Distinguishing Trends and Shifts from Memory in Climate Data
Distinguishing Trends and Shifts from Memory in Climate Data is a scholarly work, published in 2018 in ''Journal of Climate''. The main subjects of the publication include climatology, autocorrelation, climate change, white noise, climate model, global warming, time series, regime shift, environmental science, hiatus, series, econophysics, change detection, and computer science. The authors propose an approach tailored to distinguish these different modes of change by fitting a series of models and selecting the most suitable one according to an information criterion.