# Property:Describe output parameters model

From CSDMS

This is a property of type Text.

B

Resultant barrier island configuration and sediment distribution along the continental shelf as results of the effects of five different processes: reworking of the beach profile, inner-shelf sediment redistribution, overwash, laggonal deposition and aeolian sediment reworking. +

S

Returns/updates Landlab grid fields:
'topographic__elevation' : Topographic surface elevation
'bedrock__elevation' : Bedrock surface elevation
'soil__depth' : Depth of alluvial layer on river bed
'sediment__flux' : Sediment flux out of each grid node +

A

M

River profiles, sediment transport rates, alluvial cover depths and channel bed elevations. +

O

S

SPARROW is designed to describe the spatial patterns in water quality and the factors that affect it. SPARROW models are developed using mass balance constraints to quantify the relation between stream constituent load (the mass of the constituent being transported by the stream) and the sources and losses of mass in watersheds. Thus the models are inherently designed to predict load (mass per time) for all stream reaches in the modeling region. However, the predictions of stream load can be modified to provide a variety of water-quality metrics that can support various types of assessments.
The SPARROW prediction metrics include constituent yields, concentrations, and source contributions to stream loads:
*Constituent yields
*Constituent concentrations
*Source contributions to stream loads +

SWAN can provide output on uniform, recti-linear spatial grids that are independent from the input grids and from the computational grid. In the computation with a curvi-linear computational grid, curvi-linear output grids are available in SWAN. This also holds for triangular meshes. An output grid has to be specified by the user with an arbitrary resolution, but it is of course wise to choose a resolution that is fine enough to show relevant spatial details. It must be pointed out that the information on an output grid is obtained from the computational grid by bi-linear interpolation (output always at computational time level). This implies that some inaccuracies are introduced by this interpolation. It also implies that bottom or current information on an output plot has been obtained by interpolating twice: once from the input grid to the computational grid and once from the computational grid to the output grid. If the input-, computational- and output grids are identical, then no interpolation errors occur.
In the regions where the output grid does not cover the computational grid, SWAN assumes output values equal to the corresponding exception value. For example, the default exception value for the significant wave height is -9. The exception values of output quantities can be changed by means of the QUANTITY command.
In nonstationary computations, output can be requested at regular intervals starting at a given time always at computational times. +

Sediment properties that include (but are not limited to) bulk density, grain size, porosity, and permeability. These are averaged over are user-specified vertical resolution (typically mm to cm).
Sea-floor properties that include slope, water depth, and sand fraction. +

N

G

See documentation: https://bmi-geotiff.readthedocs.io +

T

See documentation: https://bmi-topography.readthedocs.io +

W

See documentation: https://bmi-wavewatch3.readthedocs.io +

G

See documentation: https://pymt-gridmet.readthedocs.io +

H

See included readme +

F

G

See paper +

N

See results of related publication by J. A. Czuba. +

R

See results of related publications by J. A. Czuba. +