Property:Describe input parameters model

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%ocean climate parameters Wave Height (m) Wave Period (s) Wave Climate Asymmetry (-) Wave Climate High-Angle Proportion (-) Tidal Amplitude (m) Tidal Angular Frequency (rad/s) %barrier model parameters Sea-level Rise Rate (m/yr) Coastal Plain Slope (-) Critical Barrier Width (m) Critical Barrier Height (m) Maximum Overwash Flux (m3/m/yr) %inlet parameters Minimum Inlet Spacing (m) Inlet Aspect Ratio (-) Inlet Equilibrium Velocity (m/s) Grain size (m) %back-barrier parameters Back-barrier depth (m) Manning Roughness (sm^-(1/3)) Fraction Marsh Cover (-)  +
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'''Input Data needed''': required and optional (based on project needs and data availability): Spatial data (GIS maps) - to be brought into GRASS GIS ''Basic requirements'': * DEM (Digital Elevation Model) ''Optional'': * Stream network, stream gage locations * Meteorological station locations * Vegetation and soil type, LAI * Road network, landcover/landuse (eg. residential, agricultural, open space, etc...) * Snow redistribution Timeseries data - natural and human induced inputs as text files: ''Basic requirements'': * Daily Precipitation (Meters) * Daily Maximum Temperature (°C) * Daily Minimum Temperature (°C) ''Optional'': * Day length (seconds) * Duration of rainfall (hours) * Zone and seasonal scaling of LAI (unitless) * Incoming longwave radiation (KJ/(meters2)/day) * Incoming direct shortwave radiation (KJ/(meters2)/day) * Incoming diffuse shortwave radiation (KJ/(meters2)/day) * Nitrogen deposition as NO3 (kg/(meters2)/day) * Nitrogen deposition as NH4 (kg/(meters2)/day) * Incoming direct PAR radiation (KJ/(meters2)/day) * Incoming diffuse PAR radiation (KJ/(meters2)/day) * Relative humidity (Range (0-1)) * Mean daytime temperature (°C) * Night time temperature at sundown (°C) * Soil temperature (°C) * Vapour pressure deficit (Pa) * Wind speed (meters/sec) * Carbon dioxide (CO2) (parts per million/year)  +
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(1) Daily climate data including precipitation, temperature, and (optional) potential evapotranspiration (python dictionary object), (2) A model configuration file (.yaml; settings for the HydroCNHS and ABM models), and (3) ABM modules (.py; customized human models).  +
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(1) Digital Elevation Model (DEM) & Bed Elevation (2) Soil texture or hydrologic properties (3) Geology texture or hydrologic properties (4) Land cover and vegetation parameters  +
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(1) the length along a square cell face (dx), (2) 2 of the following 3 arrays describing the domain: (a) the water depth (depth); (b) the water stage (stage); (c) the topography (topography), (3) either the x and y components of water velocity (u and v) or the x and y components of the water discharge (qx and qy), (4) and some optional parameters that include values related to the random walk weighting scheme, travel time calculations, and even the distance and direction assumptions related to the grid.  +
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(See: http://adcirc.org) * Grid and Boundary Information File (fort.14) - required * Model Parameter and Periodic Boundary Condition File (fort.15) - required * Passive Scalar Transport Input File (fort.10) - conditional * Density Initial Condition Input File (fort.11) – conditional * Nodal Attributes File (fort.13) – conditional * Non-periodic Elevation Boundary Condition File (fort.19) - conditional * Non-periodic, Normal Flux Boundary Condition File (fort.20) - conditional * Single File Meteorological Forcing Input (fort.22) - conditional * Multiple File Meterological Forcing Input (fort.200,…..) - conditional * Wave Radiation Stress Forcing File (fort.23) - conditional * Self Attraction/Earth Load Tide Forcing File (fort.24) - conditional * 2DDI Hot Start Files (fort.67 or fort.68) – conditional  +
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*Elastic thickness map (ASCII) *Load map (ASCII) *dx, dy *Material properties **Young's modulus **Poisson's ratio **density of load **density of infilling material (optional; this can also be done via iteration for more complicated situations Only the elastic thickness and load need to be actual input files. The rest (scalars) can be specified at the command line interface.   +
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*Input topography OR initial relative coverage of high-resistance vegetation community *Annual duration of high-flow events *Initial surface-water level *Water surface slope during high-flow events *Bed sediment diffusion coefficient (for erosion by gravity) *Critical shear stress for entrainment of bed sediment (model uses a flocculent sediment transport relation) and corresponding entrainment function * Scaling factor affecting maximum peat accretion rate of high-flow-resistance community * Scaling factor affecting equilibrium elevation of high-flow-resistance community * Scaling factor for vegetative propagation/below-ground biomass expansion rates * Scaling factor for lateral velocities * Effected suspended sediment settling velocity * Soil bulk density * Optional: Mean annual evapotranspiration in each vegetation community * Optional: Vertical profiles of vegetation stem architecture and diameter and drag coefficient relationships for vegetation communities (otherwise model will use default high-flow-resistance and low-flow-resistance communities = ridge and slough vegetation communities in the Everglades)   +
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1) barrier3d-parameters.yaml: yaml-formatted text file containing initial values for all static and dynamic variables 2) barrier3d-elevation.npy: Initial interior elevation grid 3) barrier3d-storms.npy: Stochastically generated sequence of storms (generated by randomly sampling from a list of synthetic storms) 4) barrier3d-dunes.npy: Initial height of dune cells 5) barrier3d-growthparam.npy: Alongshore varying growth rates for the dune domain If desired, (3-5) can be generated within the model run script to create unique conditions for each run - e.g., instead of using the same storm history by drawing from the a single barrier3d-storms.npy file, a new storm series can be stochastically generated for each run.  +
