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Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa

Dissertation (MSc)--University of Pretoria, 2014.

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Other Authors: Landman, Willem Adolf
Format: Thesis
Language:English
Published: University of Pretoria 2014
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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 © 2014 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, 2014.
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institution University of Pretoria (South Africa)
language English
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license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
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:2263/41185 Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa Landman, Willem Adolf ableroo@gmail.com Park, Ruth Jean Conformal-Cubic Atmospheric Model (CCAM) Numerical weather prediction system UCTD Dissertation (MSc)--University of Pretoria, 2014. This research has been conducted in order to develop a short-range ensemble numerical weather prediction system over southern Africa using the Conformal-Cubic Atmospheric Model (CCAM). An ensemble prediction system (EPS) combines several individual weather model setups into an average forecast system where each member contributes to the final weather forecast. Four different EPSs were configured and rainfall forecasts simulated for seven days ahead for the summer months of January and February, 2009 and 2010, for high (15 km) and low (50 km) resolution over the southern African domain. Statistical analysis was performed on the forecasts so as to determine which EPS was the most skilful at simulating rainfall. Measurements that were used to determine the skill of the EPSs were: reliability diagrams, relative operating characteristics, the Brier skill score and the root mean square error. The results show that the largest ensemble is consistently the most skilful for all forecasts for both the high and the low resolution cases. The higher resolution forecasts were also seen to be more skilful than the forecasts made at the low resolution. These findings conclude that the largest ensemble at high resolution is the best system to predict rainfall over southern Africa using the CCAM. gm2014 Geography, Geoinformatics and Meteorology unrestricted 2014-08-12T08:47:15Z 2014-08-12T08:47:15Z 2014-04-23 2014 Dissertation Park, RJ 2014, Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/41185> E14/4/356/gm http://hdl.handle.net/2263/41185 en © 2014 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 Conformal-Cubic Atmospheric Model (CCAM)
Numerical weather prediction system
UCTD
Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa
title Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa
title_full Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa
title_fullStr Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa
title_full_unstemmed Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa
title_short Development and verification of a short-range ensemble numerical weather prediction system for Southern Africa
title_sort development and verification of a short range ensemble numerical weather prediction system for southern africa
topic Conformal-Cubic Atmospheric Model (CCAM)
Numerical weather prediction system
UCTD
url http://hdl.handle.net/2263/41185