共查询到18条相似文献，搜索用时 140 毫秒
1.
用强制改正法建立中国近海平均海平面高模型 总被引：1，自引：0，他引：1
联合Geosat GM数据、ERS-1数据、T/P数据、T/P新轨道数据、ERS-2数据和GFO数据,采用强制改正法确定了中国近海(0°~41°N,105°~132°N)2′×2′格网分辨率的平均海面高模型,并将其与CLS01、GF-SC00.1和KMS04平均海面高模型进行了比较。统计结果显示,这些模型格网差值的RMS分别是10.17cm1、2.70 cm和16.13 cm,在剔除差值大于50 cm(分别剔除0.5%、0.89%和1.6%)的误差点后,RMS分别为7.98 cm1、0.29 cm和12.59 cm;与三年的Jason-1数据(Cycle 22~127)的平均框架相比,其RMS为7.40cm。 相似文献
2.
平均海面模型是研究海图基准及海平面化的重要参考.经过数据预处理、重复周期观测数据共线平差、非重复周期观测数据海面时变校正、多种卫星测高数据联合交叉点平差、海面高格网化等几个环节,利用1993—2012年近20年的测高数据,建立日本海域(30° ～45°N、130° ～145°E)2′ ×2′网格分辨率的平均海平面模型(Japan Mean Sea Surface,JPMSS),与WHU2013、CLS15、DTU18三种全球平均海面高模型以及TP(Topex/Poseidon)/J1(Jason-1)/J2(Jason-2)平均参考框架,进行比较分析,结果显示,在研究区域内,JPMSS相比于其他模型误差最小,精度较为可靠. 相似文献
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本文以T/P系列卫星测高数据为研究基础,对各月份数据进行共线处理,对各交叉点进行平差,从而得到海面高,然后对海面高程异常值进行计算,通过对T/P卫星同时在轨阶段测高数据进行综合分析分析,得到中国近海及邻域的平均偏差数据,分别是T/P与Jason-1的差值为-11.76 cm,Jason-1与Jason-2的差值为9.60 cm,Jason-2与Jason-3的差值为2.42 cm,并进行海面高异常改正,建立了研究海域25年的海面高异常序列.对得到海面高异常序列进行分析,得到黄海、东海的海平面上升速率分别为2.68、2.88 mm/a. 相似文献
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联合多代卫星测高数据确定中国近海稳态海面地形模型 总被引：3，自引：0，他引：3
联合多代测高卫星(Geosat GM和ERS-1/168,TOPEX/Poseidon(简称T/P)、变轨T/P,ERS-2,GFO)数据,基于强制改正法得到中国近海2'×2'格网分辨率的平均海面高模型;然后以EIGEN-GL04C重力场模型为参考模型,基于测高垂线偏差法精化得到中国近海2'×2'格网分辨率的测高大地水准面模型;最后联合移去一恢复技术和Gauss滤波技术,采用几何域法得到中国近海2'×2'格网分辨率的测高海面地形.利用中国沿岸长期验潮站平均海面高程信息,由直接推算法与平差法得出1985国家高程基准相对于所建测高大地水准面的垂直偏差分别为23.62±5.38 cm与22.33±1.07cm,与海洋学方法和GPS/水准方法得到的近期结果相近[1～2];扣除各自垂直偏差后的比较表明,由上述两种方法得到的海面地形模型的精度分别为±5.38cm与±5.23 cm. 相似文献
7.
利用多代卫星测高资料监测1993～2011年全球海平面变化 总被引：1，自引：0，他引：1
联合多代测高卫星T/P、Jason-1/2海面高数据和验潮站数据,确定了各卫星高度计的长期低频漂移,建立了统一的卫星测高海面高观测值,研究了1993～2011年间全球平均海平面的变化。结果表明,近18a全球平均海平面以3.12±0.4mm·a-1的速率上升,其中,海平面年际信号与ENSO事件表现出较强的相关性。 相似文献
8.
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
9.
