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Shih-Chieh Kao
Oak Ridge National LaboratoryMeeting roles in:
A Scalable Deep Learning Approach for Daily Stream Temperature Prediction Across Unmonitored U.S. River Reaches
A Large Language Model-Based Python Pipeline for Automated Extraction of Hydroelectric Facility Operational Information
Recent Advances in Large-Scale Hydrologic and Flood Modeling: Assessing and Predicting Extreme Floods I Oral
Future Dynamics of Water Availability and Hydropower Potential at Existing US Reservoirs
Probabilistic Dam Break Flood Risk Mapping Using a Copula-Based Framework and GPU-Accelerated Hydrodynamic Model
Recent Advances in Large-Scale Hydrologic and Flood Modeling: Assessing and Predicting Extreme Floods II Oral
Re-evaluating Probable Maximum Precipitation Estimates: Sensitivity to Storm Transposition, Maximization, and Rotation Using Modern Datasets
Historical and Projected Fire Weather Changes in the Contiguous United States: Evidence from Multi-source Ensemble Analysis
Deep Learning–Driven Downscaling of High-Resolution Precipitation and Temperature Projections for the Conterminous United States
Recent Advances in Large-Scale Hydrologic and Flood Modeling: Assessing and Predicting Extreme Floods III Poster
An Attention-Guided Deep Learning Model for High-Resolution Flood Inundation Prediction – A Proof of Concept
High-Resolution Hydrodynamic Reconstruction of Hurricane Helene (2024) Flooding in the Southeastern United States
Creating long-range scenarios of stream temperature dynamics in a heavily regulated river basin
Stage-Specific Intercomparison of Five Flood Inundation Models Across the Rising and Falling Limbs of a Flood Event
Mapping Shifts in Future Flood Hazards Across the Conterminous United States: A Multi-Model, Regional L-Moment Approach
Advancing Downscaling with Artificial Intelligence for Next-Generation Earth System Projections
Did hydrological processes exacerbate the impact of Hurricane Helene in eastern Tennessee and western North Carolina?
Modeling River Temperature Dynamics in Regulated Basins Using Combined Machine Learning and Physics-Based Approaches
Understanding the Mechanisms Underlying Vegetation Response During the Early Stage of Flash Drought Development Based on CLM5
Projections of Western US Montane Snow Water Equivalent: Total Snow Mass in Regions with Projection Agreement and Divergence
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