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A list of all pages that have property "Describe input parameters model" with value "Several, as defined in wrapper script". Since there have been only a few results, also nearby values are displayed.

Showing below up to 26 results starting with #1.

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List of results

  • Model:MARM5D  + (Raster at ArcGIS ASCII format 1. contributRaster at ArcGIS ASCII format</br>1. contributing area (m2)</br>2. topographic slope (%)</br>3. flow direction (ArcGIS coding)</br></br>Tables:</br>4. initial surface particle size distribution (PSD)</br>5. aeolian PSD (optional)</br>6. climate fluctuations (optional)</br></br>Text:</br>7. input parametersions (optional) Text: 7. input parameters)
  • Model:GLUDM  + (Rasters containing the relative area of a specific land use (e.g. cropland) in the past (e.g. 1960, 1980, 1990, 2005). A table of historic and predicted global population.)
  • Model:MRSAA  + (Reach hydraulic parameters (e.g. slope, sediment grain size, critical shear stresses, Chezy coefficient, bed macro-roughness, sediment supply rate, length, channel width, flood intermittency factor, etc.))
  • Model:ThawLake1D  + (Requires an input file called: radin_dailyavg.mat This specifies the daily average incoming radiation.)
  • Model:Equilibrium Calculator  + (River hydrology is described with a flow dRiver hydrology is described with a flow duration curve, the mean annual sand load is specified, the mean annual mud load is computed with a user-specified rating curve, characteristic sand and mud grain size, friction coefficients for the channel and for the floodplain and other model parameters described in the excel caclulatorrameters described in the excel caclulator)
  • Model:Sedflux  + (River mouth characteristics (velocity, width, depth, concentration) averaged daily, or longer. Initial bathymetry. Input sediment distribution and properties of each grain type. Optionally, any of: tectonics, sea level, wave climate, and currents)
  • Model:Plume  + (River velocity, width, depth; Sediment concentrations)
  • Model:SPARROW  + (SPARROW modeling requires the integration SPARROW modeling requires the integration of many types of geospatial data for use as explanatory variables which are considered as either constituent sources or delivery factors. Sources might include certain land types such as urban area, or known contaminant sources such as sewage treatment plants. Delivery terms can include any basin characteristic that may be associated with natural attenuation. For example, denitrification is often associated with certain soil characteristics and the spatial pattern of those soil characteristics is often related to that of constituent loads. In some cases delivery terms might also be associated with enhanced delivery. For example, high basin slope might cause more rapid flows which could increase the delivery of constituents. Delivery is also influenced by the water time of travel in streams, which can be estimated from published USGS time-of-travel studies (e.g., Reed and Stuckey, 2001).el studies (e.g., Reed and Stuckey, 2001).)
  • Model:CASCADE  + (SPM parameters (Kf, Kd, lf, etc) geomtrical and other parameters imposed by modifying the code)
  • Model:Coastal Landscape Transect Model (CoLT)  + (Sea Level Rise rate (mm/yr), upland slope (unitless), suspended sediment concentration (external supply) (mg/L), length of simulation (years))
  • Model:BITM  + (Sea level curve; rate of lagoonal depositiSea level curve; rate of lagoonal deposition; rate of overwash; initial shelf profile. The stratigraphic data are organized in a matrix of integers. Every matrix entry corresponds to a stratigraphic unit (bedrock, overwash, transitional, shoreface, aeolian and lagoonal).itional, shoreface, aeolian and lagoonal).)
  • Model:SEDPAK  + (Sealevel, Subsidence, Start Time, End Time, Sedimentation Rates, Initial basin surface)
  • Model:D'Alpaos model  + (Sediment availability, vegetation characteristics, tidal forcing, rate of relative sea level rise, tidal network configuration and marsh topography if an actual domain is considered.)
  • Model:Compact  + (Sediment porosity, closest-packed porosity, compaction coefficient)
  • Model:Rescal-snow  + (See 'rescal_snow_inputs' in docs)
  • Model:NearCoM  + (See documentation.)
  • Model:GeoTiff Data Component  + (See documentation: https://bmi-geotiff.readthedocs.io)
  • Model:Topography Data Component  + (See documentation: https://bmi-topography.readthedocs.io)
  • Model:GridMET Data Component  + (See documentation: https://pymt-gridmet.readthedocs.io)
  • Model:Hilltop and hillslope morphology extraction  + (See included readme)
  • Model:SPHYSICS  + (See manual)
  • Model:Glimmer-CISM  + (See paper)
  • Model:RiverMUSE  + (See the readme file.)
