DOI: 10.1007/s00382-016-3453-4
Scopus记录号: 2-s2.0-85000461286
论文题名: Assessment of multiple daily precipitation statistics in ERA-Interim driven Med-CORDEX and EURO-CORDEX experiments against high resolution observations
作者: Fantini A. ; Raffaele F. ; Torma C. ; Bacer S. ; Coppola E. ; Giorgi F. ; Ahrens B. ; Dubois C. ; Sanchez E. ; Verdecchia M.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 51, 期: 3 起始页码: 877
结束页码: 900
语种: 英语
英文关键词: Daily precipitation
; EURO-CORDEX
; Extremes
; Med-CORDEX
; Model validation
; Regional climate model
Scopus关键词: climate modeling
; extreme event
; model validation
; precipitation assessment
; regional climate
; spatial resolution
; statistical data
; Europe
英文摘要: We assess the statistics of different daily precipitation indices in ensembles of Med-CORDEX and EURO-CORDEX experiments at high resolution (grid spacing of ~0.11°, or RCM11) and medium resolution (grid spacing of ~0.44°, or RCM44) with regional climate models (RCMs) driven by the ERA-Interim reanalysis of observations for the period 1989–2008. The assessment is carried out by comparison with a set of high resolution observation datasets for nine European subregions. The statistics analyzed include quantitative metrics for mean precipitation, daily precipitation probability density functions (PDFs), daily precipitation intensity, frequency, 95th percentile and 95th percentile of dry spell length. We assess an ensemble including all Med-CORDEX and EURO-CORDEX models together and others including the Med-CORDEX and EURO-CORDEX separately. For the All Models ensembles, the RCM11 one shows a remarkable performance in reproducing the spatial patterns and seasonal cycle of mean precipitation over all regions, with a consistent and marked improvement compared to the RCM44 ensemble and the ERA-Interim reanalysis. A good consistency with observations by the RCM11 ensemble (and a substantial improvement compared to RCM44 and ERA-Interim) is found also for the daily precipitation PDFs, mean intensity and, to a lesser extent, the 95th percentile. A general improvement by the RCM11 models is also found when the data are upscaled and intercompared at the 0.44° and 1.5° resolutions. For some regions the RCM11 ensemble overestimates the occurrence of very high intensity events while for one region the models underestimate the occurrence of the most intense extremes. The RCM11 ensemble still shows a general tendency to underestimate the dry day frequency and 95th percentile of dry spell length over wetter regions, with only a marginal improvement compared to the lower resolution models. This indicates that the problem of the excessive production of low precipitation events found in many climate models persists also at relatively high resolutions, at least in wet climate regimes. Concerning the Med-CORDEX and EURO-CORDEX ensembles we find that their performance is of similar quality over the Mediterranean regions analyzed. Finally, we stress the need of consistent and quality checked fine scale observation datasets for the assessment of RCMs run at increasingly high horizontal resolutions. © 2016, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109202
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department of Mathematics and Geosciences, University of Trieste, Trieste, Italy; Abdus Salam ICTP, Trieste, Italy; Department of Meteorology, Eötvös Loránd University, Budapest, Hungary; HAS Post-Doctoral Research Program, Budapest, Hungary; Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany; Goethe-Universitaet Frankfurt a.M., Frankfurt/Main, Germany; Météo-France, Toulouse, France; Mercator Océan, Ramonville-Saint-Agne, France; Universidad de Castilla-La Mancha, Toledo, Spain; Department of Physical and Chemical Sciences, University of L’Aquila, L’Aquila, Italy
Recommended Citation:
Fantini A.,Raffaele F.,Torma C.,et al. Assessment of multiple daily precipitation statistics in ERA-Interim driven Med-CORDEX and EURO-CORDEX experiments against high resolution observations[J]. Climate Dynamics,2018-01-01,51(3)