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A list of all pages that have property "Describe ideal data" with value "Any 1m resolution bare earth digital elevation model will do.". Since there have been only a few results, also nearby values are displayed.

Showing below up to 72 results starting with #1.

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List of results

    • Model:DrEICH algorithm  + (Any 1m resolution digital elevation model.)
    • Model:Hilltop flow routing  + (Any 1m resolution digital elevation model.)
    • Model:Chi analysis tools  + (Any bedrock channel profile. Module is intended for use on topographic data.)
    • Model:Tracer dispersion calculator  + (Any experimental dataset on tracer dispersal in an bed that is not too far from equilibirum conditions)
    • Model:CrevasseFlow  + (As a test, you can use the attached test data Q and Qs, and run {Qd,Delta_hcs,Bcs,Delta_hcsd,Bcsd,Qout,Qcs,Zcs,Hcs,Vcs}=mainCS(Q,Qs,365,232,1,2,965,2.3,4795,0.009,0.03,1.377e-4,-2,0.0005,0.004,1.5,0.7,1800,2.5e-4,25,4.5e-4))
    • Model:AquaTellUs  + (Boundary conditions like river discharge and sediment loads, input grainsize data, sea level history. Floodplain and deltaic sedimentation rates and grainsize data.)
    • Model:CosmoLand  + (CRN data both hillslope and fluvial.)
    • Model:CarboCAT  + (Carbonate lithofacies thickness distributions)
    • Model:WACCM-EE  + (Cassini data describing Titan photochemical haze. Laboratory work constraining haze properties.)
    • Model:SINUOUS  + (Channel migration data for real meandering rivers. Topography of floodplains of actual migrating rivers.)
    • Model:SimClast  + (ClastSim is ideally used for field tests, a preferably well-studied area with some knowledge of the sediment budget is preferred. Most continental to shallow marine clastic coastal systems without too much tidal influence can be used.)
    • Model:CellularFanDelta  + (Coarse-grained delta experiments without too valley widening, e.g. many XES experiments conducted at the Saint Anthony Falls Laboratory by Paola et al.)
    • Model:MarshMorpho2D  + (Examples are included in the submission)
    • Model:AR2-sinuosity  + (Examples of model output are available in the following data repository: Limaye, A. B., 2021, Sinuosity data for numerically modeled and natural channels, University of Virginia Dataverse, https://doi.org/10.18130/V3/TRTTIS.)
    • Model:WAVEWATCH III ^TM  + (Field data should be used for testing. Lab data has incosistent scaling between gravity and capilary waves.)
    • Model:Caesar  + (Flow and sediment discharge data, images of topographic change)
    • Model:WASH123D  + (For field scale: # Flooding of Dade CountFor field scale:</br></br># Flooding of Dade County watershed in South Florida,</br># Flooding of South Fork Broad River Watershed in South Carolina due to Hurricane Earl,</br># Redistru=ibution of waters in a wetland watershed along Biscayne Bay Coast Wetlands. </br></br>For Laboraty Test:</br></br># Circular Dam Break problems,</br># two dimensional non-symmetrical dam break problem, and</br># Constructed storm water treatment area. # Constructed storm water treatment area.)
    • Model:Shoreline  + (High-resolution coastal change data, for example, digitized from aerial photography or measured with GPS.)
    • Model:WEPP  + (Ideal data would consist of breakpoint (recording raingage) rainfall data, observed temperatures, radiation, wind, plant cover, residue cover, storm runoff, storm sediment loss, etc.)
    • Model:Gospl  + (It can be used to test different hypothesis related to Earth past evolution and to characterise the role of several drivers such as precipitation, dynamic topography, sea-level on Earth landscape evolution and sedimentary basins formation.)
    • Model:BITM  + (It would be interesting to have grainsize data in addition to the other data.)
    • Model:DeltaSIM  + (Known boundary conditions, discharge, and sediment load as well as basin fluctuations. Dated stratigraphic profiles in deltas that are mostly fluvial dominated, ie lake deltas.)
    • Model:GPM  + (Laboratory and field data of free-surface flow and clastic transport rates.)
    • Model:Lake-Permafrost with Subsidence  + (Lake temperature time series, known lake depth, underlying permafrost time series. Surface temperature time series as input (not air temperature).)
    • Model:River Erosion Model  + (Long term (at least 10 years) of data on sLong term (at least 10 years) of data on stream channel evolution. This would include changes in both channel width and bed elevation throughout a small channel network. Also have a continuous time series of discharge and physical characteristics of the stream channels (bed grain size distribution, bank soil erodibility, etc.).istribution, bank soil erodibility, etc.).)
    • Model:Kirwan marsh model  + (Long term, high resolution (annual to couple years) datasets of marsh accretion. Similar time series of channel characteristics would be useful.)
