中国海域大地水准面和重力异常的确定

从莫洛金斯基(Molodensky)等1960年给出的由垂线偏差计算大地水准面空域积分公式出发,导出了其相应谱域1维严密卷积和2维球面及平面卷积公式。由Topex/Poseidon,ERS 1/2及Geosat/GM,ERM测高资料求解的垂线偏差计算了我国海域及其邻区大地水准面,其中计算格网为2.5′×2.5′。为了检核,将测高垂线偏差由逆维宁 迈尼兹(Vening Meinesz)公式反演重力异常,与海上船测重力值进行了外部检核;同时还利用司托克斯(Stokes)公式,由上述反演的重力异常计算大地水准面高,与莫洛金斯基公式直接解得的相应结果进行比较作为内部检核。前者的中误差为±9mGal(1Gal=1cm/s2),后者为±0.025m。本文在积分计算中充分应用了2维平面坐标形式和1维卷积严格公式,并做了比较和自校核。     

卫星测高数据的沿轨迹重力异常反演法及其应用

本文给出了一套基于直角坐标系下的垂线偏差求解重力异常公式 ,并将之发展成为一套新的沿轨迹重力异常求解公式。与其他方法相比 ,本方法无须求解交叠点处沿轨迹和跨轨迹方向的海面高斜率 ,仅需计算沿轨迹方向的海面高斜率 ,因而更为简洁、有效 ,而且分辨率可以更高并可与真正的沿航迹实际船测重力相比较、验证。据此 ,利用 Geosat/GM、ERS-1 /35天及TOPEX/Poseidon三种测高数据 ,反演了南中国海域 (0°～ 2 5°N,1 0 5°～ 1 2 2°E)的 2′× 2′重力异常—— IGG-S。通过与实际船测资料和国际同行提供的重力模型相比 ,IGG-S总体精度达到1 0× 1 0 - 5ms- 2。     

联合TOPEX/Poseidon,ERS2和Geosat卫星测高资料确定中国近海重力异常

处理了 TOPEX/Poseidon(第 9周期至第 2 4 9周期 ) ,ERS2 (第 0周期至第 44周期 )和Geosat/GM(第 1周期至第 2 5周期 )以及 Geosat ERM(第 1周期至第 66周期 )卫星测高资料 ,求解了各自卫星任务的交叉点和垂线偏差 ,利用逆 Vening- Meinesz公式确定了 2 .5′×2 .5′中国近海海洋重力异常 ,并与我国南海船测重力异常作了比较 ,其精度为± 9.3m Gal( 1 Gal=1 cm/s2 )。本文同时导出了严密的 2维平面卷积公式 ,它与 1维严密卷积公式计算结果差值的标准差为± 0 .1 m Gal,而 2维球面公式为± 0 .5 m Gal     

基于Laplace方程的垂线偏差法反演全球海域重力异常

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。     

联合多代卫星测高数据建立高分辨率浙江近海垂线偏差模型

联合多代卫星测高数据,研究共线平均理论,在时域上削弱测高数据短波误差影响。基于EGM2008重力场模型及DTU10海面地形模型,采用沿轨迹加权最小二乘方法,确定浙江近海2.5′×2.5′分辨率格网点垂线偏差子午分量ξ和卯酉分量η,将所得计算结果与EGM96、EGM2008、ITG-Grace2010s模型值进行比较。结果表明:浙江近海垂线偏差模型与EGM2008模型的精度较为相近,在子午圈及卯酉圈上的RMS分别为±0.15320″、±0.63061″。     

用T/P测高数据反演海域重力异常

以反解 Stokes公式为数学模型 ,应用由 T/ P测高数据计算的大地水准面高反演了海域平均重力异常 ,并与船测平均重力异常和 OSU91A位模型计算的平均重力异常进行了比对分析 ,得出了一些有益的结论。     

西太平洋海域卫星测高重力垂直梯度分布

从地球重力场基本理论出发,推导了重力垂直梯度计算的数值积分公式,并利用由多颗测高卫星联合反演的2'×2'海洋重力异常资料,解算了西太平洋海域重力垂直梯度.将计算所得的重力异常垂直梯度与现有资料进行比较,其差值均方根为±10.08E,表明两者精度相当.此外,还对差值大小和空间分布进行了深入分析.     

