Spatiotemporal changes in temperature projections over Bangladesh using multi-model ensemble data

Temperature rise is a concern for future agriculture in different regions of the globe. This study aimed to reveal changes and variabilities minimum temperature (Tmin) maximum (Tmax) monthly, seasonal, annual scale over Bangladesh using 40 General Circulation Models (GCMs) Coupled Model Intercomparison Project Phase 5 (CMIP5) two radiative concentration pathways (RCPs, RCP4.5 RCP8.5). The statistical downscaling climate model (SimCLIM) was used ensemble projections (Tmax Tmin) near (2021–2060) far (2071–2100) periods compared base period (1986–2005). Multi-model (MME) exhibited increasing Tmax Tmin all timescales RCPs. Sen’s slope (SS) analysis showed highest increase February relatively less July August. mean would by 0.61°C 1.75°C 0.91°C 3.85°C future, while 0.65°C 1.85°C 0.96°C 4.07°C RCP8.5, respectively. northern northwestern parts country experience Tmin, which have traditionally been exposed extremes. In contrast, southeastern coastal region least temperature. A higher than detected timescales, signifying decrease diurnal range (DTR). will be winter other seasons both spatial variability can useful long-term planning country.