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From CSDMS
No but possible  +
0  +
Charlottesville  +
No but possible  +
No but possible  +
Single Processor  +
United States  +
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18:04:22, 20 February 2009  +
Biomass productivity and marsh accretion rates from 1984-present, described in Morris et al. (2002).  +
A couple high resolution Pb210 curves that span ~100 years are currently being constructed and used to test model.  +
Long term, high resolution (annual to couple years) datasets of marsh accretion. Similar time series of channel characteristics would be useful.  +
Does not require any input data, but if desired, model can run from files describing sea level and/or the elevations of an existing marsh.  +
Key parameters include the rate of sea levKey parameters include the rate of sea level rise, suspended sediment concentration, tidal range (which controls vegetation distribution), critical shear stress for sediment erosion, and the period of time that erosion takes place during each tidal cycle. Parameters controlling the growth pattern of vegetation can easily be modified.tern of vegetation can easily be modified.  +
Domain size is 3 km by 3 km, grid cell is 5 m by 5m.  +
Elevation, Biomass, Accretion Rate, Erosion Rate, and other characteristics of every cell in domain. Also outputs spatially averaged statistics.  +
The model calculates changes in elevation The model calculates changes in elevation and vegetation growth for a hypothetical salt marsh. In each cell, elevation change is calculated as the difference between accretion and erosion. Accretion rates are a function of inundation depth, vegetation growth, and suspended sediment concentration. Water routed according to Rinaldo et al. (1999) scheme. Erosion rates calculated according to excess sheer stress. Channels widen according to a diffusion-like routine where downslope transport is inversely proportional to vegetation. Vegetation grows according to Morris et al. (2002) where biomass is proportional to inundation depth up until an optimum depth. Episodic vegetation disturbance is simulated by removing vegetation from randomly selected cells (Kirwan et al., 2008). Another version of the model treats wave erosion in a simplistic manner (Kirwan and Murray, 2008).mplistic manner (Kirwan and Murray, 2008).  +
The model explicitly runs on an individual tidal cycle time step, which we scale up to 2 months. But, results most meaningful at timescales greater than a couple years.  +
Spatially explicit model of the development and evolution of salt marshes, including vegetation influenced accretion and hydrodynamic determined channel erosion.  +
Matthew  +
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University of Virginia  +
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Kirwan  +
0  +
Coastal  +
coastal morphdynamics  +  and salt Marsh - tidal Flat evolution  +
Single  +
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02:14:27, 17 September 2020  +
--  +
Ecomorphoydamic model of marsh elevation and channel evolution  +
PO Box 400123  +
22904  +
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hour to days  +
Virginia  +
Model developer  +