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

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.

Moderator

• Eoin Moran, Second Vice-President of the WMO and Director of Met Éireann

Rapporteur

• Nir Stav, Senior Director, Infrastructure Department, WMO Secretariat

Slides

1. Infrastructure Perspective on AI - President, WMO INFCOM
2. What would it take? for all to benefit from AI in Earth Systems Predictions - PR of Norway
3. Public-Private Engagement on AI - PR of the BCT
4. AI for Meteorology and Hydrology - Google
5. AI for Weather and Climate - Microsoft
6. Bridging the Development of AI-Empowered Weather Forecasting Through PPE​
7. Highlights on PPE - Senior Director, Infrastructure, WMO Secretariat

Report of the session

• Available soon

Recording

• Available soon