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Capability of CORDEX RCMs in simulating extreme rainfall events over South africa

Includes bibliographical references.

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Bibliographic Details
Main Author: Abba Omar, Sabina
Other Authors: Abiodun, Babatunde Joseph
Format: Thesis
Language:English
Published: Department of Environmental and Geographical Science 2014
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access_status_str Open Access
author Abba Omar, Sabina
author2 Abiodun, Babatunde Joseph
author_browse Abba Omar, Sabina
Abiodun, Babatunde Joseph
author_facet Abiodun, Babatunde Joseph
Abba Omar, Sabina
author_sort Abba Omar, Sabina
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/9103
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:13.838Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Environmental and Geographical Science
publisherStr Department of Environmental and Geographical Science
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/9103 Capability of CORDEX RCMs in simulating extreme rainfall events over South africa Abba Omar, Sabina Abiodun, Babatunde Joseph Includes bibliographical references. In South Africa, extreme rainfall events often lead to widespread destruction, damage infrastructure, displace communities, strain water management and even destroy lives. Past studies have shown that reliable predictions of extreme rainfall events from regional climate models (RCMs) could help reduce the impact of these events. The present study evaluates the ability of nine RCMs in simulating extreme rainfall events over South Africa, focusing on the Western Cape (WC) and east coast (EC) areas. This study defines an extreme rainfall over a location as rainfall that is equal to or above the 95th percentile of the rainfall distribution at that location, and defines widespread extreme rainfall events (WEREs) over an area as events during which more than 50 of the grid-points in the area experience extreme rainfall. The 95th percentile threshold values were calculated over 11 years (1998-2008) of South Africa’s daily rainfall data from the nine RCMs (CCLM, REMO, PRECIS, CRCM5, ARPEGE, REGCM3, WRF, RACMO and RCA35), which participated in the Coordinated Regional Climate Downscaling Experiment (CORDEX) and used ERA-Interim (ERAINT) as their boundary forcing. The simulations were compared to two observation datasets (TRMM and GPCP), and to ERAINT rainfall data to understand whether these RCMs improve on the results from ERAINT. A self organizing map (SOM) was used to characterize WEREs identified in all the datasets into archetypal groups, and ERAINT data is used to describe the underlying circulations for each archetypal rainfall pattern. The number of WEREs mapped to each rainfall pattern for each dataset allows us to get an idea of whether certain RCMs are more likely to simulate certain rainfall patterns. 2014-11-05T03:41:28Z 2014-11-05T03:41:28Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/9103 eng application/pdf Department of Environmental and Geographical Science Faculty of Science University of Cape Town
spellingShingle Abba Omar, Sabina
Capability of CORDEX RCMs in simulating extreme rainfall events over South africa
thesis_degree_str Master's
title Capability of CORDEX RCMs in simulating extreme rainfall events over South africa
title_full Capability of CORDEX RCMs in simulating extreme rainfall events over South africa
title_fullStr Capability of CORDEX RCMs in simulating extreme rainfall events over South africa
title_full_unstemmed Capability of CORDEX RCMs in simulating extreme rainfall events over South africa
title_short Capability of CORDEX RCMs in simulating extreme rainfall events over South africa
title_sort capability of cordex rcms in simulating extreme rainfall events over south africa
url http://hdl.handle.net/11427/9103
work_keys_str_mv AT abbaomarsabina capabilityofcordexrcmsinsimulatingextremerainfalleventsoversouthafrica