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

dc.contributor.authorPhakula, Steven
dc.contributor.authorLandman, Willem Adolf
dc.contributor.authorEngelbrecht, Christina Johanna
dc.date.accessioned2025-02-13T04:39:00Z
dc.date.available2025-02-13T04:39:00Z
dc.date.issued2024-01
dc.descriptionDATA AVAILABILITY STATEMENT : Data openly available in a public repository that issues datasets with DOIs.en_US
dc.description.abstractSubseasonal-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.departmentGeography, Geoinformatics and Meteorologyen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-13:Climate actionen_US
dc.description.sdgSDG-15:Life on landen_US
dc.description.sponsorshipNRF ACCESS through ACyS Project; University of Pretoria Postgraduate Progragramme; South African Weather Service.en_US
dc.description.urihttps://rmets.onlinelibrary.wiley.com/journal/14698080en_US
dc.identifier.citationPhakula, 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.issn1350-4827 (print)
dc.identifier.issn1469-8080 (online)
dc.identifier.other10.1002/met.2170
dc.identifier.urihttp://hdl.handle.net/2263/100799
dc.language.isoenen_US
dc.publisherWileyen_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.subjectS2S Predictionsen_US
dc.subjectSources of predictabilityen_US
dc.subjectSouthern hemisphereen_US
dc.subjectSouthern Africaen_US
dc.subjectSubseasonal-to-seasonal (S2S)en_US
dc.subjectSDG-13: Climate actionen_US
dc.subjectSDG-15: Life on landen_US
dc.titleLiterature survey of subseasonal-to-seasonal predictions in the southern hemisphereen_US
dc.typeArticleen_US

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