Trend Analysis of Remotely Sensed Historical Rainfall in the Olifants River Watershed, South Africa

This study investigates the presence of climate change in the temporal variations of historical rainfall by utilising satellite-based precipitation data from 1993 to 2023 for the Olifants River watershed. Data were derived from the Center for Hydrometeorology and Remote Sensing (CHRS) Rainsphere system. The historical annual mean rainfall was found to be 621.45 mm, with the highest and lowest values observed in the year 2000 and 2015, respectively. A notable declining trend in annual rainfall was identified, while seasonal data showed a declining rainfall trend in Spring. It was also revealed that the spatial rainfall distribution from CHRS Rainsphere had little in common with the one derived from the observed rainfall data provided by the South African Weather Service.

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Publication Details

Journal
Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics
Published
2025-04-01
DOI
https://doi.org/10.54808/jsci.23.02.84
Primary Topic
Flood Risk Assessment and Management
Type
article
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article

Trend Analysis of Remotely Sensed Historical Rainfall in the Olifants River Watershed, South Africa

Masengo Ilunga, Matsela Tlhologelo Nkoabela
Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics
Flood Risk Assessment and Management
article

Trend Analysis of Remotely Sensed Historical Rainfall in the Olifants River Watershed, South Africa

Masengo Ilunga, Matsela Tlhologelo Nkoabela
article en

Abstract

This study investigates the presence of climate change in the temporal variations of historical rainfall by utilising satellite-based precipitation data from 1993 to 2023 for the Olifants River watershed. Data were derived from the Center for Hydrometeorology and Remote Sensing (CHRS) Rainsphere system. The historical annual mean rainfall was found to be 621.45 mm, with the highest and lowest values observed in the year 2000 and 2015, respectively. A notable declining trend in annual rainfall was identified, while seasonal data showed a declining rainfall trend in Spring. It was also revealed that the spatial rainfall distribution from CHRS Rainsphere had little in common with the one derived from the observed rainfall data provided by the South African Weather Service.

Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informaticsVol. 23(2)
University of South Africa (ZA)
Openalex Percentile: Top 87%
Flood Risk Assessment and Management
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Trend Analysis of Remotely Sensed Historical Rainfall in the Olifants River Watershed, South Africa — Masengo Ilunga, Matsela Tlhologelo Nkoabela · Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics (2025) | TGRS Research Map | TGRS