Wildfire Impacts for Temperature Index Snowpack Model Parameters
Jeremy Giovando, PhD, PE
September 2024
ASCE Journal of Hydrologic Engineering
Balancing Complexity, Parsimony, and Applicability in Hydrologic Modeling: A Comparative Evaluation of Four Infiltration Models across Parameterization Scenarios
Sara Rassa; Gerhard Schoener, Ph.D., A.M.ASCE; and Matthew Fleming, P.E.
July 2024
Project Report
Application of Machine Learning algorithms to predict snow accumulations and melt and reservoir inflow. Machine learning model results were compared to results from an HEC-HMS model.
Dino Bellugi, Evan Roberts, Sumana Srivas, and Laurel Larsen from U.C. Berkeley, Chris Tennant from the Army Geospatial Center, and Matt Fleming and Natasha Sokolovskaya from HEC
November 2022
ERDC Technical Report
Demonstrate a workflow that utilizes the existing Jython application programming interface (API) to batch run HEC-HMS simulations with Python. The workflow allows for gridded SMA HEC-HMS model sensitivity and calibration analyses to be conducted in a timely manner.