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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

Census 2011 overshadowed by vuvuzela announcements
2012-11-20

Mike Schüssler, economist
Photo: Hannes Pieterse
15 November 2012

Census 2011 contains good statistics but these are overshadowed by vuvuzela announcements and a selective approach, economist Mike Schüssler said at a presentation at the UFS.

“Why highlight one inequality and not another success factor? Is Government that negative about itself?” Mr Schüssler, owner of Economist.co.za, asked.

“Why is all the good news such as home ownership, water, lights, cars, cellphones, etc. put on the back burner? For example, we have more rooms than people in our primary residence. Data shows that a third of Africans have a second home. Why are some statistics that are racially based not made available, e.g. orphans? So are “bad” statistics not always presented?”

He highlighted statistics that did not get the necessary attention in the media. One such statistic is that black South Africans earn 46% of all income compared to 39% of whites. The census also showed that black South Africans fully own nearly ten times the amount of houses that whites do. Another statistic is that black South Africans are the only population group to have a younger median age. “This is against worldwide trends and in all likelihood has to do with AIDS. It is killing black South Africans more than other race groups.”

Mr Schüssler also gave insight into education. He said education does count when earnings are taken into account. “I could easily say that the average degree earns nearly five times more than a matric and the average matric earns twice the pay of a grade 11.”

He also mentioned that people lie in surveys. On the expenditure side he said, “People apparently do not admit that they gamble or drink or smoke when asked. They also do not eat out but when looking at industry and sector sales, this is exposed and the CPI is, for example, reweighted. They forget their food expenditure and brag about their cars. They seemingly spend massively on houses but little on maintenance. They spend more than they earn.”

“On income, the lie is that people forget or do not know the difference between gross and net salaries. People forget garnishee orders, loan repayments and certainly do not have an idea what companies pay on their behalf to pensions and medical aid. People want to keep getting social grants so they are more motivated to forget income. People are scared of taxes too so they lower income when asked. They spend more than they earn in many categories.”

On household assets Mr Schüssler said South Africans are asset rich but income poor. Over 8,3 million black African families stay in brick or concrete houses out of a total of 11,2 million total. About 4,9 million black families own their own home fully while only 502 000 whites do (fully paid off or nearly ten times more black families own their own homes fully). Just over 880 000 black South Africans are paying off their homes while 518 000 white families are.

Other interesting statistics are that 13,2 million people work, 22,5 million have bank accounts, 19,6 million have credit records. Thirty percent of households have cars, 90% of households have cellphones and 80% of households have TVs.
 

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