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A list of all pages that have property "Describe key physical parameters" with value "Law of the Wall". Since there have been only a few results, also nearby values are displayed.

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  • Model:TopoFlow-Snowmelt-Energy Balance  + (Equations Used by the Energy-Balance MethoEquations Used by the Energy-Balance Method</br></br> M = (1000 * Q_m) / (ρ_water * L_f) = meltrate (mm / sec)</br> M_max = (1000 * h_snow / dt) * (ρ_water / ρ_snow) = max possible meltrate (mm / sec)</br> dh_snow = M * (ρ_water / ρ_snow) * dt = change in snow depth (m)</br> Q_m = Q_SW + Q_LW + Q_h + Q_e - Q_cc = energy flux used to melt snow (W / m^2)</br> Q_h = ρ_air * c_air * D_h * (T_air - T_surf) = sensible heat flux (W / m^2)</br> Q_e = ρ_air * L_v * D_e * (0.662 / p_0) * (e_air - e_surf) = latent heat flux (W / m^2)</br> D_n = κ^2 * u_z / LN((z - h_snow) / z0_air)^2 = bulk exchange coefficient (neutrally stable conditions) (m / s)</br> D_h = D_n / (1 + (10 * Ri)), (T_air > T_surf) = bulk exchange coefficient for heat (m / s) (stable)</br> = D_n * (1 - (10 * Ri)), (Tair < Tsurf) = bulk exchange coefficient for heat (m / s) (unstable)</br> D_e = D_h = bulk exchange coefficient for vapor (m / s)</br> Ri = g * z * (T_air - T_surf) / (u_z^2 (T_air + 273.15)) = Richardson's number (unitless)</br> Q_cc = (see note below) = cold content flux (W / m^2)</br> E_cc(0) = h0_snow * ρ_snow * c_snow * (T_0 - T_snow) = initial cold content (J / m^2) (T0 = 0 now)</br> e_air = e_sat(T_air) * RH = vapor pressure of air (mbar)</br> e_surf = e_sat(T_surf) = vapor pressure at surface (mbar)</br> e_sat = 6.11 * exp((17.3 * T) / (T + 237.3)) = saturation vapor pressure (mbar, not KPa), Brutsaert (1975)vapor pressure (mbar, not KPa), Brutsaert (1975))
  • Model:TopoFlow-Infiltration-Green-Ampt  + (Equations Used by the Green-Ampt Method fEquations Used by the Green-Ampt Method</br> f_c = K_i + ((K_s - K_i) * (F + J) / F) = infiltrability (m / sec) (max infiltration rate)</br> = K_s + (J / F) * (K_s - K_i) = infiltrability (m / sec) (max infiltration rate)</br> J = G * (θ_s - θ_i) = a quantity used in previous equation (meters)</br> v_0 = min((P + M), f_c) = infiltration rate at surface (mm / sec) (K_s < (P + M))</br> = (P + M) = infiltration rate at surface (mm / sec) (K_s > (P + M))</br> F = ∫ v_0(t) d_t, (from times 0 to t) = cumulative infiltration depth (meters) (vs. I' in Smith (2002)iltration depth (meters) (vs. I' in Smith (2002))
  • Model:TopoFlow-Infiltration-Smith-Parlange  + (Equations Used by the Smith-Parlange 3-ParEquations Used by the Smith-Parlange 3-Parameter Method</br></br> f_c = K_s + γ * (K_s - K_i) / (exp(γ * F / J) - 1) = infiltrability (m / sec) (max infiltration rate)</br> J = G * (θ_s - θ_i) = a quantity used in previous equation (meters)</br> v_0 = min((P + M), f_c) = infiltration rate at surface (mm / sec) (K_s < (P + M))</br> = (P + M) = infiltration rate at surface (mm / sec) (K_s > (P + M))</br> F = ∫ v_0(t) dt, (from times 0 to t) = cumulative infiltration depth (meters) to t) = cumulative infiltration depth (meters))
  • Model:WACCM-EE  + (Equations focused on are the radiative transfer equations, and equations governing haze microphysics)
  • Model:Caesar  + (Flow depths calculated using version of maFlow depths calculated using version of mannings implemented across a cellular grid using a scanning algorithm.</br>Sediment tranport using either Einstein or Wilcock and Crowe functions</br>Slope model using simple slab failure and psuedo USLE implementation</br>Dune model adaption of DECAL and Werner slab modelel adaption of DECAL and Werner slab model)
  • Model:IDA  + (Flow direction: the direction to the immediately neighboring cell (N,NE,E,...) to which flow from a cell is directed. Drainage area: The size of the total number of cells that drain through a cell.)
