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EM Identity and Description

EM Identification (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
EM Short Name em.detail.shortNameHelp ?	Random wave transformation L. hyperborea field	*	*	*	*	*	*
EM Full Name em.detail.fullNameHelp ?	Random wave transformation on Laminaria hyperboria field	*	*	*	*	*	*
EM Source or Collection em.detail.emSourceOrCollectionHelp ?	None	*	*	*	*	*	*
EM Source Document ID	424	*	*	*	*	*	*
Document Author em.detail.documentAuthorHelp ?	Mendez, F. J. and I. J. Losada	*	*	*	*	*	*
Document Year em.detail.documentYearHelp ?	2004	*	*	*	*	*	*
Document Title em.detail.sourceIdHelp ?	An empirical model to estimate the propagation of random breaking and nonbreaking waves over vegetation fields	*	*	*	*	*	*
Document Status em.detail.statusCategoryHelp ?	Peer reviewed and published	*	*	*	*	*	*
Comments on Status em.detail.commentsOnStatusHelp ?	Published journal manuscript	*	*	*	*	*	*

Software and Access (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
EM Software Access info Exit em.detail.modelAccessInformationHelp ?	Not applicable	*	*	*	*	*	*
Contact Name em.detail.contactNameHelp ?	F. J. Mendez ? Comment: Tel.: +34-942-201810	* ? Comment: Tel.: +34-942-201810	* ? Comment: Tel.: +34-942-201810	* ? Comment: Tel.: +34-942-201810	* ? Comment: Tel.: +34-942-201810	* ? Comment: Tel.: +34-942-201810	* ? Comment: Tel.: +34-942-201810
Contact Address	Not reported	*	*	*	*	*	*
Contact Email	mendezf@unican.es	*	*	*	*	*	*

