Quantifying the overall added value of dynamical downscaling and the contribution from different spatial scales

Di Luca, Alejandro; Argüeso, Daniel; Evans, Jason P.; de Elía, Ramón et Laprise, René (2016). « Quantifying the overall added value of dynamical downscaling and the contribution from different spatial scales ». Journal of Geophysical Research: Atmospheres, 121(4), pp. 1575-1590.

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Résumé

This study evaluates the added value in the representation of surface climate variables from an ensemble of regional climate model (RCM) simulations by comparing the relative skill of the RCM simulations and their driving data over a wide range of RCM experimental setups and climate statistics. The methodology is specifically designed to compare results across different variables and metrics, and it incorporates a rigorous approach to separate the added value occurring at different spatial scales. Results show that the RCMs’ added value strongly depends on the type of driving data, the climate variable, and the region of interest but depends rather weakly on the choice of the statistical measure, the season, and the RCM physical configuration. Decomposing climate statistics according to different spatial scales shows that improvements are coming from the small scales when considering the representation of spatial patterns, but from the large-scale contribution in the case of absolute values. Our results also show that a large part of the added value can be attained using some simple postprocessing methods.

Type:	Article de revue scientifique
Mots-clés ou Sujets:	Boundary conditions, Climate, Climate change, Evaluation, High resolution, RCM
Unité d'appartenance:	Centres institutionnels > Centre pour l'étude et la simulation du climat à l'échelle régionale (ESCER) Faculté des sciences > Département des sciences de la Terre et de l'atmosphère
Déposé par:	René Laprise
Date de dépôt:	30 mars 2016 15:25
Dernière modification:	01 oct. 2016 04:10
Adresse URL :	http://archipel.uqam.ca/id/eprint/8040

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