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EXTRACTION OF COMMON MODE ERRORS FOR CONTINUOUS GPS NETWORKS AND DEFORMATION ANALYSIS

How to reduce the common mode errors of the time coordinate series is important for the extraction of crustal deformation.The use of principal component analysis and Karhunen-Loeve expansion approaches can reduce the common mode errors of the time coordinate series.We apply the combination of PCA and KLE to analyze the daily time coordinate series of the six stations of Southern California Integrated GPS Network for about five years,and we demonstrate that those stations all contain the common mode errors.The root mean squares of the time coordinate series are significantly reduced by reducing the common mode errors,thereby improving the accuracy of deformation analysis.