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基于CMIP6的青藏高原未来极端降水风险定量化预估OA

Quantitative assessment of future extreme precipitation risks over the Qinghai-Xizang Plateau based on CMIP6

中文摘要英文摘要

利用1979-2014年青藏高原109个气象站的逐日降水观测数据和CMIP6模式模拟数据,选用通用的4个极端降水指数,通过泰勒图评估CMIP6单一模式及多模式集合对青藏高原夏季极端降水指数的模拟能力,并对SSP2-4.5情景下近期(2026-2060年)和远期(2071-2100年)青藏高原夏季极端降水特征、致灾危险性、综合风险及其对GDP和人口的可能影响进行未来预估.结果表明:气候模式在对各极端降水指数的模拟之间存在较大的差异,MRI-ESM2-0模式在青藏高原地区对极端降水指数的模拟能力最好;从21世纪近期到远期,SSP2-4.5排放情景下青藏高原各区域极端降水指数距平值整体变化量大小关系为:川藏高山峡谷>祁连山区>藏南谷地>青南高原>柴达木盆地>藏北高原,各极端降水指数变化量为:SDII>R95P>RX5days>P95T,整体均表现为增长,各极端指数距平值在青藏高原南部偏高,除P95T外,藏南谷地各极端指数高值区的累积频率明显较其他区域偏高;夏季极端降水致灾危险性较高的区域集中在青藏高原的南部,至21世纪远期致灾高风险区范围明显扩大,两个时期致灾高风险区分别占青藏高原总面积的7.8%、17.7%,未来青藏高原GDP呈持续增加的趋势,人口分布总体表现为略微减少,随着青藏高原夏季降水极端性的加剧和社会经济脆弱性的提升,基于GDP和人口的极端降水风险在青藏高原东南部逐渐升高,高风险区可能影响的GDP、人口数量最多的区域分别是祁连山区和青南高原.

Using Taylor diagrams,this study evaluates the performance of individual CMIP6 models and multi-model ensembles for simulating summer extreme precipitation indexes over the Qinghai-Xizang Plateau.The evaluation was performed using four internationally recognized extreme precipitation indexes based on daily pre-cipitation observation data from 109 meteorological stations on the plateau between 1979 and 2014 and CMIP6 model simulation data.In addition,this study provides future projections for the characteristics of summer ex-treme precipitation,disaster risk potential,comprehensive risk,and their potential impacts on gross domestic product(GDP)and population under the SSP2-4.5 scenario for both the near-term(2026-2060)and long-term(2071-2100)periods on the Qinghai-Xizang Plateau.Climate modes exhibit significant differences in simulating various extreme precipitation indexes;however,the MRI-ESM2-0 model exhibits the best performance for simu-lating extreme precipitation indexes in plateau areas.From the short-to long-term period of the 21st century under the SSP2-4.5 emission scenario,the overall relationship between the magnitude of extreme precipitation index anomalies in various regions of the plateau is as follows:the Sichuan-Qinghai-Xizang high mountain canyon>Qil-ian Mountains>Zangnan Valley>Qingnan Plateau>Qaidam Basin>northern Tibetan Plateau.The magnitude of ex-treme precipitation index variations is SDII>R95P>RX5days>P95T,indicating an overall increasing trend.The anomaly values of extreme indexes are higher in the southern region of the plateau;furthermore,except for P95T,the cumulative frequency of high extreme indexes is significantly higher in the Zangnan Valley than in other re-gions.On the plateau,high-risk areas for extreme summer precipitation are concentrated in the southern region,and the scope of high-risk areas for disasters is projected to significantly expand in the long-term periods of the 21st century.The high-risk areas for disasters in the short-and long-term periods account for 7.8%and 17.7%of the total area of the plateau,respectively.Future projections indicate a continuous increase in the GDP of the pla-teau and a slight decrease in its overall population distribution.With intensifying extreme summer precipitation and increasing socioeconomic vulnerability,GDP-and population-based extreme precipitation risks will gradually increase in the southeastern region of the plateau.The Qilian Mountains and the Qingnan Plateau represent the ar-eas with the highest GDP and population,respectively,that are most exposed to these risks.

余迪;段丽君;刘鹏;王紫文;李万志;董少睿

青海省气候中心,青海 西宁 810001||青海省防灾减灾重点实验室,青海 西宁 810001青海省气候中心,青海 西宁 810001||青海省防灾减灾重点实验室,青海 西宁 810001青海省气候中心,青海 西宁 810001||青海省防灾减灾重点实验室,青海 西宁 810001青海省气候中心,青海 西宁 810001||青海省防灾减灾重点实验室,青海 西宁 810001青海省气候中心,青海 西宁 810001||青海省防灾减灾重点实验室,青海 西宁 810001青海省气候中心,青海 西宁 810001||青海省防灾减灾重点实验室,青海 西宁 810001

青藏高原CMIP6气候模式评估气候变化风险预估极端降水风险

Qinghai-Xizang PlateauCMIP6climate model assessmentclimate changerisk estimationex-treme precipitation risk

《干旱区研究》 2026 (10)

2070-2081,12

青海省科技厅基础研究计划(2023-ZJ-726)青海省气象局科研项目(QXTD2026-2)

10.13866/j.azr.2026.10.04

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