EM Description (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Summary Description em.detail.summaryDescriptionHelp ?	ASTRACT: "In this work, a model for wave transformation on vegetation fields is presented. The formulation includes wave damping and wave breaking over vegetation fields at variable depths. Based on a nonlinear formulation of the drag force, either the transformation of monochromatic waves or irregular waves can be modelled considering geometric and physical characteristics of the vegetation field. The model depends on a single parameter similar to the drag coefficient, which is parameterized as a function of the local Keulegan–Carpenter number for a specific type of plant. Given this parameterization, determined with laboratory experiments for each plant type, the model is able to reproduce the root-mean-square wave height transformation observed in experimental data with reasonable accuracy." AUTHOR'S DESCRIPTION: "The theoretical solution for random waves is compared to the experimental results for an artificial kelp field given by Dubi (1995). The experiment was carried out in a 33-m-long, 1-m-wide and 1.6-m-high wave flume...The artificial kelp models were L. hyperborea"	ASTRACT: "In this work, a model for wave transformation on vegetation fields is presented. The formulation includes wave damping and wave breaking over vegetation fields at variable depths. Based on a nonlinear formulation of the drag force, either the transformation of monochromatic waves or irregular waves can be modelled considering geometric and physical characteristics of the vegetation field. The model depends on a single parameter similar to the drag coefficient, which is parameterized as a function of the local Keulegan–Carpenter number for a specific type of plant. Given this parameterization, determined with laboratory experiments for each plant type, the model is able to reproduce the root-mean-square wave height transformation observed in experimental data with reasonable accuracy." AUTHOR'S DESCRIPTION: "The theoretical solution for random waves is compared to the experimental results for an artificial kelp field given by Dubi (1995). The experiment was carried out in a 33-m-long, 1-m-wide and 1.6-m-high wave flume...The artificial kelp models were L. hyperborea" "Fig. 3 shows the comparisons between the experimental data and the theoretical root-mean-square wave height described by Eq. (31) for six different runs covering the range of parameters."	ASTRACT: "In this work, a model for wave transformation on vegetation fields is presented. The formulation includes wave damping and wave breaking over vegetation fields at variable depths. Based on a nonlinear formulation of the drag force, either the transformation of monochromatic waves or irregular waves can be modelled considering geometric and physical characteristics of the vegetation field. The model depends on a single parameter similar to the drag coefficient, which is parameterized as a function of the local Keulegan–Carpenter number for a specific type of plant. Given this parameterization, determined with laboratory experiments for each plant type, the model is able to reproduce the root-mean-square wave height transformation observed in experimental data with reasonable accuracy." AUTHOR'S DESCRIPTION: "The theoretical solution for random waves is compared to the experimental results for an artificial kelp field given by Dubi (1995). The experiment was carried out in a 33-m-long, 1-m-wide and 1.6-m-high wave flume...The artificial kelp models were L. hyperborea" "Fig. 3 shows the comparisons between the experimental data and the theoretical root-mean-square wave height described by Eq. (31) for six different runs covering the range of parameters."	ASTRACT: "In this work, a model for wave transformation on vegetation fields is presented. The formulation includes wave damping and wave breaking over vegetation fields at variable depths. Based on a nonlinear formulation of the drag force, either the transformation of monochromatic waves or irregular waves can be modelled considering geometric and physical characteristics of the vegetation field. The model depends on a single parameter similar to the drag coefficient, which is parameterized as a function of the local Keulegan–Carpenter number for a specific type of plant. Given this parameterization, determined with laboratory experiments for each plant type, the model is able to reproduce the root-mean-square wave height transformation observed in experimental data with reasonable accuracy." AUTHOR'S DESCRIPTION: "The theoretical solution for random waves is compared to the experimental results for an artificial kelp field given by Dubi (1995). The experiment was carried out in a 33-m-long, 1-m-wide and 1.6-m-high wave flume...The artificial kelp models were L. hyperborea" "Fig. 3 shows the comparisons between the experimental data and the theoretical root-mean-square wave height described by Eq. (31) for six different runs covering the range of parameters."	ASTRACT: "In this work, a model for wave transformation on vegetation fields is presented. The formulation includes wave damping and wave breaking over vegetation fields at variable depths. Based on a nonlinear formulation of the drag force, either the transformation of monochromatic waves or irregular waves can be modelled considering geometric and physical characteristics of the vegetation field. The model depends on a single parameter similar to the drag coefficient, which is parameterized as a function of the local Keulegan–Carpenter number for a specific type of plant. Given this parameterization, determined with laboratory experiments for each plant type, the model is able to reproduce the root-mean-square wave height transformation observed in experimental data with reasonable accuracy." AUTHOR'S DESCRIPTION: "The theoretical solution for random waves is compared to the experimental results for an artificial kelp field given by Dubi (1995). The experiment was carried out in a 33-m-long, 1-m-wide and 1.6-m-high wave flume...The artificial kelp models were L. hyperborea" "Fig. 3 shows the comparisons between the experimental data and the theoretical root-mean-square wave height described by Eq. (31) for six different runs covering the range of parameters."	ASTRACT: "In this work, a model for wave transformation on vegetation fields is presented. The formulation includes wave damping and wave breaking over vegetation fields at variable depths. Based on a nonlinear formulation of the drag force, either the transformation of monochromatic waves or irregular waves can be modelled considering geometric and physical characteristics of the vegetation field. The model depends on a single parameter similar to the drag coefficient, which is parameterized as a function of the local Keulegan–Carpenter number for a specific type of plant. Given this parameterization, determined with laboratory experiments for each plant type, the model is able to reproduce the root-mean-square wave height transformation observed in experimental data with reasonable accuracy." AUTHOR'S DESCRIPTION: "The theoretical solution for random waves is compared to the experimental results for an artificial kelp field given by Dubi (1995). The experiment was carried out in a 33-m-long, 1-m-wide and 1.6-m-high wave flume...The artificial kelp models were L. hyperborea" "Fig. 3 shows the comparisons between the experimental data and the theoretical root-mean-square wave height described by Eq. (31) for six different runs covering the range of parameters."	ASTRACT: "In this work, a model for wave transformation on vegetation fields is presented. The formulation includes wave damping and wave breaking over vegetation fields at variable depths. Based on a nonlinear formulation of the drag force, either the transformation of monochromatic waves or irregular waves can be modelled considering geometric and physical characteristics of the vegetation field. The model depends on a single parameter similar to the drag coefficient, which is parameterized as a function of the local Keulegan–Carpenter number for a specific type of plant. Given this parameterization, determined with laboratory experiments for each plant type, the model is able to reproduce the root-mean-square wave height transformation observed in experimental data with reasonable accuracy." AUTHOR'S DESCRIPTION: "The theoretical solution for random waves is compared to the experimental results for an artificial kelp field given by Dubi (1995). The experiment was carried out in a 33-m-long, 1-m-wide and 1.6-m-high wave flume...The artificial kelp models were L. hyperborea" "Fig. 3 shows the comparisons between the experimental data and the theoretical root-mean-square wave height described by Eq. (31) for six different runs covering the range of parameters."
Specific Policy or Decision Context Cited em.detail.policyDecisionContextHelp ?	None identified	*	*	*	*	*	*
Biophysical Context	No additional description provided	*	*	*	*	*	*
EM Scenario Drivers em.detail.scenarioDriverHelp ?	No scenarios presented	*	*	*	*	*	*

