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Lookup NU author(s): Dr David Pritchard, Dr Elizabeth Lewis, Dr Stephen Blenkinsop, Luis Patino Velasquez, Anna Whitford, Professor Hayley Fowler
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023, The Author(s). Precipitation indices based on daily gauge observations are well established, openly available and widely used to detect and understand climate change. However, in many areas of climate science and risk management, it has become increasingly important to understand precipitation characteristics, variability and extremes at shorter (sub-daily) durations. Yet, no unified dataset of sub-daily indices has previously been available, due in large part to the lesser availability of suitable observations. Following extensive efforts in data collection and quality control, this study presents a new global dataset of sub-daily precipitation indices calculated from a unique database of 18,591 gauge time series. Developed together with prospective users, the indices describe sub-daily precipitation variability and extremes in terms of intensity, duration and frequency properties. The indices are published for each gauge where possible, alongside a gridded data product based on all gauges. The dataset will be useful in many fields concerned with variability and extremes in the climate system, as well as in climate model evaluation and management of floods and other risks.
Author(s): Pritchard D, Lewis E, Blenkinsop S, Patino Velasquez L, Whitford A, Fowler HJ
Publication type: Article
Publication status: Published
Journal: Scientific Data
Year: 2023
Volume: 10
Online publication date: 22/06/2023
Acceptance date: 15/05/2023
Date deposited: 10/07/2023
ISSN (electronic): 2052-4463
Publisher: Springer Nature
URL: https://doi.org/10.1038/s41597-023-02238-4
DOI: 10.1038/s41597-023-02238-4
PubMed id: 37349333
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