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1.
GPS精密定位中的海潮位移改正 总被引：2，自引：0，他引：2
根据海洋负荷潮理论，利用NAO99b全球海潮模型，计算了中国部分IGS站的海潮位移改正，并将海潮位移改正应用到GPS数据处理当中。在GAMIT软件的解算过程中，分别按加入和不加入海潮位移改正，对GPS基线分量和测站坐标分别进行了计算和比较分析。结果表明，海潮位移改正无论是对GPS基线分量还是对测站坐标，都有一定的影响。 相似文献
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在高精度GPS数据处理中,海潮的影响是一个不可忽略的因素。利用GAMIT软件解算2011年东南极沿海地区中国中山站及其周边6个IGS站的GPS数据,对比分析了FES2004、DTU10、EOT11a、GOT4.7、HAMTIDE11a、OSU12以及TPXO7.2等7个全球海潮模型在不同测站的海潮负荷差异,比较了海潮负荷对于GPS基线解的影响。结果表明,海潮负荷对GPS基线解的影响与测站所处位置及基线方位有关,达到cm级,相对影响达到10-8,因此,在高精度的GPS基线解算中必须考虑海潮的影响;但选用不同海潮模型对东南极沿海地区GPS基线解算的差异可忽略不计。 相似文献
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南极国际GPS联测的海潮位移改正 总被引：1，自引：0，他引：1
根据海洋负荷潮理论,利用CRS4.0全球海潮模型,计算了参加南极国际GPS联测的中国南极长城站和中山站的海潮位移改正,并将海潮位移改正应用到GPS数据处理当中。在GAMIT软件的解算过程中,分别按加入和不加入海潮位移改正,对GPS基线分量进行了计算和比较分析。结果表明,对于南极国际GPS联测,海潮位移改正对GPS基线分量具有不可忽略的影响,数据处理时需要重点考虑。 相似文献
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针对在不同位置地区进行高精度卫星导航定位中会受海潮负荷大小的影响,该文通过GAMIT/GLOBK对山东省、湖南省区域的国家GNSS基准站数据进行了解算,并分别对基线解结果、测站定位结果进行了分析探讨。结果表明,海潮负荷对整体测站的定位均有不同程度的影响,在U方向影响较大,且海潮负荷对近海区域的测站定位影响为对内陆地区测站影响的3～4倍;且海潮负荷造成影响不仅与基线长度有关,而且与基线端点的所处位置有关,近海地区测站相对内陆地区测站所受海潮负荷影响更大。因此,在解算国家站数据时,应当加入海潮负荷改正,尤其单独解算沿海测站时。 相似文献
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针对影响山东地区GPS测量精度的重要因素之一——海潮负荷,不同海潮模型在山东沿海地区差异较大的问题,该文以山东CORS数据为例,基于FES2004、NAO99b、CSR4.0、GOT00.2 4种全球海潮模型,使用GAMIT软件,分析了海潮负荷对山东地区GPS定位及基线解算的影响。通过对比分析,海潮负荷对山东地区GPS定位的影响主要体现在U方向上,振幅达到厘米级;海潮负荷对山东沿海定位的影响大于山东内陆,U方向达到了2cm,为内陆地区2倍以上;海潮负荷对基线解算的影响与基线方位和基线两端测站负荷差异有关,其中差异较大的基线U方向的影响接近8mm;除GOT00.2海潮模型以外,不同模型对山东地区较长观测时段的GPS数据解算结果的影响并无太大差异,但对于短时观测或实时的GPS高精度定位,半日分潮迟角的精度还有待提高,因此有必要精细化山东区域海潮模型。 相似文献
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针对全球海潮模型在不同沿海地区存在差异性以及在中国近海精度不高的问题,利用全球海潮模型FES2004和NAO99b计算上海地区(经纬度范围为120.85°E～122.2°E,30.6667°N～31.8833°N)S2、M2、K1和O1四个分潮的海潮负荷位移在垂直分量上的差异;并利用中国近海模型osu.chinasea.2010对全球海潮模型FES2004中相应的区域进行替换,计算近海效应对SHJZ站(上海金山)、SHJBS站(上海宝山)、SHAO站(上海佘山)以及DCMD站(上海崇明)四个测站精密定位的影响。结果表明:1) 全球海潮模型FES2004和NAO99b在上海地区存在较明显的差异,尤其是垂直分量,最大接近4 mm,且两个模型的差异随离海洋距离增大而减小;2) 利用修正前后的全球海潮模型FES2004经过计算分析得出,近海效应对上海地区GPS测站精密定位的影响达到5 mm,对测站垂直分量的位移影响从大到小分别是DCMD站(5.1 mm)、SHBS站(4.9 mm)、SHJS(4.2 mm)、SHAO(3.6 mm)。 相似文献
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本文讨论海水质量守恒改正和等潮图的差异对计算负荷效应的影响,并研制海潮主要分波的球谐模型。数值计算结果表明:在按Schwiderski全球1°×1°等潮数据计算中国大陆的海潮负荷效应时,须用我国更精细的近海潮汐资料对其进行修正,同时还应该进行海水质量守恒改正。用褶积和级数相结合的方法计算倾斜海潮负荷潮的精度为0.04ms。 相似文献
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采用FARRELL的负荷理论以及最新的TPXO6海潮模型和中国近海潮汐资料计算了海潮负荷对佘山台倾斜固体潮的影响,采用BAYTAP-G调和分析软件对佘山台倾斜固体潮观测进行了处理,获得不同潮波的潮汐参数。在此基础上进行海潮负荷改正。负荷改正后,东西分量的振幅因子和相位滞后与理论值较为接近,而南北分量的半日波振幅因子与理论值仍有较大的偏离。结果说明,佘山台倾斜东西分量主要受海潮负荷的影响,超过60%,甚至达到96%(O1);而南北分量受到的非潮汐的影响要比东西分量受到的影响大,如N2波甚至高达70%,但是这也可能是和海潮模型在近海的不精确有关。 相似文献
12.
