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A list of all pages that have property "Extended model description" with value "Diffusion of marine sediments". 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:YANGs  + (Calculates the total sediment transport rate in an open channel assuming a median bed grain size)
  • Model:SuspSedDensityStrat  + (Calculation of Density Stratification EffeCalculation of Density Stratification Effects Associated with Suspended Sediment in Open Channels.</br></br>This program calculates the effect of sediment self-stratification on the streamwise velocity and suspended sediment concentration profiles in open-channel flow.</br></br>Two options are given. Either the near-bed reference concentration Cr can be specified by the user, or the user can specify a shear velocity due to skin friction u*s and compute Cr from the Garcia-Parker sediment entrainment relation.rcia-Parker sediment entrainment relation.)
  • Model:SubsidingFan  + (Calculation of Sediment Deposition in a Fan-Shaped Basin, undergoing Piston-Style Subsidence)
  • Model:DeltaBW  + (Calculator for 1D Subaerial Fluvial Fan-DeCalculator for 1D Subaerial Fluvial Fan-Delta with Channel of Constant Width. This model assumes a narrowly channelized 1D fan-delta prograding into standing water. The model uses a single grain size D, a generic total bed material load relation and a constant bed resistance coefficient. The channel is assumed to have a constant width. Water and sediment discharge are specified per unit width. The fan builds outward by forming a prograding delta front with an assigned foreset slope. The code employs a full backwater calculation.code employs a full backwater calculation.)
  • Model:DeltaNorm  + (Calculator for 1D Subaerial Fluvial Fan-DeCalculator for 1D Subaerial Fluvial Fan-Delta with Channel of Constant Width. This model assumes a narrowly channelized 1D fan-delta prograding into standing water. The model uses a single grain size D, a generic total bed material load relation and a constant bed resistance coefficient. The channel is assumed to have a constant width. Water and sediment discharge are specified per unit width. The fan builds outward by forming a prograding delta front with an assigned foreset slope. The code employs the normal flow approximation rather than a full backwater calculation. rather than a full backwater calculation.)
  • Model:CarboCAT  + (CarboCAT uses a cellular automata to model horizontal and vertical distributions of carbonate lithofacies)
  • Model:ChesROMS  + (ChesROMS is a community ocean modeling sysChesROMS is a community ocean modeling system for the Chesapeake Bay region being developed by scientists in NOAA, University of Maryland, CRC (Chesapeake Research Consortium) and MD DNR (Maryland Department of Natural Resources) supported by the NOAA MERHAB program. The model is built based on the Rutgers Regional Ocean Modeling System (ROMS, with significant adaptations for the Chesapeake Bay.</br></br>The model is developed to provide a community modeling system for nowcast and forecast of 3D hydrodynamic circulation, temperature and salinity, sediment transport, biogeochemical and ecosystem states with applications to ecosystem and human health in the bay. Model validation is based on bay wide satellite remote sensing, real-time in situ measurements and historical data provided by Chesapeake Bay Program.</br></br>
  • Model:Cliffs  + (Cliffs features: Shallow-Water approximatCliffs features: </br>Shallow-Water approximation;</br>Use of Cartesian or spherical (lon/lat) coordinates;</br>1D and 2D configurations;</br>Structured co-located grid with (optionally) varying spacing;</br>Run-up on land;</br>Initial conditions or boundary forcing;</br>Grid nesting with one-way coupling;</br>Parallelized with OpenMP;</br>NetCDF format of input/output data.</br></br>Cliffs utilizes VTCS-2 finite-difference scheme and dimensional splitting as in (Titov and Synolakis, 1998), and reflection and inundation computations as in (Tolkova, 2014). </br></br>References: </br>Titov, V.V., and C.E. Synolakis. Numerical modeling of tidal wave runup. J. Waterw. Port Coast. Ocean Eng., 124(4), 157–171 (1998)</br>Tolkova E. Land-Water Boundary Treatment for a Tsunami Model With Dimensional Splitting.</br>Pure and Applied Geophysics, 171(9), 2289-2314 (2014)plied Geophysics, 171(9), 2289-2314 (2014))
  • Model:Barrier Inlet Environment (BRIE) Model  + (Coastal barrier model that simulates storm overwash and tidal inlets and estimates coastal barrier transgression resulting from sea-level rise.)
  • Model:Detrital Thermochron  + (Code for estimating long-term exhumation histories and spatial patterns of short-term erosion from the detrital thermochronometric data.)
  • Model:MRSAA  + (Code functionality and purpose may be founCode functionality and purpose may be found in the following references:</br></br>References</br># Zhang L., Parker, G., Stark, C.P., Inoue, T., Viparelli, V., Fu, X.D., and Izumi, N. 2015, "Macro-roughness model of bedrock–alluvial river morphodynamics", Earth Surface Dynamics, 3, 113–138.</br># Zhang, L., Stark, C.P., Schumer, R., Kwang, J., Li, T.J., Fu, X.D., Wang, G.Q., and Parker, G. 2017, "The advective-diffusive morphodynamics of mixed bedrock-alluvial rivers subjected to spatiotemporally varying sediment supply" (submitted to JGR)arying sediment supply" (submitted to JGR))
  • Model:Compact  + (Compact a sediment column)
  • Model:GRLP  + (Computes transient (semi-implicit numericaComputes transient (semi-implicit numerical) and steady-state (analytical and numerical) solutions for the long-profile evolution of transport-limited gravel-bed rivers. Such rivers are assumed to have an equilibrium width (following Parker, 1978), experience flow resistance that is proportional to grain size, evolve primarily in response to a single dominant "channel-forming" or "geomorphically-effective" discharge (see Blom et al., 2017, for a recent study and justification of this assumption and how it can be applied), and transport gravel following the Meyer-Peter and Müller (1948) equation. This combination of variables results in a stream-power-like relationship for bed-material sediment discharge, which is then inserted into a valley-resolving Exner equation to compute long-profile evolution.quation to compute long-profile evolution.)
  • Model:CruAKTemp  + (CruAKtemp is a python 2.7 package that is CruAKtemp is a python 2.7 package that is a data component which serves to provide onthly temperature data over the 20th century for permafrost modeling. The original dataset at higher resolution can be found here:</br></br>The geographical extent of this CRUAKtemp dataset has been reduced to greatly reduce the number of ocean or Canadian pixels. Also, the spatial resolution has been reduced by a factor of 13 in each direction, resulting in an effective pixel resolution of about 10km.</br>The data are monthly average temperatures for each month from January 1901 through December 2009.h from January 1901 through December 2009.)
  • Model:DFMFON  + (DFMFON stands for Delft3D-Flexible Mesh (DDFMFON stands for Delft3D-Flexible Mesh (DFM), and MesoFON (MFON) is an open-source software written in Python to simulate the Mangrove and Hydromorphology development mechanistically. We achieve that by coupling the multi-paradigm of the individual-based mangrove model MFON and process-based hydromorphodynamic model DFM.rocess-based hydromorphodynamic model DFM.)
  • Model:DHSVM  + (DHSVM is a distributed hydrology model thaDHSVM is a distributed hydrology model that was developed at the University of Washington more than ten years ago. It has been applied both operationally, for streamflow prediction, and in a research capacity, to examine the effects of forest management on peak streamflow, among other things.nt on peak streamflow, among other things.)
  • 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: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:FallVelocity  + (Fall velocity for spheres. Uses formulation of Dietrich (1982))
  • 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.)