Atmospheric measurement techniques • Vol 8 • No 1
Ionospheric assimilation of radio occultation and ground-based GPS data using non-stationary background model error covariance
January 2015 • C. Y. Lin, Tomoko Matsuo, Jann‐Yenq Liu, Chien‐Hung Lin, H. F. Tsai, E. A. Araujo‐Pradere
Abstract. Ionospheric data assimilation is a powerful approach to reconstruct the 3-D distribution of the ionospheric electron density from various types of observations. We present a data assimilation model for the ionosphere, based on the Gauss–Markov Kalman filter with the International Reference Ionosphere (IRI) as the background model, to assimilate two different types of slant total electron content (TEC) observations from ground-based GPS and space-based FORMOSAT-3/COSMIC (F3/C) radio occultation. Covarianc…