Evaluation and projection of extreme precipitation using CMIP6 model simulations in the Yellow River Basin

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-04-16 DOI:10.2166/wcc.2024.696
Heng Xiao, Yue Zhuo, Peng Jiang, Yan Zhao, Kaiwen Pang, Xiuyu Zhang
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Abstract

The capabilities of 23 global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 were evaluated for six extreme precipitation indices from 1961 to 2010 using interannual variability and Taylor skill scores in the Yellow River Basin and its eight subregions. The temporal variations and spatial distributions of extreme precipitation indices were projected from 2021 to 2050 under the shared socioeconomic pathway scenarios (SSP2–4.5 and SSP5–8.5). The results show that most GCMs perform well in simulating extreme values (1-day maximum precipitation (RX1day) and 5-day maximum precipitation (RX5day)), duration (consecutive dry days), and intensity index (simple daily intensity index (SDII)), and perform poor in simulating the threshold indices (precipitation on very wet days (R95p) and number of heavy precipitation days (R10mm)). The projected changes in extreme precipitation indicate that under the SSP2-4.5 scenario, future extreme precipitation will increase by 15.7% (RX1day), 15.8% (RX5day), 30.3% (R95p), 1d (R10mm), and 6.6% (SDII), respectively, decrease by 2.1d (CDD). The aforementioned changes are further enhanced under the SSP5-8.5 scenario. Extreme precipitation changes widely in Hekou Town to Longmen, in the northeastern part of the region from Longmen to Sanmenxia, below Huayuankou, and in the interflow basin.
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利用 CMIP6 模型模拟评估和预测黄河流域极端降水量
利用黄河流域及其八个分区的年际变率和泰勒技能评分,对耦合模式相互比较项目第六阶段的 23 个全球气候模式(GCM)的能力进行了评估,评估了 1961 年至 2010 年的六个极端降水指数。在共同的社会经济路径情景(SSP2-4.5 和 SSP5-8.5)下,预测了 2021 年至 2050 年极端降水指数的时间变化和空间分布。结果表明,大多数 GCM 在模拟极端值(1 天最大降水量(RX1 天)和 5 天最大降水量(RX5 天))、持续时间(连续干旱天数)和强度指数(简单日强度指数(SDII))方面表现良好,而在模拟阈值指数(极湿日降水量(R95p)和强降水日数(R10mm))方面表现较差。极端降水量的预测变化表明,在 SSP2-4.5 情景下,未来极端降水量将分别增加 15.7%(RX1 天)、15.8%(RX5 天)、30.3%(R95p)、1d(R10mm)和 6.6%(SDII),减少 2.1d(CDD)。在 SSP5-8.5 情景下,上述变化进一步加剧。极端降水在河口镇至龙门、龙门至三门峡东北部、花园口以下及间流盆地变化较大。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊介绍: ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
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