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1. Flood inundation extent layer (shapefile or feature in a Geodatabase) 2. Digital Elevation Model (DEM; ArcGIS-supported raster formats)  +
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2D bathymetric grid, offshore boundary wave height period and direction  +
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A NetCDF file, the name of the variable that you want to extract, and (optionally) a lat/lon position in which you would like to extract data from that variable  +
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A configuration file specifying models and variables to confront against benchmark data sets.  +
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A grid with initial elevation. Hydrologic time step and geomorphic time step Hydrologic paramters: average rainfall intensity, rainall duration, interstorm period, infiltration capacity, porosity, hydraulic conductivity, aquifer depth, specific yield, PET Geomorphic parameters: baselevel lowering rate, diffusivity for hillslope processes, weathering rate, parameters for erosion and sediment transport model  +
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A long list of coefficient depending on the differential equations that are being solved and on the chosen closure relationships.  +
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A self-explanatory file "input.inp" should be set before running the code. Flow and particle parameters such as Reynolds number, Peclet number, particle settling velocity(ies) can be set here. Also, number of grid nodes, domain length, output file flags and simulation runtime, etc should be entered.  +
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A two-component structure of a soil moisture accounting (SMA) module and a routing or unit hydrograph module.  +
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AR2 model parameters, as defined in wrapper script  +
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Air Temperature : seasonal range of air temperature Snow parameters: winter-averaged Snow Thickness and Snow Density, thermal conductivity of snow Vegetation parameters: Vegetation height, vegetation thermal conductivity Soil properties: volumetric water content, heat capacity in frozen and thawed state  +
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All input for PHREEQC version 3 is defined in keyword data blocks, each of which may have a series of identifiers for specific types of data.; See 'Description of Input and Examples for PHREEQC Version 3 - A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations'.  +
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All input parameters are defined in a well-documented and commented Matlab parameter file. Only a Digital Elevation Model, preferable in GeoTIFF format is needed.  +
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All input that LISFLOOD requires are either in map or table format.  +
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Arc ASCII grids of topography and non-erodible basement. Program will create input grids also.  +
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Area schematization (mesh, bathymetry/topography, characteristics of structures, open boundary locations), process selection, initial conditions, forcings (boundary,atmospheric), time step, time frame, numerical settings, output options  +
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Backend: ROMSBuilder is written in Python and the main classes are ComponentBuilder.py and ROMSComponentBuilder.py. Default inputs are provided through roms_builder_input.cfg file. The three required input set on the tab dialogs for creating the new ROMS component are, Header file path, this is the path to your header (*.h) file. The other option is to enter value into the tab dialogs. ex. /home/csdms/sims/roms_builder/upwelling Application name, this should be the name of your new ROMS Application and must be specified in UPPERCASE. ex. UPWELLING New component name, this is the name of the new component. As bocca cannot have two components with the same name, every time you create a new component the name should be unique.  +
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Basic input requires: Habitat area, Biomass in habitat area, Production/biomass, Consumption/biomass, Ecotrophic efficiency, Production/consumption, Unassimilated consuption, detritus import  +
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Basic parameters for a sediment transport model (grain size, efficiency coefficients, coefficient of friction, wave friction factor, density, etc) most are in there using values from the literature, but easily modified. Flow. (Sinusoidal, steady or combined flows can be created, as well as natural flow data can be used.) A random "turbulent" flow is imposed - this needs a magnitude. Jump fraction - given distance sediment moves with flow  +
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Bathymetry Incident Wave Spectra Current Fields  +
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Because this is a toolkit for model building, there are no set input parameters. Rather, developers use the code to create their own models, with their own unique inputs. The ModelParameterDictionary tool provides formatted ASCII input for model parameters. The I/O component also handles input of digital elevation models (DEMs) in standard ArcInfo ASCII format.  +
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Bed shear stress distribution and derivitives, Sediment transport parameters, Hiding function option (Komar / Egaziaroff), Saltation height option (Bridge / Einstein), Grain size and density distribution control parameters, Grain density values, Weight proportion of available bed material in each size-density fraction, Initial boundary condition (clear water inflow / equilibrium condition / well or not erosion or diposition in the dead of the reach)  +
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Binary channel mask imagery (georeferencing optional). Imagery through time can be input to assess planform changes.  +
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Boundary Reynolds Number and Grain Size  +
Boundary Reynolds Number, D50 of the bed, Shields Theta for D50 size fraction, median diameters of the other bed size fractions  +
