许军, 暴景阳, 晁定波. 逆气压改正对卫星测高数据反演潮汐参数的影响[J]. 武汉大学学报 ( 信息科学版), 2006, 31(7): 599-602.
引用本文: 许军, 暴景阳, 晁定波. 逆气压改正对卫星测高数据反演潮汐参数的影响[J]. 武汉大学学报 ( 信息科学版), 2006, 31(7): 599-602.
XU Jun, BAO Jingyang, CHAO Dingbo. Effects of Inverse Barometer!Correction on Tidal Parameters Derived from Altimetry Data[J]. Geomatics and Information Science of Wuhan University, 2006, 31(7): 599-602.
Citation: XU Jun, BAO Jingyang, CHAO Dingbo. Effects of Inverse Barometer!Correction on Tidal Parameters Derived from Altimetry Data[J]. Geomatics and Information Science of Wuhan University, 2006, 31(7): 599-602.

逆气压改正对卫星测高数据反演潮汐参数的影响

Effects of Inverse Barometer!Correction on Tidal Parameters Derived from Altimetry Data

  • 摘要: 定量分析了逆气压改正对各主分潮潮汐参数反演的影响。结果表明,逆气压改正对Sa的反演结果影响最大,在Sa的实际振幅中,气压变化的平均贡献比率为42%,气压变化使Sa的迟角减小了约27°,而对其他主分潮的影响可忽略不计。建议在应用卫星测高数据时,不加逆气压改正,但在数据处理时,需加Sa分潮的改正。

     

    Abstract: The contribution of the IB correction to the annual constituent S_(a) and other principal tides is evaluated.When the IB correction is applied with the MGDR or calculated with an average pressure for each cycle,the discrepancy both are large,and the difference between them is small. But if IB correction is not added to the altimeter ranges,the discrepancy is almost reduced.Through comparing the difference of harmonic constant of S_(a),the average contribution of seasonal air pressure variation in amplitude of S_(a) is(about) 42%,and the seasonal air pressure variation causes the phase lag of S_(a) decreasing 27°.So IB correction should not be added to the altimeter range,and the tide model of S_(a) is essential to the annual variation to be removed.Therefore an S_(a) model covering China sea is established.

     

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