<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-23T04:12:15Z</responseDate><request verb="GetRecord" identifier="oai:univendspace.univen.ac.za:11602/1485" metadataPrefix="dim">https://univendspace.univen.ac.za/server/oai/request</request><GetRecord><record><header><identifier>oai:univendspace.univen.ac.za:11602/1485</identifier><datestamp>2024-09-10T14:36:49Z</datestamp><setSpec>com_11602_1928</setSpec><setSpec>com_11602_1914</setSpec><setSpec>com_11602_1897</setSpec><setSpec>com_11602_737</setSpec><setSpec>col_11602_2140</setSpec><setSpec>col_11602_738</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Nethengwe, N. S.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Chikoore, H</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Sigauke, C</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Sikhwari, Thendo</dim:field>
   <dim:field mdschema="dc" element="date">2019</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-10-21T07:25:19Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-10-21T07:25:19Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2019-09-20</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="citation">Sikhwari, Thendo (2019)  Variability and long-term trends of climate extremes over the Limpopo, South Africa, University of Venda, South Africa.&amp;lt;http://hdl.handle.net/11602/1485&amp;gt;.</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="vancouvercitation" lang="en_ZA">Sikhwari T. Variability and long-term trends of climate extremes over the Limpopo, South Africa. []. , 2019 [cited yyyy month dd]. Available from: </dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="apacitation" lang="en_ZA">Sikhwari, T. (2019). &amp;lt;i&amp;gt;Variability and long-term trends of climate extremes over the Limpopo, South Africa&amp;lt;/i&amp;gt;. (). . Retrieved from </dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="chicagocitation" lang="en_ZA">Sikhwari, Thendo. &amp;lt;i&amp;gt;&amp;quot;Variability and long-term trends of climate extremes over the Limpopo, South Africa.&amp;quot;&amp;lt;/i&amp;gt; ., , 2019. </dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="ris" lang="en_ZA">&#xd;
TY  - Dissertation&#xd;
AU  - Sikhwari, Thendo&#xd;
AB  - Climate change has a crucial impact on livelihoods, economy, and water resources&#xd;
due to the occurrence of weather and climate extreme events such as floods, droughts&#xd;
and heat waves. Extreme weather has been increasing worldwide, hence the need to&#xd;
understand their nature and trends. The aim of this study was to analyse the spatial&#xd;
variability and long-term trends of climate extremes over the Limpopo in South Africa&#xd;
from 1960 to 2014. Rainfall, temperature, and circulation fields were analysed to&#xd;
understand the extent, nature of climate extremes over the Limpopo. Extreme value&#xd;
theory (EVT) is a powerful method that was also employed in this study to provide&#xd;
statistical models for events rarely observed. R statistical software was used for&#xd;
clustering analysis which has a variety of functions for cluster analysis. Any station&#xd;
whose value is larger than 95th for any day of the season was considered as a&#xd;
widespread extreme event. The results show that the study area is highly vulnerable&#xd;
to extreme events due to its latitudinal location and low altitude. Anomalous cut-off&#xd;
lows, tropical cyclones and tropical storms are the major extreme producing systems&#xd;
affecting the Limpopo province whilst the Botswana High becomes dominant during&#xd;
heat waves and drought. Extreme weather events are common in Limpopo during&#xd;
summertime and often coincide with mature phases of the El Nino Southern&#xd;
Oscillation. In this study, after the suitable model for data was chosen, the interest was&#xd;
in deriving return levels of extreme maximum rainfall. The computed data for return&#xd;
levels predicted that the 5-year return period’s return level is approximately 223.89&#xd;
mm, which suggests that rainfall of 223.89 mm or more per month should occur at that&#xd;
station or location on the average of once every five years.&#xd;
DA  - 2019-09-20&#xd;
DB  - ResearchSpace&#xd;
DP  - Univen&#xd;
KW  - Droughts&#xd;
KW  - Extreme events&#xd;
KW  - Extreme value theory&#xd;
KW  - Floods&#xd;
KW  - Heat waves&#xd;
LK  - https://univendspace.univen.ac.za&#xd;
PY  - 2019&#xd;
T1  - Variability and long-term trends of climate extremes over the Limpopo, South Africa&#xd;
TI  - Variability and long-term trends of climate extremes over the Limpopo, South Africa&#xd;
UR  - &#xd;
ER  - &#xd;
</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">MENVSC</dim:field>
   <dim:field mdschema="dc" element="description">Department of Geography and Geo-Information Sciences</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Climate change has a crucial impact on livelihoods, economy, and water resources&#xd;
due to the occurrence of weather and climate extreme events such as floods, droughts&#xd;
and heat waves. Extreme weather has been increasing worldwide, hence the need to&#xd;
understand their nature and trends. The aim of this study was to analyse the spatial&#xd;
variability and long-term trends of climate extremes over the Limpopo in South Africa&#xd;
from 1960 to 2014. Rainfall, temperature, and circulation fields were analysed to&#xd;
understand the extent, nature of climate extremes over the Limpopo. Extreme value&#xd;
theory (EVT) is a powerful method that was also employed in this study to provide&#xd;
statistical models for events rarely observed. R statistical software was used for&#xd;
clustering analysis which has a variety of functions for cluster analysis. Any station&#xd;
whose value is larger than 95th for any day of the season was considered as a&#xd;
widespread extreme event. The results show that the study area is highly vulnerable&#xd;
to extreme events due to its latitudinal location and low altitude. Anomalous cut-off&#xd;
lows, tropical cyclones and tropical storms are the major extreme producing systems&#xd;
affecting the Limpopo province whilst the Botswana High becomes dominant during&#xd;
heat waves and drought. Extreme weather events are common in Limpopo during&#xd;
summertime and often coincide with mature phases of the El Nino Southern&#xd;
Oscillation. In this study, after the suitable model for data was chosen, the interest was&#xd;
in deriving return levels of extreme maximum rainfall. The computed data for return&#xd;
levels predicted that the 5-year return period’s return level is approximately 223.89&#xd;
mm, which suggests that rainfall of 223.89 mm or more per month should occur at that&#xd;
station or location on the average of once every five years.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="sponsorship" lang="en_US">NRF</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="uri">http://hdl.handle.net/11602/1485</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent">1 online resource (x, 104 leaves : color illustrations, color maps</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">en</dim:field>
   <dim:field mdschema="dc" element="rights">University of Venda</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Droughts</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Extreme events</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Extreme value theory</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Floods</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Heat waves</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_ZA">UCTD</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="ddc">577.220968257</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="lcsh">Climate variations -- South Africa -- Limpopo.</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="lcsh">Climate change -- South Africa -- Limpopo.</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="lcsh">Global temperature changes -- South Africa -- Limpopo.</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="lcsh">Climatology.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Variability and long-term trends of climate extremes over the Limpopo, South Africa</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Dissertation</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
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