共查询到20条相似文献，搜索用时 31 毫秒
1.
In this study, ERS-1 altimeter data over the Indian offshore have been processed for deriving marine geoid and gravity. Processing
of altimeter data involves corrections for various atmospheric and oceanographic effects, stacking and averaging of repeat
passes, cross-over correction, removal of deeper earth and bathymetric effects, spectral analyses and conversion of geoid
into free-air gravity anomaly. Methods for generation of residual geoid and free-air gravity anomaly using high resolution
ERS-1 168 day repeat altimeter data were developed. High resolution detailed geoid maps, gravity anomaly and their spectral
components have been generated over the Indian offshore using ERS-I altimeter data and ARCGIS system. A number of known megastructures
over the study area have been successfully interpreted e.g. Bombay High, Saurastra platform, 90° east ridge etc. from these
maps. 相似文献
2.
Jianhua Wan Qinting Sun Shanwei Liu Yinlong Li 《Journal of the Indian Society of Remote Sensing》2018,46(12):1939-1947
The characteristics of sea-level change in the China Sea and its vicinity are studied by combining TOPEX/Poseidon (T/P), Jason-1, Jason-2, and Jason-3 altimeter data. First, the sea-surface height is computed by using monthly data via collinear adjustment, regional selection, and crossover adjustment. The sea-level anomaly (SLA) from October 1992 to July 2017 is calculated based on the difference that is obtained by the value derived from the inverse distance weighting method to interpolate the CNES_CLS15 model value at a normal point. By analyzing the satellite data at the same time in orbit, three mean bias groups over the China Sea and its vicinity are obtained: the difference between T/P and Jason-1 is ??11.76 cm, the difference between Jason-1 and Jason-2 is 9.6 cm, and the difference between Jason-2 and Jason-3 is 2.42 cm. To establish an SLA series for 25 years in the study area, the SLAs are corrected. Mean rate of sea-level rise of the Bohai Sea, Yellow Sea, East China Sea, and South China Sea of 4.87 mm/a, 2.68 mm/a, 2.88 mm/a, and 4.67 mm/a, respectively, is found by analyzing the series of SLAs. 相似文献
3.
Eva Boergens Sven Buhl Denise Dettmering Claudia Klüppelberg Florian Seitz 《Journal of Geodesy》2017,91(5):519-534
River water-level time series at fixed geographical locations, so-called virtual stations, have been computed from single altimeter crossings for many years. Their temporal resolution is limited by the repeat cycle of the individual altimetry missions. The combination of all altimetry measurements along a river enables computing a water-level time series with improved temporal and spatial resolutions. This study uses the geostatistical method of spatio-temporal ordinary kriging to link multi-mission altimetry data along the Mekong River. The required covariance models reflecting the water flow are estimated based on empirical covariance values between altimetry observations at various locations. In this study, two covariance models are developed and tested in the case of the Mekong River: a stationary and a non-stationary covariance model. The proposed approach predicts water-level time series at different locations along the Mekong River with a temporal resolution of 5 days. Validation is performed against in situ data from four gauging stations, yielding RMS differences between 0.82 and 1.29 m and squared correlation coefficients between 0.89 and 0.94. Both models produce comparable results when used for combining data from Envisat, Jason-1, and SARAL for the time period between 2002 and 2015. The quality of the predicted time series turns out to be robust against a possibly decreasing availability of altimetry mission data. This demonstrates that our method is able to close the data gap between the end of the Envisat and the launch of the SARAL mission with interpolated time series. 相似文献
4.
