Malawi remains highly vulnerable to climate-related hazards. Its early warning systems face significant gaps due to limited observational infrastructure, constrained human resources, and outdated forecasting systems. To reach the goal of the United Nations’ Early Warnings for All (EW4All) initiative, there is an urgent need to modernize and enhance the capacity of Malawi’s Department of Climate Change and Meteorological Services (DCCMS).
| Programme type: | Accelerated Support Window |
| Funding: | $250,000 |
| Duration: | 6 months |
| Status: | Ongoing |
Artificial Intelligence for Early Warnings Systems in Malawi
This ASW aims to pilot the use of Artificial Intelligence (AI) to enhance weather prediction capabilities and strengthen early warning systems in Malawi. The project will deploy and test an AI-based Weather Prediction (AI-WP) system, building on the Bris model developed by the Norwegian Meteorological Institute (MET Norway) and the “forecast-in-a-box” concept being advanced under WMO’s Integrated Processing and Prediction System (WIPPS). Through this pilot, Malawi’s Department of Climate Change and Meteorological Services (DCCMS) will gain hands-on experience running AI-enabled forecasts locally, assessing their operational feasibility, forecast skill, and potential to support timely early warnings for high-impact weather events. The Action also seeks to demonstrate the scalability and adaptability of AI-WP in data-scarce, resource-constrained environments, particularly relevant to Least Developed Countries (LDCs) and Small Island Developing States (SIDS). Furthermore, the Action supports Malawi’s proactive engagement with the Santiago Network on Loss and Damage by piloting practical technologies and institutional partnerships that improve national capacity to anticipate, respond to, and reduce the impacts of climate-related hazards.
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