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基于ISIMIP3b的中国西南河流域降水变化的差异

Yunkai Zhang¹, Juan Du², Yibo Ding^1,3

¹State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource & Hydropower, Sichuan University, No. 24 South Section 1, Yihuan Road, Chengdu, 610065, China.

Scientific reports

|September 28, 2024

概括

全球气候模型 (GCM) 经常高估了中国西南河流盆地 (SWRB) 的降水量及其度趋势. 这项研究强调了模拟降水变化的局限性,影响了水资源管理.

科学领域:

气候科学气候科学
水文学的水文学
环境建模环境建模

背景情况:

全球气候模型 (GCM) 对区域气候预测至关重要,但它们在模拟降水模式方面的准确性需要仔细评估.
之前的研究集中在年度和季节性降水,但了解降水度对于水资源管理至关重要.

研究的目的:

评估来自ISIMIP3b的五个GCM在模拟中国西南河流盆地 (SWRB) 的降水度及其变化的性能.
确定GCM在捕捉降水量,趋势和十年间变化方面的优缺点.

主要方法:

利用了来自跨部门影响模型相互比较项目的第3b阶段 (ISIMIP3b) 的五个GCM.
使用降水度指数 (PCI) 来评估降水度及其变化.
分析了西南河流盆地 (SWRB) 的年度和季节性降水数据.

主要成果:

总体而言,GCM捕获了空间降水分布,但高估了SWRB中的大小和干燥趋势.
模型显示模拟十年间降水变化和PCI趋势的局限性.
季节性降水模拟不同,秋季表现最好,冬季表现最差,影响了PCI的代表性.

结论:

评估的GCM显示,SWRB的降水量和干燥趋势存在严重的高估.
GCM模拟降水度指数 (PCI) 趋势和十年间变化的能力有限.
调查结果强调需要改进GCM,以便在SWRB中进行精确的水文研究和水资源管理.

关键词:

进行比较评估.这就是ISIMIP3bb.降水变化降水变化降水度指数降水度指数西南河流盆地河流盆地

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