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Session Proposal: New Developments and Future Directions in Community Water Resources Modeling – Synergy at the Interface of Process Understanding, Artificial Intelligence, Computer Science, Operations, and Decision Making (AGU25)

H107
New Developments and Future Directions in Community Water Resources Modeling – Synergy at the Interface of Process Understanding, Artificial Intelligence, Computer Science, Operations, and Decision Making

Session ID#: 252712

Session Description:
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 [HYDROLOGY]
1817 Extreme events [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
Primary Convener:  Steven J Burian, University of Alabama, Tuscaloosa, AL, United States
Conveners:  Martyn P Clark, University of Calgary, Department of Civil Engineering, Schulich School of Engineering, Calgary, AB, Canada, Katie van Werkhoven, Research Triangle Institute, Remote, United States and Jordan Stuart Read, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Cambridge, United States
Student/Early Career Convener:  Louise Arnal, Ouranos, Montreal, QC, Canada
 
HydroSensorNet: An Open-Source Python Package for Optimal Hydrological Monitoring Network Design (1854516)
Jeil Oh, University of Texas at Austin, Maseeh Department of Civil, Architectural and Environmental Engineering, Austin, TX, United States and Matthew David Bartos, University of Texas at Austin, Maseeh Department of Civil, Architectural and Environmental Engineering, Austin, United States
 
The Coastal Coupling Community of Practice: Contributing to the Modeling Community (1855720)
Rick A Luettich Jr1, Rebecca Atkins2, Camaron George3, David Kidwell2, Christopher Massey4, Hamed Moftakhari5, Margaret L Palmsten6, Cristina Urizar7, David R. Vallee8 and David Welch9, (1)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, (2)NOAA, National Centers for Coastal Ocean Science, Silver Spring, MD, United States, (3)National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, (4)U.S. Army Engineer Research and Development Center (ERDC), Coastal & Hydraulics Laboratory, Vicksburg, United States, (5)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States, (6)U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St Petersburg, FL, United States, (7)NOAA/NOS/CO-OPS, Bradenton, United States, (8)National Weather Service Northeast River Forecast Center, Taunton, MA, United States, (9)National Weather Service Lower Mississippi River Forecast Center, New Orleans, United States
 
Towards Representing Pluvial Flooding within NOAA’s NextGen Modeling Framework (1864536)
Yogesh Bhattarai, Howard University, Department of Civil and Environmental Engineering, Washington, DC, United States, Supath Dhital, The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, Samrin Sauda, The Pennsylvania State University, Department of Geography, State College, United States, Mohamed Abdelkader, University of Iowa, IIHR—Hydroscience & Engineering, Iowa City, United States, Jonathan M Frame, University of Alabama, Department of Geological Sciences, Tuscaloosa, AL, United States, Marouane Temimi, Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering (CEOE), Hoboken, United States and Supath Dhital
 
Assessing the use of Physics and AI-Driven Precipitation Forecasts for Streamflow Prediction Using the NextGen In A Box (NGIAB) National Water Model (1879876)
Jorge Bravo, Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering (CEOE), Union City, NJ, United States and Marouane Temimi, Stevens Institute of Technology, Department of Civil, Environmental, and Ocean Engineering (CEOE), Hoboken, United States
 
Toward Improving Short to Medium-Range Ensemble Streamflow Forecasting: Dissective Analysis of Predictive Skill for the Hydrologic Ensemble Forecast Service (HEFS) (1882362)
Sunghee Kim, University of Texas at Arlington, Arlington, TX, United States and Dong-Jun Seo, University of Texas at Arlington, Civil Engineeing (Water Resources), Arlington, TX, United States
 
Investigation of Spatial Scale Effects on Hydrologic Modeling Based on the Hillslope Link Model (1892666)
Hari Dhital, Missouri University of Science and Technology, Rolla, MO, United States, Dr. Bong Chul Seo, Ph.D., Missouri University of Science and Technology, Rolla, United States, Ungtae Kim, Cleveland State University, Civil and Environmental Engineering, Cleveland, United States, Felipe Quintero, University of Iowa, Iowa Flood Center and IIHR-Hydroscience and Engineering, Iowa City, United States and Ruben Molina, University of Iowa, Iowa Flood Center and IIHR-Hydroscience and Engineering, Iowa City, IA, United States
 
