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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:SWMM + (SWMM conceptualizes a drainage system as a … SWMM conceptualizes a drainage system as a series of water and material flows between several major environmental compartments. These compartments and the SWMM objects they contain include:* The Atmosphere compartment, from which precipitation falls and pollutants are deposited onto the land surface compartment. SWMM uses Rain Gage objects to represent rainfall inputs to the system.* The Land Surface compartment, which is represented through one or more Subcatchment objects. It receives precipitation from the Atmospheric compartment in the form of rain or snow; it sends outflow in the form of infiltration to the Groundwater compartment and also as surface runoff and pollutant loadings to the Transport compartment. * The Groundwater compartment receives infiltration from the Land Surface compartment and transfers a portion of this inflow to the Transport compartment. This compartment is modeled using Aquifer objects. * The Transport compartment contains a network of conveyance elements (channels, pipes, pumps, and regulators) and storage/treatment units that transport water to outfalls or to treatment facilities. Inflows to this compartment can come from surface runoff, groundwater interflow, sanitary dry weather flow, or from user-defined hydrographs. The components of the Transport compartment are modeled with Node and Link objects.Not all compartments need appear in a particular SWMM model. For example, one could model just the transport compartment, using pre-defined hydrographs as inputs., using pre-defined hydrographs as inputs.)
Model:Non Local Means Filtering + (Search window radius: The distance around … Search window radius: The distance around each cell over which to evaluate the non-local mean.Similarity Window Radius: The distance around each cell in the neighbourhood over which to evaluate the mean.Degree of filtering: The weighting for the gaussian kernel controlling the strength of filtering and therefore the decay of weights as a function of distance from the centre of the kernel.of distance from the centre of the kernel.)
Model:CoastMorpho2D + (See -G Mariotti, S Murshid, 2018, A 2D Tid … See-G Mariotti, S Murshid, 2018, A 2D Tide-Averaged Model for the Long-Term Evolution of an Idealized Tidal Basin-Inlet-Delta System, Journal of Marine Science and Engineering 6 (4), 154-G Mariotti, 2020, Beyond marsh drowning: The many faces of marsh loss (and gain)Advances in Water Resources, 103710 gain) Advances in Water Resources, 103710)
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:Rescal-snow + (See 'rescal_snow_input' in docs.)
Model:Cyclopath + (See Burgess et al. (2001), Basin Research)
Model:TUGS + (See Cui (2007a) for detail: http://dx.doi.org/10.1029/2006WR005330)
Model:ErosionDeposition + (See Davy and Lague (2009, Journal of Geophysical Research) for full model description.)
Model:Sakura + (See Kubo 2003 (doi:10.1016/j.sedgeo.2003.11.002))
Model:RASCAL + (See Larsen and Harvey, 2010, Geomorphology and Larsen and Harvey, 2010, American Naturalist (currently in press))
Model:SBEACH + (See SBEACH documentation (http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=Software;31 ).)
Model:Inflow + (See Skene et al., 1997 (doi:10.1016/S0098-3004(97)00064-2))
Model:TURB + (See Slingerland et al. (1994))
Model:LITHFLEX1 + (See Slingerland et al. (1994))
Model:LITHFLEX2 + (See Slingerland et al. (1994))
Model:FLDTA + (See Slingerland et al. (1994) and Henderson (1966))
Model:WRF-Hydro + (See WRF-Hydro Technical Description https://ral.ucar.edu/projects/wrf_hydro/technical-description-user-guide)
Model:OceanWaves + (See Wiberg and Sherwood 2008, Computers & Geosciences 34: 1243-1262 for key equations.)
Model:GRLP + (See Wickert and Schildgen, 2018, Equations 20 and 36)
Model:OTTER + (See Yanites 2018, JGR)
Model:FuzzyReef + (See above)
Model:EstuarineMorphologyEstimator + (See article: https://doi.org/10.3390/rs10121915)
Model:MARSSIM V4 + (See documentation and published papers using MARSSIM)
Model:Landlab + (See documentation at: http://landlab.readthedocs.org)
Model:ISSM + (See https://issm.jpl.nasa.gov/)
Model:TIN-based Real-time Integrated Basin Simulator (tRIBS) + (See https://tribshms.readthedocs.io/en/latest/)

Model:FUNWAVE + (See manual)
Model:SPHYSICS + (See manual)

Model:REF-DIF + (See manual version3)
Model:STWAVE + (See manual, is uploaded)
Model:Glimmer-CISM + (See paper)
Model:Nitrate Network Model + (See readme file with the source file download or related publication by J. A. Czuba.)
