基于NEX-GDDP-CMIP6的内蒙古未来极端降水预估OA
Future Extreme Precipitation Estimation in Inner Mongolia Autonomous Region Based on NEX-GDDP-CMIP6
内蒙古作为中国北方重要的生态安全屏障,其横跨干旱、半干旱至半湿润区的独特地理气候条件,使得极端降水事件频发,易引发洪涝灾害、水资源失衡及生态系统扰动,对区域农牧业生产与社会经济稳定构成严重威胁.为更好地应对内蒙古未来的极端降水事件,基于NEX-GDDP-CMIP6的26个地球系统模式的模拟结果与中国再分析气象数据集CN05.1,评估Ensemble Median准确度,再探讨4种共享社会经济路径下21世纪早、中、晚期5个极端降水指数较历史基准期的时空变化特征,结果表明:①在未来预估期,4个干湿分区各极端降水指数均显著上升,且随温室气体排放量增加而上升趋势加剧,SSP5-8.5下增长最显著,同时,各分区极端降水指数上升速度差异显著,如Rx1day和Rx5day在各情景下上升最快区域均为半湿润区,R10 mm、R20 mm、SDII在不同情景下上升最显著区域各有不同;②在历史基准期,各极端降水指数空间分布呈现"东多西少"格局,且干旱地区增长趋势最显著,反映出干旱区对气候变化的高敏感性;③不同模拟时期,极端降水指数整体随排放增加而上升,高排放情景下上升趋势更显著,且后期增幅大.研究结果表明,未来内蒙古或面临更频繁、严重的极端降水事件,对区域水资源管理与防洪减灾策略制定意义重大.
Serving as a vital ecological security barrier in northern China,Inner Mongolia encompasses arid,semi-arid,and semi-humid regions characterized by complex and diverse climatic conditions.This diversity increases the region's susceptibility to extreme precipitation events,which can lead to flooding,water resource imbalances,and disturbances to ecosystems.Such events present considerable risks to agricultural and pastoral production,as well as to broader socioeconomic development.To enhance preparedness for future extreme precipitation events,this study utilized simulation data from 26 Earth System Models under the NEX-GDDP-CMIP6 initiative,combined with the high-resolution Chinese meteorological reanalysis dataset CN05.1.The accuracy of the multi-model Ensemble Median was evaluated.Furthermore,the spatio-temporal variation characteristics of five extreme precipitation indices during the early,mid,and late 21st century under four shared socioeconomic pathways(SSPs)were investigated,in comparison with the historical reference period.Key findings are as follows:① During the future projection period(2015-2100),all extreme precipitation indices across the four aridity and humidity zones showed a significant increasing trend,with the magnitude of change closely correlated to greenhouse gas emission levels.The upward tendency intensified progressively under higher emission scenarios,becoming most pronounced under SSP5-8.5.Considerable spatial heterogeneity was observed in the rate of increase among different climatic zones.For instance,semi-humid zones consistently exhibited the fastest rise in Rx1day and Rx5day across all scenarios.In contrast,the regions with the most significant increases in R10 mm,R20 mm,and SDII varied depending on the scenario,shifting among arid,semi-arid,and semi-humid zones under different SSPs.These differential responses highlight regional disparities in climate sensitivity and underscore the critical influence of emission levels on the intensity and spatial distribution of future extreme precipitation events.② During the historical reference period,the spatial distribution of all extreme precipitation indices exhibited a distinct east-west gradient,with higher values consistently observed in the eastern regions and lower values in the west.Notably,the most significant upward trend in these indices occurred in arid regions,highlighting their particular vulnerability to climatic shifts.Throughout all future simulation periods,a consistent pattern emerged:as emission levels rose,so did the magnitude of extreme precipitation indices.This trend was markedly more pronounced under high-emission scenarios,with the most substantial increases projected for the late 21st century.The amplified response in arid zones underscores their heightened sensitivity to climate change and suggests an accelerating risk of extreme precipitation events in these regions under continued greenhouse gas forcing.The differential spatial and temporal patterns further emphasize the importance of considering region-specific vulnerabilities in climate adaptation planning.③ Across different simulation periods,extreme precipitation indices show an overall increase with higher emissions,with more pronounced trends under high-emission scenarios and greater magnitudes of increase in the later periods.The research results indicate that Inner Mongolia may face more frequent and severe extreme precipitation events in the future,which is of great significance for the formulation of regional water resources management,flood control,and disaster reduction strategies.
李肖菲凡;王云路;付洪浚;罗依梦;肖梓涵;陈丽;刘婷;崔歆雨
内蒙古和林格尔县气象局,内蒙古 呼和浩特 011599鄂尔多斯市东胜区气象局,内蒙古 鄂尔多斯 017099连山气象局,广东 清远 513299射洪市气象局,四川 遂宁 629200成都信息工程大学,四川 成都 610225鄂尔多斯市东胜区气象局,内蒙古 鄂尔多斯 017099鄂尔多斯市东胜区气象局,内蒙古 鄂尔多斯 017099鄂尔多斯市东胜区气象局,内蒙古 鄂尔多斯 017099
建筑与水利
极端降水指数CMIP6共享社会经济路径气候变化未来预估
extreme precipitation indexCMIP6shared socioeconomic pathwayclimate changefuture projection
《人民珠江》 2026 (3)
54-66,13
内蒙古自治区自然科学基金项目(2024LHMS04014)内蒙古自治区气象局科技创新项目(nmqxkjcx202426、nmqxkjcx202443)鄂尔多斯市气象局自立科技创新项目(ORDOSQX202401)
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