Development of a middle and low latitude theoretical ionospheric model and an observation system data assimilation experiment |
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Authors: | Yue XinAn Wan WeiXing Liu LiBo Le HuiJun Chen YiDing Yu Tao |
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Affiliation: | [1]Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China [2]Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China [3]Graduate University of Chinese Academy of Sciences, Beijing 100049, China [4]National Center for Spaceweather, CMA, Beijing 100081, China |
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Abstract: | On the basis of previous work, we develop a middle and low latitude theoretical ionospheric model in this paper, named Theoretical Ionospheric Model of the Earth in the Institute of Geology and Geophysics, Chinese Academy of Sciences (TIME-IGGCAS). TIME-IGGCAS solves the equations of mass continuity, motion and energy of electron and ions self-consistently and uses an eccentric dipole field approximation to the Earth’s magnetic field. We combine the Eulerian and Lagrangian approaches in the model and take account of the plasma E×B drift velocity. Calculation results reveal that the model is steady and credible and can reproduce most large-scale features of ionosphere. By using TIME-IGGCAS, we carried out an observation system data assimilation experiment. Assimilation results show that the E×B drift velocity can be accurately estimated by ingesting the observed foF2 and hmF2 into the model applying nonlinear least-square fit method. We suggest that this work is of great significance in the development of ionospheric data assimilation model to give better nowcast and forecast of ionosphere. Supported by the Knowledge Innovation Project of Chinese Academy of Sciences (Grant No. KZCX3-SW-144), the National Natural Science Foundation of China (Grant Nos. 40636032, 40574071 and 40504023), and National Important Basic Research Project (Grant No. 2006CB806306) |
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Keywords: | ionosphere theoretical model data assimilation nonlinear least-square fit method |
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