Evaluation of nonlinear dynamic patterns of extreme precipitation and temperatures in central England during 1931–2019

Abstract Since climate change has altered extreme precipitation and temperature patterns, further study of these patterns is essential. The examination great significance to water engineers, resources management, hydrological studies. Accordingly, this explored the nonlinear dynamic their sources governing temperatures using multifractal, shuffling, surrogating techniques, indices. data regarding central England (1931–2019) were collected used for analysis. results indices demonstrated in area. Besides, multifractal analysis indicated that all indices’ time series characterized by multifractality. Despite fact multifractality maximum 1-day precipitation, minimum temperature, was predominantly produced correlation properties (long-range correlations between small large local fluctuations), characteristics warm nights due a probability density function (PDF) predominance. Moreover, diurnal range, 5-day cool nights, days identical extent PDF.