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Effects of estimating the ionospheric and thermospheric parameters on electron density forecasts
Zhang, Yanan1,2; Wu, Xiaocheng1; Hu, Xiong1
作者部门空间环境部
发表期刊Science China Earth Sciences
2018
DOI10.1007/s11430-017-9251-4
ISSN1674-7313
语种英语
摘要Based on the thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIEGCM), a thermospheric-ionospheric data assimilation and forecast system is developed. Using this system, we estimated the oxygen ions, neutral temperature, wind, and composition by assimilating the simulated data from Formosa Satellite 3/Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) occultation electron density profiles to evaluate their effects on the ionospheric forecast. An ensemble Kalman filter data assimilation scheme and combined state and parameter estimation methods are used to estimate the unobserved parameters in the model. The statistical results show that the neutral and ion compositions are more effective than the neutral temperature and wind for improving the forecast of the ionospheric electron density, whose root mean square errors in the assimilation period decreased by approximately 40%, 30%, and 10% due to the estimations of the neutral composition, oxygen ions, and neutral temperature, respectively. Due to the different physical and chemical processes that these parameters primarily affect, their e-folding times differ greatly from longer than 12 h for neutral composition to approximately 6 h for oxygen ions and 3 h for neutral temperature. The effect of estimating the neutral composition on improving the ionospheric forecast is greater than that of estimating the oxygen ions, which can be also be seen in an actual data assimilation experiment. This indicates that the neutral composition is the most important thermospheric parameter in ionospheric data assimilations and forecasts. © 2018, Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature.
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文献类型期刊论文
条目标识符http://ir.nssc.ac.cn/handle/122/6543
专题空间环境部
作者单位1.National Space Science Center, Chinese Academy of Sciences, Beijing; 100190, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China
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GB/T 7714
Zhang, Yanan,Wu, Xiaocheng,Hu, Xiong. Effects of estimating the ionospheric and thermospheric parameters on electron density forecasts[J]. Science China Earth Sciences,2018.
APA Zhang, Yanan,Wu, Xiaocheng,&Hu, Xiong.(2018).Effects of estimating the ionospheric and thermospheric parameters on electron density forecasts.Science China Earth Sciences.
MLA Zhang, Yanan,et al."Effects of estimating the ionospheric and thermospheric parameters on electron density forecasts".Science China Earth Sciences (2018).
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