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List of results

Model:GNE + (Natural, agricultural, atmospheric, and di … Natural, agricultural, atmospheric, and direct human (sewage and P detergents) inputs; effect of hydrological functioning; generalized loss of nutrients in soils and groundwater; loss in rivers, reservoirs, and through consumptive water withdrawals (irrigation).onsumptive water withdrawals (irrigation).)
Model:NearCoM + (NearCoM predicts surface waves and wave-induced nearshore processes such as nearshore circulation, sediment transport and morphological changes.)
Model:SUSP + (Non-equilibrium suspended load transport in a turbulent low-concentration flow)
Model:OptimalCycleID + (None, the module analyses strata produced by all depositional processes)
Model:OrderID + (None. Code tests for the presence of order in strata that could arise from allocyclic or autocyclic processes)
Model:GEOMBEST++Seagrass + (Note: See also the GEOMBEST++Seagrass Users Guide, section 4 Seagrass wave attenuation and bay depth effects Equilibrium profile & barrier transgression Sea level rise Back-barrier deposition Marsh expansion/contraction Marsh wave erosion)
Model:MarshPondModel + (Organic accretion Inorganic accretion (function of elevation and distance from channels) Pond formation Pond expansion Pond deepening Pond drainage Bank slumping (soil diffusion) Subsidence due to ditches)
Model:1D Particle-Based Hillslope Evolution Model + (Overall, the module simulates a particle-b … Overall, the module simulates a particle-based model of hillslope evolution in 1D.The module contains several scripts and functions, the most important of which are the following.(1) zrp.m is the script wherein the parameters are set and from which the following functions are called.(2) init_x.m is the function which generates an initial profile for the hillslope.(3) make_moves.m is the function which samples the probabilistic dynamics.(4) calc_rates.m is the function which determines the rates at which the particles are moving.In addition to these, there are the following.(5) perturb.m is the function which implements the hillslope perturbation and is called by the main script.(6) calc_flux.m and calc_fluxes.m are the functions which infer fluxes along the hillslope.ns which infer fluxes along the hillslope.)
Model:OTEQ + (Physical transport: Advection, Dispersion, Inflow, Transient Storage, and Settling. Chemistry: Precipitation/Dissolution, Sorption/Desorption, Oxidation/Reduction, aqueous complexation, and acid-base reactions)
Model:GEOtop + (Please have a look at: http://www.slideshare.net/GEOFRAMEcafe/geotop-2008?type=powerpoint.)
Model:CarboLOT + (Population ecology represented by diffuse competition Lotke-Volterra calculus, cellular automaton, cellular stochastic models. Sediment transport arbitrated by slopes and wave energy pickup Bioerosion scaled to the seafloor presence of skeletal material)
Model:DLBRM + (Precipitation enters the snowpack, if pres … Precipitation enters the snowpack, if present, and is then available as snowmelt, depending mainly on air temperature and solar radiation. Snowmelt and rainfall partly infiltrate infiltrate into the soil and partly run off directly to surface storage, depending upon the moisture content of the soil. Infiltration is high if the soil is dry, and surface runoff is high if the soil is saturated. Soil moisture evaporates or is transpired by vegetation, depending on the types of vegetation, the season, solar radiation, air temperature, humidity, and wind speed. The remainder percolates into deeper basin storages that feed surface storage through interflows and groundwater flows. Generally, these supplies are high if the soil and groundwater storages are large. Finally, there is a flow into surface storage from the upstream cell, which is routed, along with all the other flows into surface storage, through the cell into the next downstream cell.gh the cell into the next downstream cell.)
Model:HydroTrend + (Precipitation is generated by a climate ro … Precipitation is generated by a climate routine within the model. Snow accumulation and melt,glacier growth and ablation, surface runoff, and groundwater evaporation, retention and recharge.Long and short term sediment discharge is solved by an empirical relation.charge is solved by an empirical relation.)
Model:TopoFlow-Evaporation-Priestley Taylor + (Priestley-Taylor method of estimating losses due to evaporation)
Model:FuzzyReef + (Process: # carbonate productivity and depo … Process:# carbonate productivity and deposition# winnowing# reef development# carbonate depositional faciesModel determines these through five deterministic and fuzzy steps:# data input# data fuzzification# fuzzy rule analysis# aggregation of results# defuzzification# aggregation of results # defuzzification)
Model:ParFlow + (Processes like: *Saturated subsurface flow. *Variably-saturated subsurface flow. *Integrated overland flow. *Land-energy budget. *Shallow heat transport. *Bio-geochemistry (plant/water interactions). *Correlated, Gaussian random field generators.)
