Open AccessWhat Causes the Common‐Mode Error in Array GPS Displacement Fields: Case Study for Taiwan in Relation to Atmospheric Mass Loading
Author(s) -
Kumar Utpal,
Chao Benjamin Fong,
Chang Emmy T. Y.
Publication year - 2020
Publication title -
earth and space science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.843
H-Index - 23
ISSN - 2333-5084
DOI - 10.1029/2020ea001159
Subject(s) - global positioning system , geodesy , mode (computer interface) , empirical orthogonal functions , coherence (philosophical gambling strategy) , displacement (psychology) , environmental science , meteorology , geology , geography , statistics , climatology , mathematics , computer science , telecommunications , psychotherapist , operating system , psychology
We analyze 47 best‐quality, 10‐year‐long daily Global Positioning System (GPS) position time series of Taiwan, to understand the origin of the GPS's common‐mode error (CME) whose seasonality in the standard deviation evidences a meteorological origin. We employ the empirical orthogonal function analysis to efficiently extract the CME as the leading island‐wide mode for all three components (whereas the second mode relates to the El Niño Southern Oscillation). We find that the CME correlates well with the acquired variations in the atmospheric mass loading (AML) displacement field for Taiwan courtesy of NASA Goddard Space Flight Center for the vertical component with high coherence around 11–14 cycles per year. Further regression analysis shows that the maximum 90% of the non‐seasonal AML displacements in Taiwan are evident in the CME variations.