<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">E. Sanchez</style></author><author><style face="normal" font="default" size="100%">C. Gallardo</style></author><author><style face="normal" font="default" size="100%">M.A. Gaertner</style></author><author><style face="normal" font="default" size="100%">A. Arribas</style></author><author><style face="normal" font="default" size="100%">M. Castro</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Future climate extreme events in the Mediterranean simulated by a regional climate model: a first approach</style></title><secondary-title><style face="normal" font="default" size="100%">Global and Planetary Change</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">analyse de scénario</style></keyword><keyword><style  face="normal" font="default" size="100%">changement climatique</style></keyword><keyword><style  face="normal" font="default" size="100%">climate</style></keyword><keyword><style  face="normal" font="default" size="100%">climate change</style></keyword><keyword><style  face="normal" font="default" size="100%">climate extreme event</style></keyword><keyword><style  face="normal" font="default" size="100%">climate model</style></keyword><keyword><style  face="normal" font="default" size="100%">évènement climatique extrême</style></keyword><keyword><style  face="normal" font="default" size="100%">global warming</style></keyword><keyword><style  face="normal" font="default" size="100%">Mer Méditerranée</style></keyword><keyword><style  face="normal" font="default" size="100%">modèle climatique</style></keyword><keyword><style  face="normal" font="default" size="100%">modélisation</style></keyword><keyword><style  face="normal" font="default" size="100%">modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">réchauffement</style></keyword><keyword><style  face="normal" font="default" size="100%">réchauffement global</style></keyword><keyword><style  face="normal" font="default" size="100%">research</style></keyword><keyword><style  face="normal" font="default" size="100%">scenario analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">temperature</style></keyword><keyword><style  face="normal" font="default" size="100%">warming</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2004</style></year></dates><volume><style face="normal" font="default" size="100%">44</style></volume><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Within the frame of PRUDENCE (Prediction of Regional scenarios and  Uncertainties for Defining EuropeaN Climate change risks and Effects,  EVK2-CT2001-00132), 5th Framework European programme project (2002-2005)  European research project, two 30-year time-slice simulations with a  regional climate model (PROMES-RCM) nested in the Hadley Centre global  model have been performed: present-day climate (1961-1990) and one of  the IPCC greenhouse gases emission future scenario (A2 IPCC-SRES) for  2071-2100. Model domain is centered in the Mediterranean basin,  considered one of the most sensitive areas regarding to global warming  and future climate extreme conditions. This study is based on objective  indices to describe extreme climate events of maximum and minimum  temperature and precipitation. The statistical frequency and persistence  of cold spells, heat waves and intense rain days simulated in the  current climate run are compared against the ones resulting from future  scenario numerical experiment. Description of extreme processes in both  intensity and frequency give a different and complementary overview of  extreme events changes in future climate conditions for any of the  magnitudes analyzed. In fact, a common feature obtained from the results  is the absence of correlation between both magnitudes, as much as for  temperatures as for precipitation. Results also point to the usefulness  of very high-resolution models (RCM) to study extreme events, due to the  great spatial variability obtained in any of the variables studied.&lt;/p&gt;</style></abstract><custom1><style face="normal" font="default" size="100%">&lt;div&gt;&lt;a href=&quot;mailto:esanchez@fis.ucm.es?subject=Request%20a%20document%20by%20email&quot;&gt; esanchez@fis.ucm.es&lt;/a&gt;&lt;/div&gt;</style></custom1><custom3><style face="normal" font="default" size="100%">&lt;p&gt;163&lt;/p&gt;</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;180&lt;/p&gt;</style></custom4></record></records></xml>