Decision Points and Implications of Hydrologic Model Benchmarking Approaches (1893241)
Sydney Foks, U.S. Geological Survey, Water Resources Mission Area, Lakewood, United States, Timothy O Hodson, U.S. Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Urbana, United States, Keith Doore, U.S. Geological Survey, Central Midwest Water Science Center, Tiffin, United States, Katharine Kolb, U.S. Geological Survey, South Atlantic Water Science Center, Charlotte, United States, Andrew Laws, U.S. Geological Survey, Upper Midwest Water Science Center, St. Paul, United States, Thomas Mark Over, U.S. Geological Survey, Central Midwest Water Science Center, Urbana, Illinois, United States, Colin A Penn, Colorado School of Mines, Lakewood, United States, Hannah Podzorski, U.S. Geological Survey, Central Midwest Water Science Center, Iowa City, United States, Fleford Redoloza, U.S. Geological Survey, Dakota Water Science Center, Rapid City, United States, Caelan Simeone, U.S. Geological Survey, Oregon Water Science Center, Portland, United States, Leah Staub, U.S. Geological Survey, Maryland-Delaware-DC Water Science Center, Catonsville, United States and Roland Joseph Viger, U.S. Geological Survey, Water Resources, Boulder, United States
 
Large-Scale Retrospective Streamflow Performance Comparison of the National Water Model v3.0 and v2.1 Across CONUS (1893590)
Ashish Ojha, Haowen Yue and Tiantian Yang, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science, Norman, United States
 
Assessment of Channel Routing Methods in the NextGen National Water Model (1893783)
Md Saiduzzaman, Missouri University of Science and Technology, Rolla, MO, United States, Dr. Bong Chul Seo, Ph.D., Missouri University of Science and Technology, Rolla, United States, Ibrahim Demir, Tulane University of Louisiana, New Orleans, United States and DongHa Kim, NOAA Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States
 
AI-enhanced Gamification for Flood Resilience Literacy (1894809)
Qiuhua Duan1, Hudson Markin2, Yizhou Yang3, Yong You3 and Ashley Ulumben3, (1)University of Alabama, Civil, Construction, and Environmental Engineering, Tuscaloosa, AL, United States, (2)University of Alabama, Computer Science, Tuscaloosa, AL, United States, (3)University of Alabama, Civil, Construction, and Environmental Engineering, Tuscaloosa, United States
 
Hydrologic Process Synthesis across Diverse Landscapes 1: Hierarchical Classification of Hydrologic Provinces across North America (1897276)
Wouter Knoben1, Hilary K McMillan2, Ying Fan3, Peter Wagener4, Irene Garousi Nejad5, Julia Masterman6, Jordan Stuart Read6, Shaun Carney7, Katie van Werkhoven8 and Martyn P Clark9, (1)University of Calgary, Department of Civil Engineering, Schulich School of Engineering, Calgary, Canada, (2)San Diego State University, Department of Geography, San Diego, CA, United States, (3)Rutgers University, Department of Earth and Planetary Sciences, Piscataway, United States, (4)University of Calgary, Calgary, AB, Canada, (5)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Arlington, United States, (6)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Cambridge, United States, (7)Research Triangle Institute, Research Triangle Park, United States, (8)Research Triangle Institute, Remote, United States, (9)University of Calgary, Department of Civil Engineering, Schulich School of Engineering, Calgary, AB, Canada
 
Dependance of Peak Discharge in Non-Cohesive Dams on Soil Properties (1898190)
Alireza Mashreghi1, Mohamed Torkomany2 and Hanif Chaudhry2, (1)University of South Carolina Columbia, Columbia, SC, United States, (2)University of South Carolina Columbia, Columbia, United States
 
Hydrologic Process Synthesis across Diverse Landscapes 2: Hierarchical Development of Perceptual Models across North America (1899715)
Hilary K McMillan1, Wouter Knoben2, Ying Fan3, Peter Wagener4, Irene Garousi Nejad5, Julia Masterman6, Jordan Stuart Read6, Shaun Carney7, Katie van Werkhoven8 and Martyn P Clark9, (1)San Diego State University, Department of Geography, San Diego, CA, United States, (2)University of Bristol, Bristol, United Kingdom, (3)Rutgers University, Department of Earth and Planetary Sciences, Piscataway, United States, (4)University of Calgary, Calgary, AB, Canada, (5)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Arlington, United States, (6)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Cambridge, United States, (7)Research Triangle Institute, Research Triangle Park, United States, (8)Research Triangle Institute, Remote, United States, (9)University of Calgary, Department of Civil Engineering, Schulich School of Engineering, Calgary, AB, Canada
 
