Model:Auto marsh

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Auto marsh

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as auto_marsh Model type Single Model part of larger framework Note on status model Date note status model Incorporated models or components: Spatial dimensions 2D Spatial extent Landscape-Scale, Watershed-Scale Model domain 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, Name Nicoletta 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 Name Sergio 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 Code development status When did you indicate the 'code development status'? Model availability As code, As teaching tool Source code availability (Or provide future intension) Source web address 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 not possible BMI compliant No not possible WMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property. PyMT component Is this a data component Can be coupled with:

Model info Authors Nicoletta Leonardi Fagherazzi Source code Go to external source code site Model citations Nr. of publications: 2 Total citations: 130 h-index: 2 m-quotient: 0.17 QR-code Link to this page Other models by author Auto marsh

References

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.