海洋重力场模型反演的质量主要依赖于采用测高数据的精度、空间分辨率和数据分布密集程度。本文联合Geosat GM/ERM、ERS-1 GM/ERM、TOPEX/Poseidon、Envisat、Cryosat-2、Jason-1 ERM/GM和SARAL/AltiKa等多种测高观测数据集,深入比较了多种波形重跟踪算法的效果,回波数据重跟踪处理后的沿轨海面高标准差。统计表明,Sandwell算法优于MLE-4算法、Davis阈值法、改进阈值法和β参数拟合法;基于不同测高数据波形重采样的结果给出了沿轨海面梯度计算中低通滤波的参数选择方法,并采用Sandwell提出的垂线偏差法,反演了全球海域1′×1′的重力场模型。检核表明,反演结果与DTU13和SIO V23.1模型检核的差值均方根分别为3.4、1.8 mGal,与NGDC船测数据的检核精度为4~8 mGal,且本文模型在部分典型海区内精度更优。 相似文献
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V. M. Chowdary A. Sai krishnaveni A. V. Suresh Babu R. K. Sharma V. V. Rao R. Nagaraja 《国际地球制图》2017,32(9):1034-1047
Reservoir water levels extracted from SARAL/AltiKa GDR data for the period 2013–2014 and water spread areas delineated from Resourcesat P6-AWiFS sensor and RISAT 1 microwave data corresponding to SARAL/AltiKa cycles were used for assessment of reservoir capacity in the Mayurakshi reservoir, Jharkhand state, India. It was found that the reservoir capacity based on the SARAL is around 474.62 Mm3 in comparison to in situ based estimate i.e. around 486.6 Mm3, indicating variation of <3%. Further, comparison of these estimates computed using SARAL and in situ with original reservoir capacity (547.59 Mm3) indicated loss of reservoir capacity is around 13.33 and 11.14%, respectively, within a span of 59 years. The hydrographic survey in the year 1999–2000 also proved that the storage capacity has reduced from 547.6 Mm3 in 1955 to 474.8 Mm3 indicating loss of nearly 13.3 % of total live capacity over period of 45 years. 相似文献
8.
Jean-François Crétaux Stephane Calmant Vladimir Romanovski Anton Shabunin Florent Lyard Muriel Bergé-Nguyen Anny Cazenave Fabrice Hernandez Felix Perosanz 《Journal of Geodesy》2009,83(8):723-735
Altimetry missions such as Topex/Poseidon, Jason-1, GFO and ENVISAT have been widely used in the continental domain over lakes,
rivers and wetland although they were mostly dedicated to oceanic studies. Knowledge of the instrumental biases is a key issue.
Numerous sites have been dedicated to calibration purposes, either in the oceanic domain (Harvest offshore platform in California,
Corsica, Bass Strait in Australia) or over lakes (Lake Erie in United States). A new site (Lake Issykkul in Kirghizstan) is
proposed for calibration in the continental domain. This lake is covered by past (T/P) and current radar altimetry satellites
(Jason-1, T/P, GFO, and ENVISAT). Several in situ water levels and local meteorological variables are available at the site.
Located in a mountainous area, it offers an opportunity for calibration far away from all other existing sites and very different
environment contexts. Two GPS campaigns have been conducted on the lake in 2004 and in 2005. They consisted of cruises with
stations installed onboard a boat following the satellite ground tracks, and onshore settings. This enabled estimating a bias
for each altimeter and each tracking algorithm available. Biases obtained for Envisat, GFO, T/P and Jason-1 using the default
ocean tracker (respectively, 48.1 ± 6.6, 7.5 ± 4.0, 0 ± 4.3 and 7.0 ± 5.5 cm) agree with biases published at the other calibration
sites. For Jason-1, there is a significant disagreement with results obtained in the ocean field (7 cm instead of 13 cm) but
is coherent with bias obtained on the Lake Erie site. Erroneous estimates of the sea state bias correction from non-oceanic-like
waveforms is discussed as a possible explanation. Errors in the ionospheric, wet and dry tropospheric corrections for the
continental domain are also highlighted and quantified. 相似文献
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Richard H. Rapp 《Journal of Geodesy》1980,54(2):149-163
A gravimetric geoid computed using different techniques has been compared to a geoid derived from Geos-3 altimeter data in
two 30°×30° areas: one in the Tonga Trench area and one in the Indian Ocean. The specific techniques used were the usual Stokes
integration (using 1°×1° mean anomalies) with the Molodenskii truncation procedure; a modified Stokes integration with a modified
truncation method; and computations using three sets of potential coefficients including one complete to degree 180. In the
Tonga Trench area the standard deviation of the difference between the modified Stokes’ procedure and the altimeter geoid
was ±1.1 m while in the Indian Ocean area the difference was ±0.6 m. Similar results were found from the 180×180 potential
coefficient field. However, the differences in using the usual Stokes integration procedure were about a factor of two greater
as was predicted from an error analysis.
