Articles | Volume 2, issue 1
https://doi.org/10.5194/esurf-2-67-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/esurf-2-67-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Data-driven components in a model of inner-shelf sorted bedforms: a new hybrid model
E. B. Goldstein
Division of Earth and Ocean Sciences, Nicholas School of the Environment, Center for Nonlinear and Complex Systems, Duke University, P.O. Box 90227, Durham, NC 27708, USA
Environmental Hydraulics Institute, "IH Cantabria", c/Isabel Torres no. 15, Universidad de Cantabria, 39011 Santander, Spain
A. B. Murray
Division of Earth and Ocean Sciences, Nicholas School of the Environment, Center for Nonlinear and Complex Systems, Duke University, P.O. Box 90227, Durham, NC 27708, USA
M. O. Green
National Institute of Water and Atmospheric Research (NIWA), P.O. Box 11-115, Hamilton, New Zealand
Related authors
No articles found.
Eduardo Gomez-de la Peña, Giovanni Coco, Colin Whittaker, and Jennifer Montaño
Earth Surf. Dynam., 11, 1145–1160, https://doi.org/10.5194/esurf-11-1145-2023, https://doi.org/10.5194/esurf-11-1145-2023, 2023
Short summary
Short summary
Predicting how shorelines change over time is a major challenge in coastal research. We here have turned to deep learning (DL), a data-driven modelling approach, to predict the movement of shorelines using observations from a camera system in New Zealand. The DL models here implemented succeeded in capturing the variability and distribution of the observed shoreline data. Overall, these findings indicate that DL has the potential to enhance the accuracy of current shoreline change predictions.
Wagner L. L. Costa, Karin R. Bryan, and Giovanni Coco
Nat. Hazards Earth Syst. Sci., 23, 3125–3146, https://doi.org/10.5194/nhess-23-3125-2023, https://doi.org/10.5194/nhess-23-3125-2023, 2023
Short summary
Short summary
For predicting flooding events at the coast, topo-bathymetric data are essential. However, elevation data can be unavailable. To tackle this issue, recent efforts have centred on the use of satellite-derived topography (SDT) and bathymetry (SDB). This work is aimed at evaluating their accuracy and use for flooding prediction in enclosed estuaries. Results show that the use of SDT and SDB in numerical modelling can produce similar predictions when compared to the surveyed elevation data.
Charline Dalinghaus, Giovanni Coco, and Pablo Higuera
Nat. Hazards Earth Syst. Sci., 23, 2157–2169, https://doi.org/10.5194/nhess-23-2157-2023, https://doi.org/10.5194/nhess-23-2157-2023, 2023
Short summary
Short summary
Wave setup is a critical component of coastal flooding. Consequently, understanding and being able to predict wave setup is vital to protect coastal resources and the population living near the shore. Here, we applied machine learning to improve the accuracy of present predictors of wave setup. The results show that the new predictors outperform existing formulas demonstrating the capability of machine learning models to provide a physically sound description of wave setup.
Yizhang Wei, Yining Chen, Jufei Qiu, Zeng Zhou, Peng Yao, Qin Jiang, Zheng Gong, Giovanni Coco, Ian Townend, and Changkuan Zhang
Earth Surf. Dynam., 10, 65–80, https://doi.org/10.5194/esurf-10-65-2022, https://doi.org/10.5194/esurf-10-65-2022, 2022
Short summary
Short summary
The barrier tidal basin is increasingly altered by human activity and sea-level rise. These environmental changes probably lead to the emergence or disappearance of islands, yet the effect of rocky islands on the evolution of tidal basins remains poorly investigated. Using numerical experiments, we explore the evolution of tidal basins under varying numbers and locations of islands. This work provides insights for predicting the response of barrier tidal basins in a changing environment.
Giovanni Coco, Daniel Calvete, Francesca Ribas, Huib E. de Swart, and Albert Falqués
Earth Surf. Dynam., 8, 323–334, https://doi.org/10.5194/esurf-8-323-2020, https://doi.org/10.5194/esurf-8-323-2020, 2020
Short summary
Short summary
Sandbars are ubiquitous features of the surf zone. They are rarely straight and often develop crescentic shapes. Double sandbar systems are also common, but the possibility of feedback between inner and outer sandbars has not been fully explored. The presence of double sandbar systems affects wave transformation and can result in a variety of spatial patterns. Here we model the conditions, waves and initial bathymetry that lead to the emergence of different patterns.
Marinella Passarella, Evan B. Goldstein, Sandro De Muro, and Giovanni Coco
Nat. Hazards Earth Syst. Sci., 18, 599–611, https://doi.org/10.5194/nhess-18-599-2018, https://doi.org/10.5194/nhess-18-599-2018, 2018
Sarik Salim, Charitha Pattiaratchi, Rafael Tinoco, Giovanni Coco, Yasha Hetzel, Sarath Wijeratne, and Ravindra Jayaratne
Earth Surf. Dynam., 5, 399–415, https://doi.org/10.5194/esurf-5-399-2017, https://doi.org/10.5194/esurf-5-399-2017, 2017
Short summary
Short summary
The aim of this paper was to verify the existence of a mean critical velocity concept in terms of turbulent bursting phenomena. Laboratory experiments were undertaken in a unidirectional current flume where an acoustic Doppler velocimeter was used. Results in the laboratory conditions both above and below the measured mean critical velocity highlighted the need to re-evaluate the accuracy of a single time-averaged critical velocity for the initiation of sediment entrainment.
