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A list of all pages that have property "Extended model description" with value "Fall velocity for spheres. Uses formulation of Dietrich (1982)". Since there have been only a few results, also nearby values are displayed.

Showing below up to 26 results starting with #1.

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  • Model:DR3M  + (DR3M is a watershed model for routing storDR3M is a watershed model for routing storm runoff through a Branched system of pipes and (or) natural channels using rainfall as input. DR3M provides detailed simulation of storm-runoff periods selected by the user. There is daily soil-moisture accounting between storms. A drainage basin is represented as a set of overland-flow, channel, and reservoir segments, which jointly describe the drainage features of the basin. This model is usually used to simulate small urban basins. Interflow and base flow are not simulated. Snow accumulation and snowmelt are not simulated.cumulation and snowmelt are not simulated.)
  • Model:DROG3D  + (DROG3D tracks passive drogues with given harmonic velocity field(s) in a 3-D finite element mesh)
  • Model:Dakotathon  + (Dakota is a software toolkit, developed atDakota is a software toolkit, developed at Sandia National Laboratories, that provides an interface between models and a library of analysis methods, including support for sensitivity analysis, uncertainty quantification, optimization, and calibration techniques. Dakotathon is a Python package that wraps and extends Dakota’s file-based user interface. It simplifies the process of configuring and running a Dakota experiment, and it allows a Dakota experiment to be scripted. Any model written in Python that exposes a Basic Model Interface (BMI), as well as any model componentized in the CSDMS modeling framework, automatically works with Dakotathon. Currently, six Dakota analysis methods have been implemented from the much larger Dakota library:</br></br>* vector parameter study,</br>* centered parameter study,</br>* multidim parameter study,</br>* sampling,</br>* polynomial chaos, and</br>* stochastic collocation.omial chaos, and * stochastic collocation.)
  • Model:CMIP  + (Data component processed from the CRU-NCEPData component processed from the CRU-NCEP Climate Model Intercomparison Project - 5, also called CMIP 5. Data presented include the mean annual temperature for each gridcell, mean July temperature and mean January temperature over the period 1902 -2100. This dataset presents the mean of the CMIP5 models, and the original climate models were run for the representative concentration pathway RCP 8.5.resentative concentration pathway RCP 8.5.)
  • Model:DeltaRCM  + (DeltaRCM is a parcel-based cellular flux rDeltaRCM is a parcel-based cellular flux routing and sediment transport model for the formation of river deltas, which belongs to the broad category of rule-based exploratory models. It has the ability to resolve emergent channel behaviors including channel bifurcation, avulsion and migration. Sediment transport distinguishes two types of sediment: sand and mud, which have different transport and deposition/erosion rules. Stratigraphy is recorded as the sand fraction in layers.</br>Best usage of DeltaRCM is the investigation of autogenic processes in response to external forcings.rocesses in response to external forcings.)
  • Model:Demeter  + (Demeter is an open source Python package tDemeter is an open source Python package that was built to disaggregate projections of future land allocations generated by an integrated assessment model (IAM). Projected land allocation from IAMs is traditionally transferred to Earth System Models (ESMs) in a variety of gridded formats and spatial resolutions as inputs for simulating biophysical and biogeochemical fluxes. Existing tools for performing this translation generally require a number of manual steps which introduces error and is inefficient. Demeter makes this process seamless and repeatable by providing gridded land use and land cover change (LULCC) products derived directly from an IAM—in this case, the Global Change Assessment Model (GCAM)—in a variety of formats and resolutions commonly used by ESMs.ats and resolutions commonly used by ESMs.)
  • Model:WPHydResAMBL  + (Depth-Discharge and Bedload Calculator, uses: # Wright-Parker formulation for flow resistance (without stratification correction) # Ashida-Michiue formulation for bedload transport.)
  • Model:DepDistTotLoadCalc  + (Depth-Discharge and Total Load Calculator, uses: # Wright-Parker formulation for flow resistance, # Ashida-Michiue formulation for bedload transport, # Wright-Parker formulation (without stratification) for suspended load.)
