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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

UFS unveils new HPC cluster
2011-04-04

Prof. Jonathan Jansen, Prof. Theuns Verschoor and staff of the UFS ICT department at the unveiling of the HPC cluster

Our university has unveiled a brand-new multimillion-rand High Performance Computing (HPC) cluster, which promises to enhance the way research is done at our university.

The new HPC cluster is a super powerful computing cluster, and already has 28 users from six university departments using it to speed up and simplify their research. The cluster of more than R2,7 million was unveiled in March 2011.
 
It boasts an incredible 800 processing cores and special high-speed data-transfer technology, to make even the most expensive home PC look like a stone-age relic.
Prof. Janse Tolmie, Senior Director: Information and Communication Technology Services (ICT Services) at the UFS, says the cluster is used to simulate experiments and their outcome electronically, using advanced software and the high processing power of the cluster.
 
The cluster is especially useful to researchers in the Chemistry, Bio-chemistry and Medical Physics departments. Prof. Tolmie says these simulations are an internationally recognised means of conducting research and it is very important for a research institution to have access to such a facility.
 
In the past, many research articles have been published by UFS researchers, based on research done using the previous incarnation of an HPC cluster at our university.
Prof. Tolmie says the cluster can also be connected to clusters at other universities and research facilities to form national or international HPC grids.
 
This will enable researchers elsewhere to access the massive processing power that UFS researchers now have at their fingertips.
 
 
Media Release
30 March 2011
Issued by: Lacea Loader
Director: Strategic Communication
Tel: 051 401 2584
Cell: 083 645 2454
E-mail: news@ufs.ac.za

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