The Spatiotemporal Clustering of Short‐Duration Rainstorms in Shanghai City Using a Sub‐Hourly Gauge Network

The Spatiotemporal Clustering of Short‐Duration Rainstorms in Shanghai City Using a Sub‐Hourly Gauge Network

Abstract Impacted by both the large‐scale climate change and the local hydrometeorological atmosphere, the spatiotemporal structure and properties of short‐duration extreme rainfall events in urban areas remain a complex issue. This study explores the spatiotemporal pattern variability of short‐dura...

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Bibliographic Details
Main Authors: Nuo Lei, Lisha Gao, Shuguang Liu, Zhengzheng Zhou
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-03-01
Series:Earth and Space Science
Subjects:
short‐duration rainstorm
spatial‐temporal characteristic
hierarchical clustering
urban areas
spatiotemporal process
Online Access:https://doi.org/10.1029/2023EA003442

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