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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

How to interpret Centlec’s load shedding
2008-01-31

Everyone in South Africa is affected by power failures (load shedding). Centlec took certain measures to manage the situation. These measures are explained:

Time slots
See the following table for an indication of times when load shedding might be applied to specific areas:  http://www.centlec.co.za/power_shed/PDF/time_slots.pdf

Groups
The city was divided into six groups. This document clearly indicates which area in the city resorts under which group: http://www.centlec.co.za/power_shed/PDF/groups.pdf

According to the document, the university resorts under group 4. In the table with time slots it is the grey area.

Stages
Eskom developed three stages for load shedding. (See stage table at the bottom of the page http://www.centlec.co.za/power_shed/PDF/time_slots.pdf)
- Stage 1: Less load shedding is applied in stage 1. E.g. the UFS resorts in group 4 and on a Monday, according to stage 1, the power will not be switched off during 12:00 and 14:30 (this time slot is not highlighted in orange).
- Stage 2: More load shedding is applied in stage 2. Load shedding will be applied during stage 2 between 12:00 and 14:30 on a Monday at the UFS.
- Stage 3: All time slots are highlighted in orange, which indicates that power will be switched off for the whole duration of stage 3.

Example
Today, Tuesday, load shedding was scheduled to take place from 10:00 to 12:00 at the UFS. Currently, according to Centlec’s web site, stage 1 is active. This time slot is not marked in stage 1, therefore load shedding is not applied. Centlec gives also additional information; “No load shedding in progress.”

Keep in mind that if an area is at risk it does not automatically imply that the power will be switched off. It all depends on the request from Eskom at that particular moment whether the actual shedding is required.
 

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