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Channel geometry SLR rate Reference sediment concentration Parameters for sediment transport, organic accretion, pond dynamics, ditch dynamics  +
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Channel geometry (e.g. bank height/angle, width, longitudinal profile); bed grain size distribution; discharge time series; sediment input time series; bank soil parameters (critical shear stress and cohesion)  +
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Cross section width Channel length Tidal range Mud erodability Mud critical shear stress Settling velocity Creep coefficient for unvegetated mud Creep coefficient for vegetated mud (marsh) Boundary suspended sediment concentration (during flood) Maximum vegetation biomass Minimum elevation for vegetation growth Maximum elevation for vegetation growth Parameters for organic sediment production Rate of relative sea level rise  +
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Cross-sectional average flow velocity and water depth  +
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Currently set up to modify the initial conditions (run time, wave height, current velocity, current dir., etc.) from within the source code.  +
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DEM as ascii grid (output from arcGIS), Rainfall data as a space separated ascii file (straightforward list), Inputs of water/sediment in an ascii file. Other single value parameter inputs for grainsize, flow parameters, slope processes etc..  +
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DEM raster and Hexagon shapefile, stream segment threshold  +
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DEM, National Hydrography Dataset Plus High Resolution  +
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DEM, land-use/land-cover, stream channels, precipitation, soils, aquifer maps. These index maps are used to classify catchment parameters related to overland/channel flow, soil/aquifer hydraulic properties, soil erodibility, contaminant loadings, etc. Model setup is greatly enhanced by the use of the US Dept. of Defense Watershed Modeling System (WMS), which serves as an interface between GSSHA and Arc/Info  +
DEM, rainfall, temperature  +
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DEM: A DEM in *.flt binary format (as generated by ARC GIS) Search Window Radius: The distance around the centre cell in which to evaluate the means (in pixels). Similarity Window Radius: The distance around neighbouring cells over which to calculate means (in pixels). Degree of filtering: The weighting for the gaussian kernel controlling the strength of filtering and therefore the decay of weights as a function of distance from the centre of the kernel.  +
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Daily average solar radiation for location (at surface).  +
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Daily climate input (temperatures, precipitation depth, duration, Tp, Ip, wind info); slope input (distance downslope, slope at points, profile width, aspect); soil input (infiltration & erodibility parameters, soil layer depth, texture, organic matter, CEC, etc.; cropping/management input - plant growth parameters, residue decomposition parameters, tillage operation parameters, residue management parameters, dates of operations (planting, harvest, tillage, residue management, etc.); irrigation input - type of irrigation, date(s) of irrigation, application rates, etc.; channel parameters input - channel shape, width, slope, roughness, etc.; impoundment parameters input - type of impoundment (1. Drop Spillway 2. Perforated Riser 3. Culvert 4. Emergency Spillway or Open Channel 5. Rock Fill Check Dam 6. Filter Fence / Straw Bales / Trash Barriers 7. User Specified Stage-Discharge Relationship, parameter inputs specific to each impoundment type; watershed structure file - describes how all hillslopes, channels, and impoundments in a watershed are linked.  +
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Daily precipitation, daily evapotranspiration, and short-interval precipitation are required. Short-interval discharge is required for the optimization option and to calibrate the model. These time series are read from a WDM file. Roughness and hydraulics parameters and sub-catchment areas are required to define the basin. Six parameters are required to calculate infiltration and soil-moisture accounting. Up to three rainfall stations may be used. Two soil types may be defined. A total of 99 flow planes, channels, pipes, reservoirs, and junctions may be used to define the basin.  +
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Data needs for HSPF can be extensive. HSPF is a continuous simulation program and requires continuous data to drive the simulations. At a minimum, continuous rainfall records are required to drive the runoff model and additional records of evapotranspiration, temperature, and solar intensity are desirable. A large number of model parameters can be specified although default values are provided where reasonable values are available. HSPF is a general-purpose program and special attention has been paid to cases where input parameters are omitted. In addition, option flags allow bypassing of whole sections of the program where data are not available.  +
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Data that are used for TELEMAC model runs are: a. Initial condition: A ‘CONSTANT ELEVATION’ is prescribed throughout the model. This initializes the free surface elevation at a constant value supplied by the keyword “INTIAL ELEVATION''. b. Bathymetry. c. Wind Data. d. Tide Data other parameters are given according to the modules are used  +
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Described in text files usr_input.txt and usr_IC.txt. Used to specify flow parameters (Re, Vs, ...), geometrical parameters (Lx, Ly, ...) and solver parameters (Nx, Ny)  +
