CESM Workshop 2024

Call for Talks

The CESM Workshop will begin with a full-day schedule on Monday 10 June 2024. The day will include presentations on the state of the CESM, presentations by this year's award recipients, and plenary presentations followed by CESM Working Group Meetings in the afternoon and an interactive poster session.

On 11-12 June 2024, working groups have half-day sessions. These are designed to share information and encourage discussion and collaboration.

The deadline to submit a title for a talk or poster is  April 29, 2024. The call for talks/posters can be found online. 

You will be notified if your talk or poster is accepted the week of May 13, 2024.

Registration to participate in person will remain open until May 31, 2024.

Registration to participate online will remain open through the duration of the workshop.

Meeting details and lodging options are available on the website.

The link for registration, and to provide payment for in person participants, will be available online.

Please contact Elizabeth Faircloth with any questions.

Cross Working Groups

Tuesday, June 11, 2024, 8:30 - 10:30 AM 

Session I : Sea Level Science 

Organizers: Gunter Leguy and Monica Morrison (NSF NCAR) and Miren Vizcaino (GRS, Delft University of Technology)

This session will provide an opportunity to review the state of sea level science and discuss opportunities for scientific applications using CESM on topics including: regional and global sea level rise; coastal management; adequate and responsible communication between practitioners and scientists; using science to inform climate adaptation and resilience decisions and implications for just responses to SLR.

Tuesday, June 11, 2024, 8:30 - 10:30 AM 

Session II: High/Ultra-High Resolution CESM

Organizers: Adam Herrington (NSF NCAR) and Christiane Jablonowski (University of Michigan) 

This cross-working group session will discuss ongoing and future pathways to foster high- and ultra-high-resolution modeling capabilities for CESM. Special attention will be paid to cloud-permitting and weather-system-resolving model configurations with grid spacings between 3-25 km. The science, software infrastructure, and hardware challenges for high-resolution applications will be addressed.

Tuesday, June 11, 2024, 3:30 - 5:30 PM

Session III: Tipping Points 

Organizers: Gokhan Danabasoglu and Bette Otto-Bliesner (NSF NCAR)

In recent years, interest in evaluating risks associated with crossing individual and / or compound tipping points within the Earth system in the presence of anthropogenic warming has significantly increased. Such tipping points include both reversible and irreversible changes in high-latitude permafrost, Atlantic meridional overturning circulation, Greenland and Antarctic ice sheets, and boreal and tropical forests. There are two proposed efforts within the CMIP7 framework to define common protocols to i) obtain such events and assess any related uncertainties, reversibility / recovery aspects, etc. under the Tipping Point Model Intercomparison Project (TIPMIP) effort; and ii) investigate extreme outcomes, impacts, risks, etc. associated with such events, assuming that they have already happened, under a complementary project, the What If Modeling Intercomparison Project  (WhatIfMIP). The goals of this cross-WG session are to introduce these intercomparison projects along with several other related international (mostly European) efforts; review related national efforts; and gauge the interest of the community regarding participation in these efforts. The session will have invited presentations followed by a discussion.

Tuesday, June 11, 2024, 3:30 - 5:30 PM

Session IV: Harnessing Machine Learning for CESM: Innovation and Integration

Organizers: Kirsten Mayer and Will Chapman(NSF NCAR)

Linnia Hawkins and Wayne Chuang Columbia University

This session aims to explore ongoing machine learning (ML) applications within the Community Earth System Model (CESM), acknowledging a future CESM that may increasingly incorporate ML in the coming years. As CESM evolves, leveraging ML offers opportunities to enhance model performance through improved parameterizations, automated parameter estimation, real-time bias correction and beyond. This cross-working group session will serve as a nexus for sharing innovations, discussing challenges, and charting the course for incorporating ML into CESM science. Further, the session will foster dialogue among experts leading ML-driven projects, encouraging a cohesive approach towards the advancement of CESM.

We encourage abstract submissions using ML for both model development and the analysis of CESM simulations. We welcome submissions from a broad array of ML-based applications spanning CESM components, configurations and scales.