    • Model:RASCAL  + (More aspects of the model will be tested iMore aspects of the model will be tested in the Everglades as part of the upcoming Decompartmentalization Physical Model, a series of experimental flow releases that will elevate water-surface slope and flow velocities and likely entrain sediment. Coinciding measurements of flow velocities and sediment transport characteristics will be made within different vegetation communities as part of the experiment.ion communities as part of the experiment.)
    • Model:HEBEM  + (N/A)
    • Model:Frost Model  + (N/A)
    • Model:Equilibrium Calculator  + (N/A)
    • Model:MARSSIM V4  + (None)
    • Model:FwDET  + (One of the case studies in Cohen et al (2017). Flood event in Lyons, CO.)
    • Model:PIHM  + (PIHM is a distributed watershed model that can represent surface/subsurface processes at scales ranging from a few hundred m^2 to 10,000 km^2. However, large systems will require the parallel version currently under development)
    • Model:Quad  + (Physical experiments and/or field observations of the sedimentary record.)
    • Model:Area-Slope Equation Calculator  + (Reasonable relief catchment.)
    • Model:GNE  + (Robust river nutrient fluxes near the mouth representative of annual, contemporary conditions.)
    • Model:GEOMBEST++  + (Sample input and output files are included with the code.)
    • Model:CHILD  + (See Tucker (2009))
    • Model:CEM  + (See answer above and Ashton and Murray (2006a, b). Data sets spanning large spatial scales are most appropriate, and if model behaviors are going to be compared to shoreline change, long temporal scales are best (see ‘limitations’ above).)
    • Model:EstuarineMorphologyEstimator  + (See article: https://doi.org/10.3390/rs10121915)
    • Model:OTIS  + (See user documentation available at website)
    • Model:TopoFlow-Channels-Diffusive Wave  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Channels-Dynamic Wave  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Channels-Kinematic Wave  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Diversions  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Infiltration-Green-Ampt  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Infiltration-Smith-Parlange  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Meteorology  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Snowmelt-Degree-Day  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Snowmelt-Energy Balance  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Saturated Zone-Darcy Layers  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Evaporation-Read File  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Evaporation-Energy Balance  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Evaporation-Priestley Taylor  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow-Infiltration-Richards 1D  + (Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.)
    • Model:TopoFlow  + (Several test datasets can be downloaded from the TopoFlow website. See /data/progs/topoflow/3.0/data on the CSDMS cluster.)
    • Model:AlluvStrat  + (Subsurface data that comprise channel and overbank deposits in a setting where avulsion magnitudes and frequencies and channel migration rates are known)
    • Model:HydroTrend  + (Test data would be daily water and sediment discharges over many years together with climate data.)
    • Model:GEOtop  + (The ideal data set is one as those of Panola catchment.)
    • Model:QDSSM  + (Time-averaged values over 1000 years from seismic and sequence stratigraphic studies.)
    • Model:CSt ASMITA  + (User supplied time history of shoreline and depth changes over time with supporting long records of short-term wave and current measurements.)
    • Model:Landlab  + (Varies among components and models)
    • Model:ROMS  + (We have test cases for both laboratory and field observations. In the past, we have used data from rotating tanks.)
    • Model:ChesROMS  + (We have test cases for both laboratory and field observations. In the past, we have used data from rotating tanks.)
    • Model:CBOFS2  + (We have test cases for both laboratory and field observations. In the past, we have used data from rotating tanks.)
    • Model:UMCESroms  + (We have test cases for both laboratory and field observations. In the past, we have used data from rotating tanks.)
    • Model:Delft3D  + (controlled laboratory experiment, or well documented field study with extensive measurements and/or remote sensing data)
    • Model:Badlands  + (dataset description provided with the documentation http://github.com/badlands-model/Badlands-doc/releases)
    • Model:DECAL  + (field monitoring of geomorphic development and vegetation mapping, long-term required)
    • Model:VIC  + (http://www.hydro.washington.edu/Lettenmaier/Models/VIC/Development/BetaTesting.shtml)
    • Model:LateralVerticalIncision  + (n/a)