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Description: ''Note: See also the GEOMBEST+ Users Guide'', section 6<br> A minimum of four excel files are required to run a GEOMBEST-Plus simulation: an “erosionresponse” file, an “accretionresponse” file, a “run#” file, and a “tract#” file. If the simulation involves a single coastal tract then the files must be titled “erosionresponse”, “accretionreponse”, “run1” file and “tract1.” Quasi-3D simulations require additional files with sequential numbers. For example a simulation involving 3 tracts within a littoral cell also requires a “run2” and “run3” file as well as a “tract2” and “tract3” file. These files must conform to the strict format outlined in the following sections. If you are running multiple simulations of the same tract, you can use the multiple input and output files to keep track of your simulations. Caution: Note that the run# and tract# files will have the same name (tract1, run1, etc., see below) for all simulations and so attention to organization is critical. We suggest noting the changes made in each simulation in a readme file and then moving this file, as well as the input and output folders for each simulation, to a unique folder having an identifying name. Our convention, for example, has been to name each run with using the date and run number on that date as the identifier, e.g., the first simulation run on February 20, 2010 would be titled 02_20_10_01and would be placed in a folder having this name. '''6.1: “erosionresponse” file'''<br> '''6.2: “accretionresponse” file'''<br> '''6.3: “run#” file'''<br> '''6.4: “tract#” file'''  +
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Digital elevation model  +
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Discharge, channel properties  +
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Does not require any input data, but if desired, model can run from files describing sea level and/or the elevations of an existing marsh.  +
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Domain dimensions and cell size (regular 2D grid). Initial condition. Locations and rates of sediment and water influxes. Subsidence pattern and rate. Sea level curve. (Presently all boundary conditions are constant, but could vary in space and time in future versions)  +
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Domain size/length/spacing, time to run, timestep, hillslope response timescale, baselevel lowering rate, bed erodibility, block erodibility, bed critical shear stress, block critical shear stress, block delivery coefficient, initial block size, roughness length scale, channel width, mean discharge, discharge variability, and data recording time interval.  +
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Drainage basin properties (river networks, hypsometry, relief, reservoirs). biophysical parameters (temperature, precipitation, evapo-transpiration, and glacier characteristics).  +
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Elevation file and a mask file designating boundary cells, active cells, and inactive cells  +
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Excel files. See User's Guide and Moore et al., 2010  +
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Excel sheet. User can change initial geometry data (slope at top of breach, initial height of breach face, initial bed slope in quasi-horizontal region, initial location of breach face, initial length of quasi-horizontal region); sediment grain size distribution; sediment properties (bed porosity, breach porosity, bed friction coefficient, wall friction coefficient, submerged specific gravity); and time evolution (time step, number of time steps, initial number of nodes in horizontal, print interval, calculation time).  +
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Flow velocity, friction slope, hydraulic radius, and bed roughness  +
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For a complete explanation of input parameters please see the WRF-Hydro Technical Description https://ral.ucar.edu/projects/wrf_hydro/technical-description-user-guide WRF-Hydro requires a number of input files describing the model domain, parameters, initial conditions, hydrologic routing, and when run in a standalone configuration, meteorological forcing files.  +
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For every cell in the watershed grid, daily precipitation and air temperature, solar isolation, elevation, slope, flow direction, land use, depths (cm) of USZ (Upper Soil Zone) and LSZ (Lower Soil Zone), available water capacity (%) of USZ and LSZ, soil texture, permeability (cm/h) of USZ and LSZ, Manning's coefficient values, and daily flows (Changsheng He and Thomas E. Croley II, 2007).  +
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For sources and sinks, the following information must be provided, each on its own line: ID (source pixel ID as long integer; calendar index) nd (number of durations and flow rates) durations (vector of durations in minutes) flow rates (vector of discharges in m^3/sec) For canals, the following information must be provided, again with each entry on a separate line in the text file: ID1 (start pixel ID as long integer; calendar index) ID2 (end pixel ID as long integer; calendar index) time (travel time between ID1 and ID2, in minutes) nd (number of durations and flow rates) durations (vector of durations in minutes) flow rates (vector of discharges in m^3/sec) Canals are currently assumed to be lossless, so that the flow rates at the two ends are identical, but lagged by the travel time. The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 0 Method name: Standard Use sources: 0 Treynor_sources.txt (N/A) Use sinks: 0 Treynor_sinks.txt (N/A) Use canals: 0 Treynor_canals.txt (N/A)  +
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GCM initial conditions files (netcdf) files describe initial state of atmosphere up ~km 140  +
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GeoTiff, ESRI ASCII digital elevation model  +
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Geometric parameters of river reach and erosion capacity.  +
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Geometric parameters on delta shapes derived from satellite data. To run this code, the following shape files are required: • network shapefile, containing the river network extracted from satellite imagery • island shapefile, containing the land masses or islands of the delta • patch shapefile, containing the outline of channels  +
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Geometrical parameters: Nx, Ny, Nz, X1, X2, Y1, Y2, Z1, Z2; Flow parameters: Reynolds, Peclet, Viscosity Ratio; Flags: resume simulation, add wave perturbation.  +