  • Model:TOPOG  + (See website, too many to describe: http://www-data.wron.csiro.au/topog/)
  • Model:SWAT  + (See: https://swat.tamu.edu/)
  • Model:GENESIS  + (Shoreline position, time series of offshore wave height, period, and direction. Coastal structures and their physical attributes. Optionally, nearshore wave information from an external wave model.)
  • Model:AquaTellUs  + (Simulation time (t) and time step (dt), Initial grid size and slope, Incoming discharge and sediment load (t), Sea level (t), no of grain size classes, grain size distribution, grain size. Sediment transport coeficients)
  • Model:DeltaSIM  + (Simulation time and time step, Initial profile, Stochastic sediment input (t), Sea level (t), Sediment transport parameters (i.e. travel distances))
  • Model:SLAMM 6.7  + (Slope Data: Slope of each cell, used to caSlope Data: Slope of each cell, used to calculate partial changes in cell composition. As</br>derived from the Digital Elevation Map. (units are degrees)</br>• DEM Data: Digital Elevation Map data. Preferrable derived from LiDAR. Contour data</br>(from the National Elevation Database, for example) are typically</br>inappropriate to use for calculating sea level rise effects but serve as data in</br>areas where more precise data are not available ( in this case the elevation</br>preprocessor module may be used). (units are meters)</br>• NWI Data: National Wetlands Inventory categories. Dominant wetland category for</br>each cell is converted into SLAMM categories. This is also used to refine</br>elevation estimates for each cell. Table 4 provides the crosswalk information</br>for Cowardin codes to SLAMM categories</br>• Dike Data: Boolean defining whether each cell is protected by dikes or not. This is</br>available as an attribute of the NWI data, special modifier “h.”</br>• IMP Data: Percent impervious raster, derived from National Land Cover Dataset. Dry</br>land with percent impervious greater than 25% is assumed to be “developed</br>dry land.”25% is assumed to be “developed dry land.”)
  • Model:GNE  + (Source inputs consist of global, spatiallySource inputs consist of global, spatially distributed (GIS) raster datasets: hydrological properties (river basin systems, runoff, reservoirs, irrigation, rainfall), topographic slope, land use, agricultural N & P inputs (fertilizer, manure), atmospheric N deposition, sewage, N fixation, etc.spheric N deposition, sewage, N fixation, etc.)
  • Model:TURB  + (Spatial-temporal mean bed fluid shear stress)
  • Model:GOLEM  + (Standard input parameter files (ascii). For some conditions, also require additional binary file specifying boundary configuration.)
  • Model:DECAL  + (Staring grid topography and vegetation maps, control parameters such as potential transport rates, vegetation response functions)
  • Model:Dionisos  + (Stratigraphic parameters : basin deformation(eustatic curve, subsidence maps, compaction, flexure), supply (boundary conditions, rain fall, carbonate production), transport (waves, water and gravity transport, slope failure))
  • Model:SICOPOLIS  + (Surface mass balance, (precipitation, evaporation, runoff), Mean annual air temperature above the ice, Eustatic sea level, Geothermal heat flux.)
  • Model:Instructed Glacier Model  + (Surface mass balance, Ice thickness, and ice flow)
  • Model:OceanWaves  + (Surface wave height and period or surface winds as well as water depth.)
  • Model:ParFlow  + (TCL script, many physical and numerical parameters needed.)
  • Model:Reservoir  + (The Rippl function executes the sequent peThe Rippl function executes the sequent peak algorithm to determine the no-fail storage for given inflow and release time series. The storage function gives the design storage for a specified timebased reliability and yield. Similarly, the yield function computes yield given the storage capacity. The rrv function returns three reliability measures, relilience, and dimensionless vulnerability for given storage, inflow time series, and target release. Users can assume Standard Operating Policy, or can apply the output of sdp analysis to determine the RRV metrics under different operating objectives. The Hurst function estimates the Hurst coefficient for an annualized inflow time series.ient for an annualized inflow time series.)
  • Model:Alpine3D  + (The area to be simulated has to be describThe area to be simulated has to be described (DEM, landuse). The meteorological input data (air temperature, relative humidity, precipitations...) have to be described (units, interpolations types). Some parameters about the model itself must be given (precision of the radiation ray tracing algorithms, characteristic lengths, parameters for a bucket model of runoff...)arameters for a bucket model of runoff...))
