COP31-26, Türkiye: ACMAD calls for investment in AI-Driven weather forecasting to strengthen early warning systems in Africa

Date: 2026-11-14
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By:   Nana Appiah Acquaye

The African Centre of Meteorological Applications for Development (ACMAD) has called for sustained investment, stronger institutional capacity and regional collaboration to accelerate the use of artificial intelligence (AI) in weather and climate forecasting across Africa.

The call was made at the 31st United Nations Climate Change Conference (COP31) on November 11, 2026, during a session titled “AI-FORECAST East Africa: Artificial Intelligence for Next-Generation Weather and Climate Forecasting in Eastern Africa”.

The session, led by the IGAD Climate Prediction and Applications Centre (ICPAC), in collaboration with NORCAP, part of the Norwegian Refugee Council, and CGIAR, showcased regional efforts to deliver accurate, probabilistic, high-resolution and actionable weather and climate forecasts across Eastern Africa.

Representing ACMAD as a panellist, Dr Patrick Kinyua highlighted three priorities for translating AI innovation into operational weather and climate services: building practical skills, developing and testing forecasting solutions with national and regional institutions, and providing shared data to support the development, validation and operational use of AI models.

On skills development, Dr Kinyua pointed to initiatives such as the African Summer School on AI for Weather and Climate Modelling as important platforms for strengthening technical expertise and building the capacity of African institutions to apply AI in meteorological services.

He also emphasised the need to co-develop and test AI forecasting pilots with National Meteorological and Hydrological Services (NMHSs) and Regional Climate Centres (RCCs), while ensuring access to shared data to support model development, validation and operational deployment.

ACMAD said artificial intelligence can accelerate progress towards the global Early Warnings for All initiative when African institutions have the capacity, data and partnerships needed to apply the technology operationally.

However, it stressed that translating AI's potential into services that protect communities requires practical skills, collaboration and sustained investment.

“Predictable, sustainable investment is essential to sustain these efforts and make AI an effective tool for enhancing weather and climate services supporting timely decisions and early action that protects lives and livelihoods,” the Centre stated.

The Centre's intervention highlights the growing importance of AI in strengthening Africa's capacity to anticipate weather and climate risks, improve forecasting services and support early action to protect communities and livelihoods.

 

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