Impact of Climate Change on Precipitation and Temperature Changes in the Northwest Region of Bangladesh Using SDSM: A Comparison of CanESM2 and HadCM3 Models

Md Masud Rana, Sajal Kumar Adhikary
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Abstract

Assessment of climate change-induced precipitation and temperature changes is crucial for the adaptive and sustainable management of water resources in a country. The objective of this study is to explore the impact of climate change on future precipitation and temperature changes in the northwest region of Bangladesh using the statistical downscaling model (SDSM). In this study, Rajshahi station is taken as the case study area, and two widely applied general circulation models (GCMs), namely the Canadian Earth System Model (CanESM2) and the Hadley Center Coupled Model (HadCM3), are used for the climate change analysis. The results demonstrate that after bias correction, the CanESM2-based downscaling model performs better compared to the HadCM3-based downscaling model. The bias-corrected models for both GCMs are then employed for the projection of future precipitation and temperatures for the 2040s and 2090s, considering climate change scenarios. The precipitation trend is found to be negative for both GCMs in all scenarios. Considering the worst climate change scenarios for both GCMs (i.e., the RCP8.5 scenario in the CanESM2 and the A2 scenario in the HadCM3), the mean annual precipitation will be decreased by 9.3% and 4.5% in the 2040s and 12.1% and 4.1% in the 2090s. Furthermore, the mean annual maximum temperature will be increased by 0.233°C and 0.245°C in the 2040s and 0.468°C and 0.633°C in the 2090s, whereas the mean annual minimum temperature will be increased by 0.394°C and 0.188°C in the 2040s and 0.394°C and 0.357°C in the 2090s. Thus, the current study comes to the conclusion that decreased precipitation and increased temperatures will have an effect on the water resources in the study region, leading to a reduction in the overall supply of surface water and groundwater storage. It is expected that the study findings will help water managers and policymakers in developing a framework for sustainable and adaptive water management in the face of climate change. Journal of Engineering Science 14(2), 2023, 127-136
利用 SDSM 分析气候变化对孟加拉国西北地区降水和气温变化的影响:CanESM2 与 HadCM3 模型的比较
评估气候变化引起的降水和气温变化对一个国家水资源的适应性和可持续管理至关重要。本研究旨在利用统计降尺度模型(SDSM)探讨气候变化对孟加拉国西北部地区未来降水和气温变化的影响。本研究以拉杰沙希站为案例研究区,采用两种广泛应用的大气环流模式(GCM),即加拿大地球系统模式(CanESM2)和哈德利中心耦合模式(HadCM3)进行气候变化分析。结果表明,经过偏差校正后,基于 CanESM2 的降尺度模式比基于 HadCM3 的降尺度模式表现更好。然后,在考虑气候变化情景的情况下,使用这两个 GCM 的偏差校正模型预测 2040 年代和 2090 年代的未来降水和气温。结果发现,在所有情景下,两个大气环流模型的降水趋势都是负的。考虑到两个 GCM 最坏的气候变化情景(即 CanESM2 的 RCP8.5 情景和 HadCM3 的 A2 情景),2040 年代的年平均降水量将分别减少 9.3% 和 4.5%,2090 年代的年平均降水量将分别减少 12.1% 和 4.1%。此外,年平均最高气温在 2040 年代将分别升高 0.233°C 和 0.245°C,在 2090 年代将分别升高 0.468°C 和 0.633°C,而年平均最低气温在 2040 年代将分别升高 0.394°C 和 0.188°C,在 2090 年代将分别升高 0.394°C 和 0.357°C。因此,本次研究得出的结论是,降水减少和气温升高将对研究区域的水资源产生影响,导致地表水和地下水存储的总体供应量减少。预计研究结果将有助于水资源管理者和决策者制定面对气候变化的可持续和适应性水资源管理框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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