We conclude that there is good agreement at the ±1 m level between the two types of geoids. In addition, systematic differences
are at the half-meter level. The modified Stokes procedure clearly is superior to the usual Stokes method although the 180×180
solution is of comparable accuracy with the computational effort six times less than the integration procedures. 相似文献
11.
The first Australian gravimetric quasigeoid model with location-specific uncertainty estimates 总被引：1，自引：1，他引：0
W. E. Featherstone J. C. McCubbine N. J. Brown S. J. Claessens M. S. Filmer J. F. Kirby 《Journal of Geodesy》2018,92(2):149-168
We describe the computation of the first Australian quasigeoid model to include error estimates as a function of location that have been propagated from uncertainties in the EGM2008 global model, land and altimeter-derived gravity anomalies and terrain corrections. The model has been extended to include Australia’s offshore territories and maritime boundaries using newer datasets comprising an additional \({\sim }\)280,000 land gravity observations, a newer altimeter-derived marine gravity anomaly grid, and terrain corrections at \(1^{\prime \prime }\times 1^{\prime \prime }\) resolution. The error propagation uses a remove–restore approach, where the EGM2008 quasigeoid and gravity anomaly error grids are augmented by errors propagated through a modified Stokes integral from the errors in the altimeter gravity anomalies, land gravity observations and terrain corrections. The gravimetric quasigeoid errors (one sigma) are 50–60 mm across most of the Australian landmass, increasing to \({\sim }100\) mm in regions of steep horizontal gravity gradients or the mountains, and are commensurate with external estimates. 相似文献
12.
Geological mapping of Jharia Coalfield,India using GRACE EGM2008 gravity data: a vertical derivative approach 总被引：2，自引：0，他引：2
Jitendra Vaish 《国际地球制图》2015,30(4):388-401
High-resolution satellite gravity data of gravity recovery and climate experiment (GRACE) generated by Earth Gravity Model-2008 (EGM2008) have been utilised for geological mapping of the Jharia coalfield. The generated GRACE EGM2008 classical gravity data have been processed for estimation of gravity anomaly map. The gravity anomaly map has been enhanced using the first and second Vertical Derivatives techniques. Geological and structural maps of the study area have been overlapped over different derivative maps to analyse the correlation with the subsurface geological structures of the study area. Major distinct geological signatures, on different derivative maps, are correlated well with the existing geological map. Moreover, vertical derivative maps of the gravity data generated from GRACE EGM2008 model provide better agreement and understanding for geological setting of the Jharia coalfield. 相似文献
13.
S.K. Pal T.J. Majumdar Vipin Kumar Pathak Satya Narayan Ujjawal Kumar Om Prakash Goswami 《国际地球制图》2016,31(7):783-802
High-resolution EIGEN6C4 and EGM2008 Bouguer gravity data of 2190 degree spherical harmonic over the Singhbhum-Orissa Craton, India, have been generated from the International Centre for Global Earth Models. The Bouguer gravity anomaly difference maps of (i) in situ and EIGEN6C4, (ii) in situ and EGM2008 and iii) EIGEN6C4 and EGM2008 of the study area are compared. It reveals that EIGEN6C4 has lesser systematic error than EGM2008. However, from different profile plots of Bouguer gravity, east–west horizontal derivative and north–south horizontal derivative anomalies of the in situ, EIGEN6C4 and EGM2008, it is observed that most of the signatures of lithounits and geological structural elements are delineated very well by EGM2008 and match 94–98% with those of EIGEN6C4. Further, the Bouguer gravity, east–west horizontal derivative and north–south horizontal derivative anomalies of EGM2008 data over the study area have been used effectively for identifying various lithounits and geological structural elements. 相似文献
14.
由卫星测高数据观测到的印度洋海啸波高 总被引：5，自引：1，他引：4
本文介绍了利用卫星测高资料测定的印度洋地震引起的海啸波高的研究成果 ,以及卫星测高数据在对海啸灾害进行预测的应用价值。通过卫星雷达测高可观测到沿卫星星下点轨迹的相距几公里的点上的海面高 ,还提供了特别有价值的对海啸波的连续观测结果 相似文献
15.
