海潮模型差异对GNSS坐标时间序列周期信号及噪声特性影响分析
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摘要
选取FES2004、EOT11a、TPXO7.2和Chinasea2010等4种海潮模型分别对23个CMONOC沿海测站进行海潮负荷位移改正,分析不同海潮模型对中国沿海区域测站坐标时间序列的影响。定量比较高频潮波参数模型间差异对周期信号的影响,结果表明,周日、半日潮波参数差异对海潮负荷位移改正后序列长周期信号、周年信号和半周年信号功率的影响最大可达4.3%、2.6%、2.0%和9.1%、0.7%、9.6%。基于Chinasea2010和TPXO7.2海潮模型的OTL改正使WN+FN+RWN测站噪声组合所占比例增至43%,而基于FES2004模型的OTL改正对测站速度不确定度的改善最大,39%的测站得到60%~98%的改善。
This paper investigates characteristic differences between GNSS coordinate time series induced by correction of different ocean tide models.Four ocean tide models(FES2004,EOT11 a,TPXO7.2 and Chinasea2010)are selected to apply ocean tide loading correction on 23 CMONOC stations in coastal areas of China.Results show that the discrepancies of diurnal tide wave parameters can lead power variations of long-period/annual/semi-annual signal up to 4.3%,2.6% and 2.0%respectively,which is 9.1%,0.7%and 9.6%for semi-diurnal tide wave parameters.The outcomes indicate that ocean tide loading correction by Chinasea2010 and TPXO7.2 introduces a percentage increase(up to 43%)of a particular noise model combination among stations,which is white noise plus flicker noise plus random walk noise.However,as for the uncertainty of station velocity,the correction by FES2004 remains the most significant with a reduction of uncertainty reaching 60~98% for 39% of the selected stations.
This paper investigates characteristic differences between GNSS coordinate time series induced by correction of different ocean tide models.Four ocean tide models(FES2004,EOT11 a,TPXO7.2 and Chinasea2010)are selected to apply ocean tide loading correction on 23 CMONOC stations in coastal areas of China.Results show that the discrepancies of diurnal tide wave parameters can lead power variations of long-period/annual/semi-annual signal up to 4.3%,2.6% and 2.0%respectively,which is 9.1%,0.7%and 9.6%for semi-diurnal tide wave parameters.The outcomes indicate that ocean tide loading correction by Chinasea2010 and TPXO7.2 introduces a percentage increase(up to 43%)of a particular noise model combination among stations,which is white noise plus flicker noise plus random walk noise.However,as for the uncertainty of station velocity,the correction by FES2004 remains the most significant with a reduction of uncertainty reaching 60~98% for 39% of the selected stations.
引文
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[2]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
[3]汪一航,方国洪,魏泽勋,等.基于卫星高度计的全球大洋潮汐模式的准确度评估[J].地球科学进展,2010,25(4):353-362(Wang Yihang,Fang Guohong,Wei Zexun,et al.Accuracy Assessment of Global Ocean Tide Models Base on Satellite Altimetry[J].Advances in Earth Science,2010,25(4):353-362
[4]张胜凯,雷锦韬,李斐.全球海潮模型研究进展[J].地球科学进展,2015,30(5):579-588(Zhang Shengkai,Lei Jintao,Li Fei.Advances in Global Ocean Tide Models[J].Advances in Earth Science,2015,30(5):579-588)
[5]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)
[6]Riva R E M,Frederikse T,King M A,et al.Brief Communication:The Global Signature of Post-1900 Land Ice Wastage on Vertical Land Motion[J].The Cryosphere,2017,11(3):1-8
[7]中国地震局地震研究所.CMONOC基准站数据处理说明[Z].武汉,2017(Institute of Seismology,CEA.CMONOC Fiducial Stations Datum Processing Instructions[Z].Wuhan,2017)
[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.EOT11a-Global Empirical Ocean Tide Model from Multi-Mission Satellite Altimetry[R].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]Agnew D C.SPOTL:Some Programs for Ocean-Tide Loading[R].San Diego,2012
[12]Scherneck H.Ocean Tide Loading Provider[EB/OL].http:∥holt.oso.chalmers.se/loading/,2017
[13]Mccarthy D D,Petit G.IERS Conventions 2010,Frankfurt am Main:Verlag des Bundesamts für Kartographie und Geodsie[R].IERS Technical Note,2010
[14]Agnew D C.Hardisp.f yet again[EB/OL].ftp:∥5.144.141.242/iers/convupdt/chapter7/add_info/report_hardisp.pdf,2017
[15]Petit G,Luzum B.IERS Conventions(2010)[R].Paris,2010
[16]Press W H,Teukolsky S A,Vetterling W T,et al.Numerical Recipes in Fortran 77:The Art of Scientific Computing[M].Cambridge:Cambridge University Press,1992
[17]Williams S D P.Error Analysis of Continuous GPS Position Time Series[J].Journal of Geophysical Research:Solid Earth,2004,109(B3)
[18]Bos M S,Fernandes R,Williams S,et al.Fast Error Analysis of Continuous GPS Observations[J].Journal of Geodesy,2008,82(3):157-166
[19]邓连生.GPS坐标时间序列中未模型化误差和环境负载的影响研究[D].武汉:武汉大学,2016(Deng Liansheng.Research on Effects of Unmodeled Errors and Environmental Loading on GPS Coordinate Time Series[D].Wuhan:Wuhan University,2016)
[20]Langbein J.Noise in GPS Displacement Measurements from Southern California and Southern Nevada[J].Journal of Geophysical Research:Atmospheres,2008,113(B5):620-628