Spatial and temporal variation of total electron content as revealed by principal component analysis

Details Spatial and temporal variation of total electron content as revealed by principal component analysis Spatial and temporal variation of total electron content as revealed by principal component analysis

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010agufmsa33b1779z&link_type=abstract

American Geophysical Union, Fall Meeting 2010, abstract #SA33B-1779

Physics

[2435] Ionosphere / Ionospheric Disturbances, [2437] Ionosphere / Ionospheric Dynamics, [2439] Ionosphere / Ionospheric Irregularities, [2479] Ionosphere / Solar Radiation And Cosmic Ray Effects

Scientific paper

Eleven years of global total electron content (TEC) data are analyzed using empirical orthogonal function (EOF) decomposition and the corresponding principal component analysis (PCA) technique. For the daily averaged TEC field, the first EOF explains more than 89% and the first four EOFs explain more than 98% of the total variance of the TEC field, indicating an effective data compression and clear separation of different physical processes. The effectiveness of the PCA technique to TEC is nearly insensitive to the horizontal resolution and the length of the data records. When the PCA is applied to global TEC including local time variations, the rich spatial and temporal variations of field can be represented by the first three EOFs that explain 88% of the total variance. The spectral analysis of the time series of reveals how different mechanisms such as solar flux variation, change of the orbital declination, nonlinear mode coupling and geomagnetic activity are separated and expressed in different EOFs. This work demonstrates the usefulness of using PCA technique to assimilate and monitor the global TEC field.

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