Property:Extended model description
From CSDMS
This is a property of type Text.
D
Dakota 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:
* vector parameter study,
* centered parameter study,
* multidim parameter study,
* sampling,
* polynomial chaos, and
* stochastic collocation. +
C
Data 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. +
D
DeltaRCM 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.
Best usage of DeltaRCM is the investigation of autogenic processes in response to external forcings. +
Demeter 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. +
W
Depth-Discharge and Bedload Calculator, uses:
# Wright-Parker formulation for flow resistance (without stratification correction)
# Ashida-Michiue formulation for bedload transport. +
D
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. +
M
Derived 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. +
D
F
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. +
Directs 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. +
D
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. +
DynEarthSol3D (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. +
DynQual is a high-spatio-temporal-resolution surface water quality model, which can be used to simulate water temperature; concentrations of total dissolved solids to represent salinity pollution; biological oxygen demand to represent organic pollution; and fecal coliform as a coarse indicator for pathogen pollution. +
E
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. +
EF5 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. +
ELCIRC 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. +
Ecopath 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:
*Address ecological questions;
*Evaluate ecosystem effects of fishing;
*Explore management policy options;
*Evaluate impact and placement of marine protected areas;
*Evaluate effect of environmental changes. +
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 (https://csdms.colorado.edu/wiki/Help:Ccaffeine_GUI). +
Erode-D8-Global is a raster, D8-based fluvial landscape evolution model (LEM) +
L
