机构地区:[1]淮海工学院测绘工程学院,连云港222001 [2]海岛(礁)测绘技术国家测绘局重点实验室,青岛266510 [3]山东科技大学测绘科学与工程学院,青岛266510
出 处:《地球物理学进展》2013年第5期2787-2795,共9页Progress in Geophysics
基 金:国家自然科学基金(40974004、40974016);国家863计划(2009AA121405);江苏省重点学科支持计划;江苏省海洋资源开发研究院科技开放基金(JSIMR11B07);山东科技大学科研创新团队支持计划;淮海工学院自然科学研究项目(Z2011003)
摘 要:卫星测高资料可以提供全球海洋的海面地形、海面波浪及海面粗糙度的信息,探测洋流的边界和趋势,分析极区冰层厚度及变化,因此,深入研究卫星测高技术对于人类更好地认识地球和海洋都具有重要意义.而在近海,由于卫星测高数据受到多种因素的影响,数据质量较差.其中,海洋潮汐模型在近海海域的精度是影响卫星测高数据质量的一个主要因素.本文通过利用卫星测高数据常用的两种潮汐模型(CSR4.0和NAO.99b)和验潮站资料得到的海面高误差以及四个主要分潮的振幅、迟角误差,对两种潮汐模型在中国海域的精度进行了详细地分析.用CSR4.0潮汐模型和NAO.99b潮汐模型的海面高与中国近海11个验潮站的水位数据进行了比较,在中国大陆近海,CSR4.0模型的平均精度比NAO.99b模型好,其RMS分别为0.6493m和0.8967m.两种模型在中国台湾两个验潮站的精度都比较高,其RMS的平均值分别为0.3673m和0.3043m.与验潮站数据比较得到的振幅误差、迟角误差、潮高均方根误差以及相对误差中,NAO.99b模型的振幅误差均比CSR4.0潮汐模型的振幅误差小,其中O1分潮的振幅误差最小,仅为1.78cm,最大为M2分潮误差,为3.58cm.在潮高误差中,NAO.99b模型的潮高误差也均比CSR4.0潮汐模型要小.其中,最小潮高误差为O1分潮的潮高误差,仅为1.66cm,最大为M2分潮潮高误差,为4.35cm.对于相对误差,NAO.99b模型的相对误差也均比CSR4.0潮汐模型要小.两种潮汐模型相对误差最大的是S2分潮,其相对误差分别为0.16和0.48.通过以上分析,本文建议当利用卫星测高数据进行海平面变化的研究时,在中国海域适宜采用CSR4.0模型进行海潮改正.当利用潮汐模型进行海洋潮汐分布特征的研究时,在中国海域适宜采用NAO.99b模型.The satellite altimeter data can be used to provide for us the global sea surface topography, the wave on sea surface, sea surface roughness, to detect the boundary and trend of ocean current, and to analyze the thicknessof ice band on polar regions. So it is very miportant for people to know well earth and ocean since satellite altimetry is studied in a deepgoing way. However, due to the altimeter data is disturbed by some factors in the offshore, the precision of altimetry is lower. Thereinto, the precision of ocean tide model is one of major factors which inftunce the quality of altimeter data. The two familiar ocean tide models including CSR4. 0, NAO. 99b and tide gauge station data are used to analyzed detailedly the error of sea surface height, amplitude and phase angle in four partial tides in the paper. Sea surface height derived from CSR4. 0, NAO. 99b and 11 tidal gauge stations are used to assess the accuracy of tide models. It is showed that CSR4. 0 has higher accuracy of sea surface height than NAO. 99b over China seas, RMS are 0. 6493 m and 0. 8967 m respectly. Over Chinese Taiwan seas, accuracy of NAO. 99b are better than CSR4. 0 and RMS are 0. 3673 m and 0. 3043 m respectly. The error of amplitude, phase lags, root-mean- square of tidal height, and relative error are derived from comparision between tidal gauge station data and tide models. The result show that the error of amplitude of O1 partial tide is the least, only 1.78 cm, while M2 partial tide is the most, up to 3.58 cm. The accuracy of NAO. 99b is better than CSR4. 0 for error of tidal height, the least error lies in O1 partial tide, is only 1.66 cm but the most error, M2 partial tide up to 4. 35 cm. For relative error, The accuracy of NAO. 99b is also better than CSR4. 0, the most difference of error lie in S2 partial tide, the error is 0. 16 and 0. 48 respectively. When the altimeter data is used to study the variations of sea level, it is adapt to make use of CSR4.0 tide model to have a tidal correct for altimeter data in China seas, ho
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