A Generalized KGE Metric for Improved Training (information Extraction) and Evaluation of Dynamical Systems Models (1909356)
Muhammad Jawad1, Hoshin Gupta2, Ali Behrangi1 and Guo-Yue Niu1, (1)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, United States, (2)Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, United States
 
NextGen Research DataStream: Community Contributions Towards Improved Hydrologic Predictions (1912965)
Mr. Jordan Laser, MA, Lynker Corporation, Thornton, Colorado, UNITED STATES, Zachary Wills, NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, United States, Nels Frazier, University of Wyoming, Laramie, WY, United States, Arpita Patel, The University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States and James Halgren, The University of Alabama, Alabama Water Institute, Tuscaloosa, United States
 
Multi-Objective Assessment of the Multi-Model Performance Within the Next Generation Water Resources Modeling (NextGen) Framework (1918622)
Xia Feng, The University of Alabama, CIROH, Tuscaloosa, United States and Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States
 
An Intercomparison of Hydrologic Model Performance for Small Stream Flooding Prediction Using NOAA-OWP’s NextGen Framework (1920023)
Hudson Davis, University of Texas at Austin, Austin, TX, United States and Seann M Reed, NOAA/NWS Middle Atlantic River Forecast Center, State College, United States
 
Attribution of Compound Flooding Drivers Using the Coupled NextGen NWM and SCHISM Model and SHAP-based Explainable AI: A Case Study of Hurricane Matthew in Winyah Bay (1922128)
Huan Wang, Coastal Carolina University, Conway, SC, United States, Shaowu Bao, Coastal Carolina University, Department of Marine Science, Conway, SC, United States and Leonard J Pietrafesa, North Carolina State University at Raleigh, Raleigh, United States; Coastal Carolina University, Burroughs and Chapin Center for Marine and Wetland Studies, Conway, United States
 
A Tiled Calibration Framework for Hydrological Models Using Land Use and Land Cover Variability (1928016)
Md. Shahabul Alam, The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, Sifan Abera Koriche, University of Alabama, Tuscaloosa, AL, United States, Peter La Follette, Lynker, Boulder, United States, Ahmad Jan Khattak, Oak Ridge National Laboratory, Watershed Systems Modeling Group, Environmental Sciences Division, Oak Ridge, United States; NOAA - Affiliate, Office of Water Prediction, National Water Center, Tuscaloosa, United States, Fred L. Ogden, NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, Savalan Naser Neisary, The University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, United States, Mukesh Kumar, University of Alabama, Tuscaloosa, United States and Steven J Burian, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States
 
Assessing AORC Gridded Forcing Datasets for Streamflow Prediction (1928964)
Mohamed M. Fathi, Florida Gulf Coast University, Fort Myers, FL, United States, Mukesh Kumar, University of Alabama, Civil, Construction and Environmental Engineering, Tuscaloosa, AL, United States, Kaustubh Anil Salvi, University of Alabama, Civil, Construction, and Environmental Engg., Tuscaloosa, United States and Steven J Burian, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States
 
Optimizing Hydrological Predictions in the NextGen Framework: A Systematic Evaluation of Hydrofabric and HRU Discretization (1930778)
Sifan Abera Koriche1, Md. Shahabul Alam1, Fred L. Ogden2, Ahmad Jan Khattak3, Mukesh Kumar4, Joshua Cunningham1, Peter La Follette3, Hongli Liu5, James Halgren1 and Steven J Burian6, (1)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (2)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (3)Lynker, Boulder, United States, (4)University of Alabama, Civil, Construction and Environmental Engineering, Tuscaloosa, AL, United States, (5)University of Alberta, Department of Civil and Environmental Engineering, Edmonton, AB, Canada, (6)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States
 
