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A list of all pages that have property "Extended model description" with value "Compact a sediment column". 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:CICE  + (CICE is a computationally efficient model CICE is a computationally efficient model for simulating the growth, melting, and movement of polar sea ice. Designed as one component of coupled atmosphere-ocean-land-ice global climate models, today’s CICE model is the outcome of more than two decades of community collaboration in building a sea ice model suitable for multiple uses including process studies, operational forecasting, and climate simulation.ional forecasting, and climate simulation.)
  • Model:CLUMondo  + (CLUMondo is based on the land systems apprCLUMondo is based on the land systems approach. Land systems are socio-ecological systems that reflect land use in a spatial unit in terms of land cover composition, spatial configuration, and the management activities employed. The precise definition of land systems depends on the scale of analysis, the purpose of modelling, and the case study region. In contrast to land cover classifications the role of land use intensity and livestock systems are explicitly addressed. Each land system can be characterized in terms of the fractional land covers.<br>Land systems are characterized based on the amount of forest in the landscape mosaic and the management type ranging from swidden cultivation to permanent cultivation and plantations.vation to permanent cultivation and plantations.)
  • Model:CAESAR Lisflood  + (Caesar Lisflood is a geomorphological / LaCaesar Lisflood is a geomorphological / Landscape evolution model that combines the Lisflood-FP 2d hydrodynamic flow model (Bates et al, 2010) with the CAESAR geomorphic model to simulate erosion and deposition in river catchments and reaches over time scales from hours to 1000's of years.</br></br>Featuring:</br>Landscape evolution model simulating erosion and deposition across river reaches and catchments</br></br>A hydrodynamic 2D flow model (based on the Lisflood FP code) that conserves mass and partial momentum. (model can be run as flow model alone)</br></br>designed to operate on multiple core processors (parallel processing of core functions)</br></br>Operates over a wide range to spatial and time scales (1km2 to 1000km2, <1year to 1000+ years)</br></br>Easy to use GUI2, <1year to 1000+ years) Easy to use GUI)
  • Model:PsHIC  + (Calculate the hypsometric integral for each pixel at the catchment. Each pixel is considered a local outlet and the hypsometric integral is calculated according to the characteristics of its contributing area.)
  • Model:OceanWaves  + (Calculate wave-generated bottom orbital velocities from measured surface wave parameters. Also permits calculation of surface wave spectra from wind conditions, from which bottom orbital velocities can be determined.)
  • Model:SUSP  + (Calculates non-equilibrium suspended load transport rates of various size-density fractions in the bed)
  • Model:SVELA  + (Calculates shear velocity associated with grain roughness)
  • Model:BEDLOAD  + (Calculates the bedload transport rates and weights per unit area for each size-density. NB. Bedload transport of different size-densities is proportioned according to the volumes in the bed.)
  • Model:SETTLE  + (Calculates the constant terminal settling velocity of each size-density fraction's median size from Dietrich's equation.)
  • Model:ENTRAINH  + (Calculates the critical Shields Theta for the median size of a distribution and then calculates the critical shear stress of the ith, jth fraction using a hiding function)
  • Model:ENTRAIN  + (Calculates the critical shear stress for entrainment of the median size of each size-density fraction of a bed using Yalin and Karahan formulation, assuming no hiding)
  • Model:FLDTA  + (Calculates the flow velocity and depth based on the gradually varied flow equation of an open channel.)
  • Model:TURB  + (Calculates the gaussian or log-gaussian distribution of instantaneous shear stresses on the bed, given a mean and coefficient of variation.)
  • Model:LOGDIST  + (Calculates the logrithmic velocity distribution called from TRCALC)
  • 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: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: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).)