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Large biases and inconsistent climate change signals in ENSEMBLES regional projections

Abstract: In this paper we analyze some caveats found in the state-of-the-art ENSEMBLES regional projections dataset focusing on precipitation over Spain, and highlight the need of a task-oriented validation of the GCM-driven control runs. In particular, we compare the performance of the GCM-driven control runs (20C3M scenario) with the ERA40-driven ones ("perfect" boundary conditions) in a common period (1961-2000). Large deviations between the results indicate a large uncertainty/bias for the particular RCM-GCM combinations and, hence, a small confidence for the corresponding transient simulations due to the potential nonlinear amplification of biases. Specifically, we found large biases for some RCM-GCM combinations attributable to RCM in-house problems with the particular GCM coupling. These biases are shown to distort the corresponding climate change signal, or "delta", in the last decades of the 21st century, considering the A1B scenario. Moreover, we analyze how to best combine the available RCMs to obtain more reliable projections.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Climate Change (2013) 120:859-869

Editorial: Kluwer

 Año de publicación: 2013

Nº de páginas: 11

Tipo de publicación: Artículo de Revista

 DOI: doi.org/10.1007/s10584-013-0844-y

ISSN: 0165-0009,1573-1480

Proyecto español: CGL2010-21869

Url de la publicación: https://link.springer.com/article/10.1007/s10584-013-0844-y#article-info