most citedDeep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN)

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 1 cited

Deep Learning Hydrodynamic Forecasting for Flooded Region Assessment in Near-Real-Time (DL Hydro-FRAN)

Francisco Haces-Garcia, Natalya Maslennikova, Craig L Glennie +3

Hydrodynamic flood modeling improves hydrologic and hydraulic prediction of storm events. However, the computationally intensive numerical solutions required for high-resolution hy…