Projecting Climate Trends of Southwest Coastal Bangladesh under Global Climate Scenarios

Authors

  • Nasirul Haque British American Tobacco Bangladesh
  • Salma Noor University of Houston
  • Krishna Prosad Mondal Jahangirnagar University
  • Shihab Ahmed Shahriar University of Houston
  • Shahriar Md. Arifur Rahman University of Idaho
  • Rajsree Das Tuli The University of Oklahoma

DOI:

https://doi.org/10.59185/jgs.v1i1.269

Keywords:

Climate Model, Regional Scale, Downscaling, SDSM, GCM, RCP

Abstract

Southwest coastal Bangladesh, situated within the Ganges-Brahmaputra-Meghna delta, is one of the world’s most climate-vulnerable areas, confronting elevated sea levels, saline intrusion, tidal inundation, and cyclonic storms that threaten crops and livelihoods. Understanding long-term climatic patterns in this area is essential for developing localized adaptation and management solutions. This study aims to examine historical and projected patterns in temperature and precipitation to evaluate probable future climatic conditions under global climate scenarios. Future climate projections for the Khulna Division in the southwest part of Bangladesh using a statistical downscaling approach based on multiple Representative Concentration Pathways (2.5, 4.5, and 8.5) and Special Report on Emission Scenarios (SRES A2 and A1B). A Statistical Downscaling Model (SDSM) was used to downscale two Global Circulation Models (GCMs) viz CanESM2 and CGCM3. The models were evaluated against observed minimum and maximum temperature and precipitation data for the 30-year period 1987-2017. In addition, the downscaled climate variables were subjected to bias correction. During model calibration using NCEP predictors, the explained variances for CanESM2 and CGCM3 were 92.3% and 78% for Tmax, 28.02% and 45.36% for Tmin, and 9.28% and 10.11% for precipitation. The average R2 values during validation ranged from 0.82 to 0.89 for Tmax, 0.61 to 0.88 for Tmin, and 0.32 to 0.47 for precipitation. These results indicate good applicability of SDSM for downscaling daily minimum and maximum temperature and precipitation under different scenarios for future periods in the 2020s, 2050s, and 2080s. For CanESM2, changes in minimum annual temperature are projected to increase by 0.45°C, 0.46°C, and 0.63°C by 2080 for RCP 2.6, RCP 4.5 and RCP 8.5 scenarios, respectively. CGCM3 projected a maximum temperature increase of 0.32°C and 0.31°C by 2080 under the SRES A2 and A1B scenarios, respectively. Precipitation is projected to increase 0.46mm, 0.71mm and 1.28mm for RCP 2.6, RCP 4.5 and RCP 8.5, respectively, by the end of this century and 0.77mm and 0.87mm under the A1B and A2 scenarios, respectively, for the same period.

Author Biographies

Nasirul Haque, British American Tobacco Bangladesh

Assistant Leaf Officer, Jhenaidah-7300, Bangladesh

Salma Noor, University of Houston

PhD Candidate, Department of Earth and Atmospheric Sciences, Houston, USA  

Krishna Prosad Mondal, Jahangirnagar University

IT Officer (Geospatial Analyst), Institute of Remote Sensing and GIS, Dhaka-1342, Bangladesh

Shihab Ahmed Shahriar, University of Houston

PhD Candidate, Department of Earth and Atmospheric Sciences, Houston, USA  

Shahriar Md. Arifur Rahman, University of Idaho

PhD Candidate, Environmental Sciences, Idaho, USA

Rajsree Das Tuli, The University of Oklahoma

Graduate Assistant, Department of Geography and Environmental Sustainability, Norman, USA  

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Published

2025-06-30

Issue

Section

Articles