  • Model:SINUOUS  + (Flow modeling is based on the Ikeda, ParkeFlow modeling is based on the Ikeda, Parker, and Sawaii (1984) and Johannesson and Parker (1989) linearized flow models. See the model documentation and published papers documented therein. Floodplain sedimentation is modeled as described in the documentation and in Howard(1992, 1996). Backwater flow routing and bed sediment routing is based upon Gary Parker's ebook spreadsheet RTe-bookAgDegBW.xls:. See the program documentation for further details.program documentation for further details.)
  • Model:ParFlow  + (Fully described in manual.)
  • Model:GLUDM  + (Global population values is assumed to be the most important controlling factor on the area of a specific agricultural land use area.)
  • Model:Lake-Permafrost with Subsidence  + (Heat conduction equations, lake ice growth-decay equations)
  • Model:Icepack  + (Ice thickness and velocity, mass continuity, Stokes equations)
  • Model:CMFT  + (In each cell and at each time step the following are computed: bottom elevation, above-ground vegetation, water level, wave height, tidal current velocity, bottom shear stress, and suspended sediment concentration.)
  • Model:Pllcart3d  + (Incompressible Navier-Stokes equations coupled to a convective-diffusive equation to describe the concentration field of the particles.)
  • Model:Spbgc  + (Incompressible flow equations: Navier-Stokes with or without Boussinesq approximation. Transport equation to describe the motion of particles (or Salanity or Temperature).)
  • Model:Gvg3Dp  + (Incompressible flow equations: Navier-Stokes with Boussinesq approximations. Transport equation to describe the motion of particles (or Salanity or Temperature).)
  • Model:SISV  + (Incompressible flow equations: Navier-Stokes with Boussinesq approximations. Transport equation to describe the motion of particles (or Salanity or Temperature).)
  • Model:HEBEM  + (Infiltration capacity, water balance equation Hydraulic conductivity, 2-D Dupuit groundwater movement equation)
  • Model:OTIS  + (Instream mass transport based on the Advection-Dispersion equation with additional terms to consider inflow, transient storage, and chemical transformation.)
  • Model:KWAVE  + (Key parameters include soil hydraulic properties, parameters related to vegetation cover (needed to compute interception), and hydraulic roughness.)
  • Model:Kirwan marsh model  + (Key parameters include the rate of sea levKey parameters include the rate of sea level rise, suspended sediment concentration, tidal range (which controls vegetation distribution), critical shear stress for sediment erosion, and the period of time that erosion takes place during each tidal cycle. Parameters controlling the growth pattern of vegetation can easily be modified.tern of vegetation can easily be modified.)
  • Model:WASH123D  + (Key physical parameters are: # flows riveKey physical parameters are:</br># flows rivers/stream/canal/open channel networks - 1D St Venant Equations for River Networks with kinematic, diffusive, and fully dynamic wave options,</br># flows in overland regime - 2D St Venant Equations with: kinematic, diffusive, and fully dynamic wave options,</br># flow in subsurface media - 3D Richard Equation for both vadose and saturated zones,</br># salinity, thermal, and sediment transport in river networks and overland regime - modified ddvection-dispersion equations with phenomenological approaches for erosion and deposition, and</br># water quality transport for all media - advection-dispersion-reaction equations with reaction-based mechanistic approaches to water quality modeling using a general paradigm.</br>For details refer to Yeh et al., 2005 Technical Report on WASH123D et al., 2005 Technical Report on WASH123D)
  • Model:Sun fan-delta model  + (Key physical parameters include sediment gKey physical parameters include sediment grain size, sediment, density, water and sediment discharge, run time, the initial surface slope, the threshold sediment flux to propagate a new channel, and the allowed channel superelevation above the surrounding topography before avulsion. These parameters and the governing equations for the model are fully described in Limaye et al. (2023), Effect of standing water on formation of fan-shaped sedimentary deposits at Hypanis Valles, Mars, https://dx.doi.org/10.1029/2022GL102367s, https://dx.doi.org/10.1029/2022GL102367)
  • Model:CrevasseFlow  + (Key physical parameters: *Q: water discharKey physical parameters:</br>*Q: water discharge upstream crevasse splay;</br>*Qcs: outflow discharge of crevasse splay;</br>*Qabove: the water discharge above the bottom of crevasse splay; </br>*rq: the discharge ratio of Qcs and Qabove;</br>*hs: channel belt's super-elevation (the elevation of lowest point of channel bed);</br>*Zcs: bottom elevation of crevasse splay;</br>*Bcs: width of crevasse splay;</br>*Hcs: flow depth of crevasse splay;</br>*Vcs: flow velocity of crevasse splay;</br>*jcs: slope of the outflow of crevasse splay;</br>*Zcsb: bottom elevation of a crevasse splay whose flow slope is equal to the channel slope j;</br></br>Key physical equations:</br>*Zcs<=max(hs,Zcsb); </br>*rq=(1.55-1.45*Fi)*Bcs/wc+0.16*(1-2*Fi), in which Fi is the Fraud number for flow in the trunk channel, wc is width of the trunk channel;</br>*Hcs=(nc*Qcs/sqrt(jcs)/Bcs)^(3/5);</br>*Vcs=Qcs/Hcs/Bcs;</br>*dE=M*(Vcs^2-ucre^2)/ucre^2*dt, where M is M-coefficient for erosion rate for crevasse slpay, ucre is critical velocity for erosion, dt is time step;</br>*dD=Sv*(1-Vcs^2/ucrd^2)*ws/0.6*dt, where Sv is volume sediment concentration, ucrd is critical velocity for deposition, ws is settling velocity of suspended load, dt is time step. velocity of suspended load, dt is time step.)
