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EOF analysis and modeling of GPS TEC climatology over North America
Author(s) -
Chen Ziwei,
Zhang ShunRong,
Coster Anthea J.,
Fang Guangyou
Publication year - 2015
Publication title -
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
eISSN - 2169-9402
pISSN - 2169-9380
DOI - 10.1002/2014ja020837
Subject(s) - empirical orthogonal functions , tec , total electron content , anomaly (physics) , principal component analysis , climatology , middle latitudes , spatial variability , environmental science , mode (computer interface) , geodesy , ionosphere , atmospheric sciences , geology , mathematics , statistics , geophysics , computer science , physics , condensed matter physics , operating system
An empirical ionospheric model of the total electron content (TEC) over North America (20°–60°N, 40°–140°W) is constructed using the GPS TEC data collected by Massachusetts Institute of Technology ( MIT) Haystack Observatory during the years 2001–2012. This model is based on an analysis of quiet time monthly averages using the empirical orthogonal function (EOF) decomposition technique, allowing for separation of spatial and temporal variations. The importance of different types of spatial‐temporal variations to the overall TEC variability can be well represented by the characteristics of EOF basis functions and associated principal components coefficients, with various modes. The mode one EOF decomposition constitutes 97.5% of the total variance and therefore represents the essential feature of North America spatial and diurnal variation of the TEC. The mode two EOF, as reported in an earlier study, reveals a large and significant symmetric longitudinal variation of the ionosphere, organized with respect to magnetic declination. The mode three EOF decomposition shows midlatitude latitudinal structure that varies with season in a manner very similar to the so‐called winter anomaly. Because of the quick convergence of EOF decomposition modes, the first four EOF modes are utilized for constructing a TEC empirical model. For each of the EOF modes, the temporal variations are expressed analytically in terms of local time, season, and solar activity, and the spatial variations by cubic‐spline functions. An analysis of accuracy and quality indicates that this regional empirical TEC model can reflect the majority of the quiet time monthly means, and represent characteristic temporal‐spatial variations in the North America.