DOI: 10.1029/2017JA025118
Scopus记录号: 2-s2.0-85050290933
论文题名: The First Comparison Between Swarm-C Accelerometer-Derived Thermospheric Densities and Physical and Empirical Model Estimates
作者: Kodikara T. ; Carter B. ; Zhang K.
刊名: Journal of Geophysical Research: Space Physics
ISSN: 21699380
出版年: 2018
卷: 123, 期: 6 起始页码: 5068
结束页码: 5086
语种: 英语
英文关键词: physics-based thermospheric density
; Swarm-C accelerometer-derived density
; Taylor diagram
; thermosphere machine learning
; thermosphere upper atmosphere
; TIE-GCM NRLMSISE-00 DTM-2013
英文摘要: The first systematic comparison between Swarm-C accelerometer-derived thermospheric density and both empirical and physics-based model results using multiple model performance metrics is presented. This comparison is performed at the satellite's high temporal 10-s resolution, which provides a meaningful evaluation of the models' fidelity for orbit prediction and other space weather forecasting applications. The comparison against the physical model is influenced by the specification of the lower atmospheric forcing, the high-latitude ionospheric plasma convection, and solar activity. Some insights into the model response to thermosphere-driving mechanisms are obtained through a machine learning exercise. The results of this analysis show that the short-timescale variations observed by Swarm-C during periods of high solar and geomagnetic activity were better captured by the physics-based model than the empirical models. It is concluded that Swarm-C data agree well with the climatologies inherent within the models and are, therefore, a useful data set for further model validation and scientific research. ©2018. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113824
Appears in Collections: 气候减缓与适应
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作者单位: SPACE Research Centre, RMIT University, Melbourne, VIC, Australia; SERC Limited, AITC2 Mount Stromlo Observatory, Canberra, ACT, Australia
Recommended Citation:
Kodikara T.,Carter B.,Zhang K.. The First Comparison Between Swarm-C Accelerometer-Derived Thermospheric Densities and Physical and Empirical Model Estimates[J]. Journal of Geophysical Research: Space Physics,2018-01-01,123(6)