Landman, WADeWitt, DBeraki, Asmerom F2012-04-182012-04-182011-01Landman, WA, DeWitt, D and Beraki, A.F. 2011. South African mid-summer seasonal rainfall prediction performance by a coupled ocean-atmosphere model. Clivar exchanges, vol. 16(1), pp 3-61026-0471http://eprints.soton.ac.uk/177159/1/EXCH55_VAMOS.pdfhttp://hdl.handle.net/10204/5792Copyright: 2011 The authors.Estimation of the evolution of SST anomalies, which are often relatively predictable, and subsequently employing them in atmospheric general circulation models (AGCMs), provides means of generating forecasts of seasonal-average weather (Graham et al. 2000; Goddard and Mason, 2002). Such a so-called two-tiered procedure to predict the outcome of the rainfall season has been employed in South Africa for a number of years already (e.g., Landman et al., 2001). The advent of fully coupled ocean-atmosphere models (e.g. Stockdale et al, 1998), or one-tiered systems, promised improved seasonal forecasts since in theory coupled models should eventually outperform two-tiered systems because the former is able to describe the feedback between ocean and atmosphere while the latter assumes that the atmosphere responds to SST but does not in turn affect the oceans (Copsey et al., 2006). This notion will be tested here by comparing the seasonal rainfall forecast performance over the mid-summer season of December to February (DJF) of a two-tiered system with forecasts from a fully coupled system. For both the two-tiered and fully coupled systems the same AGCM will be used.enSeasonal forecastingClimateAtmospheric general circulation modelsAGCMsRainfall seasonRainfall predicationOcean-atmosphere modelSeasonal predictionSouth African mid-summer seasonal rainfall prediction performance by a coupled ocean-atmosphere modelArticleLandman, W., DeWitt, D., & Beraki, A. F. (2011). South African mid-summer seasonal rainfall prediction performance by a coupled ocean-atmosphere model. http://hdl.handle.net/10204/5792Landman, WA, D DeWitt, and Asmerom F Beraki "South African mid-summer seasonal rainfall prediction performance by a coupled ocean-atmosphere model." (2011) http://hdl.handle.net/10204/5792Landman W, DeWitt D, Beraki AF. South African mid-summer seasonal rainfall prediction performance by a coupled ocean-atmosphere model. 2011; http://hdl.handle.net/10204/5792.TY - Article AU - Landman, WA AU - DeWitt, D AU - Beraki, Asmerom F AB - Estimation of the evolution of SST anomalies, which are often relatively predictable, and subsequently employing them in atmospheric general circulation models (AGCMs), provides means of generating forecasts of seasonal-average weather (Graham et al. 2000; Goddard and Mason, 2002). Such a so-called two-tiered procedure to predict the outcome of the rainfall season has been employed in South Africa for a number of years already (e.g., Landman et al., 2001). The advent of fully coupled ocean-atmosphere models (e.g. Stockdale et al, 1998), or one-tiered systems, promised improved seasonal forecasts since in theory coupled models should eventually outperform two-tiered systems because the former is able to describe the feedback between ocean and atmosphere while the latter assumes that the atmosphere responds to SST but does not in turn affect the oceans (Copsey et al., 2006). This notion will be tested here by comparing the seasonal rainfall forecast performance over the mid-summer season of December to February (DJF) of a two-tiered system with forecasts from a fully coupled system. For both the two-tiered and fully coupled systems the same AGCM will be used. DA - 2011-01 DB - ResearchSpace DP - CSIR KW - Seasonal forecasting KW - Climate KW - Atmospheric general circulation models KW - AGCMs KW - Rainfall season KW - Rainfall predication KW - Ocean-atmosphere model KW - Seasonal prediction LK - https://researchspace.csir.co.za PY - 2011 SM - 1026-0471 T1 - South African mid-summer seasonal rainfall prediction performance by a coupled ocean-atmosphere model TI - South African mid-summer seasonal rainfall prediction performance by a coupled ocean-atmosphere model UR - http://hdl.handle.net/10204/5792 ER -