球外部高程异常计算模型改化与数值检验

Refinement and Numerical Validation of the Computational Model for External Height Anomaly

  • 摘要: 通过地形调整和重力向下解析延拓方法求解地球表面边值问题,最终都要归结为含地心向径因子核函数的球外部扰动位泛函全球积分模型解算问题,当计算点无限接近球面数据网格点时,此类计算模型的积分核函数会发生奇异,导致计算结果失效。针对此问题,分别提出了基于中心网格数据区块分离法和基于计算点网格数据移去恢复法的两种去除积分核函数奇异性解决方案,同时提出了全球积分模型向局域数值积分模型转换的实用性改化方案,解决了球外部超低空高程异常的精密解算问题。分析研究了数据观测误差对高程异常计算结果的影响特性及制衡关系,辨别了影响球外部高程异常计算精度的主要干扰源。选择珠穆朗玛峰山区作为试验区,利用超高阶位模型EGM2008对核函数奇异性解决方案和计算模型实用性改化方案进行了数值计算验证,证实所提方案是可行有效的,即使在重力场变化极为剧烈的珠穆朗玛峰山区,经改化后的严密计算模型也能取得优于1 cm的内符合精度。

     

    Abstract: Objectives: In solving the Earth's surface boundary value problem through terrain adjustment and downward analytical continuation of gravity data, the process ultimately reduces to the computation of a global integral model for the disturbance potential functional in the external space of the Earth, which contains a kernel function with geocentric radius factor. When the computation point approaches infinitely close to the spherical grid nodes, singularities occur in the integral kernel functions of such computational models, leading to failure in calculation results. Methods: To address this issue, two distinct solutions were proposed to eliminate the singularities in the integral kernel functions: one is called central grid data block separation method, and another called computation point grid data remove-restore technique. Concurrently, a practical modification scheme was developed for converting global integral models into localized numerical integration models, resolving the challenge of precise calculation of ultra-low-altitude height anomalies in the Earth's external space. The influence characteristics and equilibrium relationships between observational data errors and height anomaly computation results were systematically analyzed, identifying the primary interference sources affecting the accuracy of external height anomaly calculations. Results: The Mount Everest region was selected as a test area, where the singularity elimination solutions and model modification schemes were numerically validated using the ultrahigh-degree geopotential model EGM2008. The results confirmed the feasibility and effectiveness of the proposed methodologies. Even in the Mount Everest region where gravity field variations are extremely intense, the refined rigorous computational model can achieve an internal consistency accuracy better than 1 cm. Conclusions: It is showed that reducing systematic bias in data observation and implementing kernel truncation modification measures are key to improving the accuracy of external height anomaly calculations. And using the modification model recommended in this paper for calculating external height anomalies can meet the requirements of constructing high-accuracy and high-resolution numerical models of height anomalies today.

     

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