  • Model:GOLEM  + (Key state variables include surface elevation, soil thickness, and discharge.)
  • Model:VIC  + (Land Cover can subdivide each grid cell's Land Cover can subdivide each grid cell's land cover into arbitrary number of "tiles", each corresponding to the fraction of the cell covered by that particular land cover (e.g. coniferous evergreen forest, grassland, etc.)</br>geographic locations or configurations of land cover types are not considered; VIC lumps all patches of same cover type into 1 tile</br>Snow Model</br>VIC considers snow in several forms: ground snow pack, snow in the vegetation canopy, and snow on top of lake ice. Main features:</br></br>Ground snow pack is quasi 2-layer; the topmost portion of the pack is considered separately for solving energy balance at pack surface</br>Meteorological Input Data</br>Can use sub-daily met data (prcp, tair, wind) at intervals matching simulation time step</br>Can use daily met data (prcp, tmax, tmin, wind) for daily or sub-daily simulations</br>Disaggregates daily met data to sub-daily via Thornton & Running algorithm and others (computes incoming sw and lw rad, pressure, density, vp)</br>VIC can consider spatial heterogeneity in precipitation, arising from either storm fronts/local convection or topographic heterogeneity. Here we consider the influence of storm fronts and local convective activity. This functionality is controlled by the DIST_PRCP option in the global parameter file. Main features:</br></br>Can subdivide the grid cell into a time-varying wet fraction (where precipitation falls) and dry fraction (where no precipitation falls).</br>The wet fraction depends on the intensity of the precipitation; the user can control this function.</br>Fluxes and storages from the wet and dry fractions are averaged together (weighted by area fraction) to give grid-cell average for writing to output files.</br>Elevation Bands</br>VIC can consider spatial heterogeneity in precipitation, arising from either storm fronts/local convection or topographic heterogeneity. Here we consider the influence of topography, via elevation bands. This is primarily used to produce more accurate estimates of mountain snow pack. This functionality is controlled by the SNOW_BAND option in the global parameter file. Main features:</br></br>Can subdivide the grid cell into arbitrary number of elevation bands, to account for variation of topography within cell</br>Within each band, meteorologic forcings are lapsed from grid cell average elevation to band's elevation</br>Geographic locations or configurations of elevation bands are not considered; VIC lumps all areas of same elevation range into 1 band</br>Fluxes and storages from the bands are averaged together (weighted by area fraction) to give grid-cell average for writing to output files</br>However, the band-specific values of some variables can be written separately in the output files</br></br>Liang et al. (1999): set QUICK_FLUX to TRUE in global parameter file; this is the default for FULL_ENERGY = TRUE and FROZEN_SOIL = FALSE.</br>Cherkauer et al. (1999): set QUICK_FLUX to FALSE in global parameter file; this is the default for FROZEN_SOIL = TRUE.</br>By default, the finite difference formulation is an explicit method.</br>By default, the nodes of the finite difference formulation are spaced linearly.</br>These apply to the case QUICK_FLUX = FALSE and FROZEN_SOIL = TRUE, i.e. the formulation of Cherkauer et al. (1999).e. the formulation of Cherkauer et al. (1999).)
  • Model:RCPWAVE  + (Linear nearshore wave transformation numerLinear nearshore wave transformation numerical model for estimating wave transformation over an arbitrary bathymetry constrained to have mild bottom slopes. The model is based on the numerical solution of the parabolic approximation of the velocity potential of the forward scattered wave field.ntial of the forward scattered wave field.)
