DOI: 10.1007/s00382-016-3012-z
Scopus记录号: 2-s2.0-84957674956
论文题名: How well can a convection-permitting climate model reproduce decadal statistics of precipitation, temperature and cloud characteristics?
作者: Brisson E. ; Van Weverberg K. ; Demuzere M. ; Devis A. ; Saeed S. ; Stengel M. ; van Lipzig N.P.M.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-09-10 起始页码: 3043
结束页码: 3061
语种: 英语
英文关键词: Cloud properties
; Convection-permitting climate model
; COSMO-CLM
; Extremes
; Precipitation
英文摘要: Convection-permitting climate model are promising tools for improved representation of extremes, but the number of regions for which these models have been evaluated are still rather limited to make robust conclusions. In addition, an integrated interpretation of near-surface characteristics (typically temperature and precipitation) together with cloud properties is limited. The objective of this paper is to comprehensively evaluate the performance of a ‘state-of-the-art’ regional convection-permitting climate model for a mid-latitude coastal region with little orographic forcing. For this purpose, an 11-year integration with the COSMO-CLM model at Convection-Permitting Scale (CPS) using a grid spacing of 2.8 km was compared with in-situ and satellite-based observations of precipitation, temperature, cloud properties and radiation (both at the surface and the top of the atmosphere). CPS clearly improves the representation of precipitation, in especially the diurnal cycle, intensity and spatial distribution of hourly precipitation. Improvements in the representation of temperature are less obvious. In fact the CPS integration overestimates both low and high temperature extremes. The underlying cause for the overestimation of high temperature extremes was attributed to deficiencies in the cloud properties: The modelled cloud fraction is only 46 % whereas a cloud fraction of 65 % was observed. Surprisingly, the effect of this deficiency was less pronounced at the radiation balance at the top of the atmosphere due to a compensating error, in particular an overestimation of the reflectivity of clouds when they are present. Overall, a better representation of convective precipitation and a very good representation of the daily cycle in different cloud types were demonstrated. However, to overcome remaining deficiencies, additional efforts are necessary to improve cloud characteristics in CPS. This will be a challenging task due to compensating deficiencies that currently exist in ‘state-of-the-art’ models, yielding a good representation of average climate conditions. In the light of using the CPS models to study climate change it is necessary that these deficiencies are addressed in future research. © 2016, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53490
Appears in Collections: 过去全球变化的重建
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作者单位: Physical and Regional Geography Research Group, Katholieke Universiteit Leuven, Leuven, Belgium; Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany; Met Office, Atmospheric Processes and Parametrisations, Exeter, United Kingdom; Université catholique de Louvain, Louvain-la-neuve, Belgium; Deutscher Wetterdienst (DWD), Offenbach, Germany
Recommended Citation:
Brisson E.,Van Weverberg K.,Demuzere M.,et al. How well can a convection-permitting climate model reproduce decadal statistics of precipitation, temperature and cloud characteristics?[J]. Climate Dynamics,2016-01-01,47(2017-09-10)