1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2026★ 1 cited
StefaLand: An Efficient Geoscience Foundation Model That Improves Dynamic Land-Surface Predictions
Nicholas Kraabel, Jiangtao Liu, Yuchen Bian +2
Managing natural resources and mitigating risks from floods, droughts, wildfires, and landslides require models that can accurately predict climate-driven land-surface responses. T…
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…