06/30/2026
π¨ Call for Abstracts! to AGU26 Session H078: Hydroclimate and Adaptive Management π¨
The intersection of quantitative hydroclimatology and adaptive management is an active area of development. This American Geophysical Union (AGU) Fall Meeting session brings together research on this topic to facilitate knowledge exchange and discussion among researchers and operational practitioners. We invite abstracts that fall under this broad umbrella for consideration in our session, described below.
AGU Fall Meeting: 7β11 December 2026, San Francisco, CA
Session Title:
H078. Hydroclimate Data, Modeling, and Machine Learning for Adaptive Management of Large Lakes, Coasts, and Watersheds
Session Description:
Adaptive management of large lakes, coastal systems, and watersheds requires hydroclimate information that supports decision-making across a range of spatiotemporal scales. This includes evaluating management alternatives, anticipating variability and extremes, and understanding the capabilities and limitations of management actions. These systems present challenges, including coupling within the land-water-atmosphere system, complex feedbacks, sparse observational coverage, and the need to integrate data and models across jurisdictions. Advances in coupled Earth system modeling, in situ and remote sensing observations, and machine learning are improving the ability to characterize and predict hydroclimate variability. This session invites contributions that advance hydroclimate data, models, and analysis frameworks in support of adaptive management, including coupled atmosphere-lake-ice-wave systems, integration of observational datasets, hybrid physics-machine learning and data assimilation approaches, and methods for uncertainty quantification in the context of decision-making. We encourage contributions that connect methodological advances to decision-making, including hazard mitigation, resilience planning, and resource management.
βοΈ Abstract Submission Deadline: 5 August 2026 βοΈ
Session Information and Abstract Submission:
https://agu.confex.com/agu/agu26/prelim.cgi/Session/281524
The conveners below enthusiastically invite you to submit an abstract to this session. Please also feel free to share this invitation with other researchers, operational practitioners, and institutions.
-- Dani Jones, Cooperative Institute for Great Lakes Research ( ), University of Michigan
-- Lauren Fry, NOAA Great Lakes Environmental Research Laboratory
-- Jia Wang, NOAA Great Lakes Environmental Research Laboratory
-- Pengfei Xue, Michigan Technological University
-- Christine Swanson, Cornell University
cc: International Association for Great Lakes Research (IAGLR) Great Lakes Observing System Michigan Sea Grant The Nature Conservancy in Michigan UWM School of Freshwater Sciences Great Lakes Institute for Environmental Research (GLIER) LSSU Center for Freshwater Research and Education LSSU College of Great Lakes Ecology and Education UMD Swenson College of Science & Engineering Michigan Engineering University of Michigan - Climate & Space University of Michigan School for Environment and Sustainability Michigan Earth University of Michigan College of Literature, Science, and the Arts U-M Graham Sustainability Institute GVSU Annis Water Resources Institute MSU College of Natural Science Central Michigan University Ohio Sea Grant Ohio State - College of Food, Agricultural, and Environmental Sciences
Adaptive management of large lakes, coastal systems, and watersheds requires hydroclimate information that supports decision-making across a range of spatiotemporal scales. This includes evaluating management alternatives, anticipating variability and extremes, and understanding the capabilities and...