  • Model:Coastal Dune Model  + (Linearized RANS for turbulent boundary layer over smooth terrain Shear stress partitioning model (work of Raupach et al 1993) Vegetation growth parameters (timescale, vegetation height, ratio of frontal to basal area))
  • Model:TopoFlow-Channels-Dynamic Wave  + (Main equations used by this component: ΔVMain equations used by this component:</br> ΔV(i,t) = Δt * ( R(i,t) Δx Δy - Q(i,t) + Σ_k Q(k,t) ) = change in water volume (m^3) (mass cons.)</br> d = {( w^2 + 4 tan(θ) V / L)^1/2 - w } / (2 tan(θ)) = mean water depth in channel segment (m) (if θ > 0)</br> d = V / (w * L) = mean water depth in channel segment (m) (if θ = 0)</br> Δv(i,t) = Δt * (T_1 + T_2 + T_3 + T_4 + T_5) / ( d(i,t) * A_w )= change in mean velocity (m / s) (mom. cons.)</br> T_1 = v(i,t) * Q(i,t) * (C - 1) = efflux term in equation for Δv</br> T_2 = Σ_k (v(k,t) - v(i,t) * C) * Q(k,t) = influx term in equation for Δv</br> T_3 = -v(i,t) * C * R(i,t) * Δx * Δy = "new mass" momentum term in equation for Δv</br> T_4 = A_w * (g * d(i,t) * S(i,t)) = gravity term in equation for Δv</br> T_5 = -A_w * (f(i,t) * v(i,t)^2) = friction term in equation for Δv</br> Q = v * A_w = discharge of water (m^3 / s)</br> f(i,t) = ( κ / LN ( a * d(i,t) / z_0) )^2 = friction factor (unitless) (for law of the wall)</br> f(i,t) = g * n^2 / Rh(i,t)^1/3 = friction factor (unitless) (for Manning's equation)</br> C = A_w / A_t = area ratio appearing in equation for Δv</br> A_t = w_t * L = top surface area of a channel segment (m2) (L = length)</br> w_t = w + ( 2 * d * tan(θ) ) = top width of a wetted trapezoidal cross-section (m)</br> R_h = A_w / P_w = hydraulic radius (m)</br> A_w = d * (w + (d * tan(θ))) = wetted cross-sectional area of a trapezoid (m2)</br> P_w = w + (2 * d / cos(θ)) = wetted perimeter of a trapezoid (m)</br> V_w = d^2 * ( L * tan(θ) ) + d * (L * w) = wetted volume of a trapezoidal channel (m)</br></br>(Source: TopoFlow HTML Help System)nnel (m) (Source: TopoFlow HTML Help System))
  • Model:TopoFlow-Evaporation-Energy Balance  + (Main equations used by this component: ETMain equations used by this component:</br> ET = (1000 * Q_et) / (ρ_water * L_v) = evaporation rate (mm / sec)</br> Q_et = (Q_SW + Q_LW + Q_c + Q_h) = energy flux used to evaporate water (W / m^2)</br> Q_c = K_soil * (T_soil_x - T_surf) * (100 / x)= conduction energy flux (W / m^2) (between surf. and subsurf.)</br> Q_h = ρ_air * c_air * D_h * (T_air - T_surf) = sensible heat flux (W / m^2)</br> D_n = u_z * κ^2 / LN((z - h_snow) / z0_air)^2 = bulk exchange coeff. (neutrally stable conditions) (m / s)</br> D_h = D_n / (1 + (10 * Ri)), (T_air > T_surf) = bulk exchange coeff. for heat (m / s) (stable) </br> = D_n * (1 - (10 * Ri)), (T_air < T_surf) = bulk exchange coeff. for heat (m / s) (unstable)</br> Ri = g * z * (T_air - T_surf) / (u_z^2 (T_air + 273.15)) = Richardson's number (unitless)air + 273.15)) = Richardson's number (unitless))
  • Model:TopoFlow-Channels-Diffusive Wave  + (Main equations used by this component: ΔVMain equations used by this component:</br> ΔV(i,t)= Δt * ( R(i,t) Δx Δy - Q(i,t) + Σk Q(k,t) ) = change in water volume (m^3), mass conservation</br> d = {( w^2 + 4 tan(θ) V / L)^1/2 - w } / (2 tan(θ)) = mean water depth in channel segment (m) (if θ > 0)</br> d = V / (w * L) = mean water depth in channel segment (m) (if θ = 0)</br> Q = v * Aw = discharge of water (m^3 / s)</br> v = n^(-1) * Rh^(2/3) * S^(1/2) = section-averaged velocity (m / s), Manning's formula</br> v = ( g * Rh * S)^(1/2) * LN( a * d / z0) / κ = section-averaged velocity (m / s), Law of the Wall</br> Rh = Aw / Pw = hydraulic radius (m)</br> Aw = d * (w + (d * tan(θ))) = wetted cross-sectional area of a trapezoid (m^2)</br> Pw = w + (2 * d / cos(θ)) = wetted perimeter of a trapezoid (m)</br> Vw = d^2 * ( L * tan(θ) ) + d * (L * w) = wetted volume of a trapezoidal channel (m)</br></br>(Source: TopoFlow HTML Help System)nnel (m) (Source: TopoFlow HTML Help System))
