Primary Convener:
Zeyu Xue, Pacific Northwest National Laboratory

Convener:
Lingcheng Li, Pacific Northwest National Laboratory
Tong Qiu, Duke University
Wenli Zhao, Columbia University
Donghui Xu, Pacific Northwest National Laboratory
Raymond Sukhdeo, University of California Los Angeles
Shuaiqi WU, University of California Davis

Early Career Convener:
Jianing Fang, Columbia University

Chair:
Lingcheng Li, Pacific Northwest National Laboratory
Tong Qiu, Duke University
Wenli Zhao, Columbia University
Donghui Xu, Pacific Northwest National Laboratory
Shuaiqi WU, University of California Davis
Raymond Sukhdeo, University of California Los Angeles

This session explores high-resolution land surface modeling innovations for accurately monitoring and predicting Earth's terrestrial water, energy, and biogeochemical cycles. Hyper-resolution modeling at scales above 1 km requires innovations in physical process development, machine learning integration, geo AI approaches, data assimilation techniques, geospatial intelligence, and creation of high-resolution datasets for model forcing and validation. We welcome contributions on how hydrologic and ecologic systems respond to extreme events, how these processes alter the atmosphere and influence event occurrence and impact, and the specific mechanisms underlying atmosphere-hydrology-ecology interplay. Topics include process-level evaluation from fine-scale physics to Earth system feedbacks, predictive model development capturing hydrologic-ecological complexity during extreme events, and applications spanning surface hydrology, ecosystem and river dynamics, and land-ocean interactions that support sustainable environmental management. This interdisciplinary session aims to advance predictive capabilities for navigating sustainability challenges including water security, food production, and ecosystem resilience across environmental and socioeconomic transitions.

Index Terms
1622 Earth system modeling
1817 Extreme events
1843 Land|atmosphere interactions
1942 Machine learning

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Machine Learning and AI
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
NH - Natural Hazards
B - Biogeosciences
H - Hydrology

Co-Organized Sessions:
Global Environmental Change
Hydrology

Neighborhoods:
3. Earth Covering