High-resolution climate models improve simulation of monsoon rainfall changes in the Ganga-Brahmaputra-Meghna basin.

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Climate Dynamics Pub Date : 2025-01-01 Epub Date: 2025-06-06 DOI:10.1007/s00382-025-07716-6
Haider Ali, Hayley J Fowler, Andrew G Turner
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引用次数: 0

Abstract

This study investigates the impact of model resolution on simulating South Asian monsoon rainfall, focusing on the Ganges-Brahmaputra-Meghna (GBM) basin. By comparing high- and low-resolution versions of four CMIP6 HighResMIP model families against reference datasets (MSWEP and ERA5), we emphasize the advantages of high-resolution models in accurately simulating key monsoon characteristics, including annual rainfall, timing, intensity, and duration. Our results show that the high-resolution models align more closely with observed data, outperforming their low-resolution counterparts. Between 1979 and 2014, the high-resolution model ensemble (HR-models) captures key shifts in monsoon timing, such as delayed onset and withdrawal, leading to a slight increase in monsoon duration. In contrast, the low-resolution ensemble (LR-models) showed more pronounced delays in onset. The observational datasets, MSWEP and ERA5, indicate earlier (7 ± 3 days) and later (3 ± 1.2 days) onsets, respectively, with both showing delays in withdrawal, indicating extended monsoon duration. Notably, the increase in monsoon duration is more pronounced in MSWEP observations than in the model simulations, particularly for LR-models. Regarding rainfall trends, the HR-models more accurately reflect observed changes in both total rainfall and extreme rainfall from 1979-2014 compared to LR-models. Future projections (2015-2050) indicate further delays in monsoon onset, with HR-models projecting larger increases in total rainfall and extreme events (up to 4.5%/decade for the 95th percentile of rainfall) compared to LR-models, which show smaller increases and higher variability in total and extreme rainfall. These findings highlight the critical role of model resolution in improving the accuracy of monsoon simulations, with HR models offering more reliable simulations of historical monsoon behaviour and therefore likely more robust projections of future monsoon behavior. These are essential for informed water management and agricultural decision-making over the complex topography of the GBM basin.

Supplementary information: The online version contains supplementary material available at 10.1007/s00382-025-07716-6.

高分辨率气候模式改进了恒河-雅鲁藏布江-梅克纳河流域季风降雨变化的模拟。
本文研究了模式分辨率对南亚季风降雨模拟的影响,重点研究了恒河-布拉马普特拉河-梅克纳河(GBM)流域。通过将4个CMIP6 HighResMIP模式家族的高分辨率和低分辨率版本与参考数据集(MSWEP和ERA5)进行比较,我们强调了高分辨率模式在准确模拟季风关键特征(包括年降雨量、时间、强度和持续时间)方面的优势。我们的研究结果表明,高分辨率模型与观测数据更接近,优于低分辨率模型。1979年至2014年间,高分辨率模式集(HR-models)捕获了季风时间的关键变化,如延迟开始和停止,导致季风持续时间略有增加。相比之下,低分辨率集合(lr -模型)表现出更明显的开始延迟。MSWEP和ERA5观测资料分别显示较早(7±3天)和较晚(3±1.2天)的季风开始,且均显示季风消退延迟,表明季风持续时间延长。值得注意的是,季风持续时间的增加在MSWEP观测中比在模式模拟中更为明显,特别是在lr模式中。在降水趋势方面,与lr模式相比,hr模式更准确地反映了1979-2014年观测到的总降雨量和极端降雨量的变化。未来预测(2015-2050年)表明季风的发生将进一步推迟,与lr模式相比,hr模式预测总降雨量和极端事件的增加幅度更大(降雨量的第95百分位高达4.5%/ 10年),而lr模式显示总降雨量和极端降雨量的增加幅度较小,变化率更高。这些发现强调了模式分辨率在提高季风模拟精度方面的关键作用,HR模式提供了更可靠的历史季风行为模拟,因此可能对未来季风行为进行更可靠的预测。这对于在GBM盆地复杂地形上进行明智的水资源管理和农业决策至关重要。补充信息:在线版本包含补充资料,可在10.1007/s00382-025-07716-6获得。
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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来源期刊
Climate Dynamics
Climate Dynamics 地学-气象与大气科学
CiteScore
8.80
自引率
15.20%
发文量
483
审稿时长
2-4 weeks
期刊介绍: The international journal Climate Dynamics provides for the publication of high-quality research on all aspects of the dynamics of the global climate system. Coverage includes original paleoclimatic, diagnostic, analytical and numerical modeling research on the structure and behavior of the atmosphere, oceans, cryosphere, biomass and land surface as interacting components of the dynamics of global climate. Contributions are focused on selected aspects of climate dynamics on particular scales of space or time. The journal also publishes reviews and papers emphasizing an integrated view of the physical and biogeochemical processes governing climate and climate change.
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