Area of research
Global and Planetary Change · Water Science and Technology
Research interest
Research interests include Flood myth, Hydrology (agriculture), Learning curve, Computer science, Streamflow, and Stage (stratigraphy).
Predicting synthetic rating curve adjustment factors with explainable machine learning for enhancing the United States operational flood inundation mapping framework
Predicting Synthetic Rating Curve Adjustment Factors with Explainable Machine Learning for Enhancing the United States Operational Flood Inundation Mapping Framework
Using Steady‐State Backwater Analysis to Predict Inundated Area from National Water Model Streamflow Simulations