Dr. David Lawrence, NCAR
20th February 2025 | 15:30 UTC
The Machine Learning for Land Surface Models (ML4LM) webinar series gathers eminent scientists to share their experience in the combined fields of machine learning and land modeling. ML4LM aims at exploring the extent and the role that machine learning could play for better land surface studies, especially identifying the main areas where it could be applied and providing tools and data to the land surface modeling community. It is a project of the GLASS Panel, which coordinates the evaluation and intercomparison of the latest generation of land models and their applications to scientific queries of broad interest.
Registration for February’s webinar is open! Fill in the form here and details on the webinar will be emailed to you. Visit the webinar series webpage for future webinars and links to past webinar recordings. The schedule for the rest of the year can also be found below.
| Date and Time (UTC) | Working Title | Presenter | Recording and Presentation |
|---|---|---|---|
| 20 January 2025, 15:00 UTC | Advances in ML for Earth System Modeling | Dr. Peter Dueben, ECMWF | Presentation Recording Presentation Slides |
| 20 February 2025, 15:30 UTC | Towards Flexible Interfacing of ML with Land Models | Dr. David Lawrence, NCAR | |
| 12 March 2025, 09:30 UTC | ML for Benchmarking Land Models | Prof. Gab Abramowitz, UNSW | |
| 3 April 2015, 14:30 UTC | Advancing Predictive Understanding of Hydrological Systems through Trustworthy AI | Dr. Dan Lu, ORNL | |
| 14 May 2025, 13:30 UTC | Physically-Based Land Modeling & ML – What are the Complementarities? | Prof. Christoph Rüdiger, ECMWF | |
| 9 June 2025, 14:30 UTC | Exploring the L-A Coupled System with ML | Prof. Pierre Gentine, LEAP-STC U Colombia | |
| 9 July 2025, 15:30 UTC | Hybrid Modeling for Land | Prof. Andrew Bennett, U. Arizona | |
| 9 September 2025, 13:30 UTC | On the Use of ML for Modeling Land Surface Dynamics | Prof. Nuno Carvalhais, Max Plank Inst. | |
| 15 October 2025, 14:30 UTC | Machine Learning for Land Data Assimilation in Global NWP and Reanalysis Systems | Prof. Patricia de Rosnay, ECMWF | |
| 12 November 2025, 14:30 UTC | Physics Constrained ML which Benefits for Land Modeling | Dr. Paula Harder, Mila-Quebec | |
| 10 December 2025, 15:30 UTC | General discussion & future plans (1h:30) | All | |
Coordinator: Dr. Souhail Boussetta, ECMWF
