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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

Prof Finkelstein current and only A-rated researcher in Probability and Statistics in SA
2014-10-28



Prof Maxim Finkelstein
Photo: Johan Roux
Prof Maxim Finkelstein from the Department of Mathematical Statistics at the University of the Free State (UFS) received an A-rating from the National Research Foundation (NRF). This makes him the only A-rated researcher in ‘Probability and Statistics’ regarding Mathematical Sciences in the country.

According to the NRF-rating process, a person with an A-rating is a world leader in his field. 

Prof Jonathan Jansen, Vice-Chancellor and Rector, said: "I am absolutely delighted for Professor Finkelstein and for the fact that this is one of the clearest signs that the UFS has significantly increased its standards of research across the institution as a whole."

Prof Finkelstein says this rating means a great deal to him, since it is a reflection of his dedication and perseverance.

“Of course, the rating is not a goal in itself,” Prof Finkelstein says. “The goal is the high quality research and the rating is just an objective indication of this. Along with the satisfaction, this rating brings the responsibility for maintaining this high status in the future.”

Prof Finkelstein conducts his general research in the field of ‘Probability and Statistics’, but his specific area of focus is ‘Stochastic Modelling’. Prof Finkelstein solely lectures postgraduate students and also mentors a few master’s and PhD students. This affords him the time to mainly concentrate on his research.

“Finally, I wish to emphasise the fact that high-quality research became the prime goal at the UFS,” says Prof Finkelstein. He underscores the efforts of the Vice-Chancellor and the Vice-Rector: Research in creating excellent possibilities for researchers. This has already resulted in remarkable improvements in the UFS’s research outputs – and consequently an increase in the number of rated researchers at the university.

A total of 119 UFS researchers currently have evaluation and rating status from the NRF, says Nico Benson, Deputy Director: Research Development. Currently (October 2014) 29 researchers are still waiting for response from the NRF regarding applications submitted. A total of 16 ratings are already known. On the Qwaqwa Campus of the UFS, five researchers are rated.

Prof Finkelstein's A-rating will become effective from 1 January 2015. Ratings are valid for a period of six years and researchers are invited to apply for re-evaluation in the fifth year.


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