  • Model:Mosartwmpy  + (Derived from MOSART-WM (Model for Scale AdDerived from MOSART-WM (Model for Scale Adaptive River Transport with Water Management), mosasrtwmpy is a large-scale river-routing Python model used to study riverine dynamics of water, energy, and biogeochemistry cycles across local, regional, and global scales. The water management component represents river regulation through reservoir storage and release operations, diversions from reservoir releases, and allocation to sectoral water demands. The model allows an evaluation of the impact of water management over multiple river basins at once (global and continental scales) with consistent representation of human operations over the full domain. of human operations over the full domain.)
  • Model:Diffusion  + (Diffusion of marine sediments)
  • Model:FlowDirectorDinf  + (Directs flow by the D infinity method (Tarboton, 1997). Each node is assigned two flow directions, toward the two neighboring nodes that are on the steepest subtriangle. Partitioning of flow is done based on the aspect of the subtriangle.)
  • Model:FlowDirectorMFD  + (Directs flow by the multiple flow directioDirects flow by the multiple flow direction method. Each node is assigned multiple flow directions, toward all of the N neighboring nodes that are lower than it. If none of the neighboring nodes are lower, the location is identified as a pit. Flow proportions can be calculated as proportional to slope or proportional to the square root of slope, which is the solution to a steady kinematic wave.s the solution to a steady kinematic wave.)
  • Model:Dorado  + (Dorado is a Python package for simulating passive Lagrangian particle transport over flow-fields from any 2D shallow-water hydrodynamic model using a weighted random walk methodology.)
  • Model:DynEarthSol3D  + (DynEarthSol3D (Dynamic Earth Solver in ThrDynEarthSol3D (Dynamic Earth Solver in Three Dimensions) is a flexible, open-source finite element code that solves the momentum balance and the heat transfer in Lagrangian form using unstructured meshes. It can be used to study the long-term deformation of Earth's lithosphere and problems alike.of Earth's lithosphere and problems alike.)
  • Model:ECSimpleSnow  + (ECSimpleSnow is a simple snow model that employs an empirical algorithm to melt or accumulate snow based on surface temperature and precipitation that has fallen since the previous analysis step.)
  • Model:EF5  + (EF5 was created by the Hydrometeorology anEF5 was created by the Hydrometeorology and Remote Sensing Laboratory at the University of Oklahoma. The goal of EF5 is to have a framework for distributed hydrologic modeling that is user friendly, adaptable, expandable, all while being suitable for large scale (e.g. continental scale) modeling of flash floods with rapid forecast updates. Currently EF5 incorporates 3 water balance models including the Sacramento Soil Moisture Accouning Model (SAC-SMA), Coupled Routing and Excess Storage (CREST), and hydrophobic (HP). These water balance models can be coupled with either linear reservoir or kinematic wave routing.inear reservoir or kinematic wave routing.)
  • Model:ELCIRC  + (ELCIRC is an unstructured-grid model desigELCIRC is an unstructured-grid model designed for the effective simulation of 3D baroclinic circulation across river-to-ocean scales. It uses a finite-volume/finite-difference Eulerian-Lagrangian algorithm to solve the shallow water equations, written to realistically address a wide range of physical processes and of atmospheric, ocean and river forcings. The numerical algorithm is low-order, but volume conservative, stable and computationally efficient. It also naturally incorporates wetting and drying of tidal flats. ELCIRC has been extensively tested against standard ocean/coastal benchmarks, and is starting to be applied to estuaries and continental shelves around the world. and continental shelves around the world.)
  • Model:Ecopath with Ecosim  + (Ecopath with Ecosim (EwE) is an ecologicalEcopath with Ecosim (EwE) is an ecological modeling software suite for personal computers. EwE has three main components: Ecopath – a static, mass-balanced snapshot of the system; Ecosim – a time dynamic simulation module for policy exploration; and Ecospace – a spatial and temporal dynamic module primarily designed for exploring impact and placement of protected areas. The Ecopath software package can be used to:</br>*Address ecological questions;</br>*Evaluate ecosystem effects of fishing;</br>*Explore management policy options;</br>*Evaluate impact and placement of marine protected areas;</br>*Evaluate effect of environmental changes.*Evaluate effect of environmental changes.)
