Ethiopia

This paper answers the question: what is the state of knowledge of early warning and early action (EWEA) for climate hazards in countries affected by armed conflict and high levels of forced displacement?

This study analyzed twenty-eight flood conditioning factors (FCFs) derived from open-access earth observation datasets to develop a flood susceptibility prediction (FSP) model for a highly urbanized Akaki catchment, which hosts and surrounds Addis Ababa.

This study integrates a citizen science approach into existing flood Early warning systems (EWSs) to enhance inclusivity, incorporate local perspectives, and ensure equitable expertise distribution in flood early warning.

This analysis presents the impact of near-future climate change on crop yields in Ethiopia through crop variability maps, supporting immediate programming decisions, strategic investments, and activity priorities.

This study tests the use of relevant global terrain, rainfall, and flood hazard data products in a flood hazard and exposure assessment framework covering Addis Ababa, Ethiopia, showing particularly

The CGIAR Research Initiative on Climate Resilience has developed and implemented a suite of innovative instruments. This brief examines the potential of these bundled financial solutions in enhancing smallholder farmers' resilience to climate risks.

WFP aims to scale Anticipatory Action programmes to protect people against extreme weather events. These pages showcase activations throughout 2024, detailing the number of people reached and the specific anticipatory actions implemented in each country.

This paper explores the use of machine learning (ML) techniques to map flood hazards based on readily available geo-environmental variables.