Machine Learning in Meteorology & Climate

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

Online stream of the symposium

The online conference venue is set up via ZOOM. The link to the meeting room and the password will be included in an email from the organizers. In case you don't receive this email one hour before the event (Sept 25th at 8:30 a.m.), please contact the organizers (menno.veerman@wur.nl).

Programme (time zone: CEST, UTC+2)

  • 09.30-09.50 Welcome & introduction
  • 09.50-10.35 Machine learning at the European Weather Centre (Dr. Peter Dueben)
  • 10.35-11.00 Break
  • 11.00-11.45 Modeling land use with spatial interaction laws (Prof. dr. Devis Tuia)
  • 11.45-12.30 Deep Learning for Weather Forecasting? A Proof of Principle (Dr. Wim Wiegerinck)
  • 12.30-13.30 Lunch
  • 13.30-14.15 Can machine learning improve weather forecasts? (Dr. Maurice Schmeits)
  • 14.15-15.00 12-Month El NiƱo Forecast and More Based on Network Theory and Machine Learning (Dr. Qingyi Feng)
  • 15.00-15.30 Break
  • 15.30-16.15 Machine Learning in Climate Science: Finding causal connections and improving seasonal forecasts (Dr. Dim Coumou)
  • 16.15-16.30 Closing remarks