A Generalized Data‐Driven Shoreline Model at the Regional Scale

Abstract Shoreline models underpin long‐term coastal planning and hazard mitigation but are often limited by site‐specific calibration and simplified process representations. While machine learning (ML) approaches have recently matched or exceeded the skill of traditional models in deterministic sho...

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Bibliografiska uppgifter

Huvudupphov:	Kit Calcraft, Joshua A. Simmons, Lucy A. Marshall, Kristen D. Splinter
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Wiley 2026-02-01
Serie:	Journal of Geophysical Research: Machine Learning and Computation
Ämnen:	generalization shoreline modeling transformers regional‐scale forecasting machine learning coastal science
Länkar:	https://doi.org/10.1029/2025JH000989
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