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A short-range ensemble prediction system for southern Africa

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dc.contributor.author Park, R
dc.contributor.author Landman, WA
dc.contributor.author Engelbrecht, F
dc.date.accessioned 2012-10-30T12:44:02Z
dc.date.available 2012-10-30T12:44:02Z
dc.date.issued 2012-10
dc.identifier.citation Park, R, Landman, WA and Engelbrecht, F. A short-range ensemble prediction system for southern Africa. 4th CSIR Biennial Conference: Real problems relevant solutions, CSIR, Pretoria, 9-10 October 2012 en_US
dc.identifier.uri http://hdl.handle.net/10204/6248
dc.description 4th CSIR Biennial Conference: Real problems relevant solutions, CSIR, Pretoria, 9-10 October 2012 en_US
dc.description.abstract Using the Conformal-Cubic Atmospheric Model (CCAM), the project shows that the largest ensemble at high resolution is the best system to predict rainfall over southern Africa. Future research will explore whether the CCAM at higher resolution and with an ensemble system larger than eight members could produce even better rainfall forecasts. en_US
dc.language.iso en en_US
dc.subject Conformal-Cubic Atmospheric Model en_US
dc.subject CCAM en_US
dc.subject Rainfall prediction en_US
dc.subject Rainfall forecast en_US
dc.subject Rain en_US
dc.subject Weather prediction en_US
dc.subject Ensemble prediction system en_US
dc.subject EPS en_US
dc.title A short-range ensemble prediction system for southern Africa en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Park, R., Landman, W., & Engelbrecht, F. (2012). A short-range ensemble prediction system for southern Africa. http://hdl.handle.net/10204/6248 en_ZA
dc.identifier.chicagocitation Park, R, WA Landman, and F Engelbrecht. "A short-range ensemble prediction system for southern Africa." (2012): http://hdl.handle.net/10204/6248 en_ZA
dc.identifier.vancouvercitation Park R, Landman W, Engelbrecht F, A short-range ensemble prediction system for southern Africa; 2012. http://hdl.handle.net/10204/6248 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Park, R AU - Landman, WA AU - Engelbrecht, F AB - Using the Conformal-Cubic Atmospheric Model (CCAM), the project shows that the largest ensemble at high resolution is the best system to predict rainfall over southern Africa. Future research will explore whether the CCAM at higher resolution and with an ensemble system larger than eight members could produce even better rainfall forecasts. DA - 2012-10 DB - ResearchSpace DP - CSIR KW - Conformal-Cubic Atmospheric Model KW - CCAM KW - Rainfall prediction KW - Rainfall forecast KW - Rain KW - Weather prediction KW - Ensemble prediction system KW - EPS LK - https://researchspace.csir.co.za PY - 2012 T1 - A short-range ensemble prediction system for southern Africa TI - A short-range ensemble prediction system for southern Africa UR - http://hdl.handle.net/10204/6248 ER - en_ZA


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