Analysis of past and future temperature variability and change in Southern Ethiopia

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dc.contributor.author Alefu Chinasho
dc.date.accessioned 2025-06-11T08:32:39Z
dc.date.available 2025-06-11T08:32:39Z
dc.date.issued 2023-04
dc.identifier.issn 978-0-12-800075-5
dc.identifier.uri http://hdl.handle.net/123456789/2370
dc.description.abstract Purpose– This study aims to analyze the temperature variability and change for the past 30years (1990–2019) and the future 60years (2030s, 2050s and 2070s) in Wolaita Zone and the surroundings,in Southern Ethiopia. Design/methodology/approach– The temperature (maximum and minimum) data of the past 30years (1990–2019) of ten meteorological stations and the future (2021–2080) data of regional climate models (RCMs) under two representative concentration pathways (RCP4.5 and RCP8.5) were used in this study. The accuracy of RCMs in representing observed temperature data was evaluated against mean absolute error, root mean-square error, percent bias, Nash–Sutcliffe measure of efficiency, index of agreement (d) and coefficient of determination (R2). The temperature variability was analyzed using the coefficient of variation, and the trend wasdetermined using theMann–Kendall trend andSen’s slope tests. Findings– The results indicate that the past maximum (Tmax) and minimum (Tmin) temperatures showed low variability (CV = 4.3%) with consistently increasing trends. Similarly, Tmax and Tmin are projected to have low variability in the future years, with upward trends. The Tmax and Tmin are projected to deviate by 0.7°C–1.2°C, 1.3°C–2.2°C and 1.5°C–3.2°C by 2030s, 2050s and 2070s, respectively, under RCP4.5 and RCP8.5, from the baseline. Thus, it can be concluded that temperature has low variability in all periods, with consistently increasing trends. The increasing temperature could have been affecting agricultural production systems in Southern Ethiopia. Research limitations/implications– This research did not remove the uncertainties of models (inherited errors of models) in future temperature projections. However, this study did not have any limitation. Therefore, individuals or organizations working on agricultural productivity, food security and sustainable development canusetheresults and recommendations. Practical implications– The globe has been warming due to the increasing temperature; as a result, many adaptation and mitigation measures have been suggested globally and nationally (IPCC, 2021). FAO (2017) indicates that the level of vulnerability to the impacts of climate change varies with geographic location, economy and demography; the adaptation measures need to be local. The detailed information on temperature variability and change in the past and future helps to understand the associated negative impacts on agriculture, hydrology, biodiversity, environment and human well-being, among others. Social implications– The projected future climate pattern helps the country devise proactive adaptation and mitigation measures for the associated damages at different levels (from local to national). This could improve the resilience of farmers and the country to climate change impacts. This contributes to achieving sustainable development goals (e.g. no poverty, zero hunger and climate action). This is because the agriculture sector in Ethiopia accounts for 80% of employment, 33% of the gross domestic product and 76% of exports (EPRSS, 2023) en_US
dc.description.sponsorship amu en_US
dc.language.iso en en_US
dc.publisher IJCCSM en_US
dc.subject Trend, Climate, Maximum temperature, Minimum temperature, Wolaita zone en_US
dc.title Analysis of past and future temperature variability and change in Southern Ethiopia en_US
dc.type Other en_US


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