Supported climate services development across the IGAD region & Agriculture watch system. ClimSA: https://www.icpac.net/our-projects/intra-acp-climate-services-and-related-applications
Co-designation of ICPAC as a WMO Regional Climate Centre & Support for Greater Horn of Africa Climate Outlook Forums (GHACOF) https://www.icpac.net/our-projects/intra-acp-climate-services-and-related-applications/
ICPAC partners with AU on the AMHEWAS program https://au.int/en/pressreleases/20250804/strengthening-africas-resilience-key-outcomes-3rd-amhewas-technical-working , Framework for GMES & Africa satellite monitoring programme https://www.icpac.net/our-projects/gmes/
Collaboration on pastoral early warning and livestock monitoring & Joint climate-livestock resilience initiatives in IGAD drylands. https://www.icpac.net/our-projects/secci/
Co-chair of FSNWG for regional food security analysis & Desert locust monitoring and transboundary pest management. FSNWG: https://www.icpac.net/fsnwg/
Climate-conflict early warning and response in IGAD region & Integration of climate data into peace and security analysis. https://www.icpac.net/our-projects/igads-disaster-risk-management-programme/
Deployment of technical experts to strengthen ICPAC capacity & Support for climate services and disaster risk management. EarlyWarning4IGAD: https://www.icpac.net/our-projects/earlywarning4igad/
Pan-African climate forecasting and data exchange & Collaboration on continental weather and climate outlooks under AMHEWAS https://www.icpac.net/our-projects/intra-acp-climate-services-and-related-applications/
Development of African Multi-Hazard Early Warning System & Disaster risk reduction policy and framework support. https://www.icpac.net/our-projects/earlywarning4igad
Supported downscaling of system to national level & Support for food security crisis response in the IGAD region. https://www.icpac.net/our-projects/acrei/
Google Earth Engine support for climate and environmental data & Cloud computing and geospatial tools for drought monitoring. https://eahazardswatch.icpac.net
The World Food Programme plays a critical role in operationalizing AI-driven climate forecasts for anticipatory action and humanitarian decision-making. https://cgan.icpac.net
ECMWF supplies high-quality global forecast datasets, which serve as inputs for the cGAN models. Their data enables the generation of reliable baseline forecasts, which are then enhanced through AI-based post-processing to improve spatial resolution and reduce systematic biases. https://cgan.icpac.net/
The University of Oxford leads the research and development of machine learning models, particularly the design and implementation of conditional Generative Adversarial Networks (cGANs) for climate forecast post-processing. https://cgan.icpac.net/