Abstract
Climate change can significantly impact regional hydrology and human and animal lives. To develop accurate projections of climate change, hydrological models rely on reliable meteorological variables. Generally, a climate model is a computer-based mathematical program based on physics, fluid motion, thermodynamics, and chemistry equations that are used to develop future projections. This paper uses statistical downscale modeling (SDSM) to predict climate change in Bangladesh's northeastern region using rainfall and temperature data from 2001–2015. The study uses data from Dhaka, Mymenshing, Sylhet, Comilla, and Srimangal as a baseline for 2025, 2045, and 2065 climate changes. The study result indicates that Comilla experienced a 340.253 mm increase in maximum rainfall in 2065, while Srimangal experienced a 32.775 mm decrease in 2045. Dhaka experiences the highest mean annual temperature increase of 1.7426°C in 2065 and the lowest mean annual temperature increase of 1.6581°C, respectively. These maximum and minimum temperature characteristics impacting climatic degradation are found in 2065, indicating a potential threat to modern civilization compared to 2025 and 2045.
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