A.G. Muditha Malika Wimalasuriya is a distinguished meteorologist and climate scientist with nearly three decades of executive leadership experience in Sri Lanka's Department of Meteorology. Throughout his career, he has played a key role in advancing weather forecasting, climate services, agrometeorology, disaster risk reduction, numerical weather prediction, remote sensing, and environmental monitoring.

He has held numerous senior leadership positions, including Acting Director of the Instrument, Electronics & Training Divisions, Acting Director of Projects, Planning, Numerical Weather Prediction & Agrometeorology, Head of the Climate Change Study Centre, Deputy Director of Regional Meteorological Offices, and Aviation Meteorologist. He currently serves as a Senior Scientist specializing in Weather, Climate, Agrometeorology, Disaster Management, and Renewable Energy.

At WHY National Digital Eco-System, he serves as the Chief Meteorology, Climate Intelligence & Early Warning Advisor, providing strategic leadership in weather intelligence, climate analytics, agricultural meteorology, disaster resilience, and AI-enabled environmental decision support.

Areas of Expertise

• Meteorology & Weather Forecasting
• Climate Intelligence
• Agrometeorology
• Numerical Weather Prediction
• Climate Change Adaptation
• Disaster Risk Reduction
• Multi-Hazard Early Warning Systems
• Remote Sensing & Satellite Meteorology
• Weather Data Modelling & APIs
• Renewable Energy Assessment
• Environmental Monitoring
• Climate Services for Agriculture

Professional Highlights

• Nearly 30 years of executive experience in the Department of Meteorology
• Former Acting Director – Projects, Planning, Numerical Weather Prediction & Agrometeorology
• Former Acting Director – Instrument, Electronics & Training Divisions
• Former Head – Climate Change Study Centre
• Former Board Director – Sustainable Energy Authority
• Board Director – Urban Development Authority
• Member of the Governing Board – Ceylon-German Technical Training Institute
• Collaborated with the FAO to develop location-specific weather modelling and forecasting APIs for agriculture

Key Contributions to WHY

• Lead climate intelligence and weather advisory strategies
• Support AI-powered weather forecasting and climate analytics
• Strengthen smart agriculture through agrometeorological services
• Develop multi-hazard early warning and disaster resilience solutions
• Integrate meteorological data and forecasting APIs into the WHY ecosystem
• Advance climate resilience through data-driven environmental intelligence