We show that the current levels of accuracy being achieved for the precise orbit determination (POD) of low-Earth orbiters demonstrate the need for the self-consistent treatment of tidal variations in the geocenter. Our study uses as an example the POD of the OSTM/Jason-2 satellite altimeter mission based upon Global Positioning System (GPS) tracking data. Current GPS-based POD solutions are demonstrating root-mean-square (RMS) radial orbit accuracy and precision of \({<}1\) cm and 1 mm, respectively. Meanwhile, we show that the RMS of three-dimensional tidal geocenter variations is \({<}6\) mm, but can be as large as 15 mm, with the largest component along the Earth’s spin axis. Our results demonstrate that GPS-based POD of Earth orbiters is best performed using GPS satellite orbit positions that are defined in a reference frame whose origin is at the center of mass of the entire Earth system, including the ocean tides. Errors in the GPS-based POD solutions for OSTM/Jason-2 of \({<}4\) mm (3D RMS) and \({<}2\) mm (radial RMS) are introduced when tidal geocenter variations are not treated consistently. Nevertheless, inconsistent treatment is measurable in the OSTM/Jason-2 POD solutions and manifests through degraded post-fit tracking data residuals, orbit precision, and relative orbit accuracy. For the latter metric, sea surface height crossover variance is higher by \(6~\hbox {mm}^{2}\) when tidal geocenter variations are treated inconsistently. 相似文献
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使用测高卫星Jason-2传感器地球物理数据记录（sensor geophysical data record,SGDR）的近海海面高观测数据,基于最大似然估计4参数法,对波形数据进行重跟踪。考虑到星下点沿轨方向前后相邻海面高观测值中高频改正信号具有相关性的特征,提出了确定海面高的最优高斯低通滤波半径选择的技术方法,即对星下点沿轨方向观测值进行差分计算,形成差分数据序列,根据序列的相关系数性来确定滤波半径。对于SGDR数据,若对其进行低通滤波,建议滤波半径选为2 km,既可抑制沿轨海面高数据的高频误差,又可保证该数据没有被过度平滑。研究成果可为充分利用卫星测高数据建立高精度近海海面高模型提供参考,进而促进高精度陆海无缝垂直基准的技术体系建设。 相似文献
18.
在传统卫星高度计定标途径之外,探索了远海孤岛验潮站和深海压力仪分别用于卫星高度计性能评估的可行性。采用Harvest石油平台验潮站、1890000号验潮站和21419号深海压力仪,计算了Jason-3测量海面高偏差以及Jason-2、Jason-3海面高之间的相对偏差。由3种设备得到的Jason-3海面高偏差序列的标准差分别为3.98、2.87、8.61 cm,Jason-2、Jason-3海面高之间的相对偏差(Jason-3—Jason-2)分别为-3.62±2.17、-2.58±1.97、-2.60±1.30 cm,与国外定标站计算结果相比较,结果表明:Jason-3海面高相比于Jason-2海面高低约3.0 cm;选用的深海压力仪适合用于Jason-2、Jason-3之间海面高相对偏差的计算,但不适用于单颗卫星的定标或性能评估;远海孤岛验潮站适用于两者。 相似文献
19.
基于多源卫星测高数据的新一代全球平均海面高模型 总被引：3，自引：1，他引：2
高精度高分辨率平均海面高模型是研究海洋动力环境变化的重要基础。本文基于多源多代卫星测高数据,包括Geosat/GM、Geosat/ERM、ERS-1/168、ERS-2、Envisat-1、T/P和Jason-1数据,采用统一精密的模型或方法对各项地球物理改正和传播介质误差进行了改进或重新计算,然后以T/P和Jason-1两种数据的共线平差作为参考基准,通过发展的全组合交叉点整体平差方法大幅度削弱了径向轨道误差和时变海面高影响,经比较后优选了最小二乘配置格网化方法,以EGM2008高阶重力场模型由移去－恢复方法得到了全球纬度80°S～82°N范围内海域2′×2′平均海平面高模型WHU2009。与国际上较常用的CLS01平均海平面高模型及实测2年平均Jason-1比较表明WHU2009模型整体精度优于CLS01模型。 相似文献
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