Improving the accuracy of global geoid models in Persian Gulf and Oman sea using satellite altimetry observations

IF 2.5 Q2 REMOTE SENSING
Hany Mahbuby, Rezvan Sahragard, Yazdan Amerian
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引用次数: 0

Abstract

The geoid, an equipotential surface of the Earth's gravity field, serves as the fundamental vertical reference for national height systems and closely approximates Mean Sea Level (MSL), particularly over oceanic regions. While global geoid models such as EGM2008 and XGM2019e provide valuable large-scale representations, their accuracy can vary significantly across regions, especially in areas with sparse or low-quality data. In southern Iran, along the coasts of the Persian Gulf and the Oman Sea, high discrepancies have been observed between EGM2008 and GPS/levelling data, emphasizing the need for regional enhancement. This study aims to improve geoid accuracy in the Persian Gulf and Oman Sea by integrating satellite altimetry data from Jason-3 and Sentinel-3A with the global EGM2008 model, which serves as the background geoid. MSL estimate and Mean Dynamic Topography (MDT) model are derived from satellite altimetry observations and 0.125° × 0.125° global ocean MDT product of Copernicus Marine Environment Monitoring Service (CMEMS), respectively. The differences between altimetry-derived geoid heights and those from EGM2008—referred to as residuals—are interpolated on a regular spherical grid and used to locally correct the background model via statistical collocation. Cross-covariance and observation weight matrices are estimated using experimental variograms, covariance functions, and the Gaussian Process Regression (GPR) method to ensure accurate correction values. The resulting regionalized geoid model is validated against GPS/levelling-derived geometric geoid heights along the coastline, demonstrating substantially improved accuracy, with RMSE reduced to approximately 23 cm relative to EGM2008 and 21 cm relative to the more recent XGM2019e model. Spectral analysis further reveals that the constructed geoid primarily improves the long-wavelength structure of the model through regional-scale adjustments, which contributes to its enhanced overall accuracy.

利用卫星测高观测提高波斯湾和阿曼海全球大地水准面模型的精度
大地水准面是地球重力场的等势面,作为国家高度系统的基本垂直参考,与平均海平面(MSL)非常接近,特别是在海洋地区。虽然EGM2008和XGM2019e等全球大地水准面模型提供了有价值的大尺度表示,但它们的精度在不同地区差异很大,特别是在数据稀疏或低质量的地区。在伊朗南部、波斯湾和阿曼海沿岸,EGM2008与GPS/水准测量数据之间存在很大差异,这强调了加强区域监测的必要性。本研究将Jason-3和Sentinel-3A卫星测高数据与全球EGM2008模型相结合,作为背景大地水准面,以提高波斯湾和阿曼海的大地水准面精度。MSL估计和平均动力地形(MDT)模型分别来源于卫星测高观测和哥白尼海洋环境监测服务(CMEMS) 0.125°× 0.125°全球海洋MDT产品。高度计测得的大地水准面高度与2008年的大地水准面高度之间的差异(称为残差)被插值到一个规则的球面网格上,并通过统计搭配用于局部校正背景模型。利用实验方差、协方差函数和高斯过程回归(GPR)方法估计交叉协方差和观测权矩阵,确保校正值准确。根据海岸线沿线的GPS/水准衍生几何大地水准面高度验证了所得到的区域化大地水准面模型,显示出大大提高的精度,相对于EGM2008, RMSE降低到约23 cm,相对于最近的XGM2019e模型,RMSE降低到21 cm。光谱分析进一步表明,构建的大地水准面主要通过区域尺度调整改善了模型的长波结构,从而提高了模型的整体精度。
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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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