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ENSO forecasts in South Africa

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dc.contributor.author Landman, WA
dc.contributor.author Beraki, Asmerom F
dc.date.accessioned 2016-05-16T10:22:04Z
dc.date.available 2016-05-16T10:22:04Z
dc.date.issued 2015-11
dc.identifier.citation Landman W.A. and Beraki A.F. 2015. ENSO forecasts in South Africa. In: Lamont-Doherty Earth Observatory, Palisades, New York, USA, 17-18 November 2015, pp 1 en_US
dc.identifier.uri http://iri.columbia.edu/wp-content/uploads/2015/11/LandmanBeraki-SL.pdf
dc.identifier.uri http://hdl.handle.net/10204/8547
dc.description Lamont-Doherty Earth Observatory, Palisades, New York, USA, 17-18 November 2015 en_US
dc.description.abstract The SST prediction systems currently being used at the Council for Scientific and Industrial Research (CSIR) and the South African Weather Service (SAWS) are presented. In particular, the skill of these systems to predict Niño3.4 SST and how these systems have been predicting the El Niño event of 2015/16 are shown. en_US
dc.language.iso en en_US
dc.publisher International Research Institute for Climate and Society en_US
dc.relation.ispartofseries Workflow;15931
dc.subject El Niño-Southern Oscillation en_US
dc.subject ENSO en_US
dc.subject Sea-surface temperature en_US
dc.subject Seasonal forecasting en_US
dc.subject South African Weather Service en_US
dc.title ENSO forecasts in South Africa en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Landman, W., & Beraki, A. F. (2015). ENSO forecasts in South Africa. International Research Institute for Climate and Society. http://hdl.handle.net/10204/8547 en_ZA
dc.identifier.chicagocitation Landman, WA, and Asmerom F Beraki. "ENSO forecasts in South Africa." (2015): http://hdl.handle.net/10204/8547 en_ZA
dc.identifier.vancouvercitation Landman W, Beraki AF, ENSO forecasts in South Africa; International Research Institute for Climate and Society; 2015. http://hdl.handle.net/10204/8547 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Landman, WA AU - Beraki, Asmerom F AB - The SST prediction systems currently being used at the Council for Scientific and Industrial Research (CSIR) and the South African Weather Service (SAWS) are presented. In particular, the skill of these systems to predict Niño3.4 SST and how these systems have been predicting the El Niño event of 2015/16 are shown. DA - 2015-11 DB - ResearchSpace DP - CSIR KW - El Niño-Southern Oscillation KW - ENSO KW - Sea-surface temperature KW - Seasonal forecasting KW - South African Weather Service LK - https://researchspace.csir.co.za PY - 2015 T1 - ENSO forecasts in South Africa TI - ENSO forecasts in South Africa UR - http://hdl.handle.net/10204/8547 ER - en_ZA


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