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Given a time series of streamflow, additional data variables, and constituent concentration, LOADEST assists the user in developing a regression model for the estimation of constituent load (calibration).  +
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Global Parameter File user_def.h File Meteorological Forcing Files Soil Parameter File Vegetation Library File Vegetation Parameter File (Optional) Initial State File (Optional) Elevation Band File (Optional) Lake/Wetland Parameter File  +
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Grain size and density  +
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Gridded elevation, aquifer base elevation. Hydraulic conductivity, porosity, recharge.  +
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HILLSLOPE_LENGTH: length of hillslope, in meters NUMBER_OF_NODES: number of model nodes (initially) EROSION_RATE: slope-normal erosion rate in m/yr THRESHOLD_SLOPE: threshold slope angle (m/m) THROW_RATE: fault throw rate, meters per year FAULT_DIP: fault dip angle, degrees SEISMIC_INTERVAL: Time interval between earthquakes, in years RUN_DURATION: duration of run in years DT: time step duration in years OPT_ERO_VAR: option for time variation in erosion rate AMPLITUDE: amplitude of sinusoidal variation (m/yr) PERIOD: period of sinusoidal variation (yr) PHASE: phase offset for sinusoidal variation (degrees) DEL18O_FILENAME: name of file containing oxygen isotope curve DEL18O_POWER: exponent MIN_ERORATE: OPT_PLOT: option for plotting OPT_EPS_PLOT: option for output to .eps file PLOT_INTERVAL: time interval for plotting, in years  +
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INTEGER NXPROB INTEGER TIMESTEPS double precision DIFFUSION double precision DELX,DELT * PARAMETER (NXPROB=1000), c dimension of problem grid * PARAMETER (TIMESTEPS=50000), c number of time steps * PARAMETER (DIFFUSION=1d-3), c metres/year - a very high diffusion value * PARAMETER (DELX=0.1d0), c grid spacing in metres * PARAMETER (DELT=1d0), c time step in years  +
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In XML format, the following groups of parameters are specified: simulation control group: total model time, time step, damping, etc. plugins: elasticity, viscoelasticity, temperature solver, etc. domain description group: domain size, element numbers, etc. initial and boundary conditions group  +
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Initial bathymetry Boundary conditions Time series of waves, wind, storm surges Various hydrodynamics and sedimentary parameters  +
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Initial beach profiles, time series of storm wave heights, periods, and storm water levels  +
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Initial bottom configuration, wind and tide characteristics, sea level rise rate, water column sediment concentration at the boundary.  +
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Initial coastline curve (array of xy pairs), depth of closure, a time series of wind speeds and angles, sediment grainsize, coastal bluff heights, a variety of configuration flags  +
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Initial elevation (z) grid with cell type (A)  +
Initial elevation file. File specifying boundary conditions, run time, process options, and parameter values.  +
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Initial land surface (several built-in options), number of timesteps, DEM grid dimensions, DEM grid cell dimensions, R = "geomorphic" rainrate (m/yr), U=uplift rate (mm/yr), BLR = base-level lowering rate (mm/yr), Kf="erodibility coefficient (m^3/yr)^(1-m), m = area/discharge exponent, n = slope exponent, p = area-discharge exponent, toggles for different types of boundary conditions (e.g. periodic), DEM georeferencing info (bounding box, pixel geometry, etc.)  +
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Initial topography. Initial subsurface layering, if any. Properties of existing rocks/sediments. Sea-level change curve. Sources of flow and sediment, sources of wave action, boundary conditions Externally imposed vertical tectonics as a function of horizontal position and time  +
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Input data are observations of precipitation, air temperature and estimates of potential evapotranspiration.  +
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Input file: channel width and depth, a few others  +
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Input files for eSCAPE are based on YAML syntax. domain: definition of the unstructured grid containing the vtk grid filename and the associated field (here called Z) as well as the flow direction method to be used flowdir that takes an integer value between 1 (for SFD) and 12 (for Dinf) and the boundary conditions (bc: ‘flat’, ‘fixed’ or ‘slope’) time: the simulation time parameters defined by start, end, tout (the output interval) and dt (the internal time-step). Follows the optional forcing conditions: sea: the sea-level declaration with the relative sea-level position (m) and the sea-level curve which is a file containing 2 columns (time and sea-level position). climatic & tectonic have the same structure with a sequence of events defined by a starting time (start) and either a constant value (uniform) or a map. Then the parameters for the surface processes to simulate: spl: for the stream power law with a unique parameter Ke representing the The erodibility coefficient which is scale-dependent and its value depend on lithology and mean precipitation rate, channel width, flood frequency, channel hydraulics. It is worth noting that the coefficient m and n are fixed in this version and take the value 0.5 & 1 respectively. diffusion: hillslope, stream and marine diffusion coefficients. hillslopeK sets the simple creep transport law which states that transport rate depends linearly on topographic gradient. River transported sediment trapped in inland depressions or internally draining basins are diffused using the coefficient (streamK). The marine sediment are transported based on a diffusion coefficient oceanK. The parameter maxIT specifies the maximum number of steps used for diffusing sediment during any given time interval dt. Finally, you will need to specify the output folder: output: with dir the directory name and the option makedir that gives the possible to delete any existing output folder with the same name (if set to False) or to create a new folder with the give dir name plus a number at the end (e.g. outputDir_1 if set to True)  
