DOI: 10.1007/s00382-012-1572-0
Scopus记录号: 2-s2.0-84868691800
论文题名: Impact of vegetation variability on potential predictability and skill of EC-Earth simulations
作者: Weiss M. ; van den Hurk B. ; Haarsma R. ; Hazeleger W.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2012
卷: 39, 期: 11 起始页码: 2733
结束页码: 2746
语种: 英语
英文关键词: EC-Earth
; Land-atmosphere coupling
; Leaf area index
; Potential predictability
英文摘要: Climate models often use a simplified and static representation of vegetation characteristics to determine fluxes of energy, momentum and water vapour between surface and lower atmosphere. In order to analyse the impact of short term variability in vegetation phenology, we use remotely-sensed leaf area index and albedo products to examine the role of vegetation in the coupled land-atmosphere system. Perfect model experiments are carried out to determine the impact of realistic temporal variability of vegetation on potential predictability of evaporation and temperature, as well as model skill of EC-Earth simulations. The length of the simulation period is hereby limited by the availability of satellite products to 2000-2010. While a realistic representation of vegetation positively influences the simulation of evaporation and its potential predictability, a positive impact on 2 m temperature is of smaller magnitude, regionally confined and more pronounced in climatically extreme years. © 2012 Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/55080
Appears in Collections: 过去全球变化的重建
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作者单位: Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands
Recommended Citation:
Weiss M.,van den Hurk B.,Haarsma R.,et al. Impact of vegetation variability on potential predictability and skill of EC-Earth simulations[J]. Climate Dynamics,2012-01-01,39(11)