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12 October 2020 | Story Leonie Bolleurs | Photo Supplied
Adriaan van der Walt
Although several international studies have used temperature metrics to statistically classify their seasonal divisions, a study in which Adriaan van der Walt was involved, would be the first known publication in a South African context using temperature as classification metric.

Gone are the days when we as South Africans would experience a three-month spring season, easing into summer, and then cooling off for three months before we hit winter.

Adriaan van der Walt, Lecturer in the Department of Geography at the University of the Free State (UFS), focuses his research on biometeorology (a specialist discipline exploring the role and climate change in physical and human environments) as well as climatology and geographic information systems.

He recently published an article: ‘Statistical classification of South African seasonal divisions on the basis of daily temperature data’ in the South African Journal of Science.

In this study, which Van der Walt undertook with Jennifer Fitchett, a colleague from the University of the Witwatersrand, data on daily maximum and minimum temperatures was collected from 35 meteorological stations of the South African Weather Service, covering the period between 1980 and 2015.

They went to great lengths to ensure that they had a complete set of data before presenting it to demonstrate seasonal brackets.

First for South Africa

Their statistical seasonal brackets indicate that South Africans now experience longer summers (from October to March), autumn in April and May, winter from June to August, and spring in September.

Although considerable work has been done using rainfall to determine seasonality in Southern Africa, Van der Walt believes that these methods did not work well as there are too many inconsistencies in this approach, as identified by Roffe et al. (2019, South African Geographical Journal). To make matters more complicated – as a semi-arid region, and with desert conditions along the west coast – some regions do not have enough rainfall to use as a classifier.

Temperature, on the other hand, worked well in this study. “Temperature, by contrast, is a continuous variable, and in Southern Africa has sufficient seasonal variation to allow for successful classification,” says Van der Walt.

He continues: “Although several international studies used temperature metrics to statistically classify their seasonal divisions, this study would be the first known publication in a South African context using temperature as classification metric.”

Van der Walt says what we understand as seasons largely relates to phenology – the appearance of blossoms in spring, the colouration and fall of leaves in autumn, and the migration of birds as a few examples. “These phenological shifts are more sensitive to temperature than other climatic variables.”

Seasonal brackets

According to Van der Walt, they believe that a clearly defined and communicated method should be used in defining seasons, rather than just assigning months to seasons.

“One of the most important arguments of our work is that one needs to critically consider breaks in seasons, rather than arbitrarily placing months into seasons, and so we welcome any alternate approaches,” he says.

A number of sectors apply the temperature-based division to their benefit. “For example, in the tourism sector it is becoming increasingly important to align advertising with the season most climatically suitable for tourism,” says Van der Walt.

Temperature-based division is also used to develop adaptive strategies to monitor seasonal changes in temperature under climate change. However, Van der Walt points out that each sector will have its own way of defining seasons. “Seasonal boundaries should nevertheless be clearly communicated with the logic behind them,” he says.

News Archive

From music to theology: Stats Unit valuable in research process
2017-02-23

Description: Prof Robert Schall Tags: Prof Robert Schall

Prof Schall, head of the UFS Statistical Consultation Unit
Photo: Leonie Bolleurs

Whether it is analysing data on church attendance, climate change in the Northern Cape or injuries among elite female hockey players, the Statistical Consultation Unit at the University of the Free State (UFS) can assist researchers from the planning of research to publication therof.

Many students and researchers think that the time to consult a statistician is after their research data has been collected. According to Prof Robert Schall, head of the unit, the most significant contribution a statistician can make to a research project is often during its planning. Preferably all researchers should consult the unit early in the research process.

Statistical consultation service free for postgraduates

The consultation unit, established in 2014 in the Department of Mathematical Statistics and Actuarial Science, provides support to all UFS researchers. This service is rendered to postgraduate students at no charge.

“The unit can make a contribution throughout the research process, from the planning of the research project, through the analysis of research data, up to the publication of the findings. I have been involved in projects where, for example, a few very simple changes to the design of a questionnaire would have saved the researcher and the statistician a lot of trouble. It will be beneficial for researchers to have their questionnaires and study proposals (where relevant), reviewed by a statistician,” Prof Schall said.

“The unit can make a contribution
throughout the research process,
from the planning of the research
project, through the analysis of
research data, up to the publication
of the findings.”

Fascinating research topics deliver fascinating data
The professor assisted in a study for the Department of Soil, Crop and Climate Sciences to determine whether rainfall in the Northern Cape had changed over the past 90 years, potentially indicating climate change.

Other interesting projects he has worked on came from the Department of Exercise and Sport Sciences. “Who will not be fascinated by data sets on aspects of rugby, cricket or even netball? One significant finding was a predictor of injury in elite female hockey players. The PhD student identified a pre-season test which predicted the occurrence of an in-season injury with 100% specificity and 100% sensitivity. The finding was quite surprising, and, if the results can be replicated, obviously would be useful in the prevention of injuries,” he said.

This is, of course, not an exhaustive list of projects the unit has worked on. “Not in my wildest dreams would I have expected to be involved in projects coming from the Faculty of Theology, or from the Odeion School of Music,” Prof Schall said.

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