ML-BEES
This project evaluates and improves the performance of ECMWF’s current land surface Machine Learning model prototype. It seeks to validate the prototype emulator thoroughly to understand the model’s capabilities in approximating the ECLand model output, and also compare its results to in-situ observations by developing an evaluation framework for LSM emulators.
Follow the developments on GitHub
Mentors
- Ewan Pinnington
- Christoph Herbert
- Patricia de Rosnay
- Souhail Boussetta
- David Fairbairn
- Peter Weston
- Sébastien Garrigues
Participants
Yikui Zhang
Till Fohrmann
Johannes Leonhardt
Mohamad Hakam Shams Eddin