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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/102355


    Title: Thermospheric mass density specification using an ensemble Kalman filter
    Authors: 李奕德;Matsuo, Tomoko;Lee, I-Te;Anderson, Jeffrey L.
    Contributors: 地球科學學院太空科學與工程學系
    Keywords: data assimilation;General circulation models;Ionosphere;thermosphere
    Date: 2013-01-01
    Issue Date: 2026-04-23 11:06:58 (UTC+8)
    Publisher: Wiley-Blackwell;Washington: Blackwell Publishing Ltd
    Abstract: 摘要: This paper presents an application of ensemble Kalman filtering (EnKF) to a general circulation model of the thermosphere and ionosphere. It is designed to incorporate the feedback between plasma and neutral variables in both the analysis and forecast steps of filtering so that thermospheric parameters can be inferred from ionospheric observations and vice versa. We make a case that the global neutral density specification can greatly benefit from this approach based on a number of filtering experiments conducted under the assumption of no model bias. Specific observations considered are (i) neutral mass densities obtained from the accelerometer experiment on board the CHAMP satellite and (ii) electron density profiles obtained from the COSMIC/FORMOSAT‐3 mission. Assimilation of the neutral mass density obtained from the CHAMP mission into the TIEGCM is shown to improve the neutral density specification in the vicinity of satellite orbits, but is short of making a global impact unless accompanied by the estimation of the primary driver of the density variability such as solar EUV flux. On the other hand, assimilation of the COSMIC/FORMOSAT‐3 electron density profiles into the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model (TIEGCM) is far more effective than the CHAMP neutral density in terms of improving the global neutral mass density specification. This suggests a synthesis of thermospheric and ionospheric observations into the general circulation model, brought about with the help of the latest EnKF techniques, can effectively increase the geophysical information content of observations. Key PointsThis technique can increase geophysical information content of observationsPossible to infer thermospheric parameters from electron density observationsThe EnKF system was constructed with NCAR community softwares
    其他題名: J. Geophys. Res. Space Physics
    出版者: Washington: Blackwell Publishing Ltd
    出版日期: 2013-03
    出處: Journal of geophysical research : Space physics (2013 - Present), 2013-03, Vol.118 (3), p.1339-1350
    資源來源: Wiley Online Library Journals
    版權: 2013. American Geophysical Union. All Rights Reserved.
    版權: 2013 American Geophysical Union. All rights reserved.
    識別號: ISSN: 2169-9380
    識別號: ISSN: 2169-9402
    識別號: EISSN: 2169-9402
    識別號: DOI: 10.1002/jgra.50162
    Appears in Collections:[DEPARTMENT OF SPACE SCIENCE AND ENGINEERING] journal & Dissertation

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