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A Study on the predictability of seasonal temperature in South Africa
Dissertation (MSc)--University of Pretoria, 1997.
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| Format: | Thesis |
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University of Pretoria
2021
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| _version_ | 1867613698042888192 |
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| access_status_str | Open Access |
| author2 | Van Heerden, Johan |
| author_browse | Van Heerden, Johan |
| author_facet | Van Heerden, Johan |
| collection | Thesis |
| dc_rights_str_mv | © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 1997. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/82470 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:40:16.658Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/82470 A Study on the predictability of seasonal temperature in South Africa Van Heerden, Johan Landman, Willem Adolf Klopper, Emsie UCTD Seasonal forecasting South Africa Sea-surface temperature Temperature variability Canonical correlation analysis Singular value decomposition Dissertation (MSc)--University of Pretoria, 1997. An analysis of the variability and predictability of seasonal temperature over South Africa is conducted. Possible relationships between global scale sea-surface temperature fields and seasonal temperature over South Africa are sought by means of a statistical technique namely singular value decomposition. Associations between sea-surface temperature and seasonal temperature over South Africa are evident and in particular, associations between El Nino I Southern Oscillation related signals from the oceans and seasonal temperature over the eastern half of the country. Also, a long-term warming trend in the ocean temperatures have important influences on the temperature variability over South Africa. In this study canonical correlation analysis is used to construct a forecast scheme for the prediction of seasonal temperature over South Africa at different lead times. Evolutionary patterns in the ocean temperature field are used as predictors. Categorical seasonal temperatures are predicted and evaluated for an independent test period to verify the skill and therefore usefulness of such predictions. Geography, Geoinformatics and Meteorology MSc Unrestricted 2021-11-02T10:19:34Z 2021-11-02T10:19:34Z 2021 1997 Thesis * http://hdl.handle.net/2263/82470 © 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Seasonal forecasting South Africa Sea-surface temperature Temperature variability Canonical correlation analysis Singular value decomposition A Study on the predictability of seasonal temperature in South Africa |
| title | A Study on the predictability of seasonal temperature in South Africa |
| title_full | A Study on the predictability of seasonal temperature in South Africa |
| title_fullStr | A Study on the predictability of seasonal temperature in South Africa |
| title_full_unstemmed | A Study on the predictability of seasonal temperature in South Africa |
| title_short | A Study on the predictability of seasonal temperature in South Africa |
| title_sort | study on the predictability of seasonal temperature in south africa |
| topic | UCTD Seasonal forecasting South Africa Sea-surface temperature Temperature variability Canonical correlation analysis Singular value decomposition |
| url | http://hdl.handle.net/2263/82470 |