Workshop 2017

Homogenization of the water vapour time series using the penalized maximal t test modified to account for first-order autoregressive noise


July 4, 2017 • 140 Views

Workshop 2017 - Tong Ning - A homogenization of the integrated water vapour (IWV) time series is necessary in order to obtain realistic and reliable climate signals. In this work, the time series of the differences between the GPS-derived IWV and the one obtained from the ERA-Interim model for over 100 global GPS stations were used for the homogenization. A statistical test, the penalized maximal t test modified to account for first-order autoregressive noise in time series (PMTred), was used to identify the possible mean shifts (changepoints) in the time series. Different tuning were carried out in the PMTred test in order to find the optimal set up for the data homogenization.

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