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Tianjiao Pu
Princeton UniversityMeeting roles in:
High-Resolution Flood Inundation Forecasting Using GPU-Accelerated Hydrologic-Hydrodynamic Modeling: Application to Houston, Texas
Boreal Wetland Inundation Maps: GNSS-R and Computer Vision for Improved Water Cycle Monitoring of High Latitude Ecosystems
Meter-Scale Hail Detection from Space
Flood Impacts Across Scales: A tale of a Multi-Method Approach
Daily CYGNSS Water Maps Reveal Inland Water Hot Spots and Hot Moments, from Wetlands to Floodplains
High-Resolution Flood Inundation Mapping of U.S. Tribal Nations Under Current and Future Conditions: The Case of the Santee Sioux Nation
High-resolution flood inundation maps across the contiguous United States under historical and pseudo-global warming scenarios
Tiger-HLM: A GPU-Accelerated Distributed Hydrologic Model
GNSS-R for Surface Hydrology: Product Development and Applications
How well do CYGNSS surface water data of reservoir extent improve machine-learning streamflow predictions?
Data-Driven Streamflow Prediction Using CYGNSS-Based Surface Water Maps and Neural Networks for Applications in Ungauged Basins
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