ResearchSpace

Towards a medium-range coastal station fog forecasting system

Show simple item record

dc.contributor.author Landman, S
dc.contributor.author Marx, E
dc.contributor.author Landman, WA
dc.contributor.author Mason, SJ
dc.date.accessioned 2014-04-10T13:27:37Z
dc.date.available 2014-04-10T13:27:37Z
dc.date.issued 2013-09
dc.identifier.citation Landman, 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 2013 en_US
dc.identifier.uri http://www.researchgate.net/publication/258255659_Towards_a_Medium-Range_Coastal_Station_Fog_Forecasting_System
dc.identifier.uri http://hdl.handle.net/10204/7358
dc.description 29th Annual conference of South African Society for Atmospheric Sciences (SASAS) 2013, Durban, South Africa, 26-27 September 2013. Abstract attached. en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;12514
dc.subject Principal Component Regression en_US
dc.subject Fog Prediction en_US
dc.subject Statistical Downscaling en_US
dc.title Towards a medium-range coastal station fog forecasting system en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Landman, S., Marx, E., Landman, W., & Mason, S. (2013). Towards a medium-range coastal station fog forecasting system. http://hdl.handle.net/10204/7358 en_ZA
dc.identifier.chicagocitation Landman, S, E Marx, WA Landman, and SJ Mason. "Towards a medium-range coastal station fog forecasting system." (2013): http://hdl.handle.net/10204/7358 en_ZA
dc.identifier.vancouvercitation Landman S, Marx E, Landman W, Mason S, Towards a medium-range coastal station fog forecasting system; 2013. http://hdl.handle.net/10204/7358 . en_ZA
dc.identifier.ris 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 - en_ZA


Files in this item

Thumbnail
Name: Landman2_2013_ABSTRACT ...
Size: 5.840Kb
Format: PDF
View/Open

This item appears in the following Collection(s)

Show simple item record