghua ; Fang, Guohong
Author_Institution :
Lab. of Phys. Oceanogr., Ocean Univ. of China, Qingdao, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1081
Lastpage :
1084
Abstract :
The two-dimensional data assimilation model of the tides in the Bohai Sea was established using the a joint method to study the tides of the Bohai Sea. The adjoint equations were derived from the two-dimensional tidal equations by Lagrange multiplier method. The observation data were from the tidal gauge stations and the satellite altimetry data. To evaluate the role of the altimetry data and the tidal gauge data in the data assimilation of the tides in the Bohai Sea, three numerical experiments were carried out. Experiment 1 only assimilates the tidal gauge data, Experiment 2 only assimilates the altimetry data, and Experiment 3 assimilates the combined data of the tidal gauge stations and the satellite altimetry. The tidal constituents M2, S2, K1 and O1 of the Bohai Sea were simulated. The results show that it is better when assimilating the tidal gauge data and the altimetry data simultaneously than assimilating any one separately. The mean absolute differences of the amplitude and phase-lag are 1.52 cm and 2.22° for M2, 1.26 cm and 3.30° for S2, 1.19 cm and 2.72° for K1, 0.55 cm and 1.93° for O1, respectively. The results reflect the tidal system of the Bohai Sea well, especially for the outer sea area since the altimetry data were assimilated.
Keywords :
data assimilation; height measurement; oceanographic regions; oceanographic techniques; tides; 2D data assimilation; Bohai Sea; Lagrange multiplier method; adjoint method; altimetry data; satellite altimetry; tides; Altimetry; Data assimilation; Equations; Mathematical model; Numerical models; Solid modeling; Tides; Bohai Sea; adjoint method; altimetry data; tides;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964467
Filename :
5964467
Link To Document :
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