Title: COSMO-CLM (CCLM) climate simulations over CORDEX-Africa domain: analysis of the ERA-Interim driven simulations at 0.44 and 0.22 resolution
Authors: PANITZ Hans-JuergenDOSIO AlessandroBUECHNER MatthiasLUETHI DanielKEULER Klaus
Citation: CLIMATE DYNAMICS
Publisher: SPRINGER
Publication Year: 2013
JRC N°: JRC83342
ISSN: 0930-7575
URI: http://link.springer.com/article/10.1007%2Fs00382-013-1834-5/fulltext.html
http://publications.jrc.ec.europa.eu/repository/handle/JRC83342
DOI: 10.1007/s00382-013-1834-5
Type: Articles in periodicals and books
Abstract: We present the results of the application of the COSMO-CLM Regional Climate Model (CCLM) over the CORDEX-Africa domain. Two simulations were performed driven by the ERA-Interim reanalysis (1989–2008): the first one with the standard CORDEX spatial resolution (0.44), and the second one with an unprecedented high resolution (0.22). Low-level circulation and its vertical structure, the geographical and temporal evolution of temperature and precipitation are critically evaluated, together with the radiation budget and surface energy fluxes. CCLM is generally able to reproduce the overall features of the African climate, although some deficiencies are evident. Flow circulation is generally well simulated, but an excessive pressure gradient is present between the Gulf of Guinea and the Sahara, related to a marked warm bias over the Sahara and a cold bias over southern Sahel. CCLM underestimates the rainfall peak in the regions affected by the passage of the monsoon. This dry bias may be a consequence of two factors, the misplacement of the monsoon centre and the underestimation of its intensity. The former is related to the northern shift of the West African Heat Low. On the other hand, the underestimation of precipitation intensity may be related to the underestimation of the surface short-wave radiation and latent heat flux. The increase of the model resolution does not bring evident improvements to the results for monthly means statistics. As a result, it appears that 0.44 is a suitable compromise between model performances and computational constrains.
JRC Directorate:Sustainable Resources

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