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Isentropic Analysis as a Forecasting Tool in South Africa

Dissertation (MSc (Meteorology))--University of Pretoria, 1997.

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Other Authors: Van Heerden, Johan
Format: Thesis
Language:English
Published: University of Pretoria 2022
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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 © 2020 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 (Meteorology))--University of Pretoria, 1997.
format Thesis
id oai:repository.up.ac.za:2263/85506
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:58.622Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
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:2263/85506 Isentropic Analysis as a Forecasting Tool in South Africa Van Heerden, Johan Poolman, Eugene R. De Coning, Estelle UCTD numerical models Eta model isentropic levels adiabatic conditions sloping surface three dimensional topography vertical motion tropical air mass heavy rain Dissertation (MSc (Meteorology))--University of Pretoria, 1997. Forecasting short term changes in weather is and will remain a very important but also very difficult task. In order to provide a weather forecaster with the best possible tools to make an accurate weather forecast, it was decided to research the possibility of isentropic analysis methods for South African circumstances. This study introduces the basic concepts of isentropic analysis and the way to interpret variables on isentropic surfaces. Three case studies are presented where significant weather systems influenced the country's weather. In two of the cases heavy rainfall and flooding occurred and in the last case widespread moderate falls were reported. Results of these case studies prove to be very helpful in identifying rainfall areas as well as areas where heavier precipitation could be expected. Operational use of isentropic analysis is recommended. Geography, Geoinformatics and Meteorology MSc (Meteorology) Unrestricted 2022-05-17T11:22:03Z 2022-05-17T11:22:03Z 19/10/2021 1997 Dissertation * https://repository.up.ac.za/handle/2263/85506 en © 2020 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
numerical models
Eta model
isentropic levels
adiabatic conditions
sloping surface
three dimensional
topography
vertical motion
tropical air mass
heavy rain
Isentropic Analysis as a Forecasting Tool in South Africa
title Isentropic Analysis as a Forecasting Tool in South Africa
title_full Isentropic Analysis as a Forecasting Tool in South Africa
title_fullStr Isentropic Analysis as a Forecasting Tool in South Africa
title_full_unstemmed Isentropic Analysis as a Forecasting Tool in South Africa
title_short Isentropic Analysis as a Forecasting Tool in South Africa
title_sort isentropic analysis as a forecasting tool in south africa
topic UCTD
numerical models
Eta model
isentropic levels
adiabatic conditions
sloping surface
three dimensional
topography
vertical motion
tropical air mass
heavy rain
url https://repository.up.ac.za/handle/2263/85506