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List of results

Model:CAESAR Lisflood + (Hydrology: Spatially variable TOPMODEL 2d … Hydrology: Spatially variable TOPMODEL2d Hydrodynamic flow model: Using the Lisflood-FP (Bates et al., 2010) methodFluvial erosion and deposition over 9 different grainsizes - through 10 active layersLateral erosion: Based on radius of curvatureSlope processes: Landslides and soil creepSand Dunes: Ability to couple sand dune sub model with fluvial processes.and dune sub model with fluvial processes.)
Model:Inflow + (Hyperpycnal flow)
Model:Sakura + (Hyperpycnal flow)
Model:ILAMB + (ILAMB takes a set of observational data en … ILAMB takes a set of observational data encoded as CF-compliant netCDF files, extracts commensurate quantities from historical model results (ideally compliant with CMOR), and then subjects them to a gauntlet of statistical measures examining aspects of performance such as bias, RMSE, phase, interannual variability, and spatial distribution. This results in a hierarchical set of webpages which display and controls the flow of information.play and controls the flow of information.)
Model:IceFlow + (Ice deformation, ice sliding)
Model:Icepack + (Ice mass balance and viscous ice flow)
Model:WOFOST + (In WOFOST, crop growth is simulated on the … In WOFOST, crop growth is simulated on the basis of eco-physiological processes. The major processes are phenological development, light interception, CO2-assimilation, transpiration, respiration, partitioning of assimilates to the various organs, and dry matter formation. Further, the interaction with the soil is included in relation to soil moisture availability and (in more recent version) also soil N/P/K availability. Potential and water-limited growth is simulated dynamically, with a time step of one day. Nutrient-limited production is calculated either statically based on the QUEFTS approach (on the basis of soil characteristics and the water-limited production output) or dynamically using nutrient demand/supply at daily time steps.utrient demand/supply at daily time steps.)
Model:LateralVerticalIncision + (Incision of a transport-limited river in a … Incision of a transport-limited river in an alluvial substrate. Initial geometry is that of a steep channel with sediment transport capacity exceeding that of the input flux from upstream.The river randomly migrates left or right and needs to evacuate sediments mined from its bed and from the valley walls.Product of wall erosion not evacuated by the river are deposited as taluses at the foot of the walls.sited as taluses at the foot of the walls.)
Model:WILSIM + (It simulates rainfall runoff process as random storm events that fall on the initial topographic surface and flow downhill following steepest descent.)
Model:Kudryavtsev Model + (Kudryavtsev's parametrization treats a per … Kudryavtsev's parametrization treats a permafrost environment as a system of individual layers, each with their own thermal properties. Air, snow, vegetation, soil each are separate layers and their thermal (insulatory effects) are quantified from layer thickness, their heat capacity and conductivity.ess, their heat capacity and conductivity.)
Model:Dorado + (Lagrangian particle transport. See also: https://passah2o.github.io/dorado/background/index.html)
Model:VIC + (Land Cover and Soil Snow Model Meteorology (Inputs, Distributed Precip, and Snow/Elevation Bands) Frozen Soil (including Permafrost) Dynamic Lake/Wetland Model (new to 4.1.1) Flow Routing)
Model:Coastal Dune Model + (Linearized RANS Aeolian sediment transport Shear stress reduction by vegetation Plant growth (exponential relaxation))
Model:MRSAA + (Long-term channel bed evolution of mixed bedrock alluvial rivers under alluviation waves.)
