WaterSciCon 2024 – St. Paul MN USA June 24-27, 2024

The AGU Frontiers in Hydrology Meeting has joined with CUAHSI to form a new conference, the Water Science Conference (WaterSciCon) – using the Catalyzing Collaborations theme, which will take place in Saint Paul, MN from June 24 – 27. There are several sessions for the 2024 WaterSciCon related to water quality, including “FCS-01 – Actionable science through water forecasts” “LO-01 – Advances in Cold Regions Hydrology and Water Quality” and a session that several Technical Committee members are convening “LO-02 – AI Innovations for Water Quality Assessment in Diverse Watersheds”.   See Session Descriptions below.

The abstract submission deadline is January 24th. Please consider submitting an abstract!

FCS-01 – Actionable science through water forecasts
Decisions are fundamentally about what we think is going to happen in the future. Probabilistic forecasts offer extremely useful, although imperfect, information to help make these decisions. This type of actionable science, particularly in the realm of forecasting water quantity and quality, is becoming increasingly indispensable as we confront growing socioeconomic and environmental challenges that are exacerbated by global changes. In this session, we extend an invitation to presenters who can illustrate various aspects of using water forecasts, e.g., coastal flooding, water supply, and noxious algal blooms, in decision support applications. Use cases that demonstrate the practical application of water forecasts, innovative improvements to existing forecast methodologies, and research that contributes to our understanding of water forecasts’ role in decision-making processes are highly desired. Join us as we explore the evolving landscape of water forecasts as actionable science and its significance in addressing complex water challenges.
Jacob Zwart, U.S. Geological Survey, jzwart@usgs.gov
Freya Olsson, Virginia Tech
Christopher Brown, University of Maryland
Lauren Fry, National Oceanic and Atmospheric Administration

Here is the session description for the AI in water quality session : Artificial Intelligence (AI) is rapidly emerging as a transformative approach for extracting invaluable knowledge and insights from datasets. Within the realm of hydrology, AI methods, such as machine learning, have emerged as indispensable tools for modeling complex, non-linear dynamics and providing real-world decision-making insights. This session welcomes contributions from researchers, experts, and practitioners who are leveraging AI tools to advance our understanding of water quality patterns, processes, and management strategies across diverse watersheds. This session aims to foster a multidisciplinary dialogue among hydrologists, data scientists, and policymakers. We invite abstract submissions that are not limited to only: Water Quality Monitoring; Predictive Modeling; Decision Support Systems; Sustainable Watershed Management; Case Studies. In this session we will explore how AI is revolutionizing our approach to understanding, managing, and preserving water quality. Share your innovative research and practical insights to contribute to the collective knowledge needed to address pressing global water quality challenges

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