Model:Auto marsh

From CSDMS

Auto marsh



Metadata

Also known as auto_marsh
Model type Single
Incorporated models or components:
Spatial dimensions 2D
Spatial extent Landscape-Scale, Watershed-Scale
Model domain Coastal
One-line model description Cellula automata model for salt marsh evolution with variable soil resistance under wind waves attack
Extended model description The model reproduce the effect of a variability in soil resistance on salt marsh erosion by wind waves.

The model consists of a two-dimensional square lattice whose elements, i, have randomly distributed resistance, r_i. The critical soil height H_ci for boundary stability is calculated from soil shear strength values and is assumed as representative of soil resistance, as it is a convenient way to take into account general soil and ambient conditions. The erosion rate of each cell, E_i, which represents the erosion of an homogeneous marsh portion, is defined as: E_i=〖αP〗^β exp (-H_ci/H) Where α and β are non-dimensional constants set equal to 0.35 and 1.1 respectively, P is the wave power, and H is the mean wave height. The model follows three rules: i) only neighbors of previously eroded cells can be eroded. Therefore, only cells having at least one side in common with previously eroded elements are susceptible to erosion; ii) at every time step one element is eroded at random with probability p_i=E_i/(∑E_i ); iii) A cell is removed from the domain if it remains isolated from the rest of the boundary (no neighbors).

Keywords:

salt marsh, cellula automata, wind waves, extreme events, ecogemorphology,


First name Nicoletta
Last name Leonardi
Type of contact Model developer
Institute / Organization Boston University
Postal address 1
Postal address 2
Town / City Boston
Postal code 02215
State Massachusetts
Country United States
Email address nicleona@bu.edu
Phone
Fax


First name Sergio
Last name Fagherazzi
Type of contact Project manager
Institute / Organization Boston University
Postal address 1
Postal address 2
Town / City Boston
Postal code
State Massachusetts
Country United States
Email address
Phone
Fax


Supported platforms Unix, Linux, Mac OS, Windows
Other platform
Programming language Matlab
Other program language
Code optimized Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development
Does model development still take place? No
If above answer is no, provide end year model development
Model availability As code, As teaching tool
Source code availability
(Or provide future intension)
Through web repository
Source web address https://github.com/csdms-contrib/Auto_marsh
Source csdms web address
Program license type GPL v3
Program license type other
Memory requirements
Typical run time


Describe input parameters wind waves,

soil resistance / shear strength

Input format ASCII
Other input format
Describe output parameters salt marsh erosion rate,

shape of marsh boundary, erosion time, magnitude of erosion events frequency occurrence erosion events of a given magnitude

Output format ASCII
Other output format
Pre-processing software needed? No
Describe pre-processing software
Post-processing software needed? No
Describe post-processing software
Visualization software needed? No
If above answer is yes
Other visualization software


Describe processes represented by the model Salt marsh erosion by wind waves.

The presence of natural heterogeneities is an integral characteristic of salt marshes and needs to be account for, as local feedbacks could influence the large scale morphodynamic evolution of these wetlands. Herein, we use field data and a cellular automata model to investigate salt marsh response to wave action under different wave energy conditions and frequency of extreme events.

Describe key physical parameters and equations
Describe length scale and resolution constraints
Describe time scale and resolution constraints
Describe any numerical limitations and issues


Describe available calibration data sets Model description and calibration can be found in:

Leonardi, N., and S. Fagherazzi (2014), How waves shape salt marshes, Geology , doi:10.1130/G35751.1.

Leonardi, N., and S. Fagherazzi (2015), Local variability in erosional resistance affects large scale morphodynamic response of salt marshes to wind waves, Geophysical Research Letters, 2015GL064730, doi:10.1002/2015GL064730.

Upload calibration data sets if available:
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing


Do you have current or future plans for collaborating with other researchers?
Is there a manual available? No
Upload manual if available:
Model website if any
Model forum / discussion board
Comments Model description and calibration can be found in:

Leonardi, N., and S. Fagherazzi (2014), How waves shape salt marshes, Geology , doi:10.1130/G35751.1.

Leonardi, N., and S. Fagherazzi (2015), Local variability in erosional resistance affects large scale morphodynamic response of salt marshes to wind waves, Geophysical Research Letters, 2015GL064730, doi:10.1002/2015GL064730.


This part will be filled out by CSDMS staff

OpenMI compliant No but possible
BMI compliant No but possible
WMT component No but possible
Can be coupled with:
Model info
Citation indices Auto marsh
Citations: 13
h-index: 2

link=http://csdms.colorado.edu/mediawiki/images/Qrcode_Auto marsh.png
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Introduction

History

References




Citation indices Auto marsh
Citations: 13
h-index: 2


Publication(s)YearModel describedType of ReferenceCitations
--. How waves shape salt marshes. Geology, 42, 887–890. 10.1130/g35751.1
(View/edit entry)
--Auto marsh
Model overview 10
2015. Effect of local variability in erosional resistance on large-scale morphodynamic response of salt marshes to wind waves and extreme events. Geophysical Research Letters, 42, 2015GL064730. 10.1002/2015GL064730
(View/edit entry)
2015Auto marsh

Model overview

3
== Issues ==

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Input Files

Output Files