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GSDR: A Global Sub-Daily Rainfall Dataset
E. Lewis, H. Fowler, L. Alexander, R. Dunn, F. Mcclean, R. Barbero, S. Guerreiro, Xiaojian Li, S. Blenkinsop

GSDR: A Global Sub-Daily Rainfall Dataset

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

Extreme short-duration rainfall can cause devastating flooding that puts lives, infrastructure, and natural ecosystems at risk. It is therefore essential to understand how this type of extreme rainfall will change in a warmer world. A significant barrier to answering this question is the lack of sub-daily rainfall data available at the global scale. To this end, a global sub-daily rainfall dataset based on gauged observations has been collated. The dataset is highly variable in its spatial coverage, record length, completeness and, in its raw form, quality. This presents significant difficulties for many types of analyses. The dataset currently comprises 23 687 gauges with an average record length of 13 years. Apart from a few exceptions, the earliest records begin in the 1950s. The Global Sub-Daily Rainfall Dataset (GSDR) has wide applications, including improving our understanding of the nature and drivers of sub-daily rainfall extremes, improving and validating of high- resolution climate models, and developing a high-resolution gridded sub-daily rainfall dataset of indices.

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Document Information

Document Title GSDR: A Global Sub-Daily Rainfall Dataset
Author / Organization E. Lewis, H. Fowler, L. Alexander, R. Dunn, F. Mcclean, R. Barbero, S. Guerreiro, Xiaojian Li, S. Blenkinsop
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-60037
Original Source Link Visit Source Page on hal.science »