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Blind testing of shoreline evolution models

Scientific reports, 2020-02, Vol.10 (1), p.2137, Article 2137

2020

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A review of machine learning applications to coastal sediment transport and morphodynamics

Earth-science reviews, 2019-07, Vol.194, p.97-108

2019

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Probabilistic prediction of barrier-island response to hurricanes

Journal of Geophysical Research: Earth Surface, 2012-09, Vol.117 (F3), p.n/a

2012

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Changes in erosion and flooding risk due to long-term and cyclic oceanographic trends

Geophysical research letters, 2015-04, Vol.42 (8), p.2943-2950

2015

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A Bayesian network to predict coastal vulnerability to sea level rise

Journal of Geophysical Research: Earth Surface, 2011-06, Vol.116 (F2), p.n/a

2011

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Extended Kalman Filter framework for forecasting shoreline evolution

Geophysical research letters, 2012-07, Vol.39 (13), p.np-n/a

2012

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Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat

PloS one, 2019-07, Vol.14 (7), p.e0209986-e0209986

2019

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Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood

Nature climate change, 2016-07, Vol.6 (7), p.696-700

2016

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Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (18), p.3779

2021

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cBathy: A robust algorithm for estimating nearshore bathymetry

Journal of geophysical research. Oceans, 2013-05, Vol.118 (5), p.2595-2609

2013

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A cross-validation package driving Netica with python

Environmental modelling & software : with environment data news, 2015-01, Vol.63, p.14-23

2015

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The Roles of Storminess and Sea Level Rise in Decadal Barrier Island Evolution

Geophysical research letters, 2020-09, Vol.47 (18), p.n/a

2020

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Prediction and assimilation of surf-zone processes using a Bayesian network Part I: Forward models

Coastal engineering (Amsterdam), 2011, Vol.58 (1), p.119-130

2011

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Decoupling processes and scales of shoreline morphodynamics

Marine geology, 2016-11, Vol.381, p.42-53

2016

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Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise

Climatic change, 2018-08, Vol.149 (3-4), p.413-425

2018

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Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast

Landscape ecology, 2021, Vol.36 (1), p.223-241

2021

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Bridging groundwater models and decision support with a Bayesian network

Water resources research, 2013-10, Vol.49 (10), p.6459-6473

2013

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Probabilistic assessment of erosion and flooding risk in the northern Gulf of Mexico

Journal of geophysical research. Oceans, 2016-05, Vol.121 (5), p.3029-3043

2016

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Tidal hydrodynamics under future sea level rise and coastal morphology in the Northern Gulf of Mexico

Earth's future, 2016-05, Vol.4 (5), p.159-176

2016

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Predicting surf zone injuries along the Delaware coast using a Bayesian network

Natural hazards (Dordrecht), 2019-09, Vol.98 (2), p.379-401

2019

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A behavior-oriented dynamic model for sandbar migration and 2DH evolution

Journal of Geophysical Research, 2011-01, Vol.116 (C1), p.n/a, Article C01020

2011

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Piping plovers demonstrate regional differences in nesting habitat selection patterns along the U.S. Atlantic coast

Ecosphere (Washington, D.C), 2021-03, Vol.12 (3), p.n/a

2021

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How well can wave runup be predicted? Comment on Laudier et al. (2011) and Stockdon et al. (2006)

Coastal engineering (Amsterdam), 2015-08, Vol.102, p.44-48

2015

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Correction to: Predicting surf zone injuries along the Delaware coast using a Bayesian network

Natural hazards (Dordrecht), 2019-09, Vol.98 (2), p.403-403

2019

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Scaling coastal dune elevation changes across storm-impact regimes

Geophysical research letters, 2014-04, Vol.41 (8), p.2899-2906

2014

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Blind testing of shoreline evolution models

A review of machine learning applications to coastal sediment transport and morphodynamics

Probabilistic prediction of barrier-island response to hurricanes

Changes in erosion and flooding risk due to long-term and cyclic oceanographic trends

A Bayesian network to predict coastal vulnerability to sea level rise

Extended Kalman Filter framework for forecasting shoreline evolution

Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat

Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood

Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana

cBathy: A robust algorithm for estimating nearshore bathymetry

A cross-validation package driving Netica with python

The Roles of Storminess and Sea Level Rise in Decadal Barrier Island Evolution

Prediction and assimilation of surf-zone processes using a Bayesian network Part I: Forward models

Decoupling processes and scales of shoreline morphodynamics

Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise

Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast

Bridging groundwater models and decision support with a Bayesian network

Probabilistic assessment of erosion and flooding risk in the northern Gulf of Mexico

Tidal hydrodynamics under future sea level rise and coastal morphology in the Northern Gulf of Mexico

Predicting surf zone injuries along the Delaware coast using a Bayesian network

A behavior-oriented dynamic model for sandbar migration and 2DH evolution

Piping plovers demonstrate regional differences in nesting habitat selection patterns along the U.S. Atlantic coast

How well can wave runup be predicted? Comment on Laudier et al. (2011) and Stockdon et al. (2006)

Correction to: Predicting surf zone injuries along the Delaware coast using a Bayesian network

Scaling coastal dune elevation changes across storm-impact regimes

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