Join us for the ninth webinar in the series:
Machine Learning for Land Data Assimilation in Global NWP and Reanalysis Systems
Prof. Patricia de Rosnay, ECMWF
15 October 2025 | 14:30 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.
See the website for the registration link! Links are added a few weeks before the webinar occurs. After you register, the link for the webinar will be emailed to you.
Join us for the eighth webinar in the series:
On the Use of ML for Modeling Land Surface Dynamics
Prof. Nuno Carvalhais, Max Plank Institute
9 September 2025 | 13:30 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.
See the website for the registration link! Links are added a few weeks before the webinar occurs. After you register, the link for the webinar will be emailed to you.
Join us for the seventh webinar in the series on
Bridging Physics and Data: Parameter Estimation and Emulation of Land Surface Models with Machine Learning
Dr. Nina Raoult, ECMWF
9 July 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.
Register at https://gmu.zoom.us/webinar/register/WN_uweh-ZftQ7iwGwkvo-K_xQ! After you register, the link for the webinar will be emailed to you.
Join us for the sixth webinar in the series on
Exploring the Land-Atmosphere Coupled System with ML
Prof. Pierre Gentine, LEAP-STC, U. Columbia
9 June 2025 | 14:30 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.
The registration link for June’s webinar is live! Register at https://gmu.zoom.us/webinar/register/WN_6-q29mmcT0OWKMscq-6iRQ and a link to participate will be emailed to you.
Join us for the fifth webinar in the ML4LM webinar series on
Physically-Based Land Modeling & ML—What Are the Complementarities?
Prof. Christoph Rüdiger, ECMWF
14 May 2025 | 13:30 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.
See the website for the registration link! Links are added a few weeks before the webinar occurs. After you register, the link for the webinar will be emailed to you.
Join us for the fourth webinar in the ML4LM webinar series on
Advancing Predictive Understanding of Hydrological Systems through Trustworthy AI
Dr. Dan Lu, ORNL
3 April 2015 | 14:30 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.
See the website for the registration link! Links are added a few weeks before the webinar occurs. After you register, the link for the webinar will be emailed to you.
Join us for the third webinar in the series on
ML for Benchmarking Land Models
Prof. Gab Abramowitz, UNSW
12th March 2025 | 09:30 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.
See the website for the registration link! Links are added a few weeks before the webinar occurs. After you register, the link for the webinar will be emailed to you.
Join us for the second webinar in the series on
Towards Flexible Interfacing of ML with Land Models
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.
See the website for the registration link! Links are added a few weeks before the webinar occurs. After you register, the link for the webinar will be emailed to you.
Join us for the first webinar in the series on
Advances in Machine Learning for Earth System Modeling
Dr. Peter Dueben, ECMWF
20th January 2025 | 15:00 UTC
You can view a recording of the webinar here: https://youtu.be/RpFTJ6b8-xg.
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 January’s webinar is closed. See the webinar series webpage for a list of upcoming webinars and active registration links.
The Committee on Space Research (COSPAR) is proud to announce the COSPAR 2025 Scientific Symposium in cooperation with the Cyprus Space Exploration Organisation (CSEO).
This Symposium, themed “Space Exploration 2025: A Symposium on Humanity’s Challenges and Celestial Solutions”, will delve into critical global challenges such as climate change, resource depletion, and space weather, while exploring how space exploration and technology can offer solutions. It will present various matters related to ongoing and planned space programs, fostering discussions on international collaboration, ethical considerations, and the role of emerging nations in space exploration.
For detailed information visit https://cospar2025.org
