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  • Presentation | H31G: 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 I Oral
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  • H31G-08: NextGen In A Box (NGIAB) and DataStream Visualizer: A Containerized Web Application for Interactive Geospatial and Temporal Visualization and Analysis of Hydrologic Model Outputs
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  • Location Icon225-227
    NOLA CC
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Author(s):
Elkin Giovanni Romero Bustamante, Aquaveo llc (First Author, Presenting Author)
Arpita Patel, The University of Alabama
James Halgren, The University of Alabama
Manjila Singh, The University of Alabama
Steven Burian, Cooperative Institute for Research to Operations in Hydrology (CIROH), Alabama Water Institute, The University of Alabama, Tuscaloosa, AL
Zachary Wills, NOAA Affiliate, University Corporation for Atmospheric Research
Jordan Laser, Lynker Corporation
Sam Lamont, Research Triangle Institute
Josh Cunningham, University of Alabama
Trupesh Patel, The University of Alabama
Nia Minor, University of Alabama
Nels Frazier, Lynker
Benjamin Lee, The University of Alabama
Nathan Swain, Brigham Young University
Daniel Ames, Brigham Young University


Predicting how much water will flow through rivers and streams is crucial for flood safety, water supply, and ecosystem health. Scientists have built a powerful new computer model called “NextGen” to make these forecasts, but its results can be hard to explore and check. We created the NextGen In A Box Data Visualizer—an easy-to-use website that lets anyone see model predictions on a map and as simple graphs, then compare them with real-world measurements from U.S. Geological Survey gauges. The Visualizer runs inside portable software “containers,” so it works the same on a laptop, in the cloud, or on a supercomputer. With just a few clicks, users can watch the model’s hydrograph trace rise and fall next to observed river flows and instantly see summary scores that show where the forecasts are strong or need improvement. In a test on Utah’s Provo River, the tool quickly highlighted that the model captured seasonal flow changes well but missed the exact timing of peak floods. By lowering technical barriers, the Visualizer helps researchers, water managers, and the public explore and improve river-flow forecasts together.



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