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Abstract: A Flexible Hybrid Flood Modeling Framework to Improve Computational Efficiency in Large Watersheds (AGU25)

A Flexible Hybrid Flood Modeling Framework to Improve Computational Efficiency in Large Watersheds

Rezvane Ghorbani1, Siddharth Saksena1, Sayan Dey2, Venkatesh Merwade3 and Peter Singhofen4, (1)Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States, (2)Saint Louis University Main Campus, Department of Earth, Environmental and Geospatial Science, Saint Louis, United States, (3)Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States, (4)Streamline Technologies, Winter Springs, FL, United States
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