DOI码：10.1007/s11430-025-1965-x

所属单位：南京航空航天大学

发表刊物：SCIENCE CHINA Earth Sciences

项目来源：国家重点研发计划(2022YFF0503603);国家自然科学基金(12275303)

关键字：Arase satellite; Van Allen Probes; cross calibration; neural network; nowcasting model

摘要：Relativistic electrons in Earth’s outer radiation belt pose severe hazards to 9 spacecraft, especially during geomagnetic storms when electron fluxes surge. NASA’s Van 10 Allen Probes (RBSP, 2012–2019) provided high quality measurements but did not span a full 11 solar cycle, whereas JAXA’s ongoing Arase mission extends in situ observations into the 12 subsequent cycle. Quantitative data fusion across missions is hampered by differences in 13 instrument response and energy coverage. Here we develop a neural network based cross 14 calibration framework to harmonize electron flux measu

备注：2026年5月21日网络首发，卷期页待更新

论文类型：期刊论文

学科门类：工学

一级学科：航空宇航科学与技术

文献类型：J

ISSN号：1674-7313

是否译文：否

发表时间：2026-05-21

合写作者：马晨睿,周子航

第一作者：王彪

通讯作者：方美华,Rui Chen