Examining the spatiotemporal dynamics of meteorological variables in the context of
changing climate, particularly in countries where rainfed agriculture is predominant, is vital …

Northwest China is one of the most arid regions in the world and has experienced intriguing
climate warming and humidification. Nonetheless, future climate conditions in Northwest …

Background Rainfall variability exceedingly affects agriculture in Ethiopia, particularly in the
eastern region where rainfall is relatively scarce. Hence, understanding the spatiotemporal …

Highlights•The Spatio-temporal trend was investigated based on seasonal and annual
rainfall data.•Temporal trends were identified using ITA and Mann-Kendall methods.•Rainfall …

This study describes the different coping and adaptation strategies used by smallholder
farmers to mitigate the adverse impacts of climate change and variability in the central …

Background Africa is the most vulnerable continent in the world; which recurrent droughts,
extreme temperature and rainfall affects agriculture and food security. The aim of this study …

This study evaluates recent spatiotemporal variability and trends in rainfall and temperature
in the central highlands of Ethiopia by using monthly rainfall and temperature records. The …

Abstract Analysis of climate variability and trends frequently takes place at large scale. For
agricultural applications, however, highly localized climate conditions can be critically …

This study projected the impact of climate change on the amount of precipitation, seasonal
distribution, and streamflow of the Omo-gibe basin, Ethiopia. Projections of climate change …

Climate analysis at relevant time scales is important for water resources management,
agricultural planning, flood risk assessment, ecological modeling and climate change …