  • Model:Erode  + (Erode is a raster-based, fluvial landscape evolution model. The newest version (3.0) is written in Python and contains html help pages when running the program through the CSDMS Modeling Tool CMT (
  • Model:Erode-D8-Local  + (Erode-D8-Global is a raster, D8-based fluvial landscape evolution model (LEM))
  • Model:LuSS  + (Exposures to heat and sunlight can be simulated and the resulting signals shown. For a detailed description of the underlying luminescence rate equations, or to cite your use of LuSS, please use Brown, (2020).)
  • Model:SINUOUS  + (Extended description for SINUOUS - MeanderExtended description for SINUOUS - Meander Evolution Model. The basic model simulates planform evolution of a meandering river starting from X,Y coordinates of centerline nodes, with specification of cross-sectional and flow parameters. If the model is intended to simulate evolution of an existing river, the success of the model can be evaluated by the included area between the simulated and the river centerline. In addition, topographic evolution of the surrounding floodplain can be simulated as a function of existing elevation, distance from the nearest channel, and time since the channel migrated through that location. Profile evolution of the channel can also be modeled by backwater flow routing and bed sediment transport relationships. and bed sediment transport relationships.)
  • Model:FACET  + (FACET is a Python tool that uses open sourFACET is a Python tool that uses open source modules to map the floodplain extent and derive reach-scale summaries of stream and floodplain geomorphic measurements from high-resolution digital elevation models (DEMs). Geomorphic measurements include channel width, stream bank height, floodplain width, and stream slope.<br>Current tool functionality is only meant to process DEMs within the Chesapeake Bay and Delaware River watersheds. FACET was developed to batch process 3-m resolution DEMs in the Chesapeake Bay and Delaware River watersheds. Future updates to FACET will allow users to process DEMs outside of the Chesapeake and Delaware basins.<br>FACET allows the user to hydrologically condition the DEM, generate the stream network, select one of two options for stream bank identification, map the floodplain extent using a Height Above Nearest Drainage (HAND) approach, and calculate stream and floodplain metrics using three approaches. stream and floodplain metrics using three approaches.)
  • Model:FUNWAVE  + (FUNWAVE is a phase-resolving, time-stepping Boussinesq model for ocean surface wave propagation in the nearshore.)
  • Model:FVCOM  + (FVCOM is a prognostic, unstructured-grid, FVCOM is a prognostic, unstructured-grid, finite-volume, free-surface, 3-D primitive equation coastal ocean circulation model developed by UMASSD-WHOI joint efforts. The model consists of momentum, continuity, temperature, salinity and density equations and is closed physically and mathematically using turbulence closure submodels. The horizontal grid is comprised of unstructured triangular cells and the irregular bottom is preseented using generalized terrain-following coordinates. The General Ocean Turbulent Model (GOTM) developed by Burchard’s research group in Germany (Burchard, 2002) has been added to FVCOM to provide optional vertical turbulent closure schemes. FVCOM is solved numerically by a second-order accurate discrete flux calculation in the integral form of the governing equations over an unstructured triangular grid. This approach combines the best features of finite-element methods (grid flexibility) and finite-difference methods (numerical efficiency and code simplicity) and provides a much better numerical representation of both local and global momentum, mass, salt, heat, and tracer conservation. The ability of FVCOM to accurately solve scalar conservation equations in addition to the topological flexibility provided by unstructured meshes and the simplicity of the coding structure has make FVCOM ideally suited for many coastal and interdisciplinary scientific applications.interdisciplinary scientific applications.)
  • Model:Zscape  + (Finite difference approximations are greatFinite difference approximations are great for modeling the erosion of landscapes. A paper by Densmore, Ellis, and Anderson provides details on application of landscape evolution models to the Basin and Range (USA) using complex rulesets that include landslides, tectonic displacements, and physically-based algorithms for hillslope sediment transport and fluvial transport. The solution given here is greatly simplified, only including the 1D approximation of the diffusion equation. The parallel development of the code is meant to be used as a class exercisede is meant to be used as a class exercise)
  • Model:SIMSAFADIM  + (Finite element process based simulation model for fluid flow, clastic, carbonate and evaporate sedimentation.)
