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Temporal and spatial variations of global ionospheric total electron content under various solar conditions
Authors:Jingbin Liu  Manuel Hernandez-Pajares  Xinlian Liang  Jiachun An  Zemin Wang  Ruizhi Chen  Wei Sun  Juha Hyyppä
Institution:1.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University,Wuhan,China;2.Department of Remote Sensing and Photogrammetry, Center of Excellence in Laser Scanning Research,Finnish Geospatial Research Institute,Masala,Finland;3.Department of Applied Mathematics IV,Technical University of Catalonia, UPC-IonSAT,Barcelona,Spain;4.Chinese Antarctic Center of Surveying and Mapping,Wuhan University,Wuhan,China;5.Wuhan Geomatics Institute,Wuhan,China
Abstract:By utilizing the numerical technique of principal component analysis (PCA), this work analyses temporal and spatial variations of the ionosphere under various solar conditions during the period 1999–2013. Applying the PCA technique to the time series of the global ionospheric total electron content (TEC) maps provides an efficient method for analyzing the main ionospheric variability on a global scale that is able to decompose periodic variations (e.g., annual and semiannual oscillations) while retaining the asymmetry in the temporal and spatial domains (e.g., seasonal and equator anomalies). The TEC series of different local times are processed separately at two time scales: (1) the whole 15 years of the period of study and (2) the individual years. In contrast with previous studies, the analysis of the dataset of the 15 years shows that dawn (e.g., LT4–6) and late morning (LT10–12) are the more remarkable characteristic times for ionospheric variability. This study also reveals a cyclic trend of the variability with respect to local times. The first two modes, which contain 80–90% of the total variance, represent spatial distributions and temporal variations with respect to the different stages of the solar cycle and local times. Annual and semiannual variations are demodulated from the first two modes, and the results show that these variations evidently have distinct trends for daytime and nighttime. An exception is that, under active solar conditions, extremely strong solar irradiance during the daytime has a residual effect on the variability of the nighttime.
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