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:UMCESroms  + (There are several idealized and realistic test cases. Some of the idealized test cases have quasi-analytical solutions.)
• Model:TauDEM  + (This is not a model with adjustable parameters so calibration is not required. Example datasets are available)
• Model:Shoreline  + (This model is not calibrated, but uses physically-based (measurable) parameters and measured data for validation. See next box.)
• Model:TopoFlow-Channels-Diffusive Wave  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Channels-Dynamic Wave  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Channels-Kinematic Wave  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Diversions  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Infiltration-Green-Ampt  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Infiltration-Smith-Parlange  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Meteorology  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Snowmelt-Degree-Day  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Snowmelt-Energy Balance  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Saturated Zone-Darcy Layers  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Evaporation-Read File  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Evaporation-Energy Balance  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Evaporation-Priestley Taylor  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:TopoFlow-Infiltration-Richards 1D  + (This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.)
• Model:OGGM  + (To calibrate and validate the mass-balance model, OGGM relies on mass-balance observations provided by the World Glacier Monitoring Service)
• Model:ESCAPE  + (To get some additional info in regards to … To get some additional info in regards to how to use eSCAPE a series of examples and tutorials is provided in the docker container (Geodels escape-docker) and is also available for download from the eSCAPE-demo repository (https://github.com/Geodels/eSCAPE-demo). (https://github.com/Geodels/eSCAPE-demo).)
• Model:TopoFlow  + (TopoFlow is typically not calibrated to fit data, but is run with best guesses of the physical parameters.)
• Model:Chi analysis tools  + (Topographic analysis: no calibration required.)

• Model:DrEICH algorithm  + (Topographic analysis; no calibration required.)
• Model:Hilltop flow routing  + (Topographic analysis; no calibration required.)

• Model:PIHM  + (Upper Juniata River 875 km^2: see: http://sourceforge.net/projects/pihmmodel/)
• Model:OlaFlow  + (Validation references can be found in: https://sites.google.com/view/olaflowcfd/numerical-model/references/references-internal)
• Model:Landlab  + (Varies among components and models)
• Model:GIPL  + (We have tested the model for different permafrost observation sites for Alaska(USA) and Siberia(Russia). Typically, the model results show good correlation with measured data (if observations are accurate).)
• Model:GLUDM  + (We used the HYDE 3.1 dataset and the USDA' … We used the HYDE 3.1 dataset and the USDA's CropScape dataset for validation. </br>See: Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376.sed model. Applied Geography, 62: 366-376.)
• Model:Badlands  + (examples provided along with the documentation http://github.com/badlands-model/Badlands-doc/releases)
• Model:Delft3D  + (generic model, no specific calibration data sets)
• Model:GSSHA  + (http://www.gsshawiki.com/wiki/index.php5?title=Main_Page)
• Model:Mosartwmpy  + (mosartwmpy was calibrated against historical MOSART-WM 30 year model runs.)
• Model:ModelParameterDictionary  + (n/a)
• Model:LateralVerticalIncision  + (n/a)
• Model:DECAL  + (none yet; in development)
• Model:CMIP  + (not applicable)
• Model:CruAKTemp  + (not relevant)
• Model:Marsh column model  + (see Mudd et al. (2009) ECSS v 82(3) 377-389 Calibrated from South Carolina sediment cores)
• Model:XBeach  + (see http://xbeach.org for list and test bed)
• Model:SedFoam-2.0  + (see the user document)
• Model:OTEQ  + (see user documentation; also see applications at http://water.usgs.gov/software/OTEQ/apps/)
• Model:SimClast  + (tba (see current work in progress))