2nd LIAISE Conference

Decadal Survey Incubation (DSI) Planetary Boundary Layer (PBL) Community Meeting

Bridging Frontier Observations and Modeling across Scales for Insights into Radiation and Climate (Gordon Research Conference)

Bridging Frontier Observations and Modeling across Scales for Insights into Radiation and Climate (Gordon Research Seminar)

11th Baltic Earth Summer School

2025 ML4LM Webinar Series: General Discussion and Future Plans

2025 ML4LM Webinar Series: Physics Constrained ML which Benefits for Land Modeling

2025 ML4LM Webinar Series: Machine Learning for Land Data Assimilation in Global NWP and Reanalysis Systems

2025 ML4LM Webinar Series: On the Use of ML for Modeling Land Surface Dynamics

2025 ML4LM Webinar Series: Hybrid Modeling for Land

The Land surface Interactions with the Atmosphere over the Iberian Semi-arid Environment (LIAISE) project, part of the international HyMeX initiative, focuses on enhancing our understanding of land-atmosphere-hydrology interactions in Spain’s semi-arid Ebro basin, a region characterized by its significant agricultural activities and contrasting natural dry zones.

This conference aims to unite researchers specializing in estimating the various components of the surface water and energy cycles experimentally using in-situ observations, via remote sensing data and/or models, from the leaf to the regional scale. The emphasis will be on semi-arid bread-basket regions.

For additional information and to register visit https://www.gewexevents.org/meetings/liaise2025/.

 

 

Join the Planetary Boundary Layer (PBL) community to continue charting a path forward in preparation for the next Decadal Survey and beyond at the Decadal Survey Incubation (DSI) PBL Community Meeting. The meeting, which will be held April 1-3, 2025 in Silver Spring, MD, USA, is open to all interested in PBL science and the technologies to enable those measurements.

A draft meeting agenda is available at https://meeting-info.org/pbl/, along with links for meeting registration and hotel reservations. All in-person attendees are invited to present posters. Community members attending in person are invited to request time for an oral presentation during registration. Note that time slots are limited, so some submissions may be accepted as posters. The deadline to register and request posters and community presentations is February 28!

Additional information about the DIS-PBL program, including the recent PBL study report, can be found at https://science.nasa.gov/earth-science/decadal-pbl.

The 2025 Gordon Research Conference (GRC) on Radiation and Climate will focus on key uncertainties in radiation and climate science with particular emphasis on novel approaches to bridge observations and modelling across scales to advance our physical understanding and predictive capabilities. This is timely, with global Earth observations and high-resolution models approaching process scales. The program will capitalize on novel Earth observations as well as the transformation of global climate modelling through computational advances and AI.

This GRC will be held in conjunction with the “Radiation and Climate” Gordon Research Seminar (GRS).

For detailed information, visit https://www.grc.org/radiation-and-climate-conference/2025/

The crossroads of observations and modelling motivate the theme of the Gordon Research Seminar (GRS) this year: advancing physical understanding of radiation and climate through observations, models, and other methodologies at the nexus of these approaches.

The Radiation and Climate GRS provides a unique forum for young doctoral and post-doctoral researchers to present their work, discuss new methods, cutting edge ideas, and pre-published data, as well as to build collaborative relationships with their peers. Experienced mentors and trainee moderators will facilitate active participation in scientific discussion to allow all attendees to be engaged participants rather than spectators.

This GRC will be held in conjunction with the “Radiation and Climate” Gordon Research Conference (GRC).

For additional information, visit https://www.grc.org/radiation-and-climate-grs-conference/2025/

Students will be introduced into fundamental processes of the atmosphere, ocean, sea-ice and land surface with relevance for the climate system. The course will deal with coupled atmosphere-ocean climate models, climate change, the greenhouse gas effect and other drivers of regional climate, dynamical downscaling, and the variability of circulation and regional climate. In additon, the possible impact of climate change on the marine ecosystem including biogeochemical cycles will also be studied.

With the help of teachers from several disciplines, a holistic Earth System approach will be presented although the main focus of the course is on the physical aspects of changing climate. In addition to lectures, tutorials, exercises and literature studies the course will give the students the opportunity to discuss the learned topics further during group exercises.

For details and to register, please visit https://www.io-warnemuende.de/bess-2025.html

Join us for the final webinar in the series:

General Discussion and Future Plans
All are Welcome to Join!
10 December 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 tenth webinar in the series:

ML for Benchmarking Land Surface Models
Prof. Gab Abramowitz, UNSW
18 November 2025 | 10:00 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 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

Hybrid Modeling for Land
Prof. Andrew Bennett, U. Arizona
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.

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.

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