On March 30, 2026, the newly established Dutch research network on AI for Weather & Climate, known as AIMET-NL, will host a one-day workshop at the Centrum Wiskunde & Informatica (CWI) in Amsterdam. The event will focus on Scientific Machine Learning and Uncertainty Quantification, areas that are gaining traction as AI techniques increasingly influence weather and climate applications.
The integration of AI methods in weather forecasting has advanced significantly in recent years. Just a few years ago, the prospect of fully data-driven weather predictions using AI and machine learning (ML) seemed far-fetched. Today, AI-driven forecasting systems have demonstrated a level of predictive skill that is competitive with traditional physics-based models, marking a notable evolution in meteorological science. Researchers are rapidly exploring AI’s capabilities to enhance the modeling and analysis of both weather and climate systems.
Launched in 2025, AIMET-NL aims to unite scholars from diverse fields to foster collaboration and innovative research. The upcoming workshop will serve as a platform for members of the research community to discuss these advancements, emphasizing the interconnectedness of Scientific Machine Learning and Uncertainty Quantification. This collaboration is crucial, as the challenges posed by climate change demand more robust predictive models that can incorporate uncertainties inherent in climate data.
Participants interested in attending the workshop are encouraged to register by March 23, 2026, as space is limited due to room capacity constraints. The registration fee is set at €20, reflecting a commitment to accessibility for researchers and practitioners alike. Early registration is advised to ensure a spot at this significant event.
The tentative agenda for the workshop promises a range of discussions and presentations aimed at deepening understanding of the applications and implications of AI in weather and climate research. Organizers Nikolaj Mücke and Daan Crommelin aim to create an engaging environment conducive to knowledge sharing and networking among participants.
This workshop is a timely response to the increasing integration of AI in climate science, a field that faces urgent challenges as climate change intensifies. By fostering dialogue on Scientific Machine Learning and Uncertainty Quantification, AIMET-NL aims to contribute valuable insights that could shape the future of weather forecasting and climate modeling, ensuring they remain relevant and effective in an era of rapid technological advancement.
As the world grapples with the effects of climate change, the role of AI in enhancing predictive capabilities becomes ever more critical. The outcomes of this workshop could pave the way for future innovations, bridging gaps between theoretical research and practical applications in meteorology, and ultimately aiding in more effective climate interventions.
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