Adaptive Reservoir Operations in a Snow-Dominated Basin Using Direct Policy Search (1937433)
Abdul Moiz1, Kyla Semmendinger Raney1, Julie Kalansky1, Ty Brandt1, Ming Pan1, Robert Hartman2 and Taylor Dixon1, (1)Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, San Diego, United States, (2)Robert K. Hartman Consulting Associates, Roseville, United States
 
A BMI-Compliant Python Framework for Hillslope-Link Hydrologic Modeling (1949014)
Ruben Molina, University of Iowa, Iowa Flood Center and IIHR-Hydroscience and Engineering, Iowa City, IA, United States, Hari Dhital, Missouri University of Science and Technology, Rolla, MO, United States, Dr. Bong Chul Seo, Ph.D., Missouri University of Science and Technology, Rolla, United States and Felipe Quintero, University of Iowa, Iowa Flood Center and IIHR-Hydroscience and Engineering, Iowa City, United States
 
Advancing t-route Toward Flexible and Scalable Flow Routing to Support Open Streamflow Data Access (1953146)
Sonam Lama1, Josh Cunningham2, James Halgren1, Quinn Lee1 and Brodie Alexander3, (1)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (2)University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States, (3)University of Alabama, Alabama Water Institute, Tuscaloosa, United States
 
NextGen In A Box (NGIAB) and DataStream Visualizer: A Containerized Web Application for Interactive Geospatial and Temporal Visualization and Analysis of Hydrologic Model Outputs (1957657)
Elkin Giovanni Romero Bustamante1, Arpita Patel2, James Halgren3, Manjila Singh3, Steven J Burian4, Zachary Wills5, Mr. Jordan Laser, MA6, Sam Lamont7, Josh Cunningham8, Trupesh Patel3, Nels J Frazier9, Nia Minor10, Benjamin Lee2, Nathan R Swain11 and Daniel P Ames12, (1)Aquaveo llc, Provo, United States, (2)The University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States, (3)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (4)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States, (5)NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (6)Lynker Corporation, Thornton, Colorado, UNITED STATES, (7)Research Triangle Institute, Center for Water Resources, Remote, United States, (8)University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States, (9)Lynker, Boulder, United States, (10)University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (11)Brigham Young University, Provo, United States, (12)Brigham Young University, Civil and Environmental Engineering, Provo, United States
 
Advancements in Coastal Community Modeling on the Cloud: Development and Implementation of the National Water Model Total Water Level Retrospective Run (1959725)
Trey Flowers1, Jason Ducker2,3, Zachary Willis4, Mykel Alvis5, Katherine Moore Powell6, Minna Ho7, Michael Lalime8, Tiffany C Vance9, Patrick Tripp10, Micah Wengren11, Breanna Vanderplow8, Brian A. Cosgrove12, Camaron George13 and Joseph Zhang14, (1)Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)NOAA Affiliate, Silver Spring, MD, United States, (3)Lynker, Tuscaloosa, United States, (4)NOAA Affiliate, Lynker, Silver Spring, United States, (5)Lynker, Birmingham, United States, (6)NOAA Affiliate, Lynker, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, Tuscaloosa, United States, (7)University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States, (8)NOAA Affiliate, ISS, U.S. Integrated Ocean Observing System, Silver Spring, United States, (9)U.S. Integrated Ocean Observing System, Seattle, WA, United States, (10)RPS Oceans – USA, South Kingstown, United States, (11)U.S. Integrated Ocean Observing System, Silver Spring, United States, (12)NOAA/NWS/OHD, Silver Spring, United States, (13)National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States, (14)Virginia Institute of Marine Science, Gloucester Point, United States
 
Evaluating Machine Learning Hydrologic Modeling under Future Climate Scenarios (1961603)
Meelisha Maharjan1, Colin J Gleason2, Bart Nijssen3 and Casey Brown2, (1)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, (2)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, (3)University of Washington Seattle Campus, Civil and Environmental Engineering, Seattle, WA, United States
 
Enabling Community Research with the Next Generation National Water Modeling Framework on through Streamlined Workflows (1963191)
Ayman Nassar1, David G Tarboton1, Furqan Baig2, Arpita Patel3, Anthony Castronova4, James Halgren5, Josh Cunningham6, Irene Garousi Nejad4, Benjamin Lee3 and Bhavya Duvvuri3, (1)Utah State University, Utah Water Research Laboratory, Civil and Environmental Engineering, Logan, UT, United States, (2)University of Illinois at Urbana Champaign, Urbana, United States, (3)The University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States, (4)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Arlington, United States, (5)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (6)University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States
 
