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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:Hogback + (Model works well for resistant layer dips between 10 and 80 degrees. End members will work, but domain setup must be altered.)
Model:Dakotathon + (Most Dakota analysis techniques require multiple iterations of a model to explore a requested parameter space, so an experiment created with Dakotathon can take a long time to run and produce a lot of model output.)
Model:CoastMorpho2D + (Most of the heavy lifting algorithms are implicit, thus numerically stable)
Model:HEBEM + (N/A)
Model:Non Local Means Filtering + (N/A)
Model:SINUOUS + (None identified)
Model:RiverMUSE + (None known; the model requires very little computational expense.)
Model:GullyErosionProfiler1D + (Numerical instabilities occur if the time step is too large.)
Model:CellularFanDelta + (Numerical limitations and issues: # Curren … Numerical limitations and issues:# Currently the model runs with a constant timestep, which is limited by the maximum inflow. Future versions may include adaptive time-stepping.# As mentioned above, the model channels tend to be one or two cells wide. Future versions may address this issue with some combination of diffusive regularization or multi-scale modeling.ve regularization or multi-scale modeling.)
Model:Alpine3D + (Overall, the model is very computationally intensive. It is usually ran on a grid or a cluster.)
Model:TopoFlow + (Overland flow is currently modeled in a no … Overland flow is currently modeled in a nonstandard way. Diffusive wave and dynamic wave routing routines need more testing. The linkage between the unsaturated zone (infiltration component) and saturated zone (subsurface flow component and water table) is not robust. component and water table) is not robust.)
Model:ISSM + (Poor scaling for ice-flow models with direct solvers (improves upon use of iterative solvers, but convergence is not systematic).)
Model:TauDEM + (Presently limited to grids up to 4GB)
Model:CSt ASMITA + (Probably more than we know but none come to mind.)
Model:MCPM + (Quasi-static tide propagation. Flow neglected when water depth too small.)
Model:ROMS + (ROMS has a predictior-corrector algorithm … ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem.ent algorithms that minimize this problem.)
Model:ChesROMS + (ROMS has a predictior-corrector algorithm … ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem.ent algorithms that minimize this problem.)
Model:UMCESroms + (ROMS has a predictior-corrector algorithm … ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem.ent algorithms that minimize this problem.)
Model:CBOFS2 + (ROMS has a predictior-corrector algorithm … ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem.ent algorithms that minimize this problem.)
Model:Caesar + (Run times can be long (60 +days for large areas over many 100's of years). Flow model is steady state)
Model:Lake-Permafrost with Subsidence + (Runs slowly - iterates implicit scheme. Some sort of matrix algebra might improve speed.)
Model:MARSSIM + (Runs with grid sizes greater than about 600x600 may require many days on a PC. Model assumes fluvial streams have gradients determined by steady-state transport. Depositional stratigraphy not modeled.)
Model:SBEACH + (SBEACH is an empirically based model that … SBEACH is an empirically based model that was developed for sandy beaches with uniform representative grain sized in the range of 0.2 to 0.42 mm. SBEACH should be tested or calibrated using data from beach profile surveyed before and after storms on the project coast.ore and after storms on the project coast.)
Model:PHREEQC + (See 'Description of Input and Examples for PHREEQC Version 3 - A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations'.)
Model:WRF-Hydro + (See WRF-Hydro Technical Description https://ral.ucar.edu/projects/wrf_hydro/technical-description-user-guide)

Model:EstuarineMorphologyEstimator + (See article: https://doi.org/10.3390/rs10121915)

Model:Chi analysis tools + (See documentation. The major limitation is computational time. This can be alleviated with sensible selection of module parameters. See documentation for guidance.)
Model:TIN-based Real-time Integrated Basin Simulator (tRIBS) + (See https://tribshms.readthedocs.io/en/latest/)
Model:SPHYSICS + (See manual)
Model:Nitrate Network Model + (See related publication by J. A. Czuba.)
Model:River Network Bed-Material Sediment + (See related publications by J. A. Czuba.)
