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Farshid Rahmani
Pennsylvania State University Main CampusMeeting roles in:
Differentiable high-resolution hydrologic and water quality simulations transform global hydrologic research
When Stream Temperature Meets Streamflow: A Scalable Approach to Modeling Climate-Sensitive Groundwater Recharge
A Differentiable Ecosystem Modeling Approach: A Machine Learning - Physics Hybrid for Simulating Plant Water and Carbon Fluxes
A Multiscale Machine Learning Framework for Suspended Sediment Concentration Prediction across the Contiguous United States
Unifying Advances in Differentiable Modeling for High-Performance Operational Streamflow Forecasting
Icefabric: A Lakehouse Architecture Supporting Reproducible Hydrologic Modeling at Continental Scales in Support of NWMv4
Icefabric: A Lakehouse Architecture Supporting Reproducible Hydrologic Modeling at Continental Scales in Support of NWMv4
Distinct Hydrologic Response Patterns and Trends Worldwide Revealed by Physics-embedded Learning
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