The Nigerian Meteorological Agency (NiMet) has taken a bold step to modernize weather forecasting by inaugurating a dedicated Artificial Intelligence (AI) Research and Integration Team in Abuja. This new team reflects NiMet’s determination to embrace cutting-edge technology to improve meteorological and climate services nationwide.
At a ceremony in the capital, the Director General and Chief Executive Officer of NiMet, Prof. Charles Anosike, unveiled the team as part of the agency’s strategy to boost innovation, strengthen digital transformation, and enhance service delivery. The move signals a shift towards more advanced, data-driven forecasting methods that complement traditional physics-based models. This initiative aligns with the Nigerian government’s broader digital transformation agenda and efforts to modernize public sector institutions.
According to Prof. Anosike, the newly formed technical team will identify opportunities and best practices for applying artificial intelligence within meteorology. The group’s core responsibilities include integrating AI-based tools into NiMet’s operational systems and developing standards that ensure consistent and effective use of these technologies.
The Director General highlighted the expected outcomes of this approach, stating, “The initiative is expected to enhance the speed, accuracy and accessibility of weather predictions through hybrid AI–traditional forecasting models.” This means that while the agency will continue to use well-established forecasting physics, it will also adopt advanced AI techniques to boost performance, making weather information faster, more precise, and easier to share.
Prof. Anosike also made clear that developing internal AI expertise is essential for NiMet to sustain its role as a leader in technological innovation among government agencies. He stressed that the responsible deployment of emerging technologies will support several sectors that depend on timely weather data, including aviation safety, agriculture, disaster risk reduction, and broader national development objectives.
The AI Research and Integration Team brings together specialists from across NiMet’s departments, ensuring a multidisciplinary approach to innovation. This collaborative structure aims to tap into diverse skills and insights, driving effective integration of AI within the agency’s core functions.
Improving forecasts through AI is expected to benefit Nigeria in multiple ways. More accurate weather predictions can enhance safety for pilots and travelers, reduce losses in farming by helping farmers plan for rainfall or dry spells, and strengthen early warnings for natural disasters like floods and storms. In the longer term, this could also support better planning for climate change impacts, infrastructure development, and national planning.
NiMet’s embrace of AI is part of a broader transformation the agency has undergone in recent years. Earlier partnerships with technology firms and climate research organizations have aimed to improve weather services for essential economic sectors, including agriculture and livestock management. These collaborations often focus on using AI and machine learning to refine forecasting and deliver weather insights that stakeholders can use for decision-making.
For example, partnerships with organisations like CGIAR are already exploring how AI-enhanced weather services can help farmers plan planting and harvesting activities, reduce risk, and adapt to changing climate patterns. These efforts underscore the value of accurate weather intelligence not just for science, but for economic productivity.
Overall, the launch of the AI Research and Integration Team represents a significant milestone for NiMet, one that places Nigeria among the governments leveraging digital innovation to improve public services and respond to climate challenges. As weather patterns become increasingly unpredictable due to global climate change, the combination of AI with traditional science offers a promising path to more reliable forecasting, improved resilience, and enhanced socio-economic outcomes.