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Input files: # the NetCDF files from the ROMS hydrodynamic model # a comma delimited file that contains the particle locations, # comma delimited files that contain habitat boundaries for the Settlement Module. The latter is only needed if the Settlement Module is turned on.  +
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Input flow directions: 8 bit unsigned integers The numbers corresponding to each of the 9 possible flow directions are shown below: 32 64 128 16 0 1 8 4 2 So a cell with the value '1' means that the flow in that cell goes to the East, while a value of '32' means that the cell's flow goes to the North West. The value '0' implies that the cell is a sink and flow does not leave it Row major order is used.  +
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Input is in the form of values per time step for the following variables: files of rain fall, river inlet, sea-level, substratum thickness, tectonics, subsidence, while the model is calibrated through environmental coefficients, threshold slopes, threshold discharge, and set for interval time steps, number of time steps, environmental coefficients (m2/yr) and substratum grain size.  +
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Input parameters are provided through several user-supplied files (see the CVPM modeling system user's guide).  +
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Input parameters are: * Digital Elevation Model (DEM) of the basin * Soil textural and hydraulic information * Vegetation information * Meteorological conditions at a subdaily timestep, in particular precipitation, air temperature, humidity, wind speed, incoming shortwave radiation and incoming longwave radiation * Information about the stream and road network (location, width, etc.)  +
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Input parameters belong to five families: * parameters related to flow field * parameters related to the floodplain structure * parameters related to the river geometry * parameters related to the time marching of the simulation * parameters related to the output printing  +
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Input parameters: * Geometrical parameters: Nx, Ny, domain size * Flow Parameters: Reynolds, Peclet * Particle Parameters: Settling velocities. The complete list of input parameters is set and described in the file input.inp  +
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Input parameters: # Geomety in terms of finite element mesh # matreial properties, # initila conditions, # boundary conditions, # meteogoligcal data, and # reaction networks for biogeochemical transport. Detailed input/output refers to Yeh et al., 2005 Technical Report on WASH123D  +
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Input parameters: * DEM * Precipitation * Potential Evapotranspiration  +
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Input parameters: *Geometrical parameters: Nx, Ny, Nz. *Grid: Uniform or nonuniform. *Flow Parameters: Reynolds, Peclet *Particle Parameters: Settling velocities. *Flags: Output writing flags. Inflow/Outflow to the domain flags.  +
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Input: *Landslide: recurrence interval, size parameters *Cosmogenic: production rate, decay rate, attenuation, density diffusive erosion rate drainage basin size, critical drainage area for a channel *River channel scaling parameters: width, sediment depth, drainage density  +
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Inputs include grid definitions, erosion rule parameters, uplift time series, stratigraphic geometry, and rock type and rockfall debris erodibility.  +
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It requires the following meteorological parameters: * air temperature (TA) * relative humidity (RH) * wind speed (VW) * incoming short wave radiation (ISWR) and/or reflected short wave radiation (RSWR) * incoming long wave radiation (ILWR) and/or surface temperature (TSS) * precipitation (PSUM) and/or snow height (HS) * ground temperature (TSG, if available. Otherwise, you will have to use MeteoIO's data generators to generate a value) or geothermal heat flux * snow temperatures at various depths (TS1, TS2, etc if available and only for comparisons, see section Snow and/or soil temperatures)  +
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Landscape elevation, ELA with time  +
L
Length of reach, distance between nodes, timestep, number of timesteps, median grain size, elevation of the water surface, slope of initial river bed, Qmax, Xmax, mainning N, Initial elevation, node along X-as at which tectonic elev. Changes start, sediment conc. of lateral inflow, mass feed rate at upstream boundary,  +
S
Loading distribution, EET, Mantle viscosity  +
I
Main input parameters: * River velocity, width, depth, and sediment concentration. * Bathymetry  +
S
Main input parameters: * River velocity, width, depth, and sediment concentration * Bathymetry  +
W
Main inputs are bathymetry, riverine sediment discharge time-series, and ambient wave and current time-series. Critical velocity for sea bed erosion, bottom drag coefficient and critical bulk Richardson number can also be adjusted.  +
D
Mangrove properties, Delft3D-FM model  +
M
Many, see Mudd et al. (2009) ECSS v 82(3) 377-389  +
W
Marsh vegetation and mudflat sediment characteristics Backbarrier basin width Reference wind speed Tidal range Reference sediment concentration  +
Maximum gradient windspeed 10 m above water (m/s), Radius of maximum wind (km), Pressure difference between eye and ambient (mm Hg), Forward speed of hurricane (m/s), Maximum number of nodes in x direction (postive east), Maximum number of nodes in y direction (positive north), Space step in x direction (m), Space step in y direction (m), X location of eye (m), Y location of eye (m), Storm direction (degrees counterclockwise from east)  +
S