EM Relationship to Other EMs or Applications

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Method Only, Application of Method or Model Run em.detail.methodOrAppHelp ?	Method + Application (multiple runs exist)	Model Run Associated with a Specific EM Application	Model Run Associated with a Specific EM Application	Model Run Associated with a Specific EM Application	Model Run Associated with a Specific EM Application	Model Run Associated with a Specific EM Application	Model Run Associated with a Specific EM Application
New or Pre-existing EM? em.detail.newOrExistHelp ?	New or revised model	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104

Related EMs (for example, other versions or derivations of this EM) described in ESML

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Document ID for related EM em.detail.relatedEmDocumentIdHelp ?	Doc-424	None	None	None	None	None	None
EM ID for related EM em.detail.relatedEmEmIdHelp ?	EM-896 \| EM-904	EM-896	EM-896	EM-896	EM-896	EM-896	EM-896

EM Modeling Approach

EM Relationship to Time (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
EM Temporal Extent em.detail.tempExtentHelp ?	Not appicable	*	*	*	*	*	*
EM Time Dependence em.detail.timeDependencyHelp ?	time-dependent	*	*	*	*	*	*
EM Time Reference (Future/Past) em.detail.futurePastHelp ?	Not applicable	*	*	*	*	*	*
EM Time Continuity em.detail.continueDiscreteHelp ?	continuous	*	*	*	*	*	*
EM Temporal Grain Size Value em.detail.tempGrainSizeHelp ?	Not applicable	*	*	*	*	*	*
EM Temporal Grain Size Unit em.detail.tempGrainSizeUnitHelp ?	Not applicable	*	*	*	*	*	*

EM spatial extent (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Bounding Type em.detail.boundingTypeHelp ?	Other	*	*	*	*	*	*
Spatial Extent Name em.detail.extentNameHelp ?	wave flume	*	*	*	*	*	*
Spatial Extent Area (Magnitude) em.detail.extentAreaHelp ?	<1 ha	*	*	*	*	*	*

Spatial Distribution of Computations (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
EM Spatial Distribution em.detail.distributeLumpHelp ?	spatially distributed (in at least some cases)	*	*	*	*	*	*
Spatial Grain Type em.detail.spGrainTypeHelp ?	length, for linear feature (e.g., stream mile)	*	*	*	*	*	*
Spatial Grain Size em.detail.spGrainSizeHelp ?	1 m	*	*	*	*	*	*

EM Structure and Computation Approach (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
EM Computational Approach em.detail.emComputationalApproachHelp ?	Analytic	*	*	*	*	*	*
EM Determinism em.detail.deterStochHelp ?	deterministic	*	*	*	*	*	*
Statistical Estimation of EM em.detail.statisticalEstimationHelp ?	Conventional (frequentist) statistics	*	*	*	*	*	*

Model Checking Procedures Used (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Model Calibration Reported? em.detail.calibrationHelp ?	No	*	*	*	*	*	*
Model Goodness of Fit Reported? em.detail.goodnessFitHelp ?	No	*	*	*	*	*	*
Goodness of Fit (metric\| value \| unit) em.detail.goodnessFitValuesHelp ?	None	*	*	*	*	*	*
Model Operational Validation Reported? em.detail.validationHelp ?	Yes	*	*	*	*	*	*
Model Uncertainty Analysis Reported? em.detail.uncertaintyAnalysisHelp ?	No	*	*	*	*	*	*
Model Sensitivity Analysis Reported? em.detail.sensAnalysisHelp ?	No	*	*	*	*	*	*
Model Sensitivity Analysis Include Interactions? em.detail.interactionConsiderHelp ?	Not applicable	*	*	*	*	*	*

EM Locations, Environments, Ecology

Location of EM Application (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])

EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
None	*	*	*	*	*	*

Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)

EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Temperate North Atlantic Northeast Atlantic Northern European Seas	*	*	*	*	*	*

Centroid Lat/Long (Decimal Degree)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Centroid Latitude em.detail.ddLatHelp ?	58.1	*	*	*	*	*	*
Centroid Longitude em.detail.ddLongHelp ?	-7.1	*	*	*	*	*	*
Centroid Datum em.detail.datumHelp ?	WGS84	*	*	*	*	*	*
Centroid Coordinates Status em.detail.coordinateStatusHelp ?	Estimated	*	*	*	*	*	*

Environments and Scales Modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
EM Environmental Sub-Class em.detail.emEnvironmentalSubclassHelp ?	Near Coastal Marine and Estuarine	*	*	*	*	*	*
Specific Environment Type em.detail.specificEnvTypeHelp ?	Near coastal marine and estuarine	*	*	*	*	*	*
EM Ecological Scale em.detail.ecoScaleHelp ?	Ecological scale corresponds to the Environmental Sub-class	*	*	*	*	*	*

Organisms modeled (* Note that run information is shown only where run data differ from the "parent" entry shown at left)

