Variability and long-term trends of climate extremes over the Limpopo, South Africa

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dc.contributor.advisor Nethengwe, N. S.
dc.contributor.advisor Chikoore, H
dc.contributor.advisor Sigauke, C
dc.contributor.author Sikhwari, Thendo
dc.date 2019
dc.date.accessioned 2019-10-21T07:25:19Z
dc.date.available 2019-10-21T07:25:19Z
dc.date.issued 2019-09-20
dc.identifier.citation Sikhwari, Thendo (2019) Variability and long-term trends of climate extremes over the Limpopo, South Africa, University of Venda, South Africa.<http://hdl.handle.net/11602/1485>.
dc.description MENVSC en_US
dc.description Department of Geography and Geo-Information Sciences
dc.description.abstract Climate change has a crucial impact on livelihoods, economy, and water resources due to the occurrence of weather and climate extreme events such as floods, droughts and heat waves. Extreme weather has been increasing worldwide, hence the need to understand their nature and trends. The aim of this study was to analyse the spatial variability and long-term trends of climate extremes over the Limpopo in South Africa from 1960 to 2014. Rainfall, temperature, and circulation fields were analysed to understand the extent, nature of climate extremes over the Limpopo. Extreme value theory (EVT) is a powerful method that was also employed in this study to provide statistical models for events rarely observed. R statistical software was used for clustering analysis which has a variety of functions for cluster analysis. Any station whose value is larger than 95th for any day of the season was considered as a widespread extreme event. The results show that the study area is highly vulnerable to extreme events due to its latitudinal location and low altitude. Anomalous cut-off lows, tropical cyclones and tropical storms are the major extreme producing systems affecting the Limpopo province whilst the Botswana High becomes dominant during heat waves and drought. Extreme weather events are common in Limpopo during summertime and often coincide with mature phases of the El Nino Southern Oscillation. In this study, after the suitable model for data was chosen, the interest was in deriving return levels of extreme maximum rainfall. The computed data for return levels predicted that the 5-year return period’s return level is approximately 223.89 mm, which suggests that rainfall of 223.89 mm or more per month should occur at that station or location on the average of once every five years. en_US
dc.description.sponsorship NRF en_US
dc.description.uri http://hdl.handle.net/11602/1485
dc.format.extent 1 online resource (x, 104 leaves : color illustrations, color maps
dc.language.iso en en_US
dc.rights University of Venda
dc.subject Droughts en_US
dc.subject Extreme events en_US
dc.subject Extreme value theory en_US
dc.subject Floods en_US
dc.subject Heat waves en_US
dc.subject.ddc 577.220968257
dc.subject.lcsh Climate variations -- South Africa -- Limpopo.
dc.subject.lcsh Climate change -- South Africa -- Limpopo.
dc.subject.lcsh Global temperature changes -- South Africa -- Limpopo.
dc.subject.lcsh Climatology.
dc.title Variability and long-term trends of climate extremes over the Limpopo, South Africa en_US
dc.type Dissertation en_US

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