Including preferential flow in the Next Generation Water Resources Modeling Framework (1963531)
Peter La Follette1, Ahmad Jan Khattak2, Fred L. Ogden3, Zachary P McEachran4, Nels J Frazier2, Austin Austin Raney II2, Sean Horvath5, Sifan Abera Koriche6, Md. Shahabul Alam7 and John Little Nieber8, (1)Lynker, Boulder, CO, United States, (2)Lynker, Boulder, United States, (3)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, United States, (4)University of Minnesota Twin Cities, Department of Soil, Water, and Climate, St. Paul, United States, (5)Lynker, Leesburg, United States, (6)University of Alabama, Tuscaloosa, AL, United States, (7)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (8)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States
 
Improving Streamflow Predictions in Reservoir-Influenced Basins Using Machine Learning (1964579)
Prabhat Banjara, Casey Brown, Baptiste Francois, Colin J Gleason and Konstantinos Andreadis, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States
 
Advancing the National Water Model from Research to Operations through Strategic Partnerships and Community Modeling (1965976)
Trey Flowers, National Water Center, Office of Water Prediction, National Weather Service, NOAA, Tuscaloosa, AL, United States and Brian A. Cosgrove, NOAA/NWS/OHD, Silver Spring, United States
 
Are AI/DL models’ performance in streamflow simulation comparable to the skills of operational hydrologic model in River Forecast Centers’ real-world setting? (1966894)
Haowen Yue1, Jiaorui Zhang1, William P Miller2, John Lhotak2, Sarah Ann Baker3 and Tiantian Yang1, (1)University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science, Norman, United States, (2)NOAA Colorado Basin River Forecast Center, National Weather Service, Salt Lake City, United States, (3)Bureau of Reclamation, Boulder, CO, United States
 
A Path Forward for Integrated Hydro-Terrestrial Modeling (Invited) (1967332)
Katherine Skalak, U.S. Geological Survey, Water Mission Area-Earth System Processes Division, Reston, United States, David P Lesmes, USGS, Water Mission Area, Reston, United States, Nathalie Voisin, Pacific Northwest National Laboratory, Richland, United States, Patrick M Reed, Cornell University, School of Civil and Environmental Engineering, Ithaca, NY, United States, Ying Fan, Rutgers University, Department of Earth and Planetary Sciences, Piscataway, United States, Yishen Li, Yale University, New Haven, United States, Aubrey L Dugger, NSF National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States and Timothy Schneider, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States
 
Cloud infrastructure for NextGen Water Resources Modeling : CIROH’s R2OHC Cloud Platform (1969148)
Arpita Patel1, Harsha Vemula1, James Halgren2, Benjamin Lee3, Manjila Singh2, Nia Minor4, Purushotham Bangalore5, Jeffery Carver5 and Steven J Burian6, (1)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Tuscaloosa, United States, (2)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (3)The University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States, (4)University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (5)The University of Alabama, Department of Computer Science, Tuscaloosa, United States, (6)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States
 
Evaluating the Usability of Flood Inundation Maps Through Experimental Testing (1970872)
Dr. Melissa A Kenney, PhD1, Sajani Kandel1, Snehalata Sainjoo2, David R. Vallee3 and Kate Abshire4, (1)University of Minnesota, Institute on the Environment, St Paul, United States, (2)University of Minnesota, Institute on the Environment, St. Paul, United States, (3)National Weather Service Northeast River Forecast Center, Taunton, MA, United States, (4)NOAA National Weather Service, Silver Spring, United States
 
CIROH DocuHub and Portal: Knowledge Management System for Collaborative Water Resources Research (1971599)
Arpita Patel1, Elkin Giovanni Romero Bustamante2, Manjila Singh3, Nia Minor4, James Halgren3, Daniel P Ames5, Sagy Cohen6 and Steven J Burian7, (1)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Tuscaloosa, United States, (2)Aquaveo llc, Provo, United States, (3)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (4)University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (5)Brigham Young University, Civil and Environmental Engineering, Provo, United States, (6)The University of Alabama, Tuscaloosa, AL, United States, (7)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States
 
