globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-015-2865-x
Scopus ID: 2-s2.0-84944628224
Title:
Daily precipitation statistics in a EURO-CORDEX RCM ensemble: added value of raw and bias-corrected high-resolution simulations
Author: Casanueva A.; Kotlarski S.; Herrera S.; Fernández J.; Gutiérrez J.M.; Boberg F.; Colette A.; Christensen O.B.; Goergen K.; Jacob D.; Keuler K.; Nikulin G.; Teichmann C.; Vautard R.
Source Publication: Climate Dynamics
ISSN: 9307575
Publishing Year: 2016
Volume: 47, Issue:2017-03-04
pages begin: 719
pages end: 737
Language: 英语
Keyword: Added value ; Bias correction ; EURO-CORDEX ; Precipitation indices ; Regional climate models
English Abstract: Daily precipitation statistics as simulated by the ERA-Interim-driven EURO-CORDEX regional climate model (RCM) ensemble are evaluated over two distinct regions of the European continent, namely the European Alps and Spain. The potential added value of the high-resolution 12 km experiments with respect to their 50 km resolution counterparts is investigated. The statistics considered consist of wet-day intensity and precipitation frequency as a measure of mean precipitation, and three precipitation-derived indicators (90th percentile on wet days—90pWET, contribution of the very wet days to total precipitation—R95pTOT and number of consecutive dry days—CDD). As reference for model evaluation high resolution gridded observational data over continental Spain (Spain011/044) and the Alpine region (EURO4M-APGD) are used. The assessment and comparison of the two resolutions is accomplished not only on their original horizontal grids (approximately 12 and 50 km), but the high-resolution RCMs are additionally regridded onto the coarse 50 km grid by grid cell aggregation for the direct comparison with the low resolution simulations. The direct application of RCMs e.g. in many impact modelling studies is hampered by model biases. Therefore bias correction (BC) techniques are needed at both resolutions to ensure a better agreement between models and observations. In this work, the added value of the high resolution (before and after the bias correction) is assessed and the suitability of these BC methods is also discussed. Three basic BC methods are applied to isolate the effect of biases in mean precipitation, wet-day intensity and wet-day frequency on the derived indicators. Daily precipitation percentiles are strongly affected by biases in the wet-day intensity, whereas the dry spells are better represented when the simulated precipitation frequency is adjusted to the observed one. This confirms that there is no single optimal way to correct for RCM biases, since correcting some distributional features typically leads to an improvement of some aspects but to a deterioration of others. Regarding mean seasonal biases before the BC, we find only limited evidence for an added value of the higher resolution in the precipitation intensity and frequency or in the derived indicators. Thereby, evaluation results considerably depend on the RCM, season and indicator considered. High resolution simulations better reproduce the indicators’ spatial patterns, especially in terms of spatial correlation. However, this improvement is not statistically significant after applying specific BC methods. © 2015, Springer-Verlag Berlin Heidelberg.
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Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/53584
Appears in Collections:过去全球变化的重建

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Affiliation: Grupo de Meteorología, Dpto. Matemática Aplicada y Ciencias de la Computación, Univ. de Cantabria, Avda. de los Castros, s/n, Santander, Spain; Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland; Grupo de Meteorología, Instituto de Física de Cantabria CSIC-Univ. de Cantabria, Avda. de los Castros, s/n, Santander, Spain; Climate and Arctic Research, Danish Meteorological Institute, Lyngbyvej 100, Copenhagen Ø, Denmark; Institut National de l’Environnement industriel et des risques (INERIS), Verneuil en Halatte, France; Meteorologiocal Institute, University of Bonn, Auf dem Hügel 20, Bonn, Germany; Climate Service Center Germany (GERICS), Hamburg, Germany; Max Planck Institute for Meteorology, Hamburg, Germany; Chair of Environmental Meteorology, Brandenburg University of Technology (BTU), Cottbus-Senftenberg, Germany; Swedish Meteorological and Hydrological Institute, Norrköping, Sweden; LSCE-IPSL CEA/CNRS/UVSQ, Gif sur Yvette Cedex, France

Recommended Citation:
Casanueva A.,Kotlarski S.,Herrera S.,et al. Daily precipitation statistics in a EURO-CORDEX RCM ensemble: added value of raw and bias-corrected high-resolution simulations[J]. Climate Dynamics,2016-01-01,47(2017-03-04)
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