Spatiotemporal trends of temperature extremes in Bangladesh under changing climate using multi-statistical techniques

The rise in the frequency and magnitude of extreme temperature phenomena across globe has led to recurrent incidence global climate hazards, which have had severe effects on socioeconomic development. daily maximum minimum datasets 27 sites Bangladesh were used detect spatiotemporal trends extremes over during 1980–2017 based ten indices using multi-statistical modeling namely linear regression, Pearson correlation coefficient, factor analyses. Besides, mutation analyses Mann-Kendall test, Sen’s slope estimator, Pettit test employed show changing trend temperature. Results that except for warmest days, warm showed an increasing trend, mainly since 2000s, while growth rate was faster, response warming sensitive. cold demonstrated a reverse 2010s. Diurnal range (DTR) summer days (SU) increased implying rising speed max higher than min-temperature Bangladesh. de-trended fluctuation analysis (DFA) revealed continuous increase future days. probability distribution functions (PDF) evident variation curves recent decades compared past three decades. Besides night, DTR SU primarily control general study period. occurred before index, indicating more sensitive warming. recognized our research suggest elevated due may huge implications sustainable development forthcoming