The accuracy of ocean tide loading (OTL) displacement values has long been assumed to be dominated by errors in the ocean
tide models used, with errors due to the convolution scheme used considered very small (2–5%). However, this paper shows that
much larger convolution errors can arise at sites within approximately 150 km of the coastline, depending on the method used
to refine the discrete regularly spaced grid cells of the ocean tide model to better fit the coastline closest to the site
of interest. If the local water mass redistribution approach is implemented, as used in the OLFG/OLMPP software recommended
in the IERS 2003 conventions, OTL height displacement errors of up to around 20% can arise, depending on the ocean tide model
used. Bilinear interpolation only, as used in the SPOTL and CARGA softwares for example, is shown from extensive global and
regional comparisons of OTL displacement values derived from the different methods and softwares to be more appropriate. This
is verified using GPS observations. The coastal refinement approach used in the OLFG/OLMPP software was therefore changed
in August 2007 to use bilinear interpolation only. It is shown that with this change, OTL displacement values computed using
OLFG/OLMPP, SPOTL and CARGA invariably agree to the millimetre level for coastal sites, and better than 0.2 mm for sites more
than about 150 km inland. 相似文献
13.
Validating ocean tide loading models using GPS 总被引：3，自引：0，他引：3
Ocean tides cause periodic deformations of the Earths surface, also referred to as ocean tide loading (OTL). Tide-induced displacements of the Earths crust relying on OTL models are usually taken into account in GPS (Global Positioning System) data analyses. On the other hand, it is also possible to validate OTL models using GPS analyses. The following simple approach is used to validate OTL models. Based on a particular model, instantaneous corrections of the site coordinates due to OTL are computed. Site-specific scale factors, f, for these corrections are estimated in a standard least-squares adjustment process of GPS observations together with other relevant parameters. A resulting value of f close to unity indicates a good agreement of the model with the actual site displacements. Such scale factors are computed for about 140 globally distributed IGS (International GPS Service) tracking sites. Three OTL models derived from the ocean tide models FES95.2.1, FES99, and GOT00.2 are analyzed. As expected, the most reliable factors are estimated for sites with a large loading effect. In general, the scaling factors have a value close to unity and no significant differences between the three ocean tide models could be observed. It is found that the validation approach is easy to apply. Without requiring much additional effort for a global and self-consistent GPS data analysis, it allows detection of general model misfits on the basis of a large number of globally distributed sites. For detailed validation studies on OTL models, the simultaneous estimation of amplitudes and phases for the main contributing partial tides within a GPS parameter adjustment process would provide more detailed answers. 相似文献
14.
潮汐改正对精密GPS基线解算的影响 总被引：2，自引：1，他引：1
介绍了三类潮汐模型改正,分析了中国及周边地区不同类型、大尺度GPS网,研究了极潮、大洋潮、固体潮模型改正对定位精度的影响,给出了模型的使用方法. 相似文献
15.
Crustal deformations caused by surface load due to ocean tides are strongly dependent on the surface load closest to the observation site. In order to correctly model this ocean loading effect near irregular coastal areas, a high-resolution coastline is required. A test is carried out using two GPS sites located in Alaska, where the ocean tide loading effect is large and consequently observed easily by relative positioning with GPS. The selected sites are Fair (Fairbanks) and Chi3 (located on an island that separates Prince William Sound from the Gulf of Alaska). Processing of hourly baseline solutions between Fair and Chi3 over a period of 49 days yields a significant ocean tide loading effect. The data are processed using different strategies for the tropospheric delay correction. However, the best results are obtained when 1-h ZTD (Zenith Tropospheric Delay) parameters for hourly solutions are used. In this case ocean tide loading is not absorbed into the ZTD parameters. Hence, ocean tide loading can be well resolved in the GPS data analysis. In addition, the M
2 ocean tide wave in the Gulf of Alaska has a very large amplitude. Although the horizontal M
2 ocean tide loading amplitude in general is only about 1/4 of the vertical M
2 ocean tide loading amplitude, the differential horizontal M
2 ocean tide loading displacements are nevertheless measurable using differential GPS (DGPS). When using the GOT99.2 ocean tide model and taking the coastal structure into account, the predicted differential vertical M
2 amplitude and Greenwich phase lag due to ocean tide loading are 19.3 mm and 110.2 degrees respectively, while GPS measurements yield 21.3 ± 1.0 mm and 99.7±2.8 degrees. Similarly, the predicted differential horizontal M
2 amplitude and Greenwich phase lag (in the north–south direction) are 4.5 mm and –77.0 degrees, while GPS yields 5.4 ± 0.3 mm and –106.3±3.3 degrees. Only the north-south component of the differential horizontal M
2 ocean tide loading wave is considered, because the east–west component is too small for the processed baseline and not detectable using DGPS. 相似文献
16.
