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Scott Steinschneider
Cornell UniversityMeeting roles in:
Do We Understand the Resilience of California's Water System to Drought Extremes?
Operationalization of hydroclimate research within Great Lakes adaptive management: recent successes, challenges, and science priorities
A Hybrid LLM-Bayesian Network Agent Framework for Flood Resilience Analysis
Machine Learning-Based Reconstructions of Historical Daily and Monthly Runoff: A Case Study of the Laurentian Great Lakes Basin
A Hierarchical Bayesian Approach to Evaluate Operational Forecast Skill: Characterizing Improvement in Hydrologic Ensemble Forecast Service (HEFS) Skill Over the Last Decade
Forecast Informed Reservoir Operations (FIRO) for the future: Exploring climate extremes and evolving forecast skill with large-sample synthetic forecasting
A Cross-Basin, Attention-Based LSTM to Enhance Streamflow Prediction in Ungauged Basins
Hypernetworks for deep learning-based hydrological prediction
A Statewide Weather Generator for Climate Change Impact Assessments in Massachusetts
Coordinating and Advancing Multinational Monitoring and Modeling Systems for Global Transboundary Water Resources Management
Introducing Knowledge Distillation for Deep Learning-Based Hydrological Prediction
The Benefits of State-Aware Reservoir Operating Policies in Transboundary Water Systems: Exploring Input Selection and Policy Architecture Under Hydroclimate Uncertainty
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