Maximum number of timesteps over which winds computed, X-dir. position of storm center at beginning, Y-dir. position of storm center at beginning, Storm velocity (m/sec), Storm direction (degrees counterclockwise from east), Pressure at eye (Pascals), Pressure at edge (Pascals), Radius of maximum storm winds(m), Storm radius (m).  +
F
Measured or artificially generated wave and current forcing. Floc diameter, density. Downslope gravity. Vertical grid mesh. Erodibility. Parameters for Bingham rheology.  +
M
Microsoft Excel tables  +
R
Minimum requirements include a river network with link id, downstream link id, upstream drainage area, link length, and link slope. All of these are attributes are included as part of the National Hydrography Dataset Version 2 Plus (NHDV2Plus).  +
N
Minimum requirements include a river network with link id, downstream link id, upstream drainage area, link length, and link slope. All of these are attributes are included as part of the National Hydrography Dataset Version 2 Plus (NHDV2Plus).  +
T
Model Inputs: * Project file: Text description of application and input file names and paths. * Catchment (watershed) data file: Watershed and subwatershed topographic index—ln(a/tan B) distributions and the following parameters: ** The mean soil surface transmissivity ** A transmissivity profile decay coefficient ** A root zone storage capacity ** An unsaturated zone time delay ** A main channel routing velocity and internal subwatershed routing velocity To use the infiltration excess mechanism, a hydraulic conductivity (or distribution), a wetting front suction and the initial near surface water content should be added. The initialization of each run requires an initial stream discharge and the root zone deficit. * Hydrological input data file: rainfall, potential evapotranspiration, and observed discharge time series in m/h * Topographic index map data file: the topographic index map may be prepared from a raster digital elevation file using the DTM-ANALYSIS program. This file includes number of pixels in X direction, number of pixels in Y direction, grid size, and topographic index values for each pair of X and Y.  +
S
Model parameters, cross section geometry, bed material, flow and sediment input  +
C
Model setup: grid extent and resolution, time stepping and duration. Environmental inputs (from global datasets, automated methods): bathymetry, seawater bottom temperatures, benthic irradiance, seafloor hardness, ocean wave climate Organism characteristics (automated from Knowledge Base): dimensions, construction, reproduction and survivorship  +
B
Modify input parameters directly in Matlab script Inputs include initial conditions, upstream flow conditions, bifurcation geometry, bypass fraction, sea level (optional), differential subsidence rate (optional)  +
D
Modify parameter values in Matlab code directly: Water/Sediment discharge; Grid size and grid parameters; Basin geometry; Input sand/mud ratio.  +
P
Modify parameters in example input file deltaRCM.yaml included in repository. Run with example script run_pyDeltaRCM.py. Modify water/sediment discharge (as number of parcels), grid size and spacing, basin geometry, mud/sand ratio, etc  +
M
Multiple parameter files, initial conditions matrices  +
D
No files required. Sediment composition, vegetation parameters, SLRR, run time, grid size, water and sediment discharge and other similar parameters can be modified directly within the code.  +
G
Note: See also the GEOMBEST++ Users Guide, section 6 A minimum of four excel files are required to run a GEOMBEST-Plus simulation: an “erosionresponse” file, an “accretionresponse” file, a “run#” file, and a “tract#” file. If the simulation involves a single coastal tract then the files must be titled “erosionresponse”, “accretionreponse”, “run1” file and “tract1.” Caution: Note that the run# and tract# files will have the same name (tract1, run1, etc., see below) for all simulations and so attention to organization is critical.  +
Note: See the GEOMBEST++Seagrass Users Guide, section 6 A minimum of four Microsoft Excel files are required to run a simulation: an “erosionresponse” file, an “accretionresponse” file, a “run#” file, and a “tract#” file. If the simulation involves a single coastal tract then the files must be titled “erosionresponse”, “accretionreponse”, “run1” file and “tract1.” Caution: Note that the run# and tract# files will have the same name (tract1, run1, etc.) for all simulations, so attention to organization is critical.  +
S
Number of cross sections, Time (s) and space (m) descretisation steps, Chezy friction coefficient (m**1/2 s**-1), Period (s) and amplitude (m) of incoming waves, Number of time steps desired, Channel width at the Ith cross section (m), Still water depth (m)  +
1
Number of iterations (or links in the chain) Initial parameters from which to start the Markov Chain Monte Carlo simulations Hillslope morphology measured from topograph for comparison (in dimensionless E* R* format; see Roering et al. 2007 or Hurst et al. 2012).  +
F
Open channel geometry, discharge at its head, flow elevation at its terminus  +
O
OpenFOAM needs to read a range of data structures such as strings, scalars, vectors, tensors, lists and fields. The input/output (I/O) format of files is designed to be extremely flexible to enable the user to modify the I/O in OpenFOAM applications as easily as possible. See also user manual  +
P
PIHM is an integrated finite volume hydrologic model. It simulates channel routing, overland flow and groundwater flow in fully coupled scheme. It uses semi-discrete Finite Volume approach to discretize PDE (equations governing physical processes) into ODE to form a system of ODEs and solved with SUNDIALS solver (LBL).<br>PIHM incorporates an object-oriented model data structure which provides extensibility and efficient storage of data at the same time. PIHM v2.0 requires the following input files: * projectName.txt : This file will have the project name as its content. * .mesh File : Spatial information of Nodes and Irregular Meshes (TINs) * .att File : Attribute defining different classes an element belongs to * .soil File : Soil properties * .geol : Geologic properties * .lc file : Vegetation parameters of different land cover types * .riv file : Spatial, geometry and material information of river segments * .forc file : All the forcing variables (forcing time-series) * .ibc file : Boundary condition information for elements * .para file : Control parameters (solver options; model modes; error control) * .init : If initial condition input is through a file * .calib : Calibration parameters and process controls  +
