Landman, SMarx, ELandman, WAMason, SJ2014-04-102014-04-102013-09Landman, S, Marx, E, Landman, W.A and Mason, S.J. 2013. Towards a medium-range coastal station fog forecasting system. In: 29th Annual conference of South African Society for Atmospheric Sciences (SASAS) 2013, Durban, South Africa, 26-27 September 2013http://www.researchgate.net/publication/258255659_Towards_a_Medium-Range_Coastal_Station_Fog_Forecasting_Systemhttp://hdl.handle.net/10204/735829th Annual conference of South African Society for Atmospheric Sciences (SASAS) 2013, Durban, South Africa, 26-27 September 2013. Abstract attached.An empirical downscaling technique to predict daily fog occurrence at Cape Town International Airport from low-level atmospheric circulation is developed by using the Principal Component Regression option of the Climate Predictability Tool. NCEP 12UTC sea-level pressure data fields are the predictors in the empirical model and the occurrence of fog the next day the predictand. Probabilistic fog predictions are tested over an independent 365 day period and the skill is represented by the ability of the model to discriminate fog days from non-fog days and also to test the reliability of the forecasts.enPrincipal Component RegressionFog PredictionStatistical DownscalingConference PresentationLandman, S., Marx, E., Landman, W., & Mason, S. (2013). Towards a medium-range coastal station fog forecasting system. http://hdl.handle.net/10204/7358Landman, S, E Marx, WA Landman, and SJ Mason. "Towards a medium-range coastal station fog forecasting system." (2013): http://hdl.handle.net/10204/7358Landman S, Marx E, Landman W, Mason S, Towards a medium-range coastal station fog forecasting system; 2013. http://hdl.handle.net/10204/7358 .TY - Conference Presentation AU - Landman, S AU - Marx, E AU - Landman, WA AU - Mason, SJ AB - An empirical downscaling technique to predict daily fog occurrence at Cape Town International Airport from low-level atmospheric circulation is developed by using the Principal Component Regression option of the Climate Predictability Tool. NCEP 12UTC sea-level pressure data fields are the predictors in the empirical model and the occurrence of fog the next day the predictand. Probabilistic fog predictions are tested over an independent 365 day period and the skill is represented by the ability of the model to discriminate fog days from non-fog days and also to test the reliability of the forecasts. DA - 2013-09 DB - ResearchSpace DP - CSIR KW - Principal Component Regression KW - Fog Prediction KW - Statistical Downscaling LK - https://researchspace.csir.co.za PY - 2013 T1 - Towards a medium-range coastal station fog forecasting system TI - Towards a medium-range coastal station fog forecasting system UR - http://hdl.handle.net/10204/7358 ER -