Iterative integration of deep learning in hybrid Earth surface system modelling

M Chen, Z Qian, N Boers, AJ Jakeman… - Nature Reviews Earth & …, 2023 - nature.com
Earth system modelling (ESM) is essential for understanding past, present and future Earth
processes. Deep learning (DL), with the data-driven strength of neural networks, has …

Earth observations for monitoring marine coastal hazards and their drivers

A Melet, P Teatini, G Le Cozannet, C Jamet… - Surveys in …, 2020 - Springer
Coastal zones have large social, economic and environmental values. They are more
densely populated than the hinterland and concentrate large economic assets, critical …

Sediment load prediction in Johor river: deep learning versus machine learning models

SD Latif, KL Chong, AN Ahmed, YF Huang… - Applied Water …, 2023 - Springer
Sediment transport is a normal phenomenon in rivers and streams, contributing significantly
to ecosystem production and preservation by replenishing vital nutrients and preserving …

Mechanistic modeling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change

Z Hu, BW Borsje, J van Belzen… - Geophysical …, 2021 - Wiley Online Library
While many studies focus on the persistence of coastal wetlands under climate change,
similar predictions are lacking for new wetland establishment, despite being critical to …

The future of coastal and estuarine modeling: Findings from a workshop

OB Fringer, CN Dawson, R He, DK Ralston, YJ Zhang - Ocean modelling, 2019 - Elsevier
This paper summarizes the findings of a workshop convened in the United States in 2018 to
discuss methods in coastal and estuarine modeling and to propose key areas of research …

Blind testing of shoreline evolution models

J Montaño, G Coco, JAA Antolínez, T Beuzen… - Scientific reports, 2020 - nature.com
Beaches around the world continuously adjust to daily and seasonal changes in wave and
tide conditions, which are themselves changing over longer time-scales. Different …

On the prediction of runup, setup and swash on beaches

PG da Silva, G Coco, R Garnier, AHF Klein - Earth-Science Reviews, 2020 - Elsevier
Wave runup is one of the most critical parameters contributing to coastline flooding and
shoreline change. Many formulas have been developed to empirically predict wave runup …

State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering

H Liu, H Su, L Sun, D Dias-da-Costa - Artificial Intelligence Review, 2024 - Springer
Significant uncertainties can be found in the modelling of geotechnical materials. This can
be attributed to the complex behaviour of soils and rocks amidst construction processes …

Climate change and coastal morphodynamics: Interactions on regional scales

P Chowdhury, NKG Lakku, S Lincoln, JK Seelam… - Science of the Total …, 2023 - Elsevier
Climate change and its impacts, combined with unchecked human activities, intensify
pressures on coastal environments, resulting in modification of the coastal morphodynamics …

Decision support tools, systems and indices for sustainable coastal planning and management: A review

M Barzehkar, KE Parnell, T Soomere… - Ocean & Coastal …, 2021 - Elsevier
Coasts worldwide are facing enormous challenges relating to extreme water levels,
inundation and coastal erosion. These challenges need to be addressed with consideration …