Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere
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 t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Meteorological Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/met.2170 |
| _version_ | 1797293755516059648 |
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| author | Steven Phakula Willem A. Landman Christien J. Engelbrecht |
| author_facet | Steven Phakula Willem A. Landman Christien J. Engelbrecht |
| author_sort | Steven Phakula |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-07T21:19:24Z |
| format | Article |
| id | doaj.art-e40caa42389b4768abf7bb794654d253 |
| institution | Directory Open Access Journal |
| issn | 1350-4827 1469-8080 |
| language | English |
| last_indexed | 2024-03-07T21:19:24Z |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Meteorological Applications |
| spelling | doaj.art-e40caa42389b4768abf7bb794654d2532024-02-27T15:02:37ZengWileyMeteorological Applications1350-48271469-80802024-01-01311n/an/a10.1002/met.2170Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphereSteven Phakula0Willem A. Landman1Christien J. Engelbrecht2South African Weather Service Pretoria South AfricaDepartment of Geography, Geoinformatics and Meteorology University of Pretoria Pretoria South AfricaSouth African Weather Service Pretoria South AfricaAbstract 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.https://doi.org/10.1002/met.2170S2S predictionssources of predictabilitysouthern hemispheresouthern Africa |
| spellingShingle | Steven Phakula Willem A. Landman Christien J. Engelbrecht Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere Meteorological Applications S2S predictions sources of predictability southern hemisphere southern Africa |
| title | Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere |
| title_full | Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere |
| title_fullStr | Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere |
| title_full_unstemmed | Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere |
| title_short | Literature survey of subseasonal‐to‐seasonal predictions in the southern hemisphere |
| title_sort | literature survey of subseasonal to seasonal predictions in the southern hemisphere |
| topic | S2S predictions sources of predictability southern hemisphere southern Africa |
| url | https://doi.org/10.1002/met.2170 |
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