  • Model:SoilInfiltrationGreenAmpt  + (For each time step, this component calculates an infiltration rate for a given model location and updates surface water depths. Based on the Green-Ampt method, it follows the form of Julien et al., 1995.)
  • Model:Mocsy  + (Fortran 95 routines to model the ocean carFortran 95 routines to model the ocean carbonate system (mocsy). Mocsy take as input dissolved inorganic carbon CT and total alkalinity AT, the only two tracers of the ocean carbonate system that are unaffected by changes in temperature and salinity and conservative with respect to mixing, properties that make them ideally suited for ocean carbon models. With basic thermodynamic equilibria, mocsy compute surface-ocean pCO2 in order to simulate air-sea CO2 fluxes. The mocsy package goes beyond the OCMIP code by computing all other carbonate system variables (e.g., pH, CO32-, and CaCO3 saturation states) and by doing so throughout the water column.d by doing so throughout the water column.)
  • Model:FuzzyReef  + (FuzzyReef is a three-dimensional (3D) numeFuzzyReef is a three-dimensional (3D) numerical stratigraphic model that simulates the development of microbial reefs using fuzzy logic (multi-valued logic) modeling methods. The flexibility of the model allows for the examination of a large number of variables. This model has been used to examine the importance of local environmental conditions and global changes on the frequency of reef development relative to the temporal and spatial constraints from Upper Jurassic (Oxfordian) Smackover reef datasets from two Alabama oil fields.</br></br>The fuzzy model simulates the deposition of reefs and carbonate facies through integration of local and global variables. Local-scale factors include basement relief, sea-level change, climate, latitude, water energy, water depth, background sedimentation rate, and substrate conditions. Regional and global-scale changes include relative sea-level change, climate, and latitude.e sea-level change, climate, and latitude.)
  • Model:GENESIS  + (GENESIS calculates shoreline change producGENESIS calculates shoreline change produced by statial and temporal differences in longshore sand transport produced by breaking waves. The shoreline evolution portion of the numerical modeling system is based on one-line shoreline change theory, which assumes that the beach profile shape remains unchanged, allowing shoreline change to be described uniquely in terms of the translation of a single point (for example, Mean High Water shoreline) on the profile.Mean High Water shoreline) on the profile.)
  • Model:GEOMBEST  + (GEOMBEST is a morphological-behaviour model that simulates the evolution of coastal morphology and stratigraphy resulting from changes in sea level and sediment volume within the shoreface, barrier, and estuary.)
  • Model:GEOMBEST++  + (GEOMBEST++ is a morphological-behaviour moGEOMBEST++ is a morphological-behaviour model that simulates the evolution of coastal morphology and stratigraphy resulting from changes in sea level and sediment volume within the shoreface, barrier, and estuary. GEOMBEST++ builds on previous iterations (i.e. GEOMBEST+) by incorporating the effects of waves into the backbarrier, providing a more physical basis for the evolution of the bay bottom and introducing wave erosion of marsh edges.d introducing wave erosion of marsh edges.)
  • Model:GEOMBEST++Seagrass  + (GEOMBEST++Seagrass is a morphological-behaGEOMBEST++Seagrass is a morphological-behaviour model that simulates the evolution of coastal morphology and stratigraphy resulting from changes in sea level and sediment volume within the shoreface, barrier, and estuary. GEOMBEST++Seagrass builds on previous iterations (i.e. GEOMBEST, GEOMBEST+, and GEOMBEST++) by incorporating seagrass dynamics into the back-barrier bay.agrass dynamics into the back-barrier bay.)