Model:CREST + (Processes represented by CREST are: Canopy interception, excess rain and infiltration water, runoff, evapotranspiration)
Model:GEOMBEST-Plus + (Processes represented: ''Note: See also th … Processes represented:''Note: See also the GEOMBEST+ Users Guide'', section 4 '''4.1 Equilibrium profile''' '''4.2: Sea Level Change''' '''4.3: Initial Morphology/Stratigraphy''' '''4.4: Depth-Dependant Shoreface Response Rate''' '''4.5: Backbarrier Deposition''' '''4.6: Bay and Marsh Infilling''' .5: Backbarrier Deposition''' '''4.6: Bay and Marsh Infilling''' )
Model:Shoreline + (Processes: # Wave properties derived from … Processes:# Wave properties derived from wind speed, wind angle and equations that describe a "fully-developed" sea state.# Longshore sediment transport as modeled by the CERC or Kamphuis formulas.# Conservation of mass for sediment.# Simple methods to model cross-shore sediment transport.s to model cross-shore sediment transport.)
Model:GSSHA + (Processes: *Rainfall: gage with nearest ne … Processes:*Rainfall: gage with nearest neighbor or inverse distance-squared weighting, radar.*Interception: empirical model.*Infiltration: Green & Ampt, Green & Ampt with redistribution, three-layer Green & Ampt, or Richard's equation.*Overland runoff: 2-D finite volume diffusive wave with overland flow dykes and pothole lakes.*Channel routing: 1-D dendritic finite-volume diffusive wave with culverts, on-channel lakes, rule curves, rating curves, scheduled releases.*Groundwater: 2-D finite-difference with wells and various boundary conditions.*Overland erosion: three alternative source equations, raindrop impact, erosion limits, deposition, arbitrary size classes.*Channel sediment transport: advection-diffusion for fines, stream power for sands.*Fate and transport of conservative and non-conservativeconstituents in soil, overland, and channelsservative constituents in soil, overland, and channels)
Model:ROMS + (ROMS resolved fast (gravity waves) and slow (Rossby waves) dynamics. Hydrostatic approximation but there is a nonhydrostatic version of ROMS.)
Model:ChesROMS + (ROMS resolved fast (gravity waves) and slow (Rossby waves) dynamics. Hydrostatic approximation but there is a nonhydrostatic version of ROMS.)
Model:CBOFS2 + (ROMS resolved fast (gravity waves) and slow (Rossby waves) dynamics. Hydrostatic approximation but there is a nonhydrostatic version of ROMS.)
Model:UMCESroms + (ROMS resolved fast (gravity waves) and slow (Rossby waves) dynamics. Hydrostatic approximation but there is a nonhydrostatic version of ROMS.)
Model:SVELA + (Reduced hydraulic radius, shear velocity, bed shear stress)

Model:SEDPAK + (Refer to SEDPAK Manual http://sedpak.geol.sc.edu/documentation.html)

Model:GrainHill + (Regolith disturbance; rock weathering; rock dissolution; baselevel lowering; fault slip)
Model:GLUDM + (Regression based interpolation. Different regression equation type can be used. Land use area in each grid cell is the dependent variable and global population is the independent variable.)
Model:Glimmer-CISM + (Represented processes: * Ice Thickness Evolution * Temperature Solver * Basal Boundary Condition * Isostatic Adjustment)
Model:GFlex + (Response of a lithospheric plate of nonuniform elastic thickness to an applied surface load)
Model:OTTER + (River erosion and channel width adjustment. Additional: sediment transport.)
Model:OverlandFlow + (Routes a hydrograph (changing water discharges through time) across a gridded model terrain. At each location, water discharge is calculated at each time step as a function of surface roughness, local water depths and water surface slopes.)
Model:GOLEM + (Runoff, hillslope and channel sediment transport.)
Model:SBEACH + (SBEACH is an empirically based numerical m … SBEACH is an empirically based numerical model for estimating beach and dune erosion due to storm waves and water levels. The magnitude of cross-shore sand transport is empirically related wave energy dissipation per unit water volume in the main portion of the surf zone. Direction of transport is dependent on deep water wave steepness and sediment fall speed.er wave steepness and sediment fall speed.)
