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Patricia Okau

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Forecasting Director

Forecasting Specialist

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Patricia Okau

Patricia Okau is the Director of Forecasting and Climate Risk Scientist Climarys .she is recognized as a Climate Scientist and Meteorologist with a strong commitment to climate resilience, disaster risk reduction, and sustainable development. With an MSc in Meteorology from the University of Nairobi, she brings advanced expertise in flood risk modelling, early warning systems, anticipatory action planning, and climate adaptation strategies. Patricia has led cross-border projects, developed early action protocols, and transformed complex climate and geospatial data into actionable insights that help governments, NGOs, and communities protect lives and livelihoods. Fluent in English, Swahili, and French, she combines technical excellence with strategic leadership to drive measurable climate impact across Africa.

8 Years of Experiences

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Patricia has operationalized sub-seasonal and weekly forecasts, supported early warning systems, and led climate risk analyses across East Africa. Her experience covers anticipatory action frameworks, machine learning for impact-based forecasting, GIS-based hazard mapping, disaster risk profiling, and capacity-building programs that strengthen climate adaptation and community resilience.

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    Experiences and Achievements

    Early Warning Innovation
    Developed geospatial flood risk tools and operationalized sub-seasonal and seasonal forecasts to strengthen disaster preparedness in Eastern Africa.
    Anticipatory Action Leadership
    Designed and implemented frameworks enabling proactive responses to extreme weather events
    Capacity Building
    Trained national meteorological services in GIS, hazard mapping, and interpretation of climate forecasts.
    Youth Empowerment
    Directed New Generation Media 257, training and mentoring young journalists and technicians
    Climate Risk Mapping
    Contributed to national and district disaster risk profiles, integrating satellite imagery and field data for decision-making.
    Machine Learning Applications
    Applied AI and remote sensing to improve flood forecasting accuracy and climate adaptation planning.
    Regional Collaboration
    Partnered with IGAD member states to coordinate resilience-building strategies across the region.
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