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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

Latest information technology employed to make learning in Disaster Management easy
2014-10-20



Prof Dusan Sakulski
Photo: Leonie Bolleurs
Live, colourful, interactive, real-time-calculated. This is how Prof Dusan Sakulski, researcher and lecturer from the UFS’s Disaster Management Training and Education Centre for Africa (DiMTEC), describes his e-learning platform implemented in this department.

Rather than producing research that gathers dust somewhere in a cabinet, Prof Sakulski believes that research should be used to make life easier, not only for society, but also for his students.
 
This educational civil engineer, who is responsible for information technology implementation in disaster risk management, developed through his research several programs to optimise the three contact sessions DiMTEC students have to attend each year.
 
One of the initiatives implemented by Prof Sakulski and his daughter Teodora, was the recording, editing and compiling of theoretical lessons and making it available to students online. “Students then don’t have the excuse of missing a class. Furthermore, it allows them to rather focus on group work during contact sessions and to discuss problems they encountered with the work,” he says.
 
Students also have access to an early-warning system portal for the prediction of hazards, including droughts, floods, rain and temperature. In the disaster-risk environment, this program is very useful, not only for students, but also for practitioners working with this kind of data on a daily basis. The operational and educational application works in real time – with the click of a mouse students and practitioners have access to information on current weather conditions. Indicators for possible natural disasters are also built into this program. Truly a useful application when you are working in the field of disaster risk management.

Difficult and technical data are presented live, with information that is colourful, interactive, real-time-calculated and audible, thanks to embedded mathematical language. In this way, students can learn, memorise and understand their work better.


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