Sixth High-Level Session of the Open Consultative Platform on Artificial Intelligence (AI) (OCP-HL-6)

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(UTC: 16 June 2025, 08:30 - 10:00)
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Geneva, Switzerland

The rapid development of big data science and technologies has the potential to transform the Meteorological and Hydrological community methods of collecting and processing observational data, and may enable integration of large amounts of non-conventional data into the processing and prediction systems. This derived vigorous R&D in the academia, private sector and public sector into new forecasting methods and applications. Forecasts based on artificial intelligence (AI) and machine learning (ML) have emerged in the last few years, with notable contributions by private technology leader companies, based on data sets that were developed by national and international public sector organizations. The research and operationalization of such new approaches is expected to accelerate in the coming decade, providing new opportunities for meteorological, climate and hydrological services at an unprecedented use scale.

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For any queries, please contact: tkimura@wmo.int
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Speakers

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Michel Jean, President, Commission for Observation, Infrastructure and Information Systems (INFCOM), WMO
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Arlene Laing, Coordinating Director of the Caribbean Meteorological Organization and Permanent Representative of the British Caribbean Territories with WMO
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Roar Skålin, Director General, Norwegian Meteorological Institute and Permanent Representative of Norway with WMO
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Olivia Graham, Product Manager in Weather, Climate & Geospatial AI, Google
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Dr. Erica Moret, Director, United Nations and International Organisations, Microsoft, Geneva
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Prof. Libo Wu, Vice President, Shanghai Academy of AI for Science
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Dr. Lidia Huaman, Lead Applied Meteorologist, AccuWeather
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