Scale of differentiation of organisms modeled

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
EM Organismal Scale em.detail.orgScaleHelp ?	Species	*	*	*	*	*	*

Taxonomic level and name of organisms or groups identified

EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Species Laminaria hyperborea	*	*	*	*	*	*

EnviroAtlas URL

EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
National Hydrography Dataset Plus (NHD PlusV2)	National Hydrography Dataset Plus (NHD PlusV2)	National Hydrography Dataset Plus (NHD PlusV2)	National Hydrography Dataset Plus (NHD PlusV2)	National Hydrography Dataset Plus (NHD PlusV2)	National Hydrography Dataset Plus (NHD PlusV2)	National Hydrography Dataset Plus (NHD PlusV2)

EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system

* Note that run information is shown only where run data differ from the "parent" entry shown at left

CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)

EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
[Ecosystem] Regulation & Maintenance Mediation of flows Liquid flows Flood protection	*	*	*	*	*	*

National Ecosystem Services Classification System (NESCS) Plus

(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)

EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
None	*	*	*	*	*	*

EM Variable Names (and Units)

* Note that for runs, variable name is displayed only where data for that variable differed by run AND those differences were reported in the source document. Where differences occurred but were not reported, the variable is not listed. Click on variable name to view details.

To view run information for variables, select any variable below or view run data for all variables.

Predictor

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Driving Variables (and Units) em.detail.drivingVariableHelp ?	Distance (horizontal) (m) Plant species (Laminaria hyperborea) (Not applicable) Wave height (initial set-up) (m)	Plant species (Laminaria hyperboria) (Not applicable)	Plant species (Laminaria hyperboria) (Not applicable)	Plant species (Laminaria hyperboria) (Not applicable)	Plant species (Laminaria hyperboria) (Not applicable)	Plant species (Laminaria hyperboria) (Not applicable)	Distance (horozontal) (m) Plant species (Not applicable)
Constant or Factor Variables (and Units) em.detail.constantFactorVariableHelp ?	Drag coefficient (unitless) Plant area per unit height (m) Plant density (no. m^-2) Plant height (mean) (m) Slope (unitless) Water depth (at initial wave set-up) (m) Wave period (peak) (s) Width of vegetation field (m)	Drag coefficient (unitless) Water depth (at initial wave set-up) (m) Wave period (peak) (s)	Drag coefficient (unitless) Water depth (at initial wave set-up) (m) Wave period (peak) (s)	Drag coefficient (unitless) Water depth (at initial wave set-up) (m) Wave period (peak) (s)	Drag coefficient (unitless) Water depth (at initial wave set-up) (m) Wave period (peak) (s)	Drag coefficient (unitless) Water depth (at initial wave set-up) (m) Wave period (peak) (s)	Drag coefficient (unitless) Water depth (at initial wave set-up) (m) Wave period (peak) (s)

Intermediate

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Intermediate (Computed) Variables (and Units) em.detail.intermediateVariableHelp ?	Wave height (root mean square at initial set-up) (m)	Wave height (root mean square at initial set-up) (m)	Wave height (root mean square at initial set-up) (m)	Wave height (root mean square at initial set-up) (m)	Wave height (root mean square at initial set-up) (m)	Wave height (root mean square at initial set-up) (m)	Wave height (root mean square at initial set-up) (m)

Response

EM ID em.detail.idHelp ?	EM-897	IR12WD44	IR8WD57	IR5WD63	IR7WD68	IR6WD75	IR8WD104
Observed Response Variables (and Units) em.detail.observedResponseHelp ?	None	*	*	*	*	*	*
Computed Response Variables (and Units) em.detail.computedResponseHelp ?	Wave height (root mean square) (m)	Wave height (root mean square) (m)	Wave height (root mean square) (m)	Wave height (root mean square) (m)	Wave height (root mean square) (m)	Wave height (root mean square) (m)	Wave height (root mean square) (m)

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: Random wave transformation on Laminaria hyperboria field (EM-897)

EM Identity and Description

Comment:

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Related EMs (for example, other versions or derivations of this EM) described in ESML

EM Modeling Approach

EM Locations, Environments, Ecology

Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])

Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)

Centroid Lat/Long (Decimal Degree)

Scale of differentiation of organisms modeled

Taxonomic level and name of organisms or groups identified

EnviroAtlas URL

EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system

* Note that run information is shown only where run data differ from the "parent" entry shown at left

CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)

National Ecosystem Services Classification System (NESCS) Plus

(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)

EM Variable Names (and Units)

* Note that for runs, variable name is displayed only where data for that variable differed by run AND those differences were reported in the source document. Where differences occurred but were not reported, the variable is not listed. Click on variable name to view details.

Predictor

Intermediate

Response