📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! Tell us what works, what doesn't, and how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community. Please send your feedback to gateway@ukri.org by 11 August 2025.

Quality-control of an hourly rainfall dataset and climatology of extremes for the UK. (2017)

First Author: Blenkinsop S

Attributed to: Using Observational Evidence and Process Understanding to Improve Predictions of Extreme Rainfall Change funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/joc.4735

PubMed Identifier: 28239235

Publication URI: http://europepmc.org/abstract/MED/28239235

Type: Journal Article/Review

Volume: 37

Parent Publication: International journal of climatology : a journal of the Royal Meteorological Society

Issue: 2

ISSN: 0899-8418