Talk (non-conference) (Invited)

FZJ-2022-00655

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Deep Learning for Air Quality and Weather Forecasting

Schultz, M. (Corresponding author)FZJ*

2021

Abstract: This presentation gives an overview of the machine learning research in the air quality and weather domain that is conducted in the Earth System Data Exploration research group at the Jülich Supercomputing Centre of Forschungszentrum Jülich, Germany.

Note: Event homepage: https://www.kitp.ucsb.edu/activities/climate21. The link to the presentation includes slides and a video recording.

---

Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. Earth System Data Exploration (ESDE) (ESDE)

Appears in the scientific report 2021

---