Search by property

This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

• 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:Sun fan-delta model  + (Several, as defined in wrapper script)
• 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 ca … Slope 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, spatially … Source 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 pe … The 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 describ … The 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.)