Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
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

HEMIS training ‘shares insights across institutions’, says Prof Petersen
2017-08-22

 Description: HEMIS training ‘shares insights across institutions’ Tags: HEMIS training ‘shares insights across institutions’

UFS Rector and Vice-Chancellor Prof Francis Petersen
presents the welcoming address at the 2017 HEMIS Institute
in Bloemfontein.
Photo: Eugene Seegers

Higher education institutions such as universities need information and accurate data to make critically important management decisions. Prof Francis Petersen, Rector and Vice-Chancellor of the University of the Free State (UFS), expressed these sentiments during his introduction at the 2017 HEMIS Institute recently held in Bloemfontein.

Reporting a critical part of HE practice
The Department of Higher Education and Training (DHET) uses its Higher Education Management Information System (HEMIS) to manage and verify performance data from Higher Education Institutions (HEIs) regarding four crucial datasets, namely students, staff, space, and postdoctoral information and research fellows. HEMIS data is collected for quality control, funding, and planning purposes, in particular for steering the system and for monitoring the sector. This data must then be audited, since it is used for subsidy allocations to HEIs.

“Institutional reporting on aspects of what we do as public universities is a critical part of practice in Higher Education,” said Prof Petersen. He added, “Whether about insourcing statistics, … student accommodation, or transformation and indicators within that domain, it’s really all about accurate data with which informed, evidence-based decisions can be made. This HEMIS Institute 2017 ultimately enables us to share insights across institutions, which can grow and strengthen the sector as a whole.”

‘It’s about accurate data with
which informed decisions can
be made’—Prof Francis Petersen

Public and private HEIs attend training alongside government reps
The Institutional Information Systems Unit of the Directorate for Institutional Research and Academic Planning (DIRAP) hosted and presented the Southern African Association for Institutional Research (SAAIR) HEMIS Foundations workshop and the annual HEMIS Institute in Bloemfontein. These training opportunities were attended by university data managers and representatives from 26 public and private HEIs, as well as representatives from the Council on Higher Education (CHE), DHET, and the Namibian National Council for Higher Education (NCHE). The Foundations workshop was designed to assist those new to the platform to be better acquainted with this data management tool, while the two-day Institute was structured to answer complex questions and address issues around the use of the relevant reporting structures and software.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept