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A list of all pages that have property "Describe key physical parameters" with value "See 'rescal_snow_input' in docs.". Since there have been only a few results, also nearby values are displayed.

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  • Model:TURBINS  + (Navier-Stokes equation in Bousinessq approximations: to describe the ambient fluid's motion Transport equation(s): to describe the particle and/or salinity concentration field evolution. Reynolds number, Peclet number, particle settling velocities.)
  • Model:ROMS  + (Navier-Stokes primitive equations. Bio-opt … Navier-Stokes primitive equations. Bio-optical, biogeochemical, and ecosystem models equations. Cohesive and non cohesive sediment equations. Several vertical turbulece equations (KPP, GLS, MY-2.5). Air-Sea interaction coupling equations (COARE). Bottom boundary layer model equations.E). Bottom boundary layer model equations.)
  • Model:ChesROMS  + (Navier-Stokes primitive equations. Bio-opt … Navier-Stokes primitive equations. Bio-optical, biogeochemical, and ecosystem models equations. Cohesive and non cohesive sediment equations. Several vertical turbulece equations (KPP, GLS, MY-2.5). Air-Sea interaction coupling equations (COARE). Bottom boundary layer model equations.E). Bottom boundary layer model equations.)
  • Model:UMCESroms  + (Navier-Stokes primitive equations. Bio-opt … Navier-Stokes primitive equations. Bio-optical, biogeochemical, and ecosystem models equations. Cohesive and non cohesive sediment equations. Several vertical turbulece equations (KPP, GLS, MY-2.5). Air-Sea interaction coupling equations (COARE). Bottom boundary layer model equations.E). Bottom boundary layer model equations.)
  • Model:CBOFS2  + (Navier-Stokes primitive equations. Bio-opt … Navier-Stokes primitive equations. Bio-optical, biogeochemical, and ecosystem models equations. Cohesive and non cohesive sediment equations. Several vertical turbulece equations (KPP, GLS, MY-2.5). Air-Sea interaction coupling equations (COARE). Bottom boundary layer model equations.E). Bottom boundary layer model equations.)
  • Model:GNE  + (Net N & P land surface balance (from i … Net N & P land surface balance (from inputs, incl. atm. deposition) modulated with calibrated runoff relationships to estimate exports to streams; point sources calculated from socioecon. and sewage treatment information; reservoir and consumptive water withdrawal loss using physical relationships. withdrawal loss using physical relationships.)
  • Model:SNAC  + (Newton's second law in the dynamic form is … Newton's second law in the dynamic form is damped to acquire static or quasi-static solutions. Among importance parameters are those for a constitutive model (elastic moduli, linear and non-linear viscosity, and parameters for strain-weakening plasticity) and damping parameters.kening plasticity) and damping parameters.)
  • Model:STVENANT  + (Non-linear long wave equations by Koutitas (1988, p. 68))
  • Model:GeoClaw  + (Nonlinear shallow water equations in conse … Nonlinear shallow water equations in conservation form are solved, with a Manning coefficient used to specify bottom friction. Coriolis terms can also be turned on. Multi-layer shallow water equations are also implemented. Equations can be solved in latitude-longitude coordinates on the sphere or in Cartesian coordinates, e.g. for limited-area or wave tank modeling. Wetting and drying algorithms handle inundation.g and drying algorithms handle inundation.)
  • Model:OTEQ  + (Partial differential equations describing mass transport (Advection-Dispersion-Reaction equations) and algebraic equations describing chemical equilibria are coupled using the Sequential Iteration Approach)
  • Model:GEOtop  + (Please give a look at http://geotopmodel.github.io/geotop/)
  • Model:HydroPy  + (Please refer to the paper https://doi.org/10.5194/gmd-14-7795-2021 (Section 2.2))
  • Model:Compact  + (Porosity, overlying load, compaction coefficient; Athy's Law)
  • Model:Princeton Ocean Model (POM)  + (Primitive equations for momentum, heat and salt fluxes, as well as TKE equations.)
  • Model:Symphonie  + (Primitive equations.Non hydrostatic version available. Sediment transport : cohesive (Partheniades) and non cohesive (Smith and Mac Lean). Biogeochemistry : cycle of C,N,P,Si)
  • Model:PIHM  + (Processes include: 2-D overland flow, 2-D groundwater flow, 1-D soil moisture, 1-D channel flow, snow/melt, et, vegetation water use by NLCD,)
  • Model:WEPP  + (Rain storm depth, storm duration, storm in … Rain storm depth, storm duration, storm intensity - driving variables; effective hydraulic conductivity - controls infiltration into soil; baseline soil erodibility parameters (interrill erodibility, rill erodibility, critical hydraulic shear stress) - control soil detachment rates; slope inputs - control amount of flow shear stress and sediment transport capacity available to detach and tranport soil/sediment; plant growth parameters - control the production of biomass that protects soil surface; residue decomposition parameters - control the rate of residue loss from soil surface; tillage operation parameters - control the amount of soil disturbance and burial of residue - both of which impact the adjusted erodiblities for a given day.the adjusted erodiblities for a given day.)
  • Model:FineSed3D  + (Reynolds number, settling velocity, Froude number (or bulk Richardson number), critical shear stress of erosion, Stokes number)
  • Model:BlockLab  + (River and hillslope erosion coefficients, hillslope weathering parameters; initial block size, block release/motion thresholds, block weathering rate.)
  • Model:SUSP  + (Rouse Equation)
  • Model:SWAN  + (SWAN contains a number of physical process … SWAN contains a number of physical processes (see Scientific/Technical documentation) that add or withdraw wave energy to or from the wave field. The processes included are: wind input, whitecapping, bottom friction, depth-induced wave breaking, obstacle transmission, nonlinear wave-wave interactions (quadruplets and triads) and wave-induced set-up. SWAN can run in several modes, indicating the level of parameterization. SWAN can operate in first-, second- and third-generation mode. The first- and second-generation modes are essentially those of Holthuijsen and De Boer (1988); first-generation with a constant Phillips "constant" of 0.0081 and second-generation with a variable Phillips "constant". An overview of the options is given in Table below.ew of the options is given in Table below.)
  • 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:</br></br>* The Atmosphere compartment, from which precipitation falls and pollutants are deposited onto the land surface compartment. SWMM uses Rain Gage objects to </br>represent rainfall inputs to the system.</br>* 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. </br>* 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. </br>* 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.</br></br>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.</br>Similarity Window Radius: The distance around each cell in the neighbourhood over which to evaluate the mean.</br>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</br>-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</br>-G Mariotti, 2020, Beyond marsh drowning: The many faces of marsh loss (and gain)</br>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'.)
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