Olivier, CLandman, WABeraki, Asmerom F2014-04-102014-04-102013-09Olivier, C, Landman, W.A and Beraki, A.F. 2013. River-flow predictions for the South African mid-summer using a coupled general circulation model. In: 29th Annual conference of South African Society for Atmospheric Sciences (SASAS) 2013, Durban, 26-27 September 2013http://hdl.handle.net/10204/733429th Annual conference of South African Society for Atmospheric Sciences (SASAS) 2013, Durban, 26-27 September 2013There are limited sources of streamflow data available in South Africa. These include simulated streamflow for catchments across South Africa and measured river-flow at specific rivers around the country. Given that a number of studies has been done on the prediction of simulated streamflow, and only one recent study on a limited number of measured river-flow stations, there is a need for a measured national river-flow dataset that previous results of streamflow prediction can be compared against. This study demonstrates the seasonal-to-interannual predictability of river-flow over the summer rainfall areas of South Africa by using various fields from a coupled general circulation model as predictors in statistical post-processing system.enSeasonal streamflowHydrologySouth African mid-summerTropical climate driversConference PresentationOlivier, C., Landman, W., & Beraki, A. F. (2013). River-flow predictions for the South African mid-summer using a coupled general circulation model. http://hdl.handle.net/10204/7334Olivier, C, WA Landman, and Asmerom F Beraki. "River-flow predictions for the South African mid-summer using a coupled general circulation model." (2013): http://hdl.handle.net/10204/7334Olivier C, Landman W, Beraki AF, River-flow predictions for the South African mid-summer using a coupled general circulation model; 2013. http://hdl.handle.net/10204/7334 .TY - Conference Presentation AU - Olivier, C AU - Landman, WA AU - Beraki, Asmerom F AB - There are limited sources of streamflow data available in South Africa. These include simulated streamflow for catchments across South Africa and measured river-flow at specific rivers around the country. Given that a number of studies has been done on the prediction of simulated streamflow, and only one recent study on a limited number of measured river-flow stations, there is a need for a measured national river-flow dataset that previous results of streamflow prediction can be compared against. This study demonstrates the seasonal-to-interannual predictability of river-flow over the summer rainfall areas of South Africa by using various fields from a coupled general circulation model as predictors in statistical post-processing system. DA - 2013-09 DB - ResearchSpace DP - CSIR KW - Seasonal streamflow KW - Hydrology KW - South African mid-summer KW - Tropical climate drivers LK - https://researchspace.csir.co.za PY - 2013 T1 - River-flow predictions for the South African mid-summer using a coupled general circulation model TI - River-flow predictions for the South African mid-summer using a coupled general circulation model UR - http://hdl.handle.net/10204/7334 ER -