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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
Precipitation climatology in an ensemble of CORDEX-Africa regional climate simulations
Journal of Climate, Volume 25, No. 18, Year 2012
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Description
An ensemble of regional climate simulations is analyzed to evaluate the ability of 10 regional climate models (RCMs) and their ensemble average to simulate precipitation over Africa. All RCMs use a similar domain and spatial resolution of~50 km and are driven by the ECMWF Interim Re-Analysis (ERA-Interim) (1989-2008). They constitute the first set of simulations in the Coordinated Regional Downscaling Experiment in Africa (CORDEX-Africa) project. Simulated precipitation is evaluated at a range of time scales, including seasonal means, and annual and diurnal cycles, against a number of detailed observational datasets. All RCMs simulate the seasonal mean and annual cycle quite accurately, although individual models can exhibit significant biases in some subregions and seasons. The multimodel average generally outperforms any individual simulation, showing biases of similar magnitude to differences across a number of observational datasets. Moreover, many of the RCMs significantly improve the precipitation climate compared to that from their boundary condition dataset, that is, ERA-Interim. A common problem in the majority of the RCMs is that precipitation is triggered too early during the diurnal cycle, although a small subset of models does have a reasonable representation of the phase of the diurnal cycle. The systematic bias in the diurnal cycle is not improved when the ensemble mean is considered. Based on this performance analysis, it is assessed that the present set of RCMs can be used to provide useful information on climate projections over Africa. © 2012 American Meteorological Society.
Authors & Co-Authors
Nikulin, Grigory N.
Sweden, Norrkoping
Swedish Meteorological and Hydrological Institute
Jones, Colin
Sweden, Norrkoping
Swedish Meteorological and Hydrological Institute
Giorgi, Filippo
Italy, Trieste
Abdus Salam International Centre for Theoretical Physics
Asrar, Ghassem R.
Switzerland, Geneve
World Climate Research Programme
Büchner, Matthias
Germany, Potsdam
Potsdam Institut Fur Klimafolgenforschung
Cerezo-Mota, Ruth
South Africa, Cape Town
University of Cape Town
Christensen, Ole B.
Denmark, Copenhagen
Danmarks Meteorologiske Institut
Déqué, M.
France, Toulouse
Centre National de Recherches Météorologiques
Fernández, Jesús
Spain, Santander
Universidad de Cantabria
Haensler, Andreas
Germany, Geesthacht
Helmholtz-zentrum Hereon Gmbh
van Meijgaard, Erik
Netherlands, De Bilt
Royal Netherlands Meteorological Institute
Samuelsson, Patrick
Sweden, Norrkoping
Swedish Meteorological and Hydrological Institute
Sylla, Mouhamadou Bamba
Italy, Trieste
Abdus Salam International Centre for Theoretical Physics
Sushama, Laxmi
Canada, Montreal
Université du Québec à Montréal
Statistics
Citations: 596
Authors: 14
Affiliations: 11
Identifiers
Doi:
10.1175/JCLI-D-11-00375.1
ISSN:
08948755
Study Approach
Quantitative