Model:STWAVE + (STWAVE simulates depth-induced wave refrac … STWAVE simulates depth-induced wave refraction and shoaling, current- induced refraction and shoaling, depth- and steepness-induced wave breaking, diffraction, wind-wave growth, and wave-wave interaction and whitecapping that redistribute and dissipate energy in a growing wave field. dissipate energy in a growing wave field.)
Model:SWAN + (SWAN accounts for the following physics: * … SWAN accounts for the following physics:* Wave propagation in time and space, shoaling, refraction due to current and depth, frequency shifting due to currents and non-stationary depth.* Wave generation by wind.* Three- and four-wave interactions.* Whitecapping, bottom friction and depth-induced breaking.* Wave-induced set-up.* Propagation from laboratory up to global scales.* Transmission through and reflection (specular and diffuse) against obstacles.* Diffraction.diffuse) against obstacles. * Diffraction.)
Model:SWMM + (SWMM accounts for various hydrologic proce … SWMM accounts for various hydrologic processes that produce runoff from urban areas. These include:* time-varying rainfall* evaporation of standing surface water* snow accumulation and melting* rainfall interception from depression storage* infiltration of rainfall into unsaturated soil layers* percolation of infiltrated water into groundwater layers* interflow between groundwater and the drainage system* nonlinear reservoir routing of overland flow.linear reservoir routing of overland flow.)
Model:Auto marsh + (Salt marsh erosion by wind waves. The pre … Salt marsh erosion by wind waves. The presence of natural heterogeneities is an integral characteristic of salt marshes and needs to be account for, as local feedbacks could influence the large scale morphodynamic evolution of these wetlands. Herein, we use field data and a cellular automata model to investigate salt marsh response to wave action under different wave energy conditions and frequency of extreme events.onditions and frequency of extreme events.)
Model:Barrier Inlet Environment (BRIE) Model + (Sea-level rise, alongshore sediment transport, and tidal-driven sediment transport on barrier islands, resulting in storm-overwash, tidal inlet formation, migration, and closure, and barrier transgression)
Model:MCPM + (Sediment advection/diffusion Sediment settling Bed erosion Soil creep Organic sediment production Increase in effective settling due to vegetation Increase in drag due to vegetation)
Model:Sun fan-delta model + (Sediment routing in alluvial channels, deposition, erosion, avulsion)
Model:Erode + (Sediment transport (parameterized with slope and contributing area grids), rainfall, uplift, base-level lowering.)
Model:TwoPhaseEulerSedFoam + (Sediment transport under steady channel flow, oscillatory flow (sinusoidal and Stokes 2nd order waves))
Model:River Erosion Model + (Sediment transport, channel bed aggradatio … Sediment transport, channel bed aggradation/degradation, fluvial bank erosion (excess shear stress) and bank failure (mass wasting). See Lammers and Bledsoe (2018) and Lammers and Bledsoe (2019) for more information: https://www.sciencedirect.com/science/article/pii/S0022169418307303https://www.sciencedirect.com/science/article/pii/S0301479718314968.com/science/article/pii/S0301479718314968)
Model:Marsh column model + (Sedimentation, compaction, root growth and death, carbon deposition, carbon decay)
Model:PHREEQC + (See 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:FUNWAVE + (See manual)
Model:SPHYSICS + (See manual)
Model:REF-DIF + (See manual version3)
Model:GEOMBEST++ + (See the GEOMBEST++ Users Guide, section 4. Equilibrium profile Sea Level Change Depth-Dependant Shoreface Response Rate Backbarrier Deposition Bay and Marsh Infilling (including wave edge erosion))
Model:WRF-Hydro + (See the WRF-Hydro Technical Description ht … See the WRF-Hydro Technical Description https://ral.ucar.edu/projects/wrf_hydro/technical-description-user-guide"First the 1-dimensional (1D) column land surface model calculates the vertical fluxes of energy (sensible and latent heat, net radiation) and moisture (canopy interception, infiltration, infiltration-excess, deep percolation) and soil thermal and moisture states. Infiltration excess, ponded water depth and soil moisture are subsequently disaggregated from the 1D LSM grid, typically of 1–4 km spatial resolution, to a highresolution, typically 30–100 m, routing grid using a time-step weighted method (Gochis and Chen, 2003) and are passed to the subsurface and overland flow terrain-routing modules. In typical U.S. applications, land cover classifications for the 1D LSMs are provided by the USGS 24-type Land Use Land Cover product or MODIS Modified IGBP 20-category land cover product (see WRF/WPS documentation); soil classifications are provided by the 1-km STATSGO database (Miller and White, 1998); and