Towards actionable impact-based early warning in Africa
The project aims to transition from hazard-based early warning to impact-based early warning in the IGAD region. It involves integrating exposure and vulnerability information into existing Early Warning Systems (EWS) and Decision Support Systems (DSS). The project pilot study locations include Ethiopia and Kenya, with plans for scaling up across other member states of the IGAD region. The focus is on designing and developing a robust approach and methodology for impact-based EWS to enhance disaster preparedness and response.
Our Areas of Work
Evaluation of existing Early Warning Systems in IGAD
The review and evaluation of the existing early warning systems in the IGAD region and needs and gaps highlighted
Integration of exposure and vulnerability into East Africa Hazard watch
Co-develop approach and methodology for integrating relevant actionable exposure such as people, infrastructure, ecosystems, and agriculture in addition to related social, economic, ecological, and physical vulnerability information into existing Early Warning System in the region.
Impact-based forecasting
Update the existing East Africa Hazard and Drought Watch by incorporating Impact Based Forecasting.
Capacity Building
Strengthen the capacities of relevant stakeholders to design, implement, and scale up impact-based Early Warning Systems through capacity strengthening and training.
Latest Updates
Technical Report on the Ongoing Flood Impact in the IGAD Region
The IGAD region is grappling with an unprecedented challenge of a climate emergency within the memb…
Observed changes in wet days and dry spells over the IGAD region of eastern Africa
Changes in wet and dry patterns have an impact on rain-fed agriculture, crop productivity, and food…
AD-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze–Atbara Basin
Precipitation is a vital key element in various studies of hydrology, flood prediction, drought mon…
Probabilistic rainy season onset prediction over the greater horn of Africa based on long-range multi-model ensemble forecasts
This paper suggests a probabilistic framework for predicting when the rainy season will start over …
