five

Spatiotemporal rainfall pattern classification

收藏
Mendeley Data2026-04-18 收录
下载链接:
https://data.mendeley.com/datasets/p3dwwn6r43
下载链接
链接失效反馈
官方服务:
资源简介:
Characteristics of heavy rainfall disasters are strongly influenced by the spatiotemporal patterns as well as the amounts of rainfall. For example, the location and intensity of damage within a river basin and the pattern of damage (flooding from rivers, flooding from inland waters, sediment-related disasters, etc.) The data include a source code and sample data for classifying rainfall events based on spatiotemporal rainfall patterns. The classification method, which classifies rainfall events separately in terms of temporal and spatial aspects, can identify representative heavy rainfall patterns with characteristic hydrograph features, such as peak discharge. The classification method can be used to examine the impact of the spatiotemporal distribution of rainfall on the flood hydrologic response and discuss the reduction of the risks associated with heavy rainfall in any catchment.
创建时间:
2022-10-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作