Error analysis of HASDM using SWARM satellite data
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摘要: 基于SWARM-B和SWARM-C卫星加速度计反演的大气热层密度数据,对HASDM模型的误差特性进行了全面分析,涵盖了太阳活动水平、地磁活动水平、纬度、地方时和高度等多维因素的影响。研究发现:HASDM在太阳活动中高水平和地磁活动增强条件下表现出较好的性能,误差较小且稳定性较高,而在低太阳活动和低地磁活动水平下,易高估密度;纬度分布显示,HASDM在南北极高纬度区域主要表现为低估趋势,赤道附近呈现高估趋势;地方时分析表明,HASDM能准确捕捉峰谷变化,但在特定时段如地方时3-5时和19-21时的高估现象较为明显;高度分析显示,轨道升高,相对误差较小,但不稳定性增大。研究结果为进一步优化HASDM模型性能和提升其在复杂空间环境中的适应性提供了重要依据。Abstract: Based on the atmospheric thermospheric density data inverted by the accelerometers of the SWARM-B and SWARM-C satellites, the error characteristics of the HASDM model were comprehensively analyzed, covering the influence of multi-dimensional factors such as solar activity level, geomagnetic activity level, latitude, local time and altitude. The study found that HASDM showed good performance under high solar activity and enhanced geomagnetic activity conditions, with small errors and high stability, while it was easy to overestimate density under low solar activity and low geomagnetic activity levels; the latitude distribution showed that HASDM mainly showed an underestimation trend in the high latitudes of the North and South Poles, and an overestimation trend near the equator; the local time analysis showed that HASDM could accurately capture the peak and valley changes, but the overestimation phenomenon was more obvious in specific periods such as 3-5 local time and 19-21 local time; the altitude analysis showed that the orbit was elevated, the relative error was small, but the instability increased. The research results provide an important basis for further optimizing the performance of the HASDM model and improving its adaptability in complex space environments.
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Key words:
- HASDM /
- SWARM /
- orbit atmosphere /
- error characteristics /
- model correction
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