Multifractal Features and Dynamical Thresholds of Temperature Extremes in Bangladesh

Multifractal detrended fluctuation analysis (DFA) can extract multi-scaling behavior and measure long-range correlations in climatic time series. In this study, with the help of multifractal DFA, we investigated scaling daily minimum/maximum temperatures during years 1989–2019 from 34 meteorological stations Bangladesh. We revealed spatial patterns, topographic impacts global warming embedded small large fluctuations temperature Meanwhile, developed a DFA-based algorithm to dynamically determine thresholds discriminate extreme non-extreme events climate systems applied it analyze frequency trends extremes Compared widely-used percentile thresholds, captured our are more reliable since they determined by system itself.