Abstract
Countries around the world have already been experiencing the repercussions of climate change. Bangladesh is cited as one of the most vulnerable countries among them. Due to the utmost contribution to the country’s economy and continuous exposure to climatic extremes, climate change scenarios for the largest division in the country, the Chittagong Division, have a major concern. This study analyzed the potential climatic changes by the downscaling approach for the Chittagong Division under Representative Concentration Pathways (RCPs) i.e., RCP 2.5, RCP 4.5 and RCP 8.5, and Special Report on Emission Scenarios (SRES) i.e., A2, A1B, and B2 scenarios. Statistical Downscaling Model (SDSM) was used for downscaling three General Circulation Models (GCMs) viz. HadCM3, CanESM2, and CGCM3. A quantitative approach was used for both calibration and validation, where the results indicated the suitability of SDSM for downscaling daily mean temperature and precipitation under different scenarios for three future time horizons, i.e., early-twenty-first, mid-twenty-first, and late-twenty-first century. Additionally, bias correction was applied to downscaled climate variables. The downscaled projection showed increasing trends in mean annual temperature and precipitation for all the scenarios by the end of the century. Under CanESM2, the highest increase in temperature and precipitation were projected as 1.1 °C and 1.7 mm for the RCP 8.5. On the other hand, the highest increase in temperature and precipitation were projected as 0.5 °C and 1.4 mm for the SRES scenario A2 under CGCM3 and HadCM3. The spatial distribution of projections shows that the southern coastal part of the division is marked by remarkable future changes. The downscaled pathways have set a basis for assessing the impacts of future climate change on different sectors for the Chittagong Division and other areas in the country.
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Availability of data and materials (data transparency)
The data that support the findings of this study are obtained from the Bangladesh Meteorological Department, Ministry of Defense of the Government of Bangladesh. However, the data are available on request from the corresponding author.
Code/Software availability
The software used was a freely available software tool.
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Acknowledgements
The authors would like to thank Ms. Salma Noor, Department of Environmental Science and Disaster Management, Noakhali Science and Technology University and Dr. Md. Abdul Mannan, Meteorologist, Bangladesh Meteorological Department, for their support during this study. We also appreciate two anonymous reviewers for their valuable efforts and constructive suggestions and comments for improving this manuscript.
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SAS: data curation; formal analysis; investigation; methodology; software; writing—original draft. MAMS: supervision; validation; visualization; review and editing. SMAR: conceptualization; data curation; formal analysis; funding acquisition; investigation; methodology; project administration; resources; software; supervision, writing—review and editing. All authors read and approved the final manuscript.
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Shahriar, S.A., Siddique, M.A.M. & Rahman, S.M.A. Climate change projection using statistical downscaling model over Chittagong Division, Bangladesh. Meteorol Atmos Phys 133, 1409–1427 (2021). https://doi.org/10.1007/s00703-021-00817-x
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DOI: https://doi.org/10.1007/s00703-021-00817-x