3 papers
physics.geo-ph2025
Diffusion-Based Probabilistic Modeling for Hourly Streamflow Prediction and Assimilation
Wencong Yang, Haoyu Ji, Leo Lonzarich +2
Hourly predictions are critical for issuing flood warnings as the flood peaks on the hourly scale can be distinctly higher than the corresponding daily ones. Currently a popular ho…
physics.geo-ph2025
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning
Haoyu Ji, Yalan Song, Tadd Bindas +9
To track rapid changes within our water sector, Global Water Models (GWMs) need to realistically represent hydrologic systems' response patterns - such as baseflow fraction - but a…
physics.flu-dyn2025
Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models
Amirmoez Jamaat, Yalan Song, Farshid Rahmani +3
Data assimilation (DA) enables hydrologic models to update their internal states using near-real-time observations for more accurate forecasts. With deep neural networks like long…