Literature survey of subseasonal-to-seasonal predictions in the southern hemisphere

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dc.contributor.author Phakula, Steven
dc.contributor.author Landman, Willem Adolf
dc.contributor.author Engelbrecht, Christina Johanna
dc.date.accessioned 2025-02-13T04:39:00Z
dc.date.available 2025-02-13T04:39:00Z
dc.date.issued 2024-01
dc.description DATA AVAILABILITY STATEMENT : Data openly available in a public repository that issues datasets with DOIs. en_US
dc.description.abstract Subseasonal-to-seasonal (S2S) prediction has gained momentum in the recent past as a need for predictions between the weather forecasting timescale and seasonal timescale exists. The availability of S2S databases makes prediction and predictability studies possible over all the regions of the globe. Most S2S studies are, however, relevant to the northern hemisphere. In this review, the S2S literature relevant to the southern hemisphere (SH) are presented. Predictive skill, sources of predictability, and the application of S2S predictions are discussed. Indications from the subseasonal predictability studies for the SH regions suggest that predictive skill is limited to 2 weeks in general, particularly for temperature and rainfall, which are the variables most frequently investigated. However, temperature has enhanced skill compared to rainfall. More S2S prediction studies that include the quantification of the sources of predictability and the identification of windows of opportunity need to be conducted for the SH, particularly for the southern African region. The African continent is vulnerable to weather- and climate-related disasters, and S2S forecasts can assist in alleviating the risk of such disasters. en_US
dc.description.department Geography, Geoinformatics and Meteorology en_US
dc.description.librarian am2024 en_US
dc.description.sdg SDG-13:Climate action en_US
dc.description.sdg SDG-15:Life on land en_US
dc.description.sponsorship NRF ACCESS through ACyS Project; University of Pretoria Postgraduate Progragramme; South African Weather Service. en_US
dc.description.uri https://rmets.onlinelibrary.wiley.com/journal/14698080 en_US
dc.identifier.citation Phakula, S., Landman, W. A., & Engelbrecht, C. J. (2024). Literature survey of subseasonal-to-seasonal predictions in the southern hemisphere. Meteorological Applications, 31(1), e2170. https://DOI.org/10.1002/met.2170. en_US
dc.identifier.issn 1350-4827 (print)
dc.identifier.issn 1469-8080 (online)
dc.identifier.other 10.1002/met.2170
dc.identifier.uri http://hdl.handle.net/2263/100799
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.rights © 2024 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License. en_US
dc.subject S2S Predictions en_US
dc.subject Sources of predictability en_US
dc.subject Southern hemisphere en_US
dc.subject Southern Africa en_US
dc.subject Subseasonal-to-seasonal (S2S) en_US
dc.subject SDG-13: Climate action en_US
dc.subject SDG-15: Life on land en_US
dc.title Literature survey of subseasonal-to-seasonal predictions in the southern hemisphere en_US
dc.type Article en_US


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