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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:RiverMUSE + (See readme file and the associated publish … See readme file and the associated published paper: https://doi.org/10.1086/684223.</br>Calibration must be performed on a site-by-site basis; the provided data do not permit calibration for our sites, but we do include the calibrated parameters and explain our methods.brated parameters and explain our methods.)
Model:CoAStal Community-lAnDscape Evolution (CASCADE) model + (See testing description on github.)
Model:STWAVE + (See the following studies: http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=ARTICLES;276&g=46 http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=ARTICLES;277&g=46 http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=ARTICLES;278&g=46)
Model:TUGS + (See two papers: Cui (2007a) http://dx.doi.org/10.1029/2006WR005330 Cui (2007b) http://dx.doi.org/10.1002/rra.1012 A manuscript with regard to its application to the Waipaoa River, NZ is currently underway by Basil Gomez and others.)
Model:OTIS + (See user documentation available at website)
Model:DLBRM + (See: Croley, T. E., II, C. He, and D. H. L … See:</br>Croley, T. E., II, C. He, and D. H. Lee, 2005. Distributed-parameter large basin runoff model II: application. Journal of Hydrologic Engineering, 10(3):182-191.</br>C.He, and Croley, T.E., 2007. Application of a distributed large basin runoff model in the Great Lakes basin. Control Engineering Practice, 15(8): 1001-1011.ol Engineering Practice, 15(8): 1001-1011.)
Model:CREST + (See: http://hydro.ou.edu/Model/CREST/CREST_downloads.html)
Model:WAVEWATCH III ^TM + (Separate publications.)
Model:TOPMODEL + (TOPMODEL calibration procedures are relati … TOPMODEL calibration procedures are relatively simple because it uses very few parameters in the model formulas. The model is very sensitive to changes of the soil hydraulic conductivity decay parameter, the soil transmissivity at saturation, the root zone storage capacity, and the channel routing velocity in larger watersheds. The calibrated values of parameters are also related to the grid size used in the digital terrain analysis. The timestep and the grid size also have been shown to influence TOPMODEL simulations.n shown to influence TOPMODEL simulations.)
Model:River Temperature Model + (Tested against river temperature observations of the Kuparuk river on the North Slope of Alaska (described in Zheng et al., 2019).)
Model:Caesar + (Tested on several catchments in UK over long and short time scales.)
Model:Princeton Ocean Model (POM) + (Testing described in various papers (see web page))
Model:1DBreachingTurbidityCurrent + (The codes have been validated against laboratory experiments which are described in Eke's MS thesis. The results are summarized in her thesis and in a conference paper that she presented in Vancouver.)
Model:SoilInfiltrationGreenAmpt + (The component is unit tested against known analytical solutions as part of Landlab.)
Model:Tracer dispersion calculator + (The experiments by Wong et al. (2007) were … The experiments by Wong et al. (2007) were used to determine a relation to express the elevation of the maximum probability of particle entrainment in bedload transport to the characteristics of the flow and of the sediment. </br>The Wong et al. (2007) dataset is available in the github repository with the comparison between model results and experimental data.tween model results and experimental data.)
Model:HEBEM + (The hydrologic model was calibrated using hydrologic measurements of WE-38 watershed in PA)
Model:CHILD + (The model has been benchmarked against ana … The model has been benchmarked against analytical solutions for simple cases, such as fluvial slope-area scaling and parabolic to parabolic-planar hillslope form under uniform erosion, materials, and climate. Testing and calibration of some of the individual components (e.g., linear and nonlinear soil creep, stream-power fluvial erosion law, etc.) have been reported in the literature (for a review, see Tucker and Hancock, 2010). Testing of the full coupled model using natural experiments (Tucker, 2009) is ongoing.ral experiments (Tucker, 2009) is ongoing.)
Model:Mrip + (The model has been compared qualitatively with Clarke and Werner (2004), Gallagher et al 1998, 2003 and 2005 and various Hay papers.)
Model:OverlandFlow + (The model is tested against the known analytical solution (see Adams et al., 2017 for more details). It is unit-tested against this analytical solution every time Landlab is updated.)
Model:SPACE + (The model is tested against three known analytical solutions (see Shobe et al., 2017 for details).)
Model:Mixed bedrock-alluvial morphodynamic + (The model is validated against a set of laboratory experiments that have been performed in a unidirectional flume.)
Model:CarboLOT + (The model produces virtual core-logs which can be compared with Ocean Drilling Program and other descriptive core logs and with outcrops.)
Model:Equilibrium Calculator + (The model was zeroed on the pre-1930 Minnesota River between Mankato and Jordan, Minnesota, using data available in the literature and on the USGS website.)
Model:GreenAmptInfiltrationModel + (The test is available in the main function of the code)
Model:Gospl + (The user guide covers essential features of gospl, mostly in the form of interactive Jupyter notebooks and Python scripts. https://gospl.readthedocs.io/en/latest/user_guide/index.html)

Model:DeltaSIM + (Theoretical tests, Volga case study, Kura case study, (see references))

Model:GEOtop + (There are few test on Rio Corda, a ten square kilometer catchment in Trentino, Italy. Simulations on Little Washita will be made available soon, too.)
Model:ROMS + (There are several idealized and realistic test cases. Some of the idealized test cases have quasi-analytical solutions.)
Model:ChesROMS + (There are several idealized and realistic test cases. Some of the idealized test cases have quasi-analytical solutions.)
Model:CBOFS2 + (There are several idealized and realistic test cases. Some of the idealized test cases have quasi-analytical solutions.)
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.)