  • Model:GEOtop  + (GEOtop accommodates very complex topographGEOtop accommodates very complex topography and, besides the water balance integrates all the terms in the surface energy balance equation. For saturated and unsaturated subsurface flow, it uses the 3D Richards’ equation. An accurate treatment of radiation inputs is implemented in order to be able to return surface temperature.</br></br>The model GEOtop simulates the complete hydrological balance in a continuous way, during a whole year, inside a basin and combines the main features of the modern land surfaces models with the distributed rainfall-runoff models.</br></br>The new 0.875 version of GEOtop introduces the snow accumulation and melt module and describes sub-surface flows in an unsaturated media more accurately. With respect to the version 0.750 the updates are fundamental: the codex is completely eviewed, the energy and mass parametrizations are rewritten, the input/output file set is redifined.</br></br>GEOtop makes it possible to know the outgoing discharge at the basin's closing section, to estimate the local values at the ground of humidity, of soil temperature, of sensible and latent heat fluxes, of heat flux in the soil and of net radiation, together with other hydrometeorlogical distributed variables. Furthermore it describes the distributed snow water equivalent and surface snow temperature.</br></br>GEOtop is a model based on the use of Digital Elevation Models (DEMs). It makes also use of meteorological measurements obtained thought traditional instruments on the ground. Yet, it can also assimilate distributed data like those coming from radar measurements, from satellite terrain sensing or from micrometeorological models.ensing or from micrometeorological models.)
  • Model:GIPL  + (GIPL(Geophysical Institute Permafrost LaboGIPL(Geophysical Institute Permafrost Laboratory) is an implicit finite difference one-dimensional heat flow numerical model. The GIPL model uses the effect of snow layer and subsurface soil thermal properties to simulate ground temperatures and active layer thickness (ALT) by solving the 1D heat diffusion equation with phase change. The phase change associated with freezing and thawing process occurs within a range of temperatures below 0 degree centigrade, and is represented by the unfrozen water curve (Romanovsky and Osterkamp 2000). The model employs finite difference numerical scheme over a specified domain. The soil column is divided into several layers, each with distinct thermo-physical properties. The GIPL model has been successfully used to map permafrost dynamics in Alaska and validated using ground temperature measurements in shallow boreholes across Alaska (Nicolsky et al. 2009, Jafarov et al. 2012, Jafarov et al. 2013, Jafarov et al. 2014).Jafarov et al. 2013, Jafarov et al. 2014).)
  • Model:GSFLOW  + (GSFLOW was a coupled model based on the inGSFLOW was a coupled model based on the integration of the U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS, Leavesley and others, 1983) and the U.S. Geological Survey Modular Groundwater Flow Model(MODFLOW-2005, Harbaugh, 2005). It was developed to simulate coupled groundwater/surface-water flow in one or more watersheds by simultaneously simulating flow across the land surface, within subsurface saturated and unsaturated materials, and within streams and lakes.d materials, and within streams and lakes.)
  • Model:AlluvStrat  + (Generates alluvial stratigraphy by channelGenerates alluvial stratigraphy by channel migration and avulsion. Channel migration is handled via a random walk. Avulsions occur when the channel superelevates. Channels can create levees. Post-avulsion channel locations chosen at random, or based on topography. chosen at random, or based on topography.)
  • Model:Glimmer-CISM  + (Glimmer is an open source (GPL) three-dimeGlimmer is an open source (GPL) three-dimensional thermomechanical ice sheet model, designed to be interfaced to a range of global climate models. It can also be run in stand-alone mode. Glimmer was developed as part of the NERC GENIE project ( It's development follows the theoretical basis found in Payne (1999) and Payne (2001). Glimmer's structure contains numerous software design strategies that make it maintainable, extensible, and well documented.tainable, extensible, and well documented.)
  • Model:GSDCalculator  + (Grain Size Distribution Statistics Calculator)
  • Model:GSSHA  + (Gridded Surface Subsurface Hydrologic AnalGridded Surface Subsurface Hydrologic Analysis (GSSHA) is a grid-based two-dimensional hydrologic model. Features include 2D overland flow, 1D stream flow, 1D infiltration, 2D groundwater, and full coupling between the groundwater, vadoze zone, streams, and overland flow. GSSHA can run in both single event and long-term modes. The fully coupled groundwater to surfacewater interaction allows GSSHA to model both Hortonian and Non-Hortonian basins.</br>New features of version 2.0 include support for small lakes and detention basins, wetlands, improved sediment transport, and an improved stream flow model.</br>GSSHA has been successfully used to predict soil moistures as well as runoff and flooding. moistures as well as runoff and flooding.)
  • Model:WBM-WTM  + (Gridded water balance model using climate Gridded water balance model using climate input forcings that calculate surface and subsurface runoff and ground water recharge for each grid cell. The surface and subsurface runoff is propagated horizontally along a prescribed gridded network using Musking type horizontal transport.k using Musking type horizontal transport.)