首先给出海面高的计算方法,并引入基于高斯滤波的粗差探测方法,有效地剔除了各弧段测高数据存在的粗差。通过对3颗卫星同步运行段测高数据的分析,得到3组数据在中国近海及邻域的平均偏差分别为:Jason-1相对T/P需改正-8.77 cm;Jason-2相对Jason-1需改正-7.33 cm,两者均小于其在全球海域的改正值。以T/P测高数据所得平均海平面为基础,利用改正后的Jason-1、Jason-2数据,得到该海域18年海平面异常时间序列,海平面平均上升速率约为4.9 mm/a。分别对中国近海各海域海平面异常时间序列进行分析,得到渤海、黄海、东海及南海的海平面平均上升速率分别为:2.5 mm/a、3.2 mm/a、3.6 mm/a和6.2 mm/a。将所得每周期离散正常点的观测数据格网化,然后逐格网计算海平面异常时间序列,得到研究海域18年来海平面异常平均上升速率的分布情况。结果表明,研究海域海平面上升速率高于全球平均水平。 相似文献
10.
由ERS-2和TOPEX卫星测高数据推算的海面高异常的主成分分析 总被引：1，自引：0，他引：1
利用1995~2003年间的TOPEX/POSEIDON和ERS-2卫星测高数据,尽量采用相同的改正模型对TOPEX和ERS-2卫星测高数据分别进行改正,然后由共线分析法分别推算了全球1°×1°的35 d的海面高异常时间序列,并采用主成分分析法分别对这两个海面高异常时间序列进行了分析。 相似文献
11.
Global mean sea surface heights (SSHs) and gravity anomalies on a 2′×2′ grid were determined from Seasat, Geosat (Exact Repeat Mission and Geodetic Mission), ERS-1 (1.5-year mean of 35-day, and
GM), TOPEX/POSEIDON (T/P) (5.6-year mean) and ERS-2 (2-year mean) altimeter data over the region 0∘–360∘ longitude and –80∘–80∘ latitude. To reduce ocean variabilities and data noises, SSHs from non-repeat missions were filtered by Gaussian filters
of various wavelengths. A Levitus oceanic dynamic topography was subtracted from the altimeter-derived SSHs, and the resulting
heights were used to compute along-track deflection of the vertical (DOV). Geoidal heights and gravity anomalies were then
computed from DOV using the deflection-geoid and inverse Vening Meinesz formulae. The Levitus oceanic dynamic topography was
added back to the geoidal heights to obtain a preliminary sea surface grid. The difference between the T/P mean sea surface
and the preliminary sea surface was computed on a grid by a minimum curvature method and then was added to the preliminary
grid. The comparison of the NCTU01 mean sea surface height (MSSH) with the T/P and the ERS-1 MSSH result in overall root-mean-square
(RMS) differences of 5.0 and 3.1 cm in SSH, respectively, and 7.1 and 3.2 μrad in SSH gradient, respectively. The RMS differences
between the predicted and shipborne gravity anomalies range from 3.0 to 13.4 mGal in 12 areas of the world's oceans.
Received: 26 September 2001 / Accepted: 3 April 2002
Correspondence to: C. Hwang
Acknowledgements. This research is partly supported by the National Science Council of ROC, under grants NSC89-2611-M-009-003-OP2 and NSC89-2211-E-009-095.
This is a contribution to the IAG Special Study Group 3.186. The Geosat and ERS1/2 data are from NOAA and CERSAT/France, respectively.
The T/P data were provided by AVISO. The CLS and GSFC00 MSS models were kindly provided by NASA/GSFC and CLS, respectively.
Drs. Levitus, Monterey, and Boyer are thanked for providing the SST model. Dr. T. Gruber and two anonymous reviewers provided
very detailed reviews that improved the quality of this paper. 相似文献
12.
本文联合T/P数据、T/P新轨道数据、ERS数据、GFO数据、GeosatGM数据和ERS-1/168数据,用测高卫星记录点的位置信息直接计算沿轨大地水准面的方向导数,结合测线轨迹方向的方位角在交叉点处推求垂线偏差,然后利用逆Vening-Meinesz公式计算了中国近海(0o～41oN,105o～132oN)2′×2′格网分辨率的海域重力异常模型。将其与CLS_SHOW99重力异常模型比较,统计结果表示与该模型差异的RMS为8.15mgal,在剔除差值大于20mgal的点(剔除3.3%)以后,RMS为4.72mgal;与某海区船测重力异常比较的RMS为8.91mgal。 相似文献
13.
