Analysis of rainfall and temperature trends inEswatini from 1981 to 2020: A perspective ofclimate change and variability

Rainfall and temperature are key climatic indicators essential for monitoring climate variability and change. Understanding long-term trends in these parameters is crucial for evidence-based policy formulation, particularly in vulnerable regions. We examined rainfall and temperature trends in Eswatini over a 40-year period (1981–2020) using meteorological data from five physiographic regions. Trends in monthly, seasonal and annual rainfall, alongside minimum and maximum temperatures, were analysed using the Mann–Kendall test and Sen’s slope estimator. The results reveal high interannual variability and shifting seasonal precipitation patterns, with an overall decline in annual rainfall. Statistically significant declines were noted in June and October, especially in the Lowveld and Highveld regions, whereas certain summer months (December to February) recorded increasing rainfall trends at some stations. Temperature analysis indicated significant warming trends in maximum temperature at four stations (Big Bend, Mbabane, Malkerns and Nhlangano), with increases in minimum temperature most evident in Mbabane and Big Bend. A cooling trend was observed at Mhlume in the Western Lowveld, highlighting geographic temperature variability. These findings align with regional studies that have reported increased climate variability across southern Africa. The results emphasise the urgency of implementing adaptive strategies, including improved water resource management and the development of early warning systems. This research provides a foundation for informed climate policy interventions in Eswatini.

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Publication Details

Journal
South African Journal of Science
Published
2026-01-26
DOI
https://doi.org/10.17159/sajs.2026/21336
Primary Topic
Climate variability and models
Type
article
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article

Analysis of rainfall and temperature trends inEswatini from 1981 to 2020: A perspective ofclimate change and variability

Heinz Beckedahl, Caradee Y. Wright, Nomfundo Mahlangeni, Thandeka Ndlela et al.
South African Journal of Science
Climate variability and models
article

Analysis of rainfall and temperature trends inEswatini from 1981 to 2020: A perspective ofclimate change and variability

Heinz Beckedahl, Caradee Y. Wright, Nomfundo Mahlangeni, Thandeka Ndlela, Thandi Kapwata, Tracey Laban, Lungile Senteni Sifundza
article en

Abstract

Rainfall and temperature are key climatic indicators essential for monitoring climate variability and change. Understanding long-term trends in these parameters is crucial for evidence-based policy formulation, particularly in vulnerable regions. We examined rainfall and temperature trends in Eswatini over a 40-year period (1981–2020) using meteorological data from five physiographic regions. Trends in monthly, seasonal and annual rainfall, alongside minimum and maximum temperatures, were analysed using the Mann–Kendall test and Sen’s slope estimator. The results reveal high interannual variability and shifting seasonal precipitation patterns, with an overall decline in annual rainfall. Statistically significant declines were noted in June and October, especially in the Lowveld and Highveld regions, whereas certain summer months (December to February) recorded increasing rainfall trends at some stations. Temperature analysis indicated significant warming trends in maximum temperature at four stations (Big Bend, Mbabane, Malkerns and Nhlangano), with increases in minimum temperature most evident in Mbabane and Big Bend. A cooling trend was observed at Mhlume in the Western Lowveld, highlighting geographic temperature variability. These findings align with regional studies that have reported increased climate variability across southern Africa. The results emphasise the urgency of implementing adaptive strategies, including improved water resource management and the development of early warning systems. This research provides a foundation for informed climate policy interventions in Eswatini.

South African Journal of ScienceVol. 122(1/2)
South African Medical Research Council (ZA), University of Eswatini (SZ), University of Johannesburg (ZA), University of Pretoria (ZA)
Climate action
Openalex Percentile: Top 85%
Climate variability and models
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