Modeling of Compound Flooding in Coastal Environments

Explore compound flooding in coastal environments through this 55-minute webinar from the SIAM Geosciences series. Delve into the challenges of modeling simultaneous flooding events, such as combined rainfall and storm surge during hurricanes. Learn about recent developments in coupling rainfall and storm surge models, which traditionally operate at different scales and have been developed separately. Examine case studies from the Texas coast, including Hurricane Florence and Hurricane Harvey. Discover the mathematical models, coupling algorithms, and software tools used in compound flood modeling. Gain insights into new approaches like Deep Recurrent Neural Networks for watershed modeling and dynamic coupling of LSTM runoff models with ADCIRC. Understand the complexities of integrating multiple flood factors to improve coastal flood predictions and management strategies.

Acknowledgement
Background: Hurricanes and severe storms
Background: Compound flooding
Background: Model coupling
Mathematical models
Hurricane Harvey ADCIRC Simulation (No rainfall)
Hurricane Harvey test case on Neches watershed
Hurricane Harvey ADCIRC Simulations
Water Coupler: Software for dynamic coupling
Coupling algorithm
Application: Hurricane Harvey over Brays Bayou
Deep Recurrent Neural Networks for Watershed Modeling
Dynamic coupling of LSTM Runoff model with ADCIRC
New Model Development