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Daniel Wright
University of Wisconsin-MadisonMeeting roles in:
The First Step in Nationwide Flood Risk Modeling with Stochastic Storm Transposition: A National Transposition Domain Dataset
Hydrologic Extremes: Understanding Drivers, Risks, and Uncertainty I Poster
Hydrologic Extremes: Understanding Drivers, Risks, and Uncertainty II Oral
Impacts of Nature-Based Solutions on Hydrology and Extreme Heat within Coupled Land-Atmospheric Simulations
Rainfall Frequency Analysis Across Scales in Complex Terrain Using Normalized Stochastic Storm Transposition and Multiscale Storm Selection
How Basin Size, Shape, and Orientation Modulate Rainfall Intensity-Duration-Frequency Curves
Modern Estimation of Probable Maximum Precipitation (PMP)-magnitude Extremes Using Dynamical Model-based and Data-Driven Methods
Modeling Future Heat Extremes in Milwaukee Wisconsin Using Extremes-Preserving Psuedo-Global Warming Methods
Efficient Design Storm Selection Using Inverse Reliability and Stochastic Storm Transposition
AI Improves the Accuracy, Reliability, and Economic Value of Continental-Scale Flood Predictions
Mapping the Motion of Historical Extreme Rainfall Events Across CONUS: A Dataset on Storm Tracks, Speed, and Structure
Stochastic Storm Transposition (SST) for Flood Hazard and Risk Modeling at Multiple Spatial Scales
Satellite-based Precipitation and Model Uncertainty Quantification for Deep Learning-based Streamflow Prediction
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