Analysis of some systematic errors affecting altimeter-derived sea surface gradient with application to geoid determination over Taiwan 总被引：3，自引：1，他引：3
C. Hwang 《Journal of Geodesy》1997,71(2):113-130
This paper analyzes several systematic errors affecting sea surface gradients derived from Seasat, Geosat/ERM, Geosat/GM,
ERS-1/35d, ERS-1/GM and TOPEX/POSEIDON altimetry. Considering the data noises, the conclusion is: (1) only Seasat needs to
correct for the non-geocentricity induced error, (2) only Seasat and Geosat/GM need to correct for the one cycle per revolution
error, (3) only Seasat, ERS-1/GM and Geosat/GM need to correct for the tide model error; over shallow waters it is suggested
to use a local tide model not solely from altimetry. The effects of the sea surface topography on gravity and geoid computations
from altimetry are significant over areas with major oceanographic phenomena. In conclusion, sea surface gradient is a better
data type than sea surface height. Sea surface gradients from altimetry, land gravity anomalies, ship gravity anomalies and
elevation data were then used to calculate the geoid over Taiwan by least-squares collocation. The inclusion of sea surface
gradients improves the geoid prediction by 27% when comparing the GPS-derived and the predicted geoidal heights, and by 30%
when comparing the observed and the geoid-derived deflections of the vertical. The predicted geoid along coastal areas is
accurate to 2 cm and can help GPS to do the third-order leveling.
Received 22 January 1996; Accepted 13 September 1996 相似文献
14.
联合TOPEX/Poseidon与Geosat/ERM测高资料建立区域潮汐模型的研究 总被引：2，自引：1，他引：2
利用近十年的T/P测高数据来反演南海(8°~23°N,109°~120°E)九个主要分潮的潮汐参数,并计算了Geosat/ERM卫星对应的各主分潮的混叠周期及Rayleigh周期。根据潮汐参数提取的要求,选取了7个主分潮,为了克服混叠影响,将T/P沿迹点处的主要分潮间的5组差比关系引入到Geosat沿迹点处,并利用T/P提供的Sa模型去除Sa对M2的扰动影响。精度估计的结果表明,Geosat/ERM反演的潮汐参数的精度与传统的月分析结果的精度相近;因差比关系的捆绑,整个全日和半日潮族迟角偏差相近,这主要和Geosat/ERM的轨道设计有关。本文的方法可以应用于利用轨道调整后的T/P卫星的测高数据提取潮汐参数。 相似文献
15.
We can presently construct two independent time series of sea level, each at a precision of a few centimeters, from Geosat
(1985–1988) and TOPEX/Poseidon (1992–1995) collinear altimetry. Both are based on precise satellite orbits computed using
a common geopotential model, JGM-2 (Nerem et al. 1994). We have attempted to connect these series using Geosat-T/P crossover
differences in order to assess long-term ocean changes between these missions. Unfortunately, the observed result are large-scale
sea level differences which appear to be due to a combination of geodetic and geopotential error sources. The most significant
geodetic component seems to be a coordinate system bias for Geosat sea level (relative to T/P) of −7 to −9 cm in the y-axis (towards the Eastern Pacific). The Geosat-T/P sea height differences at crossovers (with JGM-2 orbits) probably also
contain stationary geopotential-orbit error of about the same magnitude which also distort any oceanographic interpretation
of the observed changes. We also found JGM-3 Geosat orbits have not resolved the datum errors evident from the JGM-2 Geosat
-T/P results. We conclude that the direct altimetric approach to accurate determination of sea level change using Geosat and
T/P data still depends on further improvement in the Geosat orbits, including definition of the geocenter.
Received: 11 March 1996; Accepted: 19 September 1996 相似文献
16.
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
17.
卫星测高数据的沿轨迹重力异常反演法及其应用 总被引：10，自引：0，他引：10
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。 相似文献
18.
多代卫星测高数据联合平差及重力场反演 总被引：1，自引：0，他引：1
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。 相似文献