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Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter

Dissertation (MSc)--University of Pretoria, 2013.

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Other Authors: Dyson, Liesl L.
Format: Thesis
Language:English
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Dyson, Liesl L.
author_browse Dyson, Liesl L.
author_facet Dyson, Liesl L.
collection Thesis
dc_rights_str_mv © 2013 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, 2013.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:40:05.686Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
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:2263/31860 Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter Dyson, Liesl L. Stander, Jan Hendrik Winter, South Africa Mountains of Lesotho Humidity during snow Snowfall Weather sytems UCTD Dissertation (MSc)--University of Pretoria, 2013. South Africa is located in the sub tropics with an elevated plateau which is located approximately 1500 m above mean sea level (a.m.s.l). Every year, snow occurs on the mountains of Lesotho, but on occasions this snow descends to lower elevations which impacts on the livelihood of people. Severe weather originating from extra-tropical weather systems has been well documented in South Africa and yet very little research has been done to predict significant snowfall from these weather systems. The main aim of this research is to identify those weather systems responsible for snow and to understand the processes causing snow to form when these systems occur. A comprehensive database of significant snowfall events is supplied from 1981 to 2011. The database is subjectively classified into characteristic synoptic patterns. The snow cases are then objectively classified using self-organising maps (SOMs) to obtain synoptic configurations most typically associated with significant snowfall over South Africa. Case studies which aim to explain the synoptic conditions, formation mechanisms as well as critical surface temperature and relative humidity during snowfall events are described. This is done by analysing each case study with respect to synoptic circulations, surface observations, atmospheric soundings, satellite imagery as well as atmospheric thickness. Conclusions are drawn and critical threshold values of atmospheric thickness, surface temperature and humidity are identified when snowfall occurs. A methodical snow forecasting decision tree is devised. It takes the synoptic classification of circulation patterns during significant snowfall, atmospheric thickness, height of the freezing level, surface temperature, and relative humidity into account. This process is explained by case studies. It is recommended that results from this dissertation are made available to weather forecasters in South Africa and that the results are implemented in the operational forecasting environment. Further case study investigations are suggested, taking the mesoscale processes effects into account. am2013 Geography, Geoinformatics and Meteorology MSc Unrestricted 2013-10-01T08:25:54Z 2013-10-01T08:25:54Z 2013-09-06 2013-10-01 Dissertation Stander, JH 2013-10-01, Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/31860> D/13/9/897 http://hdl.handle.net/2263/31860 en © 2013 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 Winter, South Africa
Mountains of Lesotho
Humidity during snow
Snowfall
Weather sytems
UCTD
Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter
title Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter
title_full Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter
title_fullStr Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter
title_full_unstemmed Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter
title_short Synoptic circulation patterns and atmospheric variables associated with significant snowfall over South Africa in winter
title_sort synoptic circulation patterns and atmospheric variables associated with significant snowfall over south africa in winter
topic Winter, South Africa
Mountains of Lesotho
Humidity during snow
Snowfall
Weather sytems
UCTD
url http://hdl.handle.net/2263/31860