Koh Li-Na(R), at Ecosperity Week 2026 held on May 21, 2026.
The Director General/Chief Executive Officer of the Nigerian Meteorological Agency (NiMet), Prof. Charles Anosike, has intensified efforts to deepen meteorological research and innovation, with a strong focus on Artificial Intelligence and aviation, following a high-level bilateral meeting in Singapore.
Anosike met with Koh Li-Na, Director-General of the Meteorological Service Singapore (MSS), on the sidelines of Ecosperity Week 2026 held on May 21, 2026.
The meeting centred on forging strategic collaboration between both agencies, particularly in accelerating the adoption and integration of Artificial Intelligence models into meteorological operations. Both leaders acknowledged the shared challenges posed by tropical weather systems in Nigeria and Singapore, as well as their significant implications for aviation and other critical sectors.
The proposed collaboration is expected to enhance the accuracy, speed, and localisation of weather forecasts, delivering stronger socio-economic benefits across aviation, agriculture, marine services, health, and disaster risk management.
Both NiMet and MSS, which are ISO-certified for aviation meteorological services, also explored replicating Singapore’s successful model of joint aviation research with civil aviation authorities to strengthen provider-user collaboration in Nigeria’s aviation sector.
Discussions further covered cost-recovery frameworks, legal structures, the deployment of AI to boost workforce productivity, and the importance of Quality Management Systems (QMS) in driving operational efficiency and improving workplace standards.
As members of the World Meteorological Organization (WMO), both countries reaffirmed their commitment to global cooperation. While Nigeria hosts the WMO Office for North, Central and West Africa, Singapore hosts the Regional Office for Asia and the South-West Pacific.
Both Directors General emphasised that strengthened international partnerships, knowledge exchange, and cross-border collaboration remain vital for improving forecasting precision, building institutional capacity, and delivering timely, life-saving early warning systems.