Primary Convener:
Steven Burian, University of Alabama

Convener:
Martyn Clark, University of Calgary
Katie van Werkhoven, Research Triangle Institute
Jordan Read, Consortium of Universities for the Advancement of Hydrologic Science, Inc.

Early Career Convener:
Louise Arnal, Ouranos

Chair:
Katie van Werkhoven, Research Triangle Institute
Jordan Read, Consortium of Universities for the Advancement of Hydrologic Science, Inc.
Louise Arnal, Ouranos

The emergence of artificial intelligence and access to high-performance computing in hydrology is leading to transformation in water prediction research. New continental domain hydrologic modeling capabilities are enhancing the ability for researchers to develop new perspectives, approaches, and tools that empower them to make coordinated, impactful, and sustained advances to water prediction capabilities. This potential is seen in the recent developments in NOAA’s Next Generation Water Resources Modeling Framework with research support from the Cooperative Institute for Research to Operations in Hydrology (CIROH). Across the community, advances in open software development, cloud computing, process representation, parameter estimation, uncertainty quantification, model coupling, machine learning, and social hydrology are resulting in rapid advances in the accuracy and interpretability of water predictions. This session invites contributions from those making advancements in any aspects of water prediction that can be mobilized and used in community water resources modeling frameworks.

Index Terms
1805 Computational hydrology
1817 Extreme events
1821 Floods
1847 Modeling

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Career and Professional Development
Open Science and Open Data

Co-Organized Sessions:
Science and Society
Atmospheric Sciences
Natural Hazards

Neighborhoods:
3. Earth Covering
1. Science Nexus