High-Precision On-Orbit Validation for Geophysical Field Satellite Data based on CSES satellite observations
-
摘要: 聚焦我国地球物理场卫星张衡一号电磁卫星四大类(电磁场、原位等离子体、高能粒子及电离层结构)共计八种载荷的数据定标难题,构建了我国首个电磁卫星数据全链路在轨定标技术体系。该体系纵向实现了载荷自身“原始电信号-物理量-数据产品”的全链路精准定标,向借助磁暴、闪电、强震等自然现象及甚低频发射站等人工信号,开展了载荷间、星间、星地、模型于实测的多维交叉校验,使定标后张衡一号电磁卫星数据整体达到国际先进水平,部分指标处于国际领先地位,磁测数据获欧空局Swarm团队认可并纳入国际主流模型数据源。核心成果包括:实现了矢量磁场高精度在轨定标与干扰抑制,磁场数据精度提升至优于1 nT;提出了电磁场时间同步校正技术,同步精度优于0.1秒;揭示了卫星平台材料退化与光照条件对等离子体观测的影响机制,提出了动态偏压调整方案;利用太阳质子事件定量评估了高能粒子观测中的质子污染水平;优化了电离层TEC反演与校正方法,获得了高精度电子密度剖面。该体系已应用于张衡一号01星数据产品生产,并驱动02星工程实施9项关键改进,显著提升了卫星观测效能。经定标后的数据产品已服务于地震监测、空间天气、国防安全及科学研究等领域,得到国际同行认可,为我国在相关技术领域实现从“跟跑”到“并跑”乃至“领跑”奠定了关键技术基础。
Abstract: This study focuses on the data validation challenges of eight types of payloads in four major categories (electromagnetic field, in-situ plasma, energetic particles, and ionospheric structure) carried by China Seismo-Electromagnetic Satellite (CSES), the in-orbit full-chain validation system for electromagnetism satellite data in China has been established. This system vertically achieves precise end-to-end validation from "raw electrical signals to physical quantities and then to data products" for each payload. Horizontally, it conducts multidimensional cross-validation among payloads, satellites, and ground-based observations, as well as between models and measurements, utilizing natural phenomena such as magnetic storms, lightning, and strong earthquakes, along with artificial signals like very low-frequency (VLF) transmitters. As a result, the validated data from CSES have reached an internationally advanced level overall, with some indicators leading globally. The magnetic measurement data have been recognized by the European Space Agency's Swarm team and incorporated into mainstream international models as a key data source. Key achievements include: achieving high-precision in-orbit validation and interference suppression for vector magnetic fields, with data accuracy improved to better than 1 nT; proposing electromagnetic field time synchronization correction tool, achieving synchronization accuracy better than 0.1 seconds; revealing the impact mechanisms of satellite platform material degradation and illumination conditions on plasma observations, and proposing dynamic bias adjustment solutions; quantitatively assessing proton contamination in high-energy particle observations using solar proton events; and optimizing ionospheric TEC inversion and correction methods to obtain high-precision electron density profiles. This system has been applied to the data product generation of CSES-01 and has driven the implementation of nine key improvements in the CSES-02 project, significantly enhancing satellite observational performance. The calibrated data products have served fields such as earthquake monitoring, space weather, national defense security, and scientific research, earning recognition from international peers and laying a key technological foundation for China's transition from "catching up" to "keeping pace" and even "leading" in related technological domains.
-
Key words:
- CSES /
- Data Processing /
- On-orbit Validation /
- Scientific Data
-
-
计量
- 文章访问数: 15
- HTML全文浏览量: 2
- PDF下载量: 0
-
被引次数:
0(来源:Crossref)
0(来源:其他)
下载: