A Multiscale Approach to Shoreline Prediction-Reference-Cited by-同舟云学术

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A Multiscale Approach to Shoreline Prediction

Published:2021-01-11 Issue:1 Volume:48 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Montaño Jennifer¹^ORCID,Coco Giovanni¹^ORCID,Cagigal Laura¹²^ORCID,Mendez Fernando²^ORCID,Rueda Ana²,Bryan Karin R.³,Harley Mitchell D.⁴^ORCID

Affiliation:

1. School of Environment Faculty of Science University of Auckland Auckland New Zealand

2. Departamento de Ciencias y Tecnicas del Agua y del Medio Ambiente Universidad de Cantabria Santander Spain

3. School of Science University of Waikato Hamilton New Zealand

4. Water Research Laboratory School of Civil and Environmental Engineering University of New South Wales King Street Manly Vale NSW Australia

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020GL090587

Reference54 articles.

1. A Climate Index Optimized for Longshore Sediment Transport Reveals Interannual and Multidecadal Littoral Cell Rotations

2. A multiscale climate emulator for long‐term morphodynamics (MUSCLE‐morpho)

3. Formation of coastline features by large‐scale instabilities induced by high‐angle waves;Ashton A.;Letters to Nature,2001

4. Coastal vulnerability across the Pacific dominated by El Niño/Southern Oscillation

5. Nearshore sandbar rotation at single‐barred embayed beaches

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1. Predicting Shoreline Changes Along the California Coast Using Deep Learning Applied to Satellite Observations;Journal of Geophysical Research: Machine Learning and Computation;2024-06-27

2. Assessing the compatibility of EPR rates with one-dimensional numerical modelling in monitoring shoreline kinematics along with supplying near/long-term forecasts;Regional Studies in Marine Science;2024-04

3. On the role of hydrodynamic and morphologic variables on neural network prediction of shoreline dynamics;Geomorphology;2024-04

4. On the use of convolutional deep learning to predict shoreline change;Earth Surface Dynamics;2023-11-13

5. Interannual variability in dominant shoreline behaviour at an embayed beach;Geomorphology;2023-07

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