Model:MARSSIM V4 + (MARSSIM is a grid based, iterative framewo … MARSSIM is a grid based, iterative framework that incorporates selectable modules, including: 1) flow routing, optionally including event-driven flow and evaporation from lakes in depression as a function of relative aridity (Matsubara et al., 2011). Runoff can be spatially uniform or variably distributed. Stream channel morphology (width and depth) is parameterized as a function of effective discharge; 2) bedrock weathering, following Equation 1; 3) spatially variable bedrock resistance to weathering and fluvial erosion, including 3-D stratigraphy and surficial coherent crusts; 4) erosion of bedrock channels using either a stream power relationship (Howard, 1994) or sediment load scour (Sklar and Dietrich, 2004; Chatanantavet and Parker, 2009); 5) sediment routing in alluvial channels including suspended/wash load and a single size of bedload. An optional sediment transport model simulates transport of multiple grain sizes of bedload with sorting and abrasion (Howard et al., 2016); 6) geometric impact cratering modeling optionally using a database of martian fresh crater morphology; 7) vapor sublimation from or condensation on the land surface, with options for rate control by the interaction between incident radiation, reflected light, and local topography; 8) mass wasting utilizing either the Howard (1994) or the Roering et al. (1999, 2001a) rate law. Bedrock can be optionally weathered and mass wasted assuming a critical slope angle steeper than the critical gradient for regolith-mantled slopes. Mass wasted debris is instantaneously routed across exposed bedrock, and the debris flux can be specified to erode the bedrock; 9) groundwater flow using the assumption of hydrostatic pressures and shallow flow relative to cell dimensions. Both recharge and seepage to the surface are modeled. Seepage discharge can be modeled to transport sediment (seepage erosion) or to weather exposed bedrock (groundwater sapping); 10) deep-seated mass flows using either Glen's law or Bingham rheology using a hydrostatic stress assumption; 11) eolian deposition and erosion in which the rate is determined by local topography; 12) lava flow and deposition from one or multiple vents. These model components vary in degree to which they are based on established theory or utilize heuristicon established theory or utilize heuristic)
Model:MODFLOW 6 + (MODFLOW 6 presently contains two types of … MODFLOW 6 presently contains two types of hydrologic models, the Groundwater Flow (GWF) Model and the Groundwater Transport (GWT) Model. The GWF Model for MODFLOW 6 is based on a generalized control-volume finite-difference (CVFD) approach in which a cell can be hydraulically connected to any number of surrounding cells. Users can define the model grid using1. a regular MODFLOW grid consisting of layers, rows, and columns,2. a layered grid defined by (x, y) vertex pairs, or3. a general unstructured grid based on concepts developed for MODFLOW-USG.For complex problems involving water-table conditions, an optional Newton-Raphson formulation, based on the formulations in MODFLOW-NWT and MODFLOW-USG, can be activated. The GWF Model is divided into "packages," as was done in previous MODFLOW versions. A package is the part of the model that deals with a single aspect of simulation. Packages included with the GWF Model include- those related to internal calculations of groundwater flow (discretization, initial conditions, hydraulic conductance, and storage),- stress packages (constant heads, wells, recharge, rivers, general head boundaries, drains, and evapotranspiration), and- advanced stress packages (streamflow routing, lakes, multi-aquifer wells, and unsaturated zone flow).An additional package is also available for moving water available in one package into the individual features of the advanced stress packages. The GWF Model also has packages for obtaining and controlling output from the model.The GWT model for MODFLOW 6 simulates three-dimensional transport of a single solute species in flowing groundwater. The GWT Model solves the solute transport equation using numerical methods and a generalized CVFD approach, which can be used with regular MODFLOW grids or with unstructured grids. The GWT Model is designed to work with most of the new capabilities released with the GWF Model, including the Newton flow formulation, unstructured grids, advanced packages, and the movement of water between packages. The GWF and GWT Models operate simultaneously during a MODFLOW 6 simulation to represent coupled groundwater flow and solute transport. The GWT Model can also run separately from a GWF Model by reading the heads and flows saved by a previously run GWF Model. The GWT model is also capable of working with the flows from another groundwater flow model, as long as the flows from that model can be written in the correct form to flow and head files.n the correct form to flow and head files.)
Model:GIPL + (Main purpose of the model is to calculate subsurface temperature profile, active layer depth and freeze-up day.)
Model:SISV + (Many 2D flow situation with simple boundary conditions (ie no inflow or outflow). suitable for lock/exchange simulation of gravity/turbidity currents or to study stability properties of stratified flow.)
Model:Wetland3P + (Marsh boundary erosion by waves Marsh boun … Marsh boundary erosion by wavesMarsh boundary progradation by accumulating sedimentsMudflat sediment erosion/deposition by wind wavesSediment exchange between mudflat and open oceanSediment exchange between mudflat and marsh platformOrganogenic sediment production on marsh platformenic sediment production on marsh platform)
Model:BEDLOAD + (Mass flux per unit width, dry mass of grains moving over the unit bed area, calculates the suspendable amount present in the moving bed)
Model:TopoFlow + (Modeled processes include: *Channelized fl … Modeled processes include:*Channelized flow (kinematic, diffusive or dynamic wave, all 1D and D8-based)*Overland flow*Snowmelt (degree-day or energy balance)*Icemelt (from valley glaciers using GC2D)*Meteorology (including precipitation, air temperature, shortwave and longwave radiation, etc.)*Evaporation (Priestley-Taylor or energy balance)*Infiltration (Green-Ampt, Smith-Parlange or Richards' 1D, multi-layer), *Shallow subsurface flow (Darcy, up to 6 layers)*Flow diversions (sinks, sources or canals)Flow diversions (sinks, sources or canals))
Model:SNAC + (Momentum balance in solid continuum under gravity and kinematic boundary conditions.)
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)