CSDMS - User contributions [en]

Model:Auto marsh

2015-07-17T15:32:49Z

Nicleona: /* References */

{{Model identity
|Model also known as=auto_marsh
|Model type=Single
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|Categories=Coastal
|Spatial dimensions=2D
|Spatialscale=Landscape-Scale, Watershed-Scale
|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).
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=salt marsh
}}
{{Model keywords
|Model keywords=cellula automata
}}
{{Model keywords
|Model keywords=wind waves
}}
{{Model keywords
|Model keywords=extreme events
}}
{{Model keywords
|Model keywords=ecogemorphology
}}
{{End a table}}
{{Modeler information
|First name=Nicoletta
|Last name=Leonardi
|Type of contact=Model developer
|Institute / Organization=Boston University
|Town / City=Boston
|Postal code=02215
|Country=United States
|State=Massachusetts
|Email address=nicleona@bu.edu
}}
{{Additional modeler information
|Additional first name=Sergio
|Additional last name=Fagherazzi
|Additional type of contact=Project manager
|Additional institute / Organization=Boston University
|Additional town / City=Boston
|Additional country=United States
|Additional state=Massachusetts
}}
{{Model technical information
|Supported platforms=Unix, Linux, Mac OS, Windows
|Programming language=Matlab
|Code optimized=Single Processor
|Does model development still take place?=No
|Model availability=As code, As teaching tool
|Program license type=GPL v3
}}
{{Input - Output description
|Describe input parameters=wind waves,
soil resistance / shear strength
|Input format=ASCII
|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
|Pre-processing software needed?=No
|Post-processing software needed?=No
|Visualization software needed?=No
}}
{{Process description model
|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.
}}
{{Model testing
|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.
}}
{{Users groups model}}
{{Documentation model
|Manual model available=No
}}
{{Additional comments model
|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.
}}
{{CSDMS staff part
|OpenMI compliant=No not possible
|IRF interface=No not possible
|CMT component=Not yet
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}

{{#ifexist:Template:{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats | ==Download statistics==
{{{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats}} | }}

==Introduction==

== History ==

== 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.

== Issues ==

== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}

== Input Files ==

== Output Files ==

Model:Auto marsh

2015-07-17T15:32:29Z

Nicleona: /* References */

{{Model identity
|Model also known as=auto_marsh
|Model type=Single
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|Categories=Coastal
|Spatial dimensions=2D
|Spatialscale=Landscape-Scale, Watershed-Scale
|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).
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=salt marsh
}}
{{Model keywords
|Model keywords=cellula automata
}}
{{Model keywords
|Model keywords=wind waves
}}
{{Model keywords
|Model keywords=extreme events
}}
{{Model keywords
|Model keywords=ecogemorphology
}}
{{End a table}}
{{Modeler information
|First name=Nicoletta
|Last name=Leonardi
|Type of contact=Model developer
|Institute / Organization=Boston University
|Town / City=Boston
|Postal code=02215
|Country=United States
|State=Massachusetts
|Email address=nicleona@bu.edu
}}
{{Additional modeler information
|Additional first name=Sergio
|Additional last name=Fagherazzi
|Additional type of contact=Project manager
|Additional institute / Organization=Boston University
|Additional town / City=Boston
|Additional country=United States
|Additional state=Massachusetts
}}
{{Model technical information
|Supported platforms=Unix, Linux, Mac OS, Windows
|Programming language=Matlab
|Code optimized=Single Processor
|Does model development still take place?=No
|Model availability=As code, As teaching tool
|Program license type=GPL v3
}}
{{Input - Output description
|Describe input parameters=wind waves,
soil resistance / shear strength
|Input format=ASCII
|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
|Pre-processing software needed?=No
|Post-processing software needed?=No
|Visualization software needed?=No
}}
{{Process description model
|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.
}}
{{Model testing
|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.
}}
{{Users groups model}}
{{Documentation model
|Manual model available=No
}}
{{Additional comments model
|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.
}}
{{CSDMS staff part
|OpenMI compliant=No not possible
|IRF interface=No not possible
|CMT component=Not yet
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}

{{#ifexist:Template:{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats | ==Download statistics==
{{{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats}} | }}

==Introduction==

== History ==

== 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.

== Issues ==

== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}

== Input Files ==

== Output Files ==

Model:Auto marsh

2015-07-17T15:31:53Z

Nicleona: /* References */

{{Model identity
|Model also known as=auto_marsh
|Model type=Single
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|Categories=Coastal
|Spatial dimensions=2D
|Spatialscale=Landscape-Scale, Watershed-Scale
|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).
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=salt marsh
}}
{{Model keywords
|Model keywords=cellula automata
}}
{{Model keywords
|Model keywords=wind waves
}}
{{Model keywords
|Model keywords=extreme events
}}
{{Model keywords
|Model keywords=ecogemorphology
}}
{{End a table}}
{{Modeler information
|First name=Nicoletta
|Last name=Leonardi
|Type of contact=Model developer
|Institute / Organization=Boston University
|Town / City=Boston
|Postal code=02215
|Country=United States
|State=Massachusetts
|Email address=nicleona@bu.edu
}}
{{Additional modeler information
|Additional first name=Sergio
|Additional last name=Fagherazzi
|Additional type of contact=Project manager
|Additional institute / Organization=Boston University
|Additional town / City=Boston
|Additional country=United States
|Additional state=Massachusetts
}}
{{Model technical information
|Supported platforms=Unix, Linux, Mac OS, Windows
|Programming language=Matlab
|Code optimized=Single Processor
|Does model development still take place?=No
|Model availability=As code, As teaching tool
|Program license type=GPL v3
}}
{{Input - Output description
|Describe input parameters=wind waves,
soil resistance / shear strength
|Input format=ASCII
|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
|Pre-processing software needed?=No
|Post-processing software needed?=No
|Visualization software needed?=No
}}
{{Process description model
|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.
}}
{{Model testing
|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.
}}
{{Users groups model}}
{{Documentation model
|Manual model available=No
}}
{{Additional comments model
|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.
}}
{{CSDMS staff part
|OpenMI compliant=No not possible
|IRF interface=No not possible
|CMT component=Not yet
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}

