Machine Learning in Meteorology & Climate

A symposium for meteorology, oceanography, remote sensing, and machine learning.

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 the 20th of May 2020 (09:00-17:30) at Wageningen University.

Registration

Registration is open now, please register here.

Acknowledgement

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.