利用卫星测高数据反演海洋重力异常研究

全面研究了利用卫得测高数据反演海洋重力异常3种主要方法（即Stokes数据解析反解以及逆Vening-Meinesz公式）的技术特点，建立了3种算法的数学模型及其谱计算式，在以1440阶次位模型定义的标准场中完成了3种算法的数值比较和内部检核，通过仿真试验实现了3种算法的可靠性和稳定性检验，最后，本文利用卫得测高实测对南中国海地区的海洋重力异常进行了实际反演，并将反演结果同船测数据进行了比较。     

多代卫星测高数据联合平差及重力场反演

为了解决多代卫星测高数据之间的不协调问题,基于误差验后补偿理论,提出了将传统的交叉点平差整体解法简化为两步处理法,即首先使用条件平差法对交叉点观测方程进行平差计算,然后沿测高轨迹进行海面高滤波和推估。使用新方法可大大简化联合平差的计算过程,且有利于提高计算结果的稳定性和可靠性,对规则和不规则的区域网和全球网交叉点平差问题都同样适用。实际算例证明了新方法的有效性。     

南海海盆测高重力异常特征及构造解释

利用由多代卫星测高资料反演得到的2.5'×2.5'空间重力异常数据,解释了南海地块边界及内部结构的重力异常特征,表明高分辨率的重力异常资料有助于研究海洋岩石圈的细结构和资源评估勘探。     

根据多卫星高度计海面高数据推算南中国海及菲律宾海域重力异常

t Gravity anomalies on a2.5 ×2.5 arc-minute grid in a non-tidal system were derived over the South China and Philippine Seas from multi-satellite altimetry data. North and east components of deflections of the vertical were computed from altimeter-derived sea surface heights at crossover locations, and gridded onto a 2.5 × 2.5 arc-minute resolution grid. EGM96-derived components of deflections of the vertical and gravity anomalies gridded into 2.5 × 2.5 arc-minute resolutions were then used as reference global geopotential model quantities in a remove-restore procedure to implement the Inverse Vening Meinesz formula via the 1D-FFT technique to predict the gravity anomalies over the South China and Philippine Seas from the gridded altimeter-derived components of deflections of the vertical. Statistical comparisons between the altimeter-derived and the shipboard gravity anomalies showed that there is a root-mean-square agreement of 5.7 mgals between them.     

High precision vertical deflection over China marginal sea and global sea derived from multi-satellite altimeter

On the basis of gravity field model (EIGEN_CG01C), together with multi-altimeter data, the improved deflection of the vertical gridded in 2′×2′ in China marginal sea and gridded in 5′×5′ in the global sea was determined by using the weighted method of along-track least squares, and the accuracy is better than 1.2″ in China marginal sea. As for the quality of the deflection of the vertical, it meets the challenge for the gravity field of high resolution and accuracy. It shows that, compared with the shipboard gravimetry in the sea, the accuracy of the gravity anomalies computed with the marine deflection of the vertical by inverse Vening-Meinesz formula is 7.75 m·s?2.     

联合多种测高数据确定中国边缘海及全球海域的垂线偏差

On the basis of gravity field model （EIGEN_CG01C）, together with multi-altimeter data, the improved deflection of the vertical gridded in 2＇×2＇ in China marginal sea and gridded in 5＇×5＇ in the global sea was determined by using the weighted method of along-track least squares, and the accuracy is better than 1.2^# in China marginal sea. As for the quality of the deflection of the vertical, it meets the challenge for the gravity field of high resolution and accuracy, it shows that, compared with the shipboard gravimetry in the sea, the accuracy of the gravity anomalies computed with the marine deflection of the vertical by inverse Vening-Meinesz formula is 7.75 m.s ^-2.     

Improving gravity anomalies over China marginal sea from retracked Geosat and ERS-1 data

The quality of altimeter data and ocean tide model is critical to the recovery of coastal gravity anomalies. In this contribution, three retracking methods (threshold, improved threshold and Beta-5) are investigated with the aim of improving the altimeter data over a shallow water area. Comparison indicates that the improved threshold is the best retracking method over China Sea. Two ocean tide models, NAO99b and CSR4.0, are analyzed. Results show that different tide models used in the processing of altimeter data may result in differences more than 10 mGal in recovered coastal gravity anomalies. Also, NAO99b is more suitable than CSR4.0 over the shallow water area of China Sea. Finally, gravity anomalies over China Sea are calculated from retracked Geosat/GM and ERS-1/GM data by least squares collocation. Comparison with shipborne gravimetry data demonstrates that gravity anomalies from retracked data are significantly superior to those from non-retracked data. Our results have the same order as the other two altimeter-derived gravity models: Sandwell&Smith(V16) and DNSC08.     

利用多代卫星测高数据反演海洋重力场

为了解决多代卫星测高数据之间的不协调性问题,本文基于误差验后补偿理论,提出将传统的交叉点平差整体解法简化为两步处理法,即首先使用条件平差法对交叉点观测方程进行平差计算,然后沿测高轨迹进行海面高滤波和推估。在此基础上,本文利用多代卫星测高数据联合平差获得的结果,进一步反演了中国海及其邻域地区的重力异常,并将计算结果同海面船测数据作了比对,实际算例已经证明了新方法的有效性。