# Property:Additional comments model

From CSDMS

This is a property of type Text.

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Mariotti, G., W.S. Kearney, S. Fagherazzi, (2016), Soil creep in salt marshes, Geology, 44 (6), 459-462. +

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Method is also available as part of the Freeware SedLog package - see http://www.sedlog.com/ +

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Model described in:
G. Mariotti, and J. Carr, (2014), Dual role of salt marsh retreat: Long-term loss and short-term resilience, WRR, DOI: 10.1002/2013WR014676.
The source code reproduce figure 2 of this paper. +

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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. +

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Model requires the use of the FFTW discrete Fourier transform subroutine library. Users should independently download this library, which is available at: http://www.fftw.org +

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Model was initially developed to interpolate between analogue experiments and landscape evolution done at the Utrecht University by George Postma and coworkers. +

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NOTICE: REGISTRATION IS NEEDED TO RECEIVE THE SOURCE CODE:
http://chinacat.coastal.udel.edu/programs/funwave/funwave.html +

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NOTICE: REGISTRATION IS NEEDED TO RECEIVE THE SOURCE CODE:
http://www.hydro.washington.edu/Lettenmaier/Models/DHSVM/index.shtml +

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NOTICE: REGISTRATION IS NEEDED TO RECEIVE THE SOURCE CODE, SEND THE OWNER A LETTER THAT YOU ARE INTERESTED IN THE SOURCE CODE:
http://www.cesm.ucar.edu/models/ccsm4.0/ +

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NOTICE: code is free available through CCSM UCAR website:
http://www.ccsm.ucar.edu/models/atm-cam/
No need to register +

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Notice: Code is freely available through the following site:
http://mitgcm.org/
No need to register +

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Notice: SWAN can be freely downloaded from the next site:
https://sourceforge.net/projects/swanmodel/files/swan/
No registration is needed. +

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Particulates model is regression-based, while dissolved model is more conceptual-mechanistic. Conceptual framework and data sets in development since 2002. Integrated modeling code framework (GNE) developed in 2007; currently tested on Windows only, but can be easily adapted to other platforms. +

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Please send any questions or comments to mark.piper@colorado.edu or csdmssupport@colorado.edu. +

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Questions which arise about the module, the model it implements, and the associated theory, may be addressed by the preprint available at https://arxiv.org/abs/1801.02810. +

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RCPWAVE is distributed as a component of the Coastal Engineering Design and Analysis System (CEDAS).
http://chl.erdc.usace.army.mil/cedas +

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Requirements
To run these codes, you will need the following software:
• Python 2.7 or earlier (not compatible with Python 3)
The following Python packages are also required:
• matplotlib
• scipy
• numpy
• cPickle
• osgeo
• fiona
• shapely
• utilities
• sklearn
• seaborn
• clusterpy
• itertools
• pandas
• pysal
• collections
What input is required?
To run this code, the following shape files are required:
• network shapefile, containing the river network extracted from satellite imagery
• island shapefile, containing the land masses or islands of the delta
• patch shapefile, containing the outline of channels
What does the code do?
The file all.ipynb contains codes run the analysis. From start to finish, the Jupyter Notebook contains code blocks that:
• loads in the shapefiles
• calculate the parameters for the network that both surround and drain the islands
• calculate the base metrics (e.g. perimeter, area, solidity, aspect ratio...)
• calculates maximum distance from the island center to the nearest water body
• estimates minimum, average and maximum widths of all network channels
• evaluates the fractal dimension of each delta island
• creates shapefiles based on the metrics calculated earlier in the code
• saves all metrics to an output file
• generates PCA and GeoSOM results from the island and channel metrics
• plots the U-matrix and dendrogram based on the GeoSOM results +

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Run this model via MATLAB +

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