Model:River Network Bed-Material Sediment + (See readme file with the source file download or related publications by J. A. Czuba.)
Model:AquaTellUs + (See references.)
Model:RiverMUSE + (See the associated published paper: https://doi.org/10.1086/684223 and the readme file for parameter descriptions.)
Model:TOPOG + (See website, too many to describe: http://www-data.wron.csiro.au/topog/)
Model:HydroTrend + (See: *Kettner, A.J., and Syvitski, J.P.M., … See:*Kettner, A.J., and Syvitski, J.P.M., 2008. HydroTrend version 3.0: a Climate-Driven Hydrological Transport Model that Simulates Discharge and Sediment Load leaving a River System. Computers & Geosciences, Special Issue.More details about the long term sediment routine that is incorporated in the Hydrotrend:*Syvitski, J.P.M., Milliman, J.D., 2007. Geology, 115, 1-19..M., Milliman, J.D., 2007. Geology, 115, 1-19.)
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:1DBreachingTurbidityCurrent + (See: Eke, E., Viparelli, E., and Parker, G., 2011. Field-scale numerical modeling of breaching as a mechanism for generating continuous turbidity currents. Geosphere, 7, 1063-1076. Doi: 10.1130/GES00607.1)
Model:Cliffs + (Shallow-water equations)
Model:GPM + (Shallow-water equations for fluid flow Separate equations for wave propagation Shield's criterion and transport capacity criterion for clastic transport (similar to SEDSIM) Sigle-phase flow in porous media for vertical and 3D compaction options.)
Model:BRaKE + (Shear stress-driven fluvial erosion, primarily modulated by bed erodibility, critical bed shear stress, block delivery, and block size.)
Model:Alpine3D + (Snow settling, temperature diffusion, snow saltation and suspension, snow metamorphism, terrain radiation.)
Model:DepthDependentDiffuser + (Soil flux is calculated at the product of diffusivity, a characteristic transport depth, and an exponential velocity profile based on total soil depth.)
Model:2DFLOWVEL + (Solves the non-linear, depth-averaged conservation equations, using finite difference scheme of Koutitas (1988))
Model:TreeThrow + (Species specific, logistic growth equation for individual trees. Sediment flux for each tree fall a function of sediment volume, transport distance, and hillslope angle. Sediment volume and transport distance a function of tree diamter.)
Model:WAVEWATCH III ^TM + (Spectral action balance equation.)
Model:IncrementalDebrisFlowVolumeAnalyzer + (Standard flow routing and uniform sampling principles are used to govern the processes of this model.)
Model:CarboCAT + (Subsidence rates Production rates CA rules, number of seed neighbours etc)
Model:HexWatershed + (Terrain analysis. One equation is the resolution of a hexagon can be estimated using its area instead of edge length.)
Model:WRF + (The WRF-ARW core is based on an Eulerian s … The WRF-ARW core is based on an Eulerian solver for the fully compressible nonhydrostatic equations, cast in flux (conservative) form, using a mass (hydrostatic pressure) vertical coordinate. Prognostic variables for this solver are column mass of dry air (mu), velocities u, v and w (vertical velocity), potential temperature, and geopotential. Non-conserved variables (e.g. temperature, pressure, density) are diagnosed from the conserved prognostic variables. The solver uses a third-order Runge-Kutta time-integration scheme coupled with a split-explicit 2nd-order time integration scheme for the acoustic and gravity-wave modes. 5th-order upwind-biased advection operators are used in the fully conservative flux divergence integration; 2nd-6th order schemes are run-time selectable.6th order schemes are run-time selectable.)
Model:BITM + (The dynamics of erosion and deposition are … The dynamics of erosion and deposition are schematized with a relationship, which represents a diffusion scheme that changes the bottom elevation at a rate linearly proportional to the difference between the current and the equilibrium profile, defined by the Dean's equation, and then redistributes the removed or deposited material in equal parts between the contiguous inshore and offshore locations. The phenomenon of overwash is schematized assuming that the first shoreface element of the barrier island is eroded of a quantity, which is related to the frequency of hurricanes and severe storms and to the difference between the maximum elevation of the barrier and the mean sea level.elevation of the barrier and the mean sea level.)