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Cited article:

Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models

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Water Research 252 121202 (2024)
https://doi.org/10.1016/j.watres.2024.121202

Mapping Dependence between Extreme Skew-Surge, Rainfall, and River-Flow

Scott A. Stephens and Wenyan Wu
Journal of Marine Science and Engineering 10 (12) 1818 (2022)
https://doi.org/10.3390/jmse10121818

A Hybrid Framework for Rapidly Locating Transition Zones: A Comparison of Event‐ and Response‐Based Return Water Levels in the Suwannee River FL

R. A. Jane, V. Malagón‐Santos, M. M. Rashid, L. Doebele, T. Wahl, S. R. Timmers, K. A. Serafin, L. Schmied and C. Lindemer
Water Resources Research 58 (11) (2022)
https://doi.org/10.1029/2022WR032481

Upskilling Low‐Fidelity Hydrodynamic Models of Flood Inundation Through Spatial Analysis and Gaussian Process Learning

Niels Fraehr, Quan J. Wang, Wenyan Wu and Rory Nathan
Water Resources Research 58 (8) (2022)
https://doi.org/10.1029/2022WR032248

A generic and practical wave overtopping model that includes uncertainty

Tim Pullen, Ye Liu, Pedro Otinar Morillas, et al.
Proceedings of the Institution of Civil Engineers - Maritime Engineering 171 (3) 109 (2018)
https://doi.org/10.1680/jmaen.2017.31