Multi-scale climate modelling over Southern Africa using a variable-resolution global model

被引:77
作者
Engelbrecht, F. A. [1 ,2 ]
Landman, W. A. [1 ,3 ]
Engelbrecht, C. J. [4 ]
Landman, S. [5 ]
Bopape, M. M. [1 ]
Roux, B. [6 ]
McGregor, J. L. [7 ]
Thatcher, M. [7 ]
机构
[1] CSIR Nat Resources & Environm Climate Studies Mod, ZA-0001 Pretoria, South Africa
[2] Univ Witwatersrand, Climatol Res Grp, GAES, ZA-2050 Johannesburg, South Africa
[3] Univ Pretoria, Dept Geog Geoinformat & Meteorol, ZA-0002 Pretoria, South Africa
[4] Agr Res Council, Inst Soil Climate & Water, ZA-0001 Pretoria, South Africa
[5] S African Weather Serv, ZA-0001 Pretoria, South Africa
[6] Ctr Australian Weather & Climate Res, Bur Meteorol, Melbourne, Vic, Australia
[7] CSIRO, Ctr Australian Weather & Climate Res, Aspendale, Vic, Australia
关键词
multi-scale climate modelling; variable-resolution atmospheric model; ATMOSPHERIC MODEL; RAINFALL CHARACTERISTICS; PREDICTION;
D O I
10.4314/wsa.v37i5.2
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Evidence is provided of the successful application of a single atmospheric model code at time scales ranging from short-range weather forecasting through to projections of future climate change, and at spatial scales that vary from relatively low-resolution global simulations, to ultra-high resolution simulations at the micro-scale. The model used for these experiments is a variable-resolution global atmospheric model, the conformal-cubic atmospheric model (CCAM). It is shown that CCAM may be used to obtain plausible projections of future climate change, as well as skilful forecasts at the seasonal and short-range time scales, over the Southern African region. The model is additionally applied for extended simulations of present-day climate at spatial scales ranging from global simulations at relatively low horizontal resolution, to the micro-scale at ultra-high (1 km) resolution. Applying the atmospheric model at the shorter time scales provides the opportunity to test its physical parameterisation schemes and its response to fundamental forcing mechanisms (e.g. ENSO). The existing skill levels at the shorter time scales enhance the confidence in the model projections of future climate change, whilst the related verification studies indicate opportunities for future model improvement.
引用
收藏
页码:647 / 658
页数:12
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