  • Model:TopoFlow-Data-HIS  + (HIS is an internet-based system for sharing hydrologic data. It is comprised of databases and servers, connected through web services, to client applications, allowing for the publication, discovery and access of data.)
  • Model:HYPE  + (HYPE is a semi-distributed hydrological moHYPE is a semi-distributed hydrological model for water and water quality. It simulates water and nutrient concentrations in the landscape at the catchment scale. Its spatial division is related to catchments and sub-catchments, land use or land cover, soil type and elevation. Within a catchment the model will simulate different compartments; soil including shallow groundwater, rivers and lakes. It is a dynamical model forced with time series of precipitation and air temperature, typically on a daily time step. Forcing in the form of nutrient loads is not dynamical. Example includes atmospheric deposition, fertilizers and waste water.c deposition, fertilizers and waste water.)
  • Model:EstuarineMorphologyEstimator  + (Here, we present a Python tool that includHere, we present a Python tool that includes a comprehensive set of relations that predicts the hydrodynamics, bed elevation and the patterns of channels and bars in mere seconds. Predictions are based on a combination of empirical relations derived from natural estuaries, including a novel predictor for cross-sectional depth distributions, which is dependent on the along-channel width profile. Flow velocity, an important habitat characteristic, is calculated with a new correlation between depth below high water level and peak tidal flow velocity, which was based on spatial numerical modelling. Salinity is calculated from estuarine geometry and flow conditions. The tool only requires an along-channel width profile and tidal amplitude, making it useful for quick assessments, for example of potential habitat in ecology, when only remotely-sensed imagery is available.only remotely-sensed imagery is available.)
  • Model:HexWatershed  + (HexWatershed is a mesh independent flow direction model for hydrologic models. It can be run at both regional and global scales. The unique feature of HexWatershed is that it supports both structured and unstructured meshes.)
  • Model:Spbgc  + (High order two dimensional simulations of turbidity currents using DNS of incompressible Navier-Stokes and transport equations.)
  • Model:TransportLengthHillslopeDiffuser  + (Hillslope diffusion component in the styleHillslope diffusion component in the style of Carretier et al. (2016, ESurf), and Davy and Lague (2009).</br></br>Works on regular raster-type grid (RasterModelGrid, dx=dy). To be coupled with FlowDirectorSteepest for the calculation of steepest slope at each timestep.lation of steepest slope at each timestep.)
  • Model:TaylorNonLinearDiffuser  + (Hillslope evolution using a Taylor Series Hillslope evolution using a Taylor Series expansion of the Andrews-Bucknam formulation of nonlinear hillslope flux derived following following Ganti et al., 2012. The flux is given as:</br></br>qs = KS ( 1 + (S/Sc)**2 + (S / Sc)**4 + .. + (S / Sc)**2(n - 1) )</br></br>where K is is the diffusivity, S is the slope, Sc is the critical slope, and n is the number of terms. The default behavior uses two terms to produce a flux law as described by Equation 6 of Ganti et al., (2012).bed by Equation 6 of Ganti et al., (2012).)
  • Model:DepthDependentTaylorDiffuser  + (Hillslope sediment flux uses a Taylor SeriHillslope sediment flux uses a Taylor Series expansion of the Andrews-Bucknam formulation of nonlinear hillslope flux derived following following Ganti et al., 2012 with a depth dependent component inspired Johnstone and Hilley (2014). The flux :math:`q_s` is given as:</br>q_s = DSH^* ( 1 + (S/S_c)^2 + (S/Sc_)^4 + .. + (S/S_c)^2(n-1) ) (1.0 - exp( H / H^*)</br></br>where :math:`D` is is the diffusivity, :math:`S` is the slope, :math:`S_c` is the critical slope, :math:`n` is the number of terms, :math:`H` is the soil depth on links, and :math:`H^*` is the soil transport decay depth. The default behavior uses two terms to produce a slope dependence as described by Equation 6 of Ganti et al., (2012).This component will ignore soil thickness located at non-core nodes. soil thickness located at non-core nodes.)