受特殊海岸线及复杂海底地形的影响,目前发布的全球海潮模型在局部沿海地区差异较大,需利用其他大地测量手段直接测定沿海地区的海潮负荷位移参数。GPS技术因具有全天候、精度高、成本低等优势,已成为获取海潮负荷位移参数的有效手段。本文基于GPS技术监测测站三维位移变化的灵敏度高于监测48个海潮参数的灵敏度这一基本思想,改进了利用GPS精密单点定位(PPP)技术估计48个海潮调和参数的方法,直接逐历元求解三维海潮负荷位移变化,再利用调和分析方法提取主要潮波(M2、S2、N2、K2、K1、O1、P1、Q1)的海潮负荷位移建模参数(振幅与相位)。利用12个香港连续运行参考站(CORS)8年的GPS观测数据,计算各测站的海潮负荷位移建模参数。与传统方法比较,本文方法可有效加速K1潮波在东西方向的收敛。将GPS海潮负荷位移建模参数估值与中国近海海潮模型值比较,发现除S2、K2和K1潮波的均方根误差较大外,其他潮波的均方根误差均小于1.5mm。将香港2008—2014年验潮站数据反演的潮波参数与海潮模型值比较,结果表明:GPS与验潮站数据反演的潮波参数均与中国近海海潮模型及HAMTIDE2011.11A全球海潮模型符合较好,验证了GPS PPP反演海潮负荷位移的有效性。采用GPS PPP估计的8个潮波的振幅与相位值替换全球海潮模型中对应的潮波值,进行海潮负荷效应改正,可减弱GPS长时间序列中的半周年信号。 相似文献
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利用动态PPP对香港12个GPS测站2007—2012年的数据反演了海潮负荷位移,通过与7个全球海潮模型、1个区域模型和静态PPP反演的结果比较发现,相对于另外几个模型,动态PPP反演结果与TPXO.7.2、EOT11a、HAMTIDE和NAO99Jb模型的结果符合得更好。与静态PPP的结果比较发现其RMS与各模型的RMS大体上一致,只是在S2、K2和K1的E方向和M2、S2的N方向稍有增加。此外,除K2和K1潮波外,动态PPP与模型的RMS值在水平方向上均小于1 mm,在垂直方向上均小于2.5 mm,能达到和静态PPP相当的精度。本文反演的结果与NAO99Jb模型值存在明显的系统偏差,当去除系统偏差后,所有潮波的RMS值都有明显的减小,尤其在K1的垂直方向RMS从16.4 mm减少到1.3 mm。此外,通过将香港2012年验潮站数据反演的潮波参数与模型的结果进行比较发现,其结果同样与TPXO.7.2、EOT11a、HAMTIDE和NAO99Jb这4个模型更为符合,这进一步验证了动态PPP反演海潮的有效性,同时说明这4个模型比较适合香港区域。 相似文献
18.
In recent years, ocean tide loading displacements (OTLD) have been measured using the Global Positioning System (GPS) and
Very Long Baseline Interferometry (VLBI). This study assesses the accuracy of GPS measurements of OTLD by comparison with
VLBI measurements and estimates derived from numerical ocean tide models. A daily precise point positioning (PPP) analysis
was carried out on ∼11 years of GPS data for each of 25 sites that have previous OTLD estimates based on data from co-located
VLBI sites. Ambiguities were fixed to integer values where possible. The resulting daily estimates of OTLD, at eight principal
diurnal and semi-diurnal tidal frequencies, were combined to give GPS measurements of OTLD at each site. The 3D GPS and VLBI
measurements of OTLD were compared with estimates computed (by convolution with Green’s functions) from five modern ocean
tide models (CSR4.0, FES2004, GOT00.2, NAO99b and TPXO6.2). The GPS/model agreement is shown to be similar to the VLBI/model
agreement. In the important radial direction, the GPS/model misfit is shown to be smaller than the VLBI/model misfit for seven
of the eight tidal constituents; the exception being the K2 constituent. Fixing of GPS carrier-phase ambiguities to integer
values resulted in a marginal improvement to the GPS/model agreement. Statistically, it is shown there is no significance
to the difference between the fit of the GPS and VLBI measurements of OTLD to modelled values. Equally, differences in fit
of either the complete set of GPS or VLBI estimates to the five sets of model-derived values cannot be identified with statistical
significance. It is thus concluded that, overall, we cannot distinguish between GPS and VLBI measurements of OTLD, and that
at the global scale, present ocean tide models are accurate to within the current measurement noise of these techniques. 相似文献