• Date

    September 25, 2020

  • Time

    9:00 -1730

  • Location


Welcome to the symposium “Machine Learning in Meteorology and Climate”

This symposium aims to present and discuss the current scientific applications of machine learning techniques within meteorology, oceanography and climate. Machine learning has been proven very useful when conventional techniques are difficult to apply, computationally expensive, or inaccurate. Although the applications of machine learning are very diverse, ranging from weather forecasting to classifying satellite images, they often have the same basic purpose: extracting relevant information from large quantities of data from observations and numerical models. This common ground provides potential for a valuable interdisciplinary exchange of ideas regarding the use of machine learning within each discipline.

BBOS spring symposium 2020

The symposium is organized as the BBOS spring symposium 2020. It will be held on 25th of September 2020 (09:00-17:30) at Wageningen University. Due to the COVID-19, the symposium will be mostly virtual and limited access to the venue at Wageningen is provided. More information about the access to the online stream of the event will follow soon.


Registration is open now, please register here. Limited number of seats are available at Wageningen. If you wish to join the physical event, please state your preference in the registration form (tick the checkbox). We will inform you by email if you get a seat at Wageningen. Access to the online event is unlimited. But we still recommend you to register your attendance and then we can keep you updated about the event via email.


We would like to thank the Meteorology and Air Quality group of Wageningen University and Research (WUR), and the Buys Ballot Research School (BBOS) for supporting this symposium.

For detailed information about the event visit the symposium “Machine Learning in Meteorology and Climate” homepage


Stay abreast of our latest news, events and funding opportunities

  • Dit veld is bedoeld voor validatiedoeleinden en moet niet worden gewijzigd.