Osman, Yassin Z. and Fealy, Rowan and Sweeney, John (2015) Modelling extreme temperatures in Ireland under global warming using a hybrid peak-over-threshold and a generalised Pareto distribution approach. International Journal of Global Warming, 7 (1). pp. 21-47. ISSN 1758-2083

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Abstract

In the present paper, modelling extreme temperature to assess risk of global warming in Ireland is addressed. The approach used is a combination of peak-over-threshold (POT) – generalised Pareto distribution (GPD) in which the parameter of distribution is allowed to vary with a dominant feature of climate at the location. The dominant climatic feature at a location is approximated by climatic variables derived from the National Centre for Environmental Prediction (NCEP) reanalysis data. Data from six stations were used to develop seasonal models for winter, spring, summer and autumn. Future changes in extreme temperature values are generated by using climate variables derived from (HadCM3) GCM for the A2 emissions scenario. The software extRemes was used to develop the models as it serves the proposed modelling approach. Results indicate that significant changes in extreme temperature events are projected to occur in Ireland over the course of the present century. These include hotter summers and mild winters.

Item Type:	Article
Additional Information:	The definitive version of this article is available at http://dx.doi.org/10.1504/IJGW.2015.067414
Keywords:	extreme temperature; generalised Pareto distribution; GPD; climate change; peak-over-threshold; POT; Ireland;
Academic Unit:	Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
Item ID:	7019
Depositing User:	Prof. John Sweeney
Date Deposited:	15 Mar 2016 16:38
Journal or Publication Title:	International Journal of Global Warming
Publisher:	Inderscience
Refereed:	Yes
Funders:	Environmental Protection Agency (EPA)
URI:	http://www.inderscienceonline.com/
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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