AI Posters 2026-06
Attachments| A-1: What the E3SM AI Group is for and how to work with us | Mahfouz, Naser | N/A | E3SM |
| A-2: Can We Trust Agentic AI to Analyze E3SM Outputs? | Zhou, Tian | Yun Qian, Ruby Leung | InteRFACE, E3SM |
| A-3: Accelerating Uncertainty Quantification and Model-data Integration in ELM | Ricciuto, Daniel | Khachik Sargsyan Dali Wang Peter Schwartz | E3SM |
| A-4: LANDSIM: Constrained Multimodal Learning for Land Model Initialization under a Restart Contract | Wang, Dali | Daniel Ricciuto, Peter Thornton, Dawei Gao, Zhuowei Gu, Yunhe Feng, Qinglei Cao | E3SM |
| A-5: Using AI to compare drivers of phytoplankton biomass | Gnanadesikan, Anand | Sandupal Dutta, Mat Maltrud, LeAnn Conlon | Using apparent relationships derived from machine learning methods to improve the simulation of marine phytoplankton in E3SM |
| A-6 Using AI to understand drivers of zooplankton biomass | Gnanadesikan, Anand |
| Using apparent relationships derived from machine learning methods to improve the simulation of marine phytoplankton in E3SM |
| A-7: AI for AMOC | Van Roekel, Luke | Alice Barthel, Balu Nadiga, Derek DeSantis, Julie McClean, Sarah Gille, Wilbert Weijer, Sri Hari Krishna Narayan, Yixuan Sun, Alessandro Raganato, Milena Veneziani, Tom Peterka, Hanqi Guo, Wei Xu, Xihaier Luo, Guang Zhou, Hyun Kang, Youngsung Kim, Philip Edelmann, Patrick Heimbach, Andrew Nolan, Tanvir Shahriar, Ben Moore-Maley, Gokhan Danabasoglu, Fred Castruccio | SciDAC ImPACTS |