{{#ifexist:Template:{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats | ==Download statistics==
{{{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats}} | }}

==Introduction==

== History ==

== 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.}}
{{Add_model_references}}

== Issues ==

== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}

== Input Files ==

== Output Files ==

Reference:Reference-000587

2015-07-17T15:27:26Z

Nicleona: Created page with "{{CSDMS publications |Publication-citation=Leonardi, N., and S. Fagherazzi (2014), How waves shape salt marshes, Geology , doi:10.1130/G35751.1. |Publication-DOI=10.1130/G3575..."

{{CSDMS publications
|Publication-citation=Leonardi, N., and S. Fagherazzi (2014), How waves shape salt marshes, Geology , doi:10.1130/G35751.1.
|Publication-DOI=10.1130/G35751.1
|Publication-URL=http://geology.gsapubs.org/content/early/2014/08/28/G35751.1.abstract
|Publication-what-kind-of=a module overview, describing a module
|Publication-HPCC-yesno=No
|Publication-nrof-models=a single module
}}
{{Publications about a single model}}

Model:Auto marsh

2015-07-17T15:25:18Z

Nicleona: Created page with "{{Model identity |Model also known as=auto_marsh |Model type=Single }} {{Start models incorporated}} {{End a table}} {{Model identity2 |Categories=Coastal |Spatial dimensions=..."

{{Model identity
|Model also known as=auto_marsh
|Model type=Single
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|Categories=Coastal
|Spatial dimensions=2D
|Spatialscale=Landscape-Scale, Watershed-Scale
|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).
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=salt marsh
}}
{{Model keywords
|Model keywords=cellula automata
}}
{{Model keywords
|Model keywords=wind waves
}}
{{Model keywords
|Model keywords=extreme events
}}
{{Model keywords
|Model keywords=ecogemorphology
}}
{{End a table}}
{{Modeler information
|First name=Nicoletta
|Last name=Leonardi
|Type of contact=Model developer
|Institute / Organization=Boston University
|Town / City=Boston
|Postal code=02215
|Country=United States
|State=Massachusetts
|Email address=nicleona@bu.edu
}}
{{Additional modeler information
|Additional first name=Sergio
|Additional last name=Fagherazzi
|Additional type of contact=Project manager
|Additional institute / Organization=Boston University
|Additional town / City=Boston
|Additional country=United States
|Additional state=Massachusetts
}}
{{Model technical information
|Supported platforms=Unix, Linux, Mac OS, Windows
|Programming language=Matlab
|Code optimized=Single Processor
|Does model development still take place?=No
|Model availability=As code, As teaching tool
|Program license type=GPL v3
}}
{{Input - Output description
|Describe input parameters=wind waves,
soil resistance / shear strength
|Input format=ASCII
|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
|Pre-processing software needed?=No
|Post-processing software needed?=No
|Visualization software needed?=No
}}
{{Process description model
|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.
}}
{{Model testing
|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.
}}
{{Users groups model}}
{{Documentation model
|Manual model available=No
}}
{{Additional comments model
|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.
}}
{{CSDMS staff part
|OpenMI compliant=No not possible
|IRF interface=No not possible
|CMT component=Not yet
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}

{{#ifexist:Template:{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats | ==Download statistics==
{{{{#sub:{{PAGENAME}}|0|1}}{{#sub:{{lc:{{PAGENAME}}}}|1}} download stats}} | }}

==Introduction==

== History ==

== References ==
{{Add_reference_upload_button}}
{{Add_model_references}}

== Issues ==

== Help ==
{{#ifexist:Model_help:{{PAGENAME}}|[[Model_help:{{PAGENAME}}]]|}}

== Input Files ==

== Output Files ==

User:Nicleona

2015-07-10T14:44:53Z

Nicleona: Created page with "{{Signup information member |First name member=Nicoletta |Last name member=Leonardi |Institute member=boston university |Department member=Earth and Environment |City member=B..."

{{Signup information member
|First name member=Nicoletta
|Last name member=Leonardi
|Institute member=boston university
|Department member=Earth and Environment
|City member=Boston
|Country member=United States
|State member=Massachusetts
|Confirm email member=nicleona@bu.edu
|Working group member=Terrestrial Working Group, Coastal Working Group, Marine Working Group, Education and Knowledge Transfer (EKT) Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group, Carbonate Focus Research Group, Chesapeake Focus Research Group, Critical Zone Focus Research Group, Geodynamics Focus Research Group, Coastal Vulnerability Initiative, Continental Margin Initiative, Ecosystem Dynamics Focus Research Group, Human Dynamics Focus Research Group
|Emaillist group member=no
}}