基于剩余代校正的GRACE-FO卫星数据预处理及其对重力场逆转的应用.
1School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710064, China.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
这项研究通过使用代残余校正来清理低准确度数据来提高卫星重力测量准确度. 增强的数据质量显著提高了地球重力场模型的精度,用于测量任务.
科学领域:
- 地测与地球系统科学 地测与地球系统科学
- 卫星遥感 卫星遥感 卫星遥感
- 地质物理数据分析数据分析
背景情况:
- 像GRACE-FO这样的卫星重力测量任务为地球重力场恢复提供了关键数据.
- 低准确度的数据,包括异常值和差距,限制了重力场逆转的准确性.
- 现有的预处理方法很难完全解决数据不连续性和干扰.
研究的目的:
- 开发和验证数据预处理框架,以提高卫星重力测量数据的质量.
- 为了提高来自卫星观测的地球引力场模型的准确性和可靠性.
- 为了减轻低准确度数据对反转精度的影响.
主要方法:
- 实施了一种用于数据预处理的代剩余校正框架.
- 使用的1B级GRACE-FO卫星观测 (2020年1月).
- 应用异常值检测/删除和spline插值来补偿数据缺口.
主要成果:
- 提出的方法有效地减少了数据不连续性和异常扰动.
- 数据质量得到了显著的改善.
- 一个60级的地球重力场模型显示,反转精度增强了两级 (10−810−9).
结论:
- 代剩余校正框架为卫星重力测量数据预处理提供了一个强大的解决方案.
- 提高数据质量导致重力场模型准确度大大提高.
- 这种方法提高了重力场恢复在测量任务中的可靠性.
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