Spatial and temporal scaling of sub-daily extreme rainfall for data sparse places

Wilby, RL, Dawson, CW, Yu, D et al. (8 more authors) (2023) Spatial and temporal scaling of sub-daily extreme rainfall for data sparse places. Climate Dynamics, 60. pp. 3577-3596. ISSN 0930-7575

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Item Type: Article
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© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Regional climate downscaling; Extreme rainfall; Intensity-duration-frequency; Tropics; Flood
Dates:
  • Published: June 2023
  • Published (online): 15 October 2022
  • Accepted: 26 September 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
Funding Information:
Funder
Grant number
NERC (Natural Environment Research Council)
NE/M02038X/1
NERC (Natural Environment Research Council)
NE/M02038X/1
Depositing User: Symplectic Publications
Date Deposited: 08 Dec 2022 10:16
Last Modified: 26 Jul 2023 13:13
Published Version: https://link.springer.com/article/10.1007/s00382-0...
Status: Published
Publisher: Springer
Identification Number: 10.1007/s00382-022-06528-2
Open Archives Initiative ID (OAI ID):

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