1.1k citations · 3.6k across the 15 of their papers we have counts for
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Surrogate Model for Shallow Water Equations Solvers with Deep Learning
Yalan Song, Chaopeng Shen, Xiaofeng Liu
Shallow water equations are the foundation of most models for flooding and river hydraulics analysis. These physics-based models are usually expensive and slow to run, thus not sui…
The data synergy effects of time-series deep learning models in hydrology
Kuai Fang, Daniel Kifer, Kathryn Lawson +2
When fitting statistical models to variables in geoscientific disciplines such as hydrology, it is a customary practice to regionalize - to divide a large spatial domain into multi…
Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
Judy P. Che-Castaldo, Rémi Cousin, Stefani Daryanto +15
The electric power grid is a critical societal resource connecting multiple infrastructural domains such as agriculture, transportation, and manufacturing. The electrical grid as a…
Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy
Wenyu Ouyang, Kathryn Lawson, Dapeng Feng +3
A large fraction of major waterways have dams influencing streamflow, which must be accounted for in large-scale hydrologic modeling. However, daily streamflow prediction for basin…