Benchmarking shoreline prediction models over multi-decadal timescales

Abstract Robust predictions of shoreline change are critical for sustainable coastal management. Despite advancements in shoreline models, objective benchmarking remains limited. Here we present results from ShoreShop2.0, an international collaborative benchmarking workshop, where 34 groups submitte...

Full description

Saved in:

Bibliographic Details
Main Authors:	Yongjing Mao, Giovanni Coco, Sean Vitousek, Jose A. A. Antolinez, Georgios Azorakos, Masayuki Banno, Clément Bouvier, Karin R. Bryan, Laura Cagigal, Kit Calcraft, Bruno Castelle, Xinyu Chen, Maurizio D’Anna, Lucas de Freitas Pereira, Iñaki de Santiago, Aditya N. Deshmukh, Bixuan Dong, Ahmed Elghandour, Amirmahdi Gohari, Eduardo Gomez-de la Peña, Mitchell D. Harley, Michael Ibrahim, Déborah Idier, Camilo Jaramillo Cardona, Changbin Lim, Ivana Mingo, Julian O’Grady, Daniel Pais, Oxana Repina, Arthur Robinet, Dano Roelvink, Joshua Simmons, Erdinc Sogut, Katie Wilson, Kristen D. Splinter
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Series:	Communications Earth & Environment
Online Access:	https://doi.org/10.1038/s43247-025-02550-4
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Benchmarking shoreline prediction models over multi-decadal timescales

Similar Items