The use of a morphological acceleration factor in the simulation of large-scale fluvial morphodynamics

Morgan, Jacob A.; Kumar, Nirnimesh; Horner‐Devine, Alexander R.; Ahrendt, S.; Istanbullouglu, Erkan; Bandaragoda, C.

doi:10.1016/j.geomorph.2020.107088

Cited by 19 publications

(12 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As widely adopted in long‐term simulations (Coco et al., 2013; Roelvink, 2006), a morphological factor is used to speed up the morphodynamic evolution. In particular, following previous works on the morphodynamics of fluvial and estuarine environments (e.g., George et al., 2012; Morgan et al., 2020), the morphological factor is varied during a simulation, adapting its value to the overall rate of bed variation. After each simulated tidal cycle, the elevation of each computational grid point is first updated through Equation and then multiplied by the morphological factor.…”

Section: Methodsmentioning

confidence: 99%

Intertwined Eco‐Morphodynamic Evolution of Salt Marshes and Emerging Tidal Channel Networks

Geng

D’Alpaos

Sgarabotto

et al. 2021

Water Resources Research

View full text Add to dashboard Cite

Tidal flats and salt marshes connect the land and the ocean by mediating the exchange of water, sediments, and nutrients within coastal landscapes (FitzGerald & Hughes, 2019;Mitsch & Gosselink, 2000;Zedler & Kercher, 2005). Salt marshes are typically covered by halophytic vegetation. They occupy elevations higher than mean sea level (MSL) and are periodically inundated by the tide (Allen, 2000;Friedrichs & Perry, 2001). Conversely, tidal flats lie below mean sea level and hence, are intermittently exposed during low tides (Zhou et al., 2016). They do not host halophytic vegetation, but can be covered by microbial biofilms or colonized by sea grasses, which contribute to stabilize the sediment bed (Chen et al., 2017;Yallop et al., 1994).Depending on the rate of relative sea level rise (RSLR) and sediment availability, tidal flats can evolve into salt marshes and vice versa (Fagherazzi et al., 2006;Marani et al., 2007;Zhou et al., 2016). As the elevation of the intertidal platform increases within the tidal frame, flow conditions become suitable for the settlement of vegetation seeds. The bare surface of tidal flats is thus progressively encroached by vegetation patches, and eventually a salt marsh forms, as a result of the interaction of physical and biological processes (Bouma et al., 2014;Hu et al., 2015). On the contrary, a salt marsh can experience a transition into a tidal

show abstract

Section: Methodsmentioning

confidence: 99%

Intertwined Eco‐Morphodynamic Evolution of Salt Marshes and Emerging Tidal Channel Networks

Geng

D’Alpaos

Sgarabotto

et al. 2021

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…Numerical simulations of long-term morphological change can be computationally demanding if done by brute force (e.g., Safak et al 2017), so methods have been developed to speed up morphodynamical models (Lesser et al 2004, Roelvink 2006, Ranasinghe et al 2011, Roelvink & Reniers 2012, Luijendijk et al 2019, Morgan et al 2020) using a combination of two approaches: input reduction (or input schematization; e.g., Walstra et al 2013, Luijendijk et al 2019) and morphological acceleration (Lesser et al 2004, Roelvink 2006, Ranasinghe et al 2011. Input reduction seeks to force the model using representative conditions (e.g., the average wave height) or only the conditions that effect morphodynamic change (e.g., waves greater than some threshold).…”

Section: Morphological Accelerationmentioning

confidence: 99%

Modeling the Morphodynamics of Coastal Responses to Extreme Events: What Shape Are We In?

Sherwood

Dongeren

Doyle

et al. 2022

Annu. Rev. Mar. Sci.

View full text Add to dashboard Cite

This review focuses on recent advances in process-based numerical models of the impact of extreme storms on sandy coasts. Driven by larger-scale models of meteorology and hydrodynamics, these models simulate morphodynamics across the Sallenger storm-impact scale, including swash, collision, overwash, and inundation. Models are becoming both wider (as more processes are added) and deeper (as detailed physics replaces earlier parameterizations). Algorithms for wave-induced flows and sediment transport under shoaling waves are among the recent developments. Community and open-source models have become the norm. Observations of initial conditions (topography, land cover, and sediment characteristics) have become more detailed, and improvements in tropical cyclone and wave models provide forcing (winds, waves, surge, and upland flow) that is better resolved and more accurate, yielding commensurate improvements in model skill. We foresee that future storm-impact models will increasingly resolve individual waves, apply data assimilation, and be used in ensemble modeling modes to predict uncertainties. Expected final online publication date for the Annual Review of Marine Science, Volume 14 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

show abstract

“…Although it may be possible to define rigorous links between numerical and small‐scale physical depositional systems (e.g. flume experiments), when modelling stratigraphic‐scale variations it is generally computationally desirable to further shorten morphological evolution timescales of predicted depositional bodies by applying a morphological acceleration factor (Lesser, 2009; Morgan et al, 2020; Roelvink, 2006). In such models it is common to infer links between numerical and physical systems by general references to the balance between competing sediment‐transport processes and relative formation times of different scale depositional bodies (e.g.…”

Section: Wave‐dominated Delta Depositional Modelmentioning

confidence: 99%

Sharp‐based shoreface successions reconsidered in three‐dimensions: A forward stratigraphic modelling perspective

Willis

Sun

Ainsworth

2022

The Depositional Record

View full text Add to dashboard Cite

Sea-level fall is commonly inferred to generate a sharp-based shoreface succession that displays an abrupt vertical transition from heterolithic, lower shoreface to sandy, upper shoreface deposits across a marine erosion surface. Threedimensional, process physics-based, coupled hydrodynamic-morphodynamic models are constructed to compare bedding architecture and facies patterns of wave-dominated delta deposits preserved during normal (static sea level) and forced (falling sea level) regression and then transgression during subsequent sea-How to cite this article:

show abstract

The use of a morphological acceleration factor in the simulation of large-scale fluvial morphodynamics

Cited by 19 publications

References 34 publications

Intertwined Eco‐Morphodynamic Evolution of Salt Marshes and Emerging Tidal Channel Networks

Intertwined Eco‐Morphodynamic Evolution of Salt Marshes and Emerging Tidal Channel Networks

Modeling the Morphodynamics of Coastal Responses to Extreme Events: What Shape Are We In?

Sharp‐based shoreface successions reconsidered in three‐dimensions: A forward stratigraphic modelling perspective

Contact Info

Product

Resources

About