Precipitation Climatology in an Ensemble of CORDEX-Africa Regional Climate Simulations

被引:491
|
作者
Nikulin, Grigory [1 ]
Jones, Colin [1 ]
Giorgi, Filippo [2 ]
Asrar, Ghassem [3 ]
Buechner, Matthias [4 ]
Cerezo-Mota, Ruth [5 ]
Christensen, Ole Bossing [6 ]
Deque, Michel [7 ]
Fernandez, Jesus [8 ]
Haensler, Andreas [9 ]
van Meijgaard, Erik [10 ]
Samuelsson, Patrick [1 ]
Sylla, Mouhamadou Bamba [2 ]
Sushama, Laxmi [11 ]
机构
[1] Swedish Meteorol & Hydrol Inst, Rossby Ctr, S-60176 Norrkoping, Sweden
[2] Abdus Salam Int Ctr Theoret Phys, Trieste, Italy
[3] World Climate Res Programme, Geneva, Switzerland
[4] Potsdam Inst Climate Impact Res, Potsdam, Germany
[5] Univ Cape Town, ZA-7925 Cape Town, South Africa
[6] Danmarks Meteorol Inst, Copenhagen, Denmark
[7] Meteo France, Ctr Natl Rech Meteorol, Toulouse, France
[8] Univ Cantabria, E-39005 Santander, Spain
[9] Helmholtz Zentrum Geesthacht, Climate Serv Ctr, Hamburg, Germany
[10] Koninklijk Nederlands Meteorol Inst, De Bilt, Netherlands
[11] Univ Quebec, Montreal, PQ H3C 3P8, Canada
关键词
NUMERICAL WEATHER PREDICTION; LAND-SURFACE SCHEME; LARGE-SCALE MODELS; GENERAL-CIRCULATION MODEL; FLUX CONVECTION SCHEME; ERA-INTERIM REANALYSIS; GLOBAL PRECIPITATION; DIURNAL-VARIATIONS; INTERANNUAL VARIABILITY; SEASONAL VARIABILITY;
D O I
10.1175/JCLI-D-11-00375.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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 similar to 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.
引用
收藏
页码:6057 / 6078
页数:22
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