JpGU-AGU Joint Meeting 2017

Presentation information

[EE] Oral

P (Space and Planetary Sciences) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM17] [EE] Recent Advances in Ionosphere Observation and Modeling for Monitoring and Forecast

Mon. May 22, 2017 9:00 AM - 10:30 AM A10 (Tokyo Bay Makuhari Hall)

convener:Charles Lin(Department of Earth Science, National Cheng Kung University), Yang-Yi Sun(Kyushu Univsersuty, Department of Earth and Planetary Science), Hidekatsu Jin(National Institude of Information and Communications Technology), Jaeheung PARK(Korea Astronomy and Space Science Institute), Chairperson:Charles Lin(Department of Earth Science, National Cheng Kung University), Chairperson:Young-Sil Kwak(KASI Korea Astronomy and Space Science Institute)

9:45 AM - 10:00 AM

[PEM17-04] Global Three-Dimensional Ionospheric Data Assimilation Model Using Ground-based GPS and Radio Occultation Total Electron Content

*CHIYEN LIN1, Tomoko Matsuo2, Jann-Yenq Liu1, Charles Lin3, Ho-Fang Tsai3, Chao-Yan Chen1 (1.Graduate Institute of Space Science, National Central University, TAIWAN, 2.Department of Aerospace Engineering Sciences, University of Colorado, Boulder, Colorado, USA, 3.Department of Earth Sciences, National Cheng Kung University, Tainan, Taiwan)

Keywords:Space Weather, Data Assimilation, Radio Occultation

In this study, an ionospheric data assimilation approach is presented based on the Gauss-Markov Kalman filter with IRI (International Reference Ionosphere) as the background model and designed to assimilate the total electron content (TEC) observed from ground-based GPS receivers and space-based radio occultation of FORMOSAT-3/COSMIC (F3/C) or FORMOSAT-7/COSMIC-2 (F7/C2). The Kalman filter consists of the forecast step according to Gauss-Markov process and the measurement update step. Observing System Simulation Experiments (OSSEs) show that the Gauss-Markov Kalman filter procedure can improve the accuracy of the data assimilation analysis over the procedure consisting of the measurement update step alone. Comparing to F3/C, the dense F7/C2 occultation observation further improves the model accuracy significantly. Validating the data assimilation results with GIMs (Global Ionosphere Maps), the vertical TECs from global ground-based GPS measurements, and the ionospheric F2-peak height and electron density sounded by ionosondes are carried out. Both the OSSE results and the observation validations confirm that the developed data assimilation model can be used to reconstruct the three-dimensional electron density in the ionosphere satisfactorily.