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Tiantian Yang
University of Oklahoma Norman CampusMeeting roles in:
Advancing Precipitation Predictions with Physical Models and Artificial Intelligence I Oral
A Large-scale Evaluation of Available Subseasonal Precipitation Forecast Products over the Contiguous United States: Bias, Skill, and Relative Performance
Advancing Precipitation Predictions with Physical Models and Artificial Intelligence II Poster
Improving the Medium-Range Precipitation Forecasts Over CONUS Using Diffusion Model
Benchmarking the Predictive Skill of Streamflow at Subseasonal Timescales across the Contiguous United States with a Deep Learning-based Ensemble Streamflow Prediction Approach
A Physics-Enhanced Conservation-Augmented Net (PECAN) for distributed hydrologic modeling
A Physics-Enhanced Conservation-Augmented Net (PECAN) for distributed hydrologic modeling
A Deep State Space Model for Rainfall-Runoff Simulations
Are AI/DL models’ performance in streamflow simulation comparable to the skills of operational hydrologic model in River Forecast Centers’ real-world setting?
Advancing Water Science Through Artificial Intelligence: Lessons, Strategies, and New Frontiers I Oral
A Deep State Space Model for Daily Reservoir Release Simulation Over the CONUS
Water and Society: Leveraging Digital Twins, AI, and Other Emerging Technologies to Support Management and Governance of Coupled Human-Water Systems I Oral
Advancing Water Science Through Artificial Intelligence: Lessons, Strategies, and New Frontiers II Poster
Comparative Analysis of ML and DL Models for Reservoir Outflow Prediction: Hyperparameter Tuning and Feature Selection Across 441 CONUS Dams
Large-Scale Retrospective Streamflow Performance Comparison of the National Water Model v3.0 and v2.1 Across CONUS
Remote Sensing-based Soil Moisture Estimation in the Irrigation District by Integrating Crop-Specific Differences through a Hybrid Deep Learning-based Approach
Water and Society: Leveraging Digital Twins, AI, and Other Emerging Technologies to Support Management and Governance of Coupled Human-Water Systems II Poster
Comparative AI Techniques for Reservoir Outflow Prediction: Hyperparameter Tuning and Large-Scale Validation across 441 Dams in CONUS
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