Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3408
Authors: Alessandri, A.* 
Gualdi, S.* 
Polcher, J.* 
Navarra, A.* 
Title: Effects of Land-Surface-Vegetation on theboreal summer surface climate of a GCM
Issue Date: 15-Jan-2007
Series/Report no.: 2/20 (2007)
DOI: 10.1175/JCLI3983.1
URI: http://hdl.handle.net/2122/3408
Keywords: Land Atmosphere interactions
Global climate models
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.02. Climate 
Abstract: A land surface model (LSM) has been included in the ECMWF Hamburg version 4 (ECHAM4) atmospheric general circulation model (AGCM). The LSM is an early version of the Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) and it replaces the simple land surface scheme previously included in ECHAM4. The purpose of this paper is to document how a more exhaustive consideration of the land surface–vegetation processes affects the simulated boreal summer surface climate. To investigate the impacts on the simulated climate, different sets of Atmospheric Model Intercomparison Project (AMIP)-type simulations have been performed with ECHAM4 alone and with the AGCM coupled with ORCHIDEE. Furthermore, to assess the effects of the increase in horizontal resolution the coupling of ECHAM4 with the LSM has been implemented at different horizontal resolutions. The analysis reveals that the LSM has large effects on the simulated boreal summer surface climate of the atmospheric model. Considerable impacts are found in the surface energy balance due to changes in the surface latent heat fluxes over tropical and midlatitude areas covered with vegetation. Rainfall and atmospheric circulation are substantially affected by these changes. In particular, increased precipitation is found over evergreen and summergreen vegetated areas. Because of the socioeconomical relevance, particular attention has been devoted to the Indian summer monsoon (ISM) region. The results of this study indicate that precipitation over the Indian subcontinent is better simulated with the coupled ECHAM4–ORCHIDEE model compared to the atmospheric model alone.
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