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Modelling seasonal rainfall characteristics over South Africa

Dissertation (MSc)--University of Pretoria, 2016.

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Other Authors: Landman, Willem Adolf
Format: Thesis
Language:English
Published: University of Pretoria 2017
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access_status_str Open Access
author2 Landman, Willem Adolf
author_browse Landman, Willem Adolf
author_facet Landman, Willem Adolf
collection Thesis
dc_rights_str_mv © 2017 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, 2016.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:22.254Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/60851 Modelling seasonal rainfall characteristics over South Africa Landman, Willem Adolf steven.phakula@weathersa.co.za Beraki, Asmerom Fissehatsion Phakula, Steven UCTD Dissertation (MSc)--University of Pretoria, 2016. Aspects of seasonal forecast skill using global climate models (GCMs) are assessed over South Africa. The GCMs output is configured to predict low and high number of rainfall days exceeding predefined threshold values for the summer rainy seasons and to predict the rainfall totals of the onset of the rainy seasons for eight homogeneous rainfall regions of South Africa. Using canonical correlation analysis (CCA) as statistical downscaling tool the forecast skill levels of both coupled ocean-atmosphere and uncoupled atmospheric models are determined through retro-actively generated hindcasts. Both approaches have skill in predicting the low and high number of rainfall days exceeding predefined threshold values for the summer rainy seasons as well as rainfall totals of onset of the rainy seasons for the homogeneous rainfall regions. In addition to the forecast verification results, CCA pattern analysis is also performed to determine the dominating atmospheric circulation systems predicted to be controlling rainfall variations for the seasons of interest. CCA pattern analysis for both the GCMs indicate that when there are anomalously negative (positive) predicted 850hPa geopotential heights over South Africa, there are anomalously wet (dry) rainfall conditions over the most part of South Africa for the different seasons of interest. This work has paved the way for the operational production of seasonal rainfall characteristics over South Africa. Geography, Geoinformatics and Meteorology MSc Unrestricted 2017-06-05T12:12:08Z 2017-06-05T12:12:08Z 2017-05-10 2016 Dissertation Phakula, S 2016, Modelling intra-seasonal rainfall characteristics over South Africa, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/60851> A2017 http://hdl.handle.net/2263/60851 en © 2017 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
Modelling seasonal rainfall characteristics over South Africa
title Modelling seasonal rainfall characteristics over South Africa
title_full Modelling seasonal rainfall characteristics over South Africa
title_fullStr Modelling seasonal rainfall characteristics over South Africa
title_full_unstemmed Modelling seasonal rainfall characteristics over South Africa
title_short Modelling seasonal rainfall characteristics over South Africa
title_sort modelling seasonal rainfall characteristics over south africa
topic UCTD
url http://hdl.handle.net/2263/60851