Accelerating Coastal Modeling in the Cloud: Lessons from the NOAA/ NOS Coastal Modeling Cloud Sandbox (1974152)
Katherine Moore Moore Powell1, Tiffany C Vance2, Michael Lalime3, Zachary Willis4, Micah Wengren5, Mykel Alvis6, Patrick Tripp7, Breanna Vanderplow3 and Jason Ducker8, (1)NOAA Affiliate, Lynker, Leesburg, VA, United States, (2)U.S. Integrated Ocean Observing System, Seattle, WA, United States, (3)NOAA Affiliate, ISS, U.S. Integrated Ocean Observing System, Silver Spring, United States, (4)NOAA Affiliate, Lynker, Silver Spring, United States, (5)U.S. Integrated Ocean Observing System, Silver Spring, United States, (6)Lynker, Birmingham, United States, (7)RPS Oceans – USA, South Kingstown, United States, (8)Lynker, Tuscaloosa, United States
 
From Calibration to Prediction: Enabling Large-Scale Hydrologic Modeling through Formulation and Parameter Regionalization in NextGen (1974663)
Yuqiong Liu1,2, Matthew Deshotel2,3, Jeffrey Wade2, Kyle Larkin2,4, Scott Lawson2,3, Mark Woodbury2,5, Edwin Welles2,6 and Richard Barnhill2,4, (1)Earth Resources Technology Inc, Laurel, MD, United States, (2)Raython, Dulles, United States, (3)Dewberry, Ashland, United States, (4)Riverside Technology, Fort Collins, United States, (5)Riverside Technology, Loveland, United States, (6)Deltares USA, Silver Spring, United States
 
Advancing Hydrological Modeling: CIROH’s NextGen In A Box (NGIAB) and Enhanced Tools for Community-Driven Research (1975543)
Bhavya Duvvuri1, Arpita Patel2, James Halgren3, Zachary Willis4, Benjamin Lee2, Mr. Jordan Laser, MA5, Manjila Singh3, Joshua Cunningham3, Elkin Giovanni Romero Bustamante6, Sam Lamont7, Nia Minor8, Trupesh Patel3, Steven J Burian9 and Arpita Patel, (1)University of Alabama, CIROH, Alabama Water Institute, Tuscaloosa, United States, (2)The University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States, (3)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (4)NOAA Affiliate, Lynker, Silver Spring, United States, (5)Lynker Corporation, Thornton, Colorado, UNITED STATES, (6)Aquaveo llc, Provo, United States, (7)Research Triangle Institute, Center for Water Resources, Remote, United States, (8)University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (9)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States
 
Hydrologic Process Synthesis across Diverse Landscapes 3: Operational Forecasting Perspectives to Inform Perceptual Model Design across North America (1976989)
Shaun Carney1, Katie van Werkhoven2, Wouter Knoben3, Hilary K McMillan4, Ying Fan5, Martyn P Clark6, Peter Wagener7, Irene Garousi Nejad8, Julia Masterman9 and Jordan Stuart Read9, (1)Research Triangle Institute, Research Triangle Park, United States, (2)Research Triangle Institute, Remote, United States, (3)University of Bristol, Bristol, United Kingdom, (4)San Diego State University, Department of Geography, San Diego, CA, United States, (5)Rutgers University, Department of Earth and Planetary Sciences, Piscataway, United States, (6)University of Calgary, Department of Civil Engineering, Schulich School of Engineering, Calgary, AB, Canada, (7)University of Calgary, Calgary, AB, Canada, (8)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Arlington, United States, (9)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Cambridge, United States
 
Next Generation AI-Enabled Precipitation Estimate Workflows for River Forecast Centers (1979828)
Patrick J Clemins, University of Vermont, Department of Computer Science, Burlington, VT, United States, Safwan Wshah, University of Vermont, Vermont Artificial Intelligence Lab (VaiL), Department of Computer Science, Burlington, United States and Noah B. Beckage, University of Vermont, Burlington, United States
 
