Using ECMWF’s Forecasts (UEF2024)

Leveraging Large Language Models for Weather and Climate Information Retrieval

Speaker

Nikolay Koldunov (Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI))

Description

Large Language Models (LLMs) have revolutionized the way we interact with data and information. We will examine the potential of LLMs in enhancing the interpretation of complex weather and climate datasets, as well as generating new insights through data processing and analysis. We will begin with an overview of LLMs, outlining fundamental approaches to developing systems that utilize them, such as chatbots. Subsequently, existing services and prototypes utilizing weather and climate data are discussed, followed by considerations of potential future services in this domain.

Primary author

Nikolay Koldunov (Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI))

Co-authors

Antonia Jost (Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)) Ivan Kuznetsov (Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)) Thomas Jung (Alfred Wegener Institute Helmholtz Center for Polar and Marine Research)

Presentation materials

#UEF2024