Deep probabilistic surrogate modelling for uncertainty quantification in mangrove hydro-morphodynamics

IntroductionMangrove ecosystems are increasingly recognised as essential nature-based solutions for enhancing coastal resilience against sea-level rise and climate-induced extreme events. However, achieving robust uncertainty quantification for hydro-morphodynamic models of mangrove systems remains...

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Autors principals:	Majdi Fanous, Hannah Al Ali, Amin Hosseinian-Far, Omid Chatrabgoun, Tabassom Sedighi, Alireza Daneshkhah
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-01-01
Col·lecció:	Frontiers in Marine Science
Matèries:	deep gaussian process hydro-morphodynamic coastal ecosystems navier Stokes PDE surrogate models uncertainty quantification
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmars.2025.1624244/full
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