  • Model:TopoFlow-Evaporation-Priestley Taylor  + (Main equations used by this component: ETMain equations used by this component:</br> ET = (1000 * Q_et) / (ρ_water * L_v) = evaporation rate (mm / sec)</br> Q_et = α * (0.406 + (0.011 * T_air)) * (Q_SW + Q_LW - Q_c) = energy flux used to evaporate water (W / m^2)</br> Q_c = K_soil * (T_soil_x - T_surf) * (100 / x) = conduction energy flux (W / m^2)0 / x) = conduction energy flux (W / m^2))
  • Model:TopoFlow-Channels-Kinematic Wave  + (Main equations used by this component: ΔVMain equations used by this component:</br> ΔV(i,t) = Δt * ( R(i,t) Δx Δy - Q(i,t) + Σ_k Q(k,t) ) = change in water volume (m^3), mass conservation</br> d = {( w^2 + 4 tan(θ) V / L)^1/2 - w } / (2 tan(θ)) = mean water depth in channel segment (m) (if θ > 0)</br> d = V / (w * L) = mean water depth in channel segment (m) (if θ = 0)</br> Q = v * A_w = discharge of water (m3 / s)</br> v = n^-1 * R_h^2/3 * S^1/2 = section-averaged velocity (m / s), Manning's formula</br> v = ( g * Rh * S)^1/2 * LN( a * d / z_0) / κ = section-averaged velocity (m / s), Law of the Wall</br> R_h = A_w / P_w = hydraulic radius (m)</br> A_w = d * (w + (d * tan(θ))) = wetted cross-sectional area of a trapezoid (m2)</br> P_w = w + (2 * d / cos(θ)) = wetted perimeter of a trapezoid (m)</br> V_w = d^2 * ( L * tan(θ) ) + d * (L * w) = wetted volume of a trapezoidal channel (m) = wetted volume of a trapezoidal channel (m))
  • Model:Marsh column model  + (Many, see Mudd et al. (2009) ECSS v 82(3) 377-389)
  • Model:Equilibrium Calculator  + (Model governing equations express the consModel governing equations express the conservation of sand and mud in the floodplain and in the channel. Water depth and shear stress are computed with a Chezy formulation for a composite rectangular cross section. Total ((bedload plus suspended load) sand transport capacity is computed with an Engelund and Hansen-type of bulk load relation (see Parker, 2004). The mean annual sand load is determined by averaging the sand transport capacities over the flow duration curve. Channel migration rate is computed as in Eke et al. (2014). Overbank deposition rates are computed with the approach presented in Parker et al. (1996). </br></br>References</br>Eke, E., Parker, G. & Shimizu, Y. (2014). Numerical modeling of erosional and depositional bank processes in migrating river bends with self-formed width: Morphodynamics of bar push and bank pull, Journal of Geophysical Research: Earth Surface 119, 1455-1483.</br>Parker, G. (2004). 1D sediment transport morphodynamics with applications to rivers and turbidity currents e-book available at http://hydrolab.illinois.edu/people/parkerg/morphodynamics_e-book.htm .</br>Parker, G., Cui, Y., Imran, J. & Dietrich, W. E. (1996). Flooding in the lower Ok Tedi, Papua New Guinea due to the disposal of mine tailings and it’s amelioration, International Seminar on Recent trends of floods and their preventive measures, 20-21 June, Sapporo, Japan.r preventive measures, 20-21 June, Sapporo, Japan.)
  • Model:FVshock  + (Momentum and continuity differential equations are solved for each layer. Closure equations are solved for bed-load discharge and entrainment/deposition.)
  • 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-optNavier-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-optNavier-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-optNavier-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-optNavier-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 iNet 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 isNewton'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 conseNonlinear 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)