摘要
选取FES2004、EOT11a、TPXO7.2和Chinasea2010等4个海潮模型,首先通过矢量差评价不同海潮模型的潮波参数差异,然后利用中国大陆构造环境监测网络23个沿海测站的GNSS连续观测数据,通过计算不同海潮模型改正前后GNSS时间序列的wRM_S,评价基于不同海潮模型的海潮负荷位移改正的有效性。结果表明,不同海潮模型的潮波参数存在mm级差异,且沿海区域差异远比内陆区域显著。此外,海潮负荷改正对中国沿海区域测站坐标时间序列wRM_S影响较大,大部分测站坐标时间序列进行海潮负荷改正后,wRM_S减小10%~70%;改正后wRM_S改善幅度与测站所属区域有关,东海沿岸测站wRM_S的改善较渤海、黄海和东海沿岸测站更显著,可减小50%以上;wRM_S改善程度的模型间差异为1%~2%,其中基于FES2004模型的改正对序列wRM_S的影响最大,可达67.5%。
This paper investigates effects of different tide models on ocean tide loading displacements in coastal areas of China.We use GNSS continuous observation data from 23 coastal CMONOC stations and four ocean tide models--FES2004,EOT11 a,TPXO7.2 and Chinasea2010.Firstly,tide wave parameters of the four ocean tide models are calculated,showing that discrepancies of tide wave parameters among different tide models can reach the centimeter-level in the up direction.Then we apply ocean tide loading corrections to the coordinate time series of 23 stations using tide wave parameters of these ocean tide models respectively.Results indicate that ocean tide loading correction has a great impact on wRM_S of the coordinate time series.For most stations,wRM_S is reduced by 10%~70%after correction.Compared with stations in other investigated coastal areas,the reduction of wRM_S in the east China sea coastal area,which can be more than 50%,is most significant.Among four ocean tide models,the correction based on FES2004 is more remarkable,with wRM_S reduction reaching 67.5%.
引文
[1]Bos M S,Baker T F.An Estimate of the Errors in Gravity Ocean Tide Loading Computations[J].Journal of Geodesy,2005,79(1):50-63
[2]Penna N T,King M A,Stewart M P.GPS Height Time Series:Short-Period Origins of Spurious Long-Period Signals[J].Journal of Geophysical Research,2007,112(B2):1 074-1 086
[3]Penna N T,Bos M S,Baker T F,et al.Assessing the Accuracy of Predicted Ocean Tide Loading Displacement Values[J].Journal of Geodesy,2008,82(12):893-907
[4]陈宪冬.GPS精密定位中的海潮负荷改正[J].西南交通大学学报,2006,41(4):429-432(Chen Xiandong.Ocean Tide Loading Corrections in GPS Precise Positioning[J].Journal of Southwest Jiaotong University,2006,41(4):429-432)
[5]Baker T F,Bos M S.Validating Earth and Ocean Tide Models Using Tidal Gravity Measurements[J].Geophysical Journal International,2003,152(2):468-485
[6]由晓文.中国沿海地区海潮负荷位移建模[D].成都:西南交通大学,2016(You Xiaowen.The Modeling of Ocean Tide Loading Displacements in the Coastal Area of China[D].Chengdu:Southwest Jiaotong University,2016)
[7]Stammer D,Ray R D,Andersen O B,et al.Accuracy Assessment of Global Barotropic Ocean Tide Models[J].Reviews of Geophysics,2014,52(3):243-282
[8]Lyard F,Lefevre F,Letellier T,et al.Modelling the Global Ocean Tides:Modern Insights from FES2004[J].Ocean Dynamics,2006,56(5):394-415
[9]Savcenko R,Bosch W,Dettmering D,et al.EOT11aGlobal Empirical Ocean Tide Model from Multi-Mission Satellite Altimetry,with Links to Model Results[R].Deutsches Geodatisches Forschungsinstitut,München,2012
[10]Egbert G D,Erofeeva S Y.Efficient Inverse Modeling of Barotropic Ocean Tides[J].Journal of Atmospheric&Oceanic Technology,2002,19(2):183-204
[11]赵大江,郭春喜,张世娟,等.中国沿海不同海潮模型的倾斜负荷分析[J].大地测量与地球动力学,2015,35(1):34-39(Zhao Dajiang,Guo Chunxi,Zhang Shijuan,et al.Analysis of Tilt Loading with Different Ocean Tide Models in Coastal Area of China[J].Journal of Geodesy and Geodynamics,2015,35(1):34-39)
[12]Petit G,Luzum B.IERS Conventions(2010)[R].Bureau International Des Poids et Measures Severs,Pairs,2010
[13]Agnew D C.SPOTL:Some Programs for Ocean-Tide Loading[R].Scripps Institution of Oceanography,San Diego,2012
[14]Scherneck H.Ocean Tide Loading Provider[EB/OL].http://holt.oso.chalmers.se/loading/,2017
[15]Jiang W P,Li Z,Dam T V,et al.Comparative Analysis of Different Environmental Loading Methods and Their Impacts on the GPS Height Time Series[J].Journal of Geodesy,2013,87(7):687-703