High-Performance Computing Infrastructure for NextGen Water Resources Modeling: CIROH's R2OHC HPC Platform (1980985)
Trupesh Patel1, Arpita Patel2, James Halgren1, Nia Minor3, Jeffery Carver4, Purushotham Bangalore4 and Steven J Burian5, (1)The University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (2)The University of Alabama, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, Tuscaloosa, United States, (3)University of Alabama, Alabama Water Institute, Tuscaloosa, United States, (4)The University of Alabama, Department of Computer Science, Tuscaloosa, United States, (5)Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL, Alabama Water Institute, Tuscaloosa, United States
 
A Decade of Impact: The Water Prediction Innovators Summer Institute (1982549)
Emily Clark1, Sagy Cohen2, Jordan Stuart Read3, Julia Masterman3 and Lanna Nations4, (1)Consortium of Universities for the Advancement of Hydrological Science, Inc., Arlington, United States, (2)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (3)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Cambridge, United States, (4)University of Alabama, Alabama Water Institute, Tuscaloosa, United States
 
A Modular High-Performance Computing Framework for Forecast Skill Assessment of Cyanobacterial Harmful Algal Bloom Prediction Systems (1983374)
Noah Beckage1, Patrick J Clemins2, Panagiotis D. Oikonomou3, Rakhshinda Bano1, Scott Turnbull1 and Asim Zia4, (1)University of Vermont, Burlington, United States, (2)University of Vermont, Department of Computer Science, Burlington, VT, United States, (3)University of Vermont, Department of Civil and Environmental Engineering, Burlington, United States, (4)University of Vermont, Department of Community Development and Applied Economics, Department of Computer Science, Burlington, VT, United States
 
Unifying Advances in Differentiable Modeling for High-Performance Operational Streamflow Forecasting (1994042)
Leo Lonzarich1, Yalan Song1, Tadd Bindas1, Farshid Rahmani1, Jiangtao Liu2, Abdolmehdi Behroozi3, Doaa Aboelyazeed3 and Chaopeng Shen1, (1)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States, (2)Pennsylvania State University, Department of Civil and Environmental Engineering, University Park, United States, (3)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States
 
Automating Model Configuration for NexGen with the Model Setup Workflow Manager (1994232)
Shevy Greene, RTX, Dulles, United States and Jeffrey Wade, Raython, Dulles, United States
 
Filling the Gaps: Enhancing Climate Data Completeness in American Samoa Using Gradient Boosting Machine Learning Models (2000305)
Liza McLatchy1, Christopher k Shuler1, Casey TeBeest1, Ryan Johnson2 and Wei Hua-Hsien3, (1)University of Hawaii at Manoa, Water Resources Research Center, Honolulu, United States, (2)University of Utah, Civil and Environmenal Engineering, Salt Lake City, United States, (3)American Samoa Power Authority, Pago Pago, American Samoa
 
Building a Community Testbed for Hydrologic Prediction: Examples from CIROH Benchmarking Protocols (2000794)
Josh Sturtevant1, Andy Wood2, Ethan Ritchie2, Terri S Hogue3, Katie van Werkhoven4 and Matt Denno5, (1)Colorado School of Mines, Golden, CO, United States, (2)Colorado School of Mines, Golden, United States, (3)Colorado School of Mines, Civil and Environmental Engineering, Hydrologic Science and Engineering, Golden, CO, United States, (4)Research Triangle Institute, Remote, United States, (5)Research Triangle Institute, Center for Water Resources, Remote, United States
 
AI-Assisted Voice Enabled Computing Framework for Hydrological Analysis (2001651)
Carlos Erazo, University of Iowa, Iowa City, IA, United States and Ibrahim Demir, Tulane University, New Orleans, United States
 
HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology (2002299)
Carlos Erazo, University of Iowa, Iowa City, IA, United States and Ibrahim Demir, Tulane University, New Orleans, United States
 
How AI Partnerships Work in Hydrologic Simulation? (2002389)
Vidya Samadi1, Sadegh Tabas2, Mostafa Saberian3, Adarsha Neupane1, Nima Zafarmomen1 and Krishna Panthi4, (1)Clemson University, Department of Agricultural Sciences, Clemson, SC, United States, (2)Axiom at NOAA/NWS/NCEP/EMC, College Park, United States, (3)Clemson University, Department of Civil Engineering, Clemson, United States, (4)Clemson University, School of Computing, Clemson, SC, United States
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