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全球次日降水指数 (GSDR-I) 的基于观察的数据集
David Pritchard1, Elizabeth Lewis2, Stephen Blenkinsop2
1Newcastle University, Newcastle upon Tyne, UK. david.pritchard@newcastle.ac.uk.
Scientific data
|June 22, 2023
概括
现在可以获得一套新的全球次日降水指数数据集,为改善风险管理和气候模型评估提供了对极端天气事件和气候变化的关键见解.
科学领域:
- 气候科学 气候科学
- 水文学的水文学
- 环境科学 环境科学
背景情况:
- 每日降水指数是为气候变化检测而建立的.
- 了解每天下降的变化和极端情况对于气候科学和风险管理来说越来越重要.
- 缺乏统一的每日下雨数据集阻碍了研究.
研究的目的:
- 为了呈现一个新的全球数据集的次日降水指数.
- 为分析降水强度,持续时间和频率提供全面的资源.
- 支持气候变化研究,风险评估和气候模型评估.
主要方法:
- 编制了一个独特的全球数据库,包含18591个时序.
- 广泛的数据收集和严格的质量控制程序.
- 计算分日降水指数,描述强度,持续时间和频率.
主要成果:
- 现在可以获得一套新的全球日下降量指数数据集.
- 数据集包括个别标尺位置的索引和一个网格产品.
- 这些指数描述了每天下降的变化和极端情况.
结论:
- 新的数据集解决了日下降雨分析中的一个关键差距.
- 它将促进气候变化理解和风险管理方面的进步.
- 这些数据对气候模型评估和洪水风险评估有价值.
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