dc.contributor.author | Thompson, V | |
dc.contributor.author | Dunstone, NJ | |
dc.contributor.author | Scaife, AA | |
dc.contributor.author | Smith, DM | |
dc.contributor.author | Slingo, JM | |
dc.contributor.author | Brown, S | |
dc.contributor.author | Belcher, SE | |
dc.date.accessioned | 2018-11-01T14:16:55Z | |
dc.date.issued | 2017-07-24 | |
dc.description.abstract | In winter 2013/14 a succession of storms hit the UK leading to record rainfall and flooding in many regions including south east England. In the Thames river valley there was widespread flooding, with clean-up costs of over £1 billion. There was no observational precedent for this level of rainfall. Here we present analysis of a large ensemble of high-resolution initialised climate simulations to show that this event could have been anticipated, and that in the current climate there remains a high chance of exceeding the observed record monthly rainfall totals in many regions of the UK. In south east England there is a 7% chance of exceeding the current rainfall record in at least one month in any given winter. Expanding our analysis to some other regions of England and Wales the risk increases to a 34% chance of breaking a regional record somewhere each winter.A succession of storms during the 2013-2014 winter led to record flooding in the UK. Here, the authors use high-resolution climate simulations to show that this event could have been anticipated and that there remains a high chance of exceeding observed record monthly rainfall totals in many parts of the UK. | en_GB |
dc.description.sponsorship | Development of the Met Office Hadley Centre’s decadal climate predictions, the innovative scientific research that contributed to the NFRR, has been resourced through the MOHCCP, the NCIC, the Newton Fund, and SPECS. Development of the methodology was supported by the Newton Fund. | en_GB |
dc.identifier.citation | Vol. 8, article 107 | en_GB |
dc.identifier.doi | 10.1038/s41467-017-00275-3 | |
dc.identifier.uri | http://hdl.handle.net/10871/34600 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer Nature | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/28740082 | en_GB |
dc.rights | © 2017 The Author(s). Open Access. 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.title | High risk of unprecedented UK rainfall in the current climate | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-11-01T14:16:55Z | |
exeter.place-of-publication | England | en_GB |
dc.description | This is the final version. Available on open access from Springer Nature via the DOI in this record | en_GB |
dc.identifier.journal | Nature Communications | en_GB |