青海-西藏高原降雨强度-持续-频率曲线的网格数据集
Zhihui Ren1,2, Yan-Fang Sang3,4,5,6, Peng Cui2,7
1Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Scientific data
|January 3, 2025
概括
本研究介绍了青海西藏高原降雨强度-持续-频率曲线 (QTPPIDFC) 数据集,这是该地区极端降雨估计的第一个网格数据集. 它有助于水文气象风险管理和QTP的工程设计.
科学领域:
- 水文和大气科学 气象学和大气科学
- 地理空间数据科学数据科学
背景情况:
- 青海-西藏高原 (QTP) 面临着破坏性的暴雨风暴和自然灾害的危险.
- 精确估计极端降水特征对于QTP的风险管理和工程设计至关重要.
研究的目的:
- 介绍青海-西藏高原降雨强度-持续-频率曲线 (QTPPIDFC) 数据集.
- 提供一个新的网格数据集,用于估计QTP的极端降水量.
主要方法:
- 来自203个气象站的年度最大降水数据使用通用极端值分布来估计现场强度-持续-频率 (IDF) 曲线.
- 主要组件分析确定了IDF曲线的东南-西北空间模式,第一个组件解释了96%的差异.
- 一个随机的森林模型,使用地理和气候变量,进行空间插值以生成网格IDF曲线.
主要成果:
- QTPPIDFC数据集提供持续时间为1-24小时的降水信息和5-100年的回归周期.
- 1/30°的空间分辨率提供了QTP的详细覆盖.
- 该数据集捕捉了整个高原极端降水特征的空间变化.
结论:
- QTPPIDFC数据集是首个专门设计用于QTP极端降水估计的网格数据集.
- 这一数据集为该地区的水文气象风险管理和水力/水文工程设计提供了宝贵的资源.
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