Landman, WA2012-07-252012-07-252012-06Landman, WA. Seasonal prediction for Southern Africa: Maximising the skill from forecast systems. June 2012.http://hdl.handle.net/10204/6005Presentation, June 2012.The development of seasonal forecast systems for southern Africa is presented, followed by the justification why certain model configurations have been selected in order to optimise seasonal forecast performance. The skill of the HadGEM3 coupled model of the UK Met Office as seasonal forecast system for SADC and for the global oceans is also presented, as well as examples of application forecasts of crop yield and streamflow.enSeasonal forecastingMulti-model systemsCoupled modelsHadGEM3 coupled modelClimate researchSeasonal prediction for Southern Africa: Maximising the skill from forecast systemsConference PresentationLandman, W. (2012). Seasonal prediction for Southern Africa: Maximising the skill from forecast systems. http://hdl.handle.net/10204/6005Landman, WA. "Seasonal prediction for Southern Africa: Maximising the skill from forecast systems." (2012): http://hdl.handle.net/10204/6005Landman W, Seasonal prediction for Southern Africa: Maximising the skill from forecast systems; 2012. http://hdl.handle.net/10204/6005 .TY - Conference Presentation AU - Landman, WA AB - The development of seasonal forecast systems for southern Africa is presented, followed by the justification why certain model configurations have been selected in order to optimise seasonal forecast performance. The skill of the HadGEM3 coupled model of the UK Met Office as seasonal forecast system for SADC and for the global oceans is also presented, as well as examples of application forecasts of crop yield and streamflow. DA - 2012-06 DB - ResearchSpace DP - CSIR KW - Seasonal forecasting KW - Multi-model systems KW - Coupled models KW - HadGEM3 coupled model KW - Climate research LK - https://researchspace.csir.co.za PY - 2012 T1 - Seasonal prediction for Southern Africa: Maximising the skill from forecast systems TI - Seasonal prediction for Southern Africa: Maximising the skill from forecast systems UR - http://hdl.handle.net/10204/6005 ER -