Assess skills and suitability of Machine Learning Forecasts
Strengthening Early Warning Systems For Anticipatory Actions
Strengthening Early Warning Systems For Anticipatory Actions
Producing high resolution short to medium range probabilistic weather forecasts through machine learning
Strengthening Early Warning Systems For Anticipatory Actions
Strengthening Early Warning Systems for Anticipatory Actions project in Kenya, supported by the United Nations World Food Programme (WFP) and funded by Google.org, aims to enhance disaster preparedness by integrating machine learning into early warning systems. Collaborating with the Kenya Meteorological Department, the Ethiopian Meteorological Institute, the University of Oxford, and other partners, the project seeks to improve the accuracy and timeliness of forecasts, enabling communities to take proactive measures against climate-related hazards. The project levelages advanced technologies, the project aspires to transform early warning systems in the IGAD region, fostering resilience and reducing the adverse impacts of disasters on vulnerable populations.
Our Areas of Work
Skills assessment
Strengthen historical observation datasets
Develop and strengthen historical observation datasets in Greater Horn of Africa Region with Kenya and Ethiopia as pilot countries
Offer expertise in artificial intelligence, weather prediction, early warning systems and emergency response
Provide expertise in artificial intelligence, weather prediction, early warning systems and emergency response to safeguard lives and protect livelihoods in the face of climate change and disaster across the Greater Horn of Africa.
Collaborators
Our Partners
Working alongside leading institutions to advance climate science and resilience.
