Aug 5th Deadline Approaching: Call for Abstract to AGU26 Session H078: Hydroclimate and Adaptive Management

[Pengfei Xue]

Invitation to Submit an Abstract to AGU26 Session H078: Hydroclimate and Adaptive Management

Dear Colleagues,

The intersection of quantitative hydroclimatology and adaptive management is an active area of development. Our AGU Fall Meeting session gathers research on this topic in order to facilitate knowledge exchange and discussion between researchers and operational practitioners. We invite abstracts that fall under this broad umbrella to submit to our session, described below.  

AGU Fall Meeting: 7-11 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 contexts, including hazard mitigation, resilience planning, and management.

Abstract Submission Deadline: 5 August 2026

Session Info and Abstract Submission:
https://agu.confex.com/agu/agu26/prelim.cgi/Session/281524

We enthusiastically invite you to submit an abstract to our session. Please also feel free to distribute this invitation to other researchers, operational practitioners, and institutions.

Best wishes,
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