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基于CMIP6-HiCPC数据集的青藏高原东北部未来降水预估OA

Future Precipitation Projection over Northeastern Qinghai-Xizang Plateau Plateau Based on CMIP6-HiCPC Dataset

中文摘要英文摘要

青藏高原东北部地处高原干旱与半干旱核心区,其降水变化对区域脆弱的生态系统和水资源安全至关重要,在全球变暖背景下,精准预估该区域未来降水趋势极为必要.以1979-2014年观测降水为基准态,系统评估了19个CMIP6(Coupled Model Intercomparison Project Phase 6)模式对青藏高原东北部年和季节平均降水的模拟能力,并基于多模式集合(Multi-Model Ensemble,MME)预估了未来多情景下的降水变化以及分析预估的不确定性.评估结果表明,MME能够有效地模拟出研究区域的降水从东南向西北减少的空间分布特征.然而,模式模拟普遍存在偏差,所有模式的年降水均值模拟结果均低于观测值,平均相对偏差约为28%.基于共享社会经济路径(Shared Socioeconomic Pathways,SSPs),预估了近期(2021-2040年)、中期(2041-2060年)和末期(2081-2100年)的降水变化,预估结果显示,在所有情景下,研究区域未来的年平均降水量均呈现波动增加的趋势.其中,在高排放情景(SSP5-8.5)下增幅最为显著,到21世纪末期,年降水量预计将增加25.6%.季节上,冬季降水的增幅最大,夏季增幅最小;空间上,降水增加最明显的区域主要集中在气候干旱的柴达木盆地等西北部地区,而南部地区降水增加幅度最小.信噪比分析进一步揭示,年与冬季降水变化的预估信号在大部分区域具有较高可信度,而夏季预估结果的不确定性最大.研究表明,未来青藏高原东北部的降水呈现出波动增加的趋势,其可为该脆弱区的水资源和生态适应决策提供科学支持.

The northeastern Qinghai-Xizang Plateau is located in the core arid and semi-arid region of the plateau.Its precipitation change is crucial for the region′s fragile ecosystem and water resource security.Against the backdrop of global warming,it is essential to accurately project future precipitation trends in this area.This region,forming a critical transition zone from humid to arid climates and encompassing the vast Qaidam Basin and Qilian Mountains,is one of the most sensitive areas on the plateau to climate change.Therefore,understanding its future hydroclimate evolution has profound implications for regional ecological stability and water management.This study systematically evaluated 19 Coupled Model Intercomparison Project Phase 6(CMIP6)models from the recently developed HiCPC high-resolution(0.1°)downscaled dataset,assessing their ability to simulate annual and seasonal mean precipitation over the northeastern Qinghai-Xizang Plateau against the China Meteorological Forcing Dataset(CMFD)for the 1979-2014 baseline period.Based on a multi-model ensemble(MME),we projected future precipitation changes under multiple scenarios and analyzed the associated uncertainties.The evaluation results indicate that the MME can effectively simulate the spatial distribution pattern of precipitation decreasing from southeast to northwest.However,general biases exist in the model simulations;the annual mean precipitation simulated by all models is lower than the observations,with an average relative bias of approximately 28%.Notably,while capturing the annual cycle′s peak in July,the MME systematically underestimates precipitation,particularly during the wet season in summer,where the largest absolute biases are observed.Based on the shared socioeconomic pathways(SSPs),this study projected precipitation changes for the near-term(2021-2040),mid-term(2041-2060),and long-term(2081-2100)period.The results show that future annual mean precipitation in the study area is projected to increase with fluctuations under all scenarios.The increase is most significant under the high-emission scenario(SSP5-8.5),with annual precipitation expected to increase by 25.6%by the end of the 21st century.Seasonally,precipitation in winter shows the largest increase,while in summer,the increase is the smallest.The relative increase in precipitation in winter is particularly stark,projected to rise by up to 75.1%by the late 21st century under the SSP5-8.5 scenario,highlighting a profound shift in seasonal water availability.Spatially,the most significant increases are concentrated in arid northwestern areas like the Qaidam Basin,whereas the southern regions exhibit the smallest increase.Signal-to-noise ratio analysis further reveals that the projected signals for annual and winter precipitation changes are highly credible in most areas,while the uncertainty in projections of summer is the greatest.The high uncertainty in projections of summer underscores the persistent challenges that climate models face in accurately simulating the complex interactions between the East Asian summer monsoon and the plateau′s unique topography.The study indicates a fluctuating increasing trend in future precipitation over the northeastern Qinghai-Xizang Plateau,providing scientific support for water resource and ecological adaptation decisions in this vulnerable region.This projected trend of increased precipitation in arid regions suggests a significant shift in the regional water cycle.The findings imply that while increased water availability could alleviate drought,it may also elevate the risks of floods and geohazards,necessitating the development of robust and nuanced adaptation strategies.

马龙云;李金建;沈诗荐;孙浩真;陈其航

复杂地形区域气候变化与资源利用四川省重点实验室,成都平原城市气象与环境四川省野外科学观测研究站,气象灾害预测预警四川省工程研究中心,成都信息工程大学大气科学学院,四川 成都 610225复杂地形区域气候变化与资源利用四川省重点实验室,成都平原城市气象与环境四川省野外科学观测研究站,气象灾害预测预警四川省工程研究中心,成都信息工程大学大气科学学院,四川 成都 610225复杂地形区域气候变化与资源利用四川省重点实验室,成都平原城市气象与环境四川省野外科学观测研究站,气象灾害预测预警四川省工程研究中心,成都信息工程大学大气科学学院,四川 成都 610225复杂地形区域气候变化与资源利用四川省重点实验室,成都平原城市气象与环境四川省野外科学观测研究站,气象灾害预测预警四川省工程研究中心,成都信息工程大学大气科学学院,四川 成都 610225复杂地形区域气候变化与资源利用四川省重点实验室,成都平原城市气象与环境四川省野外科学观测研究站,气象灾害预测预警四川省工程研究中心,成都信息工程大学大气科学学院,四川 成都 610225

建筑与水利

CMIP6模式平均降水模式评估未来预估青藏高原东北部

CMIP6 modelmean precipitationmodel evaluationprecipitation projectionNortheastern Qinghai-Xizang Plateau

《人民珠江》 2026 (4)

79-93,15

四川省科技教育联合基金面上项目(2024NSFSC1986)青海省科技计划项目(2025-ZJ-736)

10.3969/j.issn.1001-9235.2026.04.009

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