Sacl-AI 4 Science Workshop

Session

Climate Sciences

climate

Jul 11, 2024, 9:30 AM

BÂTIMENT D’ENSEIGNEMENT MUTUALISÉ (BEM)

24. Using machine learning to parameterize unresolved processes in climate models: a few thoughts on the example of gravity waves

Riwal Plougonven

7/11/24, 9:30 AM

Talk (Long)

Climate models and Numerical Weather Prediction (NWP) Models describe the atmospheric circulation with a
limited resolution. There unavoidably remains processes that involve spatial scales shorter than the
grid scales, ie processes that are unresolved. Cloud processes, turbulence near the surface and internal
gravity waves propagating from lower to upper layers are among the main dynamical...

20. Radar imaging for earth observation and climate science and the key contribution of machine learning

Prof. Florence Tupin (Telecom Paris)

7/11/24, 10:15 AM

Invited talks

Talk (Long)

In this talk I will first introduce the basics of radar imaging and present some applications
for climate science. I will then show how machine learning can make a key contribution
to improve radar data degraded by the speckle phenomenon and extract useful information.
I will focus on self-supervised methods allowing for exploiting a wide range of unlabeled data.

22. TBC

Julien Le Sommer

7/11/24, 11:30 AM

Talk (Long)