  • Model:SWAN  + (The bathymetry, current, water level, bottom friction and wind (if spatially variable) need to be provided to SWAN on so-called input grids. It is best to make an input grid so large that it completely covers the computational grid.)
  • Model:TopoFlow-Evaporation-Read File  + (The behavior of this component is controllThe behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component:</br> Method code: 1</br> Method name: Read_from_binary_file</br> Time step: Scalar 10800.00000000 (sec)</br> ET rate: Grid_Sequence Space-time_Rain_Test/Rain_TEST.rts (mm/hr)ace-time_Rain_Test/Rain_TEST.rts (mm/hr))
  • Model:OGGM  + (The default climate dataset used by OGGM is the Climatic Research Unit (CRU) TS v4.01 dataset)
  • Model:WOFOST  + (The input data for WOFOST consists of threThe input data for WOFOST consists of three categories:</br>1. Daily weather variables (temperature, radiation, precipitation, humidity, windspeed)</br>2. Parameters for the crop, soil and site</br>3. Agromanagement information related to the cropping practices: sowing, harvesting, irrigation, nutrient application, etc.</br></br>How these inputs are provided to the model depends on the implementation.o the model depends on the implementation.)
  • Model:SurfaceRoughness  + (The input file is a DEM in .flt format. A driver text file is also required which contains the parameters used for the extraction.)
  • Model:DrEICH algorithm  + (The input file is a DEM in .flt format. A The input file is a DEM in .flt format. A driver text file is also required which contains the parameters used for the extraction. Information on the parameters needed in the driver file is available in the documentation (http://www.geos.ed.ac.uk/~smudd/LSDTT_docs/html/channel_heads.html).smudd/LSDTT_docs/html/channel_heads.html).)
  • Model:GullyErosionProfiler1D  + (The input file is a text file and users arThe input file is a text file and users are required to input: </br>Time (in model years)</br>dT (the time step in fractions of a year)</br>tauc (Critical Shear stress for portions of the channel that are vegetated in Pascals)</br>taucWepp (Critical Shear stress for portions of the channel that are soil in Pascals)</br>lenzone (the length of channel that is bare soil in Meters)</br>Pmmphr (Rainfall to be used for erosion in Millimeters per Hour)</br>tval (this is the number of loop iterations before a profile is saved as output)</br>Immphr (Infiltration to be used for erosion in Millimeters per Hour)</br></br>One additional input: </br>One must supply the input length of the channel as a matlab data array called xcell.matel as a matlab data array called xcell.mat)
  • Model:ACADIA  + (The input file is required for each run anThe input file is required for each run and provides the basic simulation parameters. It must conform to the ACADIA.inp standard format as described below</br></br>Line1: should read the character string 'Comment�:' which is the label for the next line and is ignored during data input</br></br>Line2: inputs a comment of maximum 72 characters about the current simulation</br>Line3: should read 'Case name', which is the label for the next line and is ignored during data input</br>Line4: specifes the case name (including the directory location if it is not soft-linked to the current directory). The code will append the suffixes '.nod',</br>'.ele',and '.bat' to this string in order to know where to find the NML standard files</br>Line5: should read 'Simulation Parameters', which is the label for the next line and is ignored during data input</br>Line6: inputs the number of transport variables</br>Line7: inputs the number of �uid layers</br>Line8: inputs the degrees latitude of the center of the mesh </br>Line9: inputs the time step in seconds</br>Line10: inputs the starting date (day, month, year), time (in seconds after midnight). The value of time can be greater than 8.64E4 (equivalent of 1 day) as the code will automatically adjust the day and time accordingly</br>Last Line: inputs the quitting criteria for the code as day, month, year and time in seconds after midnight. Again the value of time can be greater than 8.64E4. This allows the user to specify an overall length of the simulation instead of the exact date and time of the end of the simulationdate and time of the end of the simulation)
  • Model:Hilltop flow routing  + (The input files are a DEM in .flt format, The input files are a DEM in .flt format, a channel heads file generated using the DrEICH algorithm (https://csdms.colorado.edu/wiki/Model:DrEICH_algorithm) and an optional floodplain mask in .flt format. Input parameters are also supplied at the command line. Information on the parameters is available in the documentation (http://www.geos.ed.ac.uk/~smudd/LSDTT_docs/html/channel_heads.html).smudd/LSDTT_docs/html/channel_heads.html).)
  • Model:REF-DIF  + (The input includes file names for output, subgrid information, physical parameters and wave conditions. Water depth is obtained from the master program though a file name for water depth input is still kept in "indat.dat".)