soil hydraulic parameters that are mapped to the STATSGO soil classes are specified by the soil analysis of Cosby et al. 20 (1984). Other land cover and soil type classification datasets can be used with WRF-Hydro but users are responsible for mapping those categories back to the same categories as used in the USGS or MODIS land cover and STATSGO soil type datasets. The WRF model pre-processing system (WPS) also provides a fairly comprehensive database of land surface data that can be used to set up the Noah and Noah-MP land surface models. It is possible to use other land cover and soils datasets.Then subsurface lateral flow in WRF-Hydro is calculated prior to the routing of overland flow to allow exfiltration from fully saturated grid cells to be added to the infiltration excess calculated by the LSM. The method used to calculate the lateral flux of the saturated portion of the soil column is that of Wigmosta et al. (1994) and Wigmosta and Lettenmaier (1999), implemented in the Distributed Hydrology Soil Vegetation Model (DHSVM). It calculates a quasi-3D flow, which includes the effects of topography,saturated soil depth, and depth-varying saturated hydraulic conductivity values. Hydraulic gradients are approximated as the slope of the water table between adjacent grid cells in either the steepest descent or in both x- and y-directions. The flux of water from one cell to its down-gradient neighbor on each timestep is approximated as a steady-state solution. The subsurface flux occurs on the coarse grid of the LSM while overland flow occurs on the fine grid.Next, WRF-Hydro calcuates the water table depth according to the depth of the top of the saturated soil layer that is nearest to the surface. Typically, a minimum of four soil layers are used in a 2-meter soil column used in WRF-Hydro but this is not a strict requirement. Additional discretization permits improved resolution of a time-varying water table height and users may vary the number and thickness of soil layers in the model namelist described in the Appendices A3, A4, and A5.Then overland flow is defined. The fully unsteady, spatially explicit, diffusive wave formulation of Julien et al. (1995-CASC2D) with later modification by Ogden (1997) is the current option for representing overland flow, which is calculated when the depth of water on a model grid cell exceeds a specified retention depth. The diffusive wave equation accounts for backwater effects and allows for flow on adverse slopes (Ogden, 1997). As in Julien et al. (1995), the continuity equation for an overland flood wave is combined with the diffusive wave formulation of the momentum equation. Manning’s equation is used as the resistance formulation for momentum and requires specification of an overland flow roughness parameter. Values of the overland flow roughness coefficient used in WRF-Hydro were obtained from Vieux (2001) and were mapped to the existing land cover classifications provided by the USGS 24-type land-cover product of Loveland et al. (1995) and the MODIS 20-type land cover product, which are the same land cover classification datasets used in the 1D Noah/Noah-MP LSMs.Additional modules have also been implemented to represent stream channel flow processes, lakes and reservoirs, and stream baseflow. In WRF-Hydro v5.0 inflow into the stream network and lake and reservoir objects is a one-way process. Overland flow reaching grid cells identified as ‘channel’ grid cells pass a portion of the surface water in excess of the local ponded water retention depth to the channel model. This current formulation implies that stream and lake inflow from the land surface is always positive to the stream or lake element. There currently are no channel or lake loss functions where water can move from channels or lakes back to the landscape. Channel flow in WRF-Hydro is represented by one of a few different user-selected methodologies described below. Water passing into and through lakes and reservoirs is routed using a simple level pool routing scheme. Baseflow to the stream network is represented using a conceptual catchment storage-discharge bucket model formulation (discussed below) which obtains “drainage” flow from the spatially-distributed landscape. Discharge from buckets is input directly into the stream using an empirically-derived storage-discharge relationship. If overland flow is active, the only water flowing into the buckets comes from soil drainage. This is because the 21 overland flow scheme will pass water directly to the channel model. If overland flow is switched off and channel routing is still active, then surface infiltration excess water from the land model is collected over the pre-defined catchment and passed into the bucket as well. Each of these process options are enabled through the specification of options in the model namelist file."on of options in the model namelist file.")