Detecting inhomogeneities in the Twentieth Century Reanalysis over the central United States

We use three statistical methods (Pettitt and Bai‐Perron tests and segmented regression) to detect abrupt shifts in multiple hydrometeorological variable mean and uncertainty fields over the central United States. For surface air temperature and precipitation, we use the Climate Research Unit (CRU) time series data set for comparison. We find that for warm‐season months, there is a consensus change point among all variables between 1940 and 1950, which is not substantiated by the CRU record.

Ferguson, C.R. and G. Villarini. “Detecting Inhomogeneities in the 20th-Century Reanalysis over the Central United States,” Journal of Geophysical Research, 117, D05123, 2012.