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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

‘Miratho’ seeks to drive policy-changing research through international collaboration
2017-09-29

Description: ' AM Bathmaker CRHED Miratho Tags: AM Bathmaker CRHED Miratho

From the left: Phathu Mudau (Thusanani Foundation),
Prof Melanie Walker (UFS), Prof Ann-Marie Bathmaker
(University of Birmingham), Prof Monica McLean
(University of Nottingham), and Fulu Ratshisusu
(Thusanani Foundation).

Photo: Eugene Seegers

Miratho is a TshiVenda word that refers to informal, self-made bridges, which are usually built by rural community members during floods or other natural disasters. These are usually dangerous, unstable constructions, and only the brave tend to use them. When community members build miratho, though, they create opportunities for stranded students to attend school. Miratho symbolise the determination to access education even in the face of danger, and working with others to make progress.

The Miratho Research Project is led by the Centre for Research on Higher Education and Development (CRHED) at the University of the Free State (UFS), in partnership with the Universities of Birmingham and Nottingham in the UK, and the Thusanani Foundation. The project is jointly funded by the Economic and Social Research Council and the Department for International Development in the UK, as well as the National Research Foundation in South Africa. The project research team consists of Prof Melanie Walker, Prof Merridy Wilson-Strydom and Dr Mikateko Höppener from CRHED at the UFS, Prof Monica McLean from the University of Nottingham, and Prof Ann-Marie Bathmaker from the University of Birmingham.

Miratho is a four-year project, stretching until August 2020, which seeks to investigate multidimensional dynamics shaping or inhibiting disadvantaged students’ capabilities to access higher education, participate and succeed in it, as well as move from higher education to work. By means of a systematic, integrated and longitudinal mixed-methods investigation, Prof Walker and her team, in close collaboration with the Thusanani Foundation, aim to develop an inclusive, capabilities-based higher education Index, which in turn would serve to inform policy and practice interventions that challenge inequalities that have an impact on learning outcomes.

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