Model:FwDET + (See: Version 2.0: Cohen et al. (2019), The … See:Version 2.0: Cohen et al. (2019), The Floodwater Depth Estimation Tool (FwDET v2.0) for Improved Remote Sensing Analysis of Coastal Flooding. Natural Hazards and Earth System Sciences (NHESS) Version 1.0: Cohen, S., G. R. Brakenridge, A. Kettner, B. Bates, J. Nelson, R. McDonald, Y. Huang, D. Munasinghe, and J. Zhang (2017), Estimating Floodwater Depths from Flood Inundation Maps and Topography. Journal of the American Water Resources Association (JAWRA):1–12. Water Resources Association (JAWRA):1–12.)
Model:GRLP + (Semi-implicit solution can decrease in accuracy for extremely long (hundreds of millions of years for typical input parameters) time steps)
Model:PIHM + (Solver is efficient and accurate for very stiff systems of equations)
Model:FuzzyReef + (Some of the fuzzy logic methods do not pro … Some of the fuzzy logic methods do not produce unique results as there are a variety of method choices that best 'match' test data. For example, the user can choose a variety of aggregation methods to calculate final carbonate facies and productivity values. carbonate facies and productivity values.)
Model:AR2-sinuosity + (Some parameter values result in channels that self-intersect. The code outputs both the raw centerline and a simplified centerline with self-intersections removed.)
Model:IceFlow + (Some time step limitations due to the *semi* implicit nature of the code)
Model:Cliffs + (Subject to CFL stability condition. Sharp depth changes can cause instability even with low Courant numbers. Pre-processing with depth_ssl is recommended (see Cliffs User Manual at http://arxiv.org/abs/1410.0753 ))
Model:TUGS + (TUGS was developed with a fairly low budget, and thus, bugs may still exist. There are, however, no known numerical limitations at this point.)
Model:SWEHR + (The Courant number must be less than 1 at all times to maintain stability.)
Model:OceanWaves + (The calculations assume the waves are wind waves with periods in the range of 0-~30 s. If the waves are much larger or produced by a different mechanism, the calculations are not likely to be accurate.)
Model:Tracer dispersion calculator + (The elevation specific equation of mass co … The elevation specific equation of mass conservation is integrated with the Euler method. Thus, the user should carefully choose the spatial distance between computational nodes in the vertical and streamwise direction, as well as the temporal increment, to guarantee the numerical stability and mass conservation.numerical stability and mass conservation.)
Model:CHILD + (The fluvial sediment transport equations a … The fluvial sediment transport equations are quasi-diffusive and typically have orders of magnitude spatial variations in rate coefficient (reflecting differences in water discharge), which makes the system of equations stiff. Small time steps are typically required, which can lead to long compute times for large meshes.ad to long compute times for large meshes.)
Model:Shoreline + (The model cannot yet fully handle complex coastline geometries, such as those that cannot be represented (after rotation) by a single-valued function.)
Model:QDSSM + (The model does not allow for compaction)
Model:CEM + (The model handles complex-shaped coastline … The model handles complex-shaped coastlines, such as cuspate-capes and spits. However, where the shoreline curvature becomes extreme (radius of curvature comparable to the cross-shore shoreface extent), as at the ends of spits, the assumptions of a locally rectilinear coordinate system break down, and sediment is conserved less rigorously locally. See Ashton and Murray (2006a) for details.See Ashton and Murray (2006a) for details.)
Model:WDUNE + (The model is abstract.)
Model:Meander Centerline Migration Model + (The model might be unstable if the meander bends are too sharp and/or flow parameters are somehow borderline.)
Model:RASCAL + (The model was designed for laminar to transitional flows, up to 10 cm/s. Under these conditions, the flow velocity solution is approximate but is realistic and stable.)
Model:LateralVerticalIncision + (The profiles should not be spaced too closely in order to avoid an unstable saw-tooth longitudinal profile of the river.)
Model:CAM-CARMA + (This is a large model that takes significant computing resources to spin up run.)