Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment
Agenda

Symposium: machine learning in meteorology and climate

Date: 25 September 2020
Time: 09:00 - 16:15
Location: Online

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.

The subscription link and more information (e.g. all confirmed speakers) can be found on our website: https://machinelearning-meteoclim.github.io/home