Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-611-2018
https://doi.org/10.5194/hess-22-611-2018
Research article
 | 
25 Jan 2018
Research article |  | 25 Jan 2018

A large set of potential past, present and future hydro-meteorological time series for the UK

Benoit P. Guillod, Richard G. Jones, Simon J. Dadson, Gemma Coxon, Gianbattista Bussi, James Freer, Alison L. Kay, Neil R. Massey, Sarah N. Sparrow, David C. H. Wallom, Myles R. Allen, and Jim W. Hall

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Cited articles

Allen, M.: Do-it-yourself climate prediction, Nature, 401, 642–642, https://doi.org/10.1038/44266, 1999. a
Ault, T. R., Cole, J. E., and St. George, S.: The amplitude of decadal to multidecadal variability in precipitation simulated by state-of-the-art climate models, Geophys. Res. Lett., 39, https://doi.org/10.1029/2012GL053424, L21705, 2012. a, b, c, d
Ault, T. R., Cole, J. E., Overpeck, J. T., Pederson, G. T., and Meko, D. M.: Assessing the Risk of Persistent Drought Using Climate Model Simulations and Paleoclimate Data, J. Climate, 27, 7529–7549, https://doi.org/10.1175/JCLI-D-12-00282.1, 2014. a
Azzalini, A.: The skew-normal distribution and related multivariate families, Scand. J. Stat., 32, 159–188, 2005. a
Deser, C., Phillips, A. S., Alexander, M. A., and Smoliak, B. V.: Projecting North American Climate over the Next 50 Years: Uncertainty due to Internal Variability, J. Climate, 27, 2271–2296, https://doi.org/10.1175/JCLI-D-13-00451.1, 2014. a
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Short summary
Assessing the potential impacts of extreme events such as drought and flood requires large datasets of such events, especially when looking at the most severe and rare events. Using a state-of-the-art climate modelling infrastructure that is simulating large numbers of weather time series on volunteers' computers, we generate such a large dataset for the United Kingdom. The dataset covers the recent past (1900–2006) as well as two future time periods (2030s and 2080s).
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