Projected climate futures for southern Africa Francois Engelbrecht CSIR Natural Resources and the Environment Climate Studies, Modelling and Environmental Health Contributions by Mary-Jane Bopape and Mogesh Naidoo

© CSIR Quasi- uniform C48 grid with resolution about 210 km Climate Modelling at the CSIR NRE NWP and RCM capacity build around the conformal-cubic atmospheric model (CCAM) of the CSIRO A cube-based global model; semi-Lagrangian semi-implicit solution of the hydrostatic primitive equations Includes a wide range of physical parameterizations Developed by the CSIRO Marine and Atmospheric Research (McGregor, 2005) Runs in quasi-uniform or in stretched grid mode Seamless (multiscale) forecasting...

© CSIR Regional climate modelling over southern and tropical Africa using CCAM CCAM applied in stretched-grid mode Modest stretching provides a resolution of about 0.5 degrees over tropical and southern Africa; decreases to about 4 degrees in the far-field Options for spectral nudging, gridpoint nudging or no nudging from the host model (atmospheric fields) C64 stretched-grid with resolution about 0.5 degrees over southern and tropical Africa

6 CGCMs (SSTs and sea-ice) of AR4 – A2 SRES; Climate Dynamics + Application Modelling/Studies Regional Climate Modelling Flow of Events: new CSIR ensemble of projections Global simulations, quasi-uniform resolution (~ 2 degrees) Regional stretched-grid simulations (~ 0.5 degree resolution) Very high- resolution simulations over CC “hot spot” areas (~ 8 km resolution) Bias-adjust SSTs (Reynolds Climatology) Downscaling using CCAM in 2 stages SSTs, sea-ice, atmospheric nudging Regrid from CCAM to lat-lon grid CHPC WRC ESKOM

Simulated annual temperature anomalies relative to the climatological average

© CSIR CCAM ens-ave projected change in summer half- year (ONDJFM) average maximum temperature for vs

© CSIR CCAM ens-ave projected change in summer half- year average maximum temperature for vs

© CSIR CCAM ens-ave projected change in annual rainfall (%) for vs Southern Africa projected to become generally drier East Africa projected to become generally wetter

© CSIR CCAM ensemble: projected change in annual rainfall (%) for vs Most models project a generally drier southern Africa, but wetter East Africa Cloud band (TTT) related rainfall signal over central South Africa

© CSIR A general increase in the frequency of occurrence of extreme rainfall events (10 mm of rain falling within 24 hours over and area of 50 km x 50 km) is projected for South Africa Projected change in extreme rainfall events over South Africa

© CSIR A general increase in the frequency of occurrence of extreme rainfall events (20 mm of rain falling within 24 hours over and area of 50 km x 50 km) is projected for South Africa Projected change in extreme rainfall events over South Africa

© CSIR Summary: projected rises in temperature * Southern Africa is projected to experience rapid warming during the 21 st century * The projected rise in surface temperature over southern Africa is a robust signal – an actionable signal from the projections * Increased surface temperature implies enhanced evaporation – ti impacts on surface water resources in combination with decreasing rainfall totals * Increase in the frequencyof extreme convective storms – impacts on the frequency of occurrence of lightning and damaging winds

© CSIR Research gaps and future work: CC and the Water Sector * Climate models are capable of providing us with plausible scenarios of future climate change over southern Africa. In some case (e.g. temperature signal) the projections are sufficiently robust to be “actionable” * Extensive hydrological modelling studies are required – link between climate models and hydrological models – impacts of changing rainfall and temperature patterns on evaporation, run-off and streamflow * Lesotho Highlands water balance studies are overdue! There is a need to combine high-resolution climate modelling with hydrological modelling over this region * “We need more people!”. Research councils and universities are well- positioned to train more water-sector and climate change researchers through excellent mentoring programmes – financial support for postgraduate students crucial for success.