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Physically based evaluation of climate models over the Iberian Peninsula
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dc.contributor.authorSánchez de Cos, María del Carmenes_ES
dc.contributor.authorSánchez-Laulhé, José Maríaes_ES
dc.contributor.authorJiménez Alonso, Carloses_ES
dc.contributor.authorSancho Ávila, Juan Manueles_ES
dc.contributor.authorRodríguez Camino, Ernestoes_ES
dc.identifier.citationClimate Dynamics volume. 2013, 40, p. 1969–1984es_ES
dc.description.abstractA novel approach is proposed for evaluating regional climate models based on the comparison of empirical relationships among model outcome variables. The approach is actually a quantitative adaptation of the method for evaluating global climate models proposed by Betts (Bull Am Meteorol Soc 85:1673–1688, 2004). Three selected relationships among different magnitudes involved in water and energy land surface budgets are firstly established using daily re-analysis data. The selected relationships are obtained for an area encompassing two river basins in the southern Iberian Peninsula corresponding to 2 months, representative of dry and wet seasons. The same corresponding relations are also computed for each of the thirteen regional simulations of the ENSEMBLES project over the same area. The usage of a metric based on the Hellinger coefficient allows a quantitative estimation of how well models are performing in simulating the relations among surface magnitudes. Finally, a series of six rankings of the thirteen regional climate models participating in the ENSEMBLES project is obtained based on their ability to simulate such surface processes.es_ES
dc.description.sponsorshipThe ENSEMBLES data used in this work was funded by the EU FP6 Integrated Project ENSEMBLES (Contract number 505539) whose support is gratefully acknowledged by the authors of the paper, without these data it would have been imposible to write this article.es_ES
dc.subjectClimate modelses_ES
dc.subjectSurface processeses_ES
dc.titlePhysically based evaluation of climate models over the Iberian Peninsulaes_ES
Appears in Collections:Artículos científicos 2010-2014

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