This study aims to investigate spatiotemporal variability, trends, and anomaly in rainfall and temperature in the Sidama region, Ethiopia. The TerraClimate gridded dataset on a monthly time scale for 30 years (1991–2020) with a horizontal resolution of approximately 4 km was used for the study. Trends in annual and seasonal rainfall and temperature were assessed using a nonparametric test (Mann-Kendal test) and Sen’s slope to test the statistical significance and magnitude of trends (increase/decrease), respectively. Our findings revealed that annual rainfall, summer (Hawado), and spring (Badhessa) rainfall have shown an increasing trend in most parts of the region, except for its northwest parts. We found a low annual rainfall variability (CV < 13%) over the southeastern and northwestern parts of the region. Rainfall variability revealed the difference in both time and space across the region. Six drought years (1999, 2001, 2002, 2003, 2012, and 2019) with different magnitudes were identified across the region. Annual average maximum (up to 0.4 °C decade−1) and minimum (up to 0.25 °C decade−1) temperatures revealed significantly increasing trends across the region. The standardized anomaly in the mean annual temperature indicated that the years in the recent decade (2011–2020) are getting warmer compared to the past two decades (1991–2010) due to natural and anthropogenic activities causing weather extremes in the region. The results of this study for rainfall contradict the other studies in the rift valley part of the region. Therefore, we suggest appropriate climate change adaptation strategies so that there is high rainfall and temperature variability across the region and between seasons.

No abstract

This study aims to investigate spatiotemporal variability, trends, and anomaly in rainfall and temperature in the Sidama region, Ethiopia. The TerraClimate gridded dataset on a monthly time scale for 30 years (1991–2020) with a horizontal resolution of approximately 4 km was used for the study. Trends in annual and seasonal rainfall and temperature were assessed using a nonparametric test (Mann-Kendal test) and Sen’s slope, to test the statistical significance and magnitude of trends (increase/decrease), respectively. Our findings revealed that annual rainfall, summer (Hawado), and spring (Badhessa) rainfall have shown an increasing trend in most parts of the region, except for its northwest parts. We found a low annual rainfall variability (CV < 13%) over the southeastern and northwestern parts of the region. Rainfall variability revealed the difference in both time and space across the region. Six drought years (1999, 2001, 2002, 2003, 2012, and 2019) with different magnitudes were identified across the region. Annual average maximum (up to 0.4°C decade–1) and minimum (up to 0.25°C decade–1) temperatures revealed significantly increasing trends across the region. The standardized anomaly in the mean annual temperature indicated that the years in the recent decade (2011–2020) are getting warmer compared to the past two decades (1991–2010) due to climate change and other local and regional factors that cause weather extremes in the region. The results of this study for rainfall contradict the other studies in the rift valley part of the region. Therefore, we suggest the design and implementation of locally driven climate change adaptation strategies so that there is high rainfall and temperature variability across the region and between seasons.

No abstract

Indigenous weather forecasting (IWF) is practised by various communities around the world. Access to meteorological weather forecasting is limited in eastern Africa’s pastoral regions. As a result, pastoralists frequently rely on indigenous weather forecasting indicators. This paper investigates the use of IWF in drought forecasting among Gujii pastoralists in southern Ethiopia. To collect data, household surveys, focus group discussions, and key informant interviews were used. Furthermore, meteorological data were used to determine the frequency of drought events in the area. A comparison was made between IWF and data from the Ethiopian National Metrological Service Agency to ensure consistency of the results of IWF and climatic data. For quantitative data analysis, descriptive statistics was used, while hermeneutic and narrative analyses were used for qualitative data analysis. Pastoralists have used a variety of weather forecasting indicators, such as reading livestock intestines, observing animal and insect behaviours, and interpreting the star and moon alignment. Both the indigenous drought event forecasting result and the drought history result from the meteorological agency indicate the presence of drought in the area. However, several internal and external factors are contributing to IWF’s gradual decline. Religious teachings, technology, and education were identified as external factors, while the growing generation gap was identified as an internal factor. Thus, to increase the accuracy of forecasting of weather events and improve pastoralist’s prediction capacity, the integration of this knowledge is highly appreciated.