Christopher W. Thomas, A. Brad Murray, Andrew D. Ashton, Martin D. Hurst, Andrew K. A. P. Barkwith, and Michael A. Ellis
Earth Surf. Dynam., 4, 871–884, https://doi.org/10.5194/esurf-4-871-2016, https://doi.org/10.5194/esurf-4-871-2016, 2016
Short summary
Short summary
Complex sandy coastlines, such as capes and spits, are important socio-economically while underpinning and protecting important natural habitats. Although they may protect inshore areas, they are inherently fragile and susceptible to erosion. We have explored how spits and capes might adapt to changing wave climate through modelling. We find that coastlines may not be in equilibrium with current conditions, and past shapes may strongly influence those adapting to new wave climates.
A. Barkwith, C. W. Thomas, P. W. Limber, M. A. Ellis, and A. B. Murray
Earth Surf. Dynam., 2, 295–308, https://doi.org/10.5194/esurf-2-295-2014, https://doi.org/10.5194/esurf-2-295-2014, 2014
A. Barkwith, M. D. Hurst, C. W. Thomas, M. A. Ellis, P. L. Limber, and A. B. Murray
Earth Surf. Dynam., 2, 233–242, https://doi.org/10.5194/esurf-2-233-2014, https://doi.org/10.5194/esurf-2-233-2014, 2014
M. Jiménez, S. Castanedo, Z. Zhou, G. Coco, R. Medina, and I. Rodriguez-Iturbe
Adv. Geosci., 39, 69–73, https://doi.org/10.5194/adgeo-39-69-2014, https://doi.org/10.5194/adgeo-39-69-2014, 2014
Z. Zhou, L. Stefanon, M. Olabarrieta, A. D'Alpaos, L. Carniello, and G. Coco
Earth Surf. Dynam., 2, 105–116, https://doi.org/10.5194/esurf-2-105-2014, https://doi.org/10.5194/esurf-2-105-2014, 2014
R. O. Tinoco and G. Coco
Earth Surf. Dynam., 2, 83–96, https://doi.org/10.5194/esurf-2-83-2014, https://doi.org/10.5194/esurf-2-83-2014, 2014
Related subject area
Cross-cutting themes: Complex systems in Earth surface processes: nonlinear system dynamics and chaos, self-organisation, self-organised criticality
MPeat2D – a fully coupled mechanical–ecohydrological model of peatland development in two dimensions
The direction of landscape erosion
Impacts of grazing on vegetation dynamics in a sediment transport complex model
Adilan W. Mahdiyasa, David J. Large, Matteo Icardi, and Bagus P. Muljadi
Earth Surf. Dynam., 12, 929–952, https://doi.org/10.5194/esurf-12-929-2024, https://doi.org/10.5194/esurf-12-929-2024, 2024
Short summary
Short summary
Mathematical models provide insight to analyse peatland behaviour. However, the omission of mechanical processes by the existing models leads to uncertainties in their outputs. We proposed a peatland growth model in 2D that incorporates mechanical, ecological, and hydrological factors, together with the effect of spatial heterogeneity on the peatland system. Our model might assist in understanding the complex interactions and the impact of climate change on the peatland carbon balance.
Colin P. Stark and Gavin J. Stark
Earth Surf. Dynam., 10, 383–419, https://doi.org/10.5194/esurf-10-383-2022, https://doi.org/10.5194/esurf-10-383-2022, 2022
Short summary
Short summary
Landscape erosion is generally considered to take place vertically downward. Here, by writing gradient-driven erosion in Hamiltonian form, we show this is not true. Instead, we find it takes place in two directions simultaneously: (i) normal to the surface and (ii) along rays pointing upstream and either up or down depending on how erosion rate scales with slope. The rays follow the shortest time paths that determine how long it takes for a landscape to respond to changes in external conditions.
Phillipe Gauvin-Bourdon, James King, and Liliana Perez
Earth Surf. Dynam., 9, 29–45, https://doi.org/10.5194/esurf-9-29-2021, https://doi.org/10.5194/esurf-9-29-2021, 2021
Short summary
Short summary
Arid ecosystem health is a complex interaction between vegetation and climate. Coupled with impacts from grazing, it can result in quick changes in vegetation cover. We present a wind erosion and vegetation health model with active grazers over 100-year tests to find the limits of arid environments for different levels of vegetation, rainfall, wind speed, and grazing. The model shows the resilience of grass landscapes to grazing and its role as an improved tool for managing arid landscapes.
Special issue