Multisource data analysis for geoscience applications ?
A program has been written in MATLAB for the integration of several time series from multiple sources. The program implements a statistical procedure that has been designed in two steps: the first step estimates a common-mode harmonic signal using a least-squares model while the second step validates the solution through a series of statistical tests. A modest contribution focuses on the special problem of detecting common-mode harmonic seasonal variations in the baseline solution vectors derived by co-located space geodetic techniques. This does not, however, confine the procedure from being extended to other measurements or similar systems. For example, other potential application areas include multi-proxy data analysis for paleoclimate research, tidal analysis for oceanography studies, multisensor data analysis for on-line structural monitoring and other geotechnical engineering studies.
time series seasonal variations paleoclimate oceanography space geodesy