G
PRMS: http://wwwbrr.cr.usgs.gov/projects/SW_MoWS/software/oui_and_mms_s/prms.shtml MODFLOW http://water.usgs.gov/nrp/gwsoftware/modflow2005/modflow2005.html  +
D
Parameters ---------- grid : ModelGrid channel__mask : Array that holds 1's where channels exist and 0's elsewhere area_coefficient : coefficient to multiply drainage area by, for calculating channelization threshold slope_coefficient : coefficient to multiply slope by, for calculating channelization threshold area_exponent : exponent to raise drainage area to, for calculating channelization threshold slope_exponent : exponent to raise slope to, for calculating channelization threshold channelization_threshold : threshold value above which channels exist  +
F
Parameters: # Spatial # Temporal # Initial 'basement' topography # Relative sea level curve # Climate (arid, temperate, humid) # Latitude  +
C
Parameters: *A(I,J) - Angle between flow and grid coordinates {SG} *Ab(I) - Breaker angle {2} *ACENT - Angle of wave climate central tendency (0 is for crests parallel to the lower boundary) *ASTORM - Angle of dominant waves *Aw(I,J) - Angle between wave propagation & onshore direction {2} *Beta - Scales the exponent in the wave-drift *CK - Coef.scales rate of gravity-driven upper shoreface sed flux (3) *DELTAX - Longshore grid cell dimension (SG) *DELTAY - Cross-shore grid cell dimension (SG) *DC(I,J) - Cross-shore diff. coef.in flow coords.{1} *DCyyy - Controls the slope of the cross-shore diffusion coef. when it is *computed from a linear eqn. *DCzero - The offset in the above relationship *DCmax - Max. Limit for the cross-shore diff. coef. *DL(I,J) - Longshore diff. coef.in flow coords. {1} *DLyyy - Slope of the longshore diff. coef. *DLzero - Offset of the above. *DLmax - Max. Limit for the long-shore diff. coef. *DT - Time step in years *EDFACT - Controls relative converge/divergence of waves due to refraction (should mimic RFACT) *GFACT - Factor for the K(Cn)/(delrho)ga in the ls transp.eqn. *H(I,J,iTime) - Depths in grid, fill index in surf-zone cells {SG} *Hmax - Max.(ie. most negative) depth in the surf zone cell (SG) *Hmin - Min. depth in the surf zone cell (SG) *IMAX - Number of grid cells in the shore parallel direction(SG) *JMAX - Number of grid cells in the cross-shore direction(SG) *JSHORE(I) - Most landward ocean cell - surf-zone cell(SG) *K1 - Scales the diff. sed. transport *MFACT - Scales the wave-energy density of general wave climate *NFACT - Scales the wave-energy density of the dominant waves *PORE - Sediment porosity *SANGLE(I) - - Tangent angle along the shoreline {SG} *Scr - The critical slope of the upper shoreface cell (JSHORE-1) *SHOAL(I) - Relative convergence/div of wave-energy density due to refraction *RFACT - Contols the relative ray-bending due to refraction *Wo - Scales the wave-drift sed. trans. *XSHORE(I) - X-coord. of the continuous shoreline {SG} *YSHORE(I) - Y-coord. of the continuous shoreline {SG} *YOFF(I,iTime) - offset between the surf-zone cell center and the continuous shoreline (can be positive or negative){SG}  
S
Parameters: *Sealevel curve *subsidence *rainfall (variable through time) *multiple rivers with variable discharge and sediment load through time *initial topography *wind velocity and direction/or wave height and propagation direction *marine current velocity and location *sediment transport parameters *number of grainsizes, grainsize dimensions and density *fluvial channel dimensions  +
G
Please see: http://geotopmodel.github.io/geotop/  +
E
Precipitation  +
H
Precipitation, temperature, and geographical data  +
A
Probability density function of stream-avulsion angles  +
C
Production and subsidence rates, cellular automata rules (number of seed neighbours etc), sea-level history  +
B
Proportion by mass of each size-density fraction in the bed, instantaneous turbulent grain shear velocities, critical shear stresses of each size-density fraction  +
M
Raster at ArcGIS ASCII format 1. contributing area (m2) 2. topographic slope (%) 3. flow direction (ArcGIS coding) Tables: 4. initial surface particle size distribution (PSD) 5. aeolian PSD (optional) 6. climate fluctuations (optional) Text: 7. input parameters  +
G
Rasters containing the relative area of a specific land use (e.g. cropland) in the past (e.g. 1960, 1980, 1990, 2005). A table of historic and predicted global population.  +
M
Reach hydraulic parameters (e.g. slope, sediment grain size, critical shear stresses, Chezy coefficient, bed macro-roughness, sediment supply rate, length, channel width, flood intermittency factor, etc.)  +
T
Requires an input file called: radin_dailyavg.mat This specifies the daily average incoming radiation.  +
E
River hydrology is described with a flow duration curve, the mean annual sand load is specified, the mean annual mud load is computed with a user-specified rating curve, characteristic sand and mud grain size, friction coefficients for the channel and for the floodplain and other model parameters described in the excel caclulator  +
S
River mouth characteristics (velocity, width, depth, concentration) averaged daily, or longer. Initial bathymetry. Input sediment distribution and properties of each grain type. Optionally, any of: tectonics, sea level, wave climate, and currents  +
P
River velocity, width, depth; Sediment concentrations  +
S
SPARROW modeling requires the integration of many types of geospatial data for use as explanatory variables which are considered as either constituent sources or delivery factors. Sources might include certain land types such as urban area, or known contaminant sources such as sewage treatment plants. Delivery terms can include any basin characteristic that may be associated with natural attenuation. For example, denitrification is often associated with certain soil characteristics and the spatial pattern of those soil characteristics is often related to that of constituent loads. In some cases delivery terms might also be associated with enhanced delivery. For example, high basin slope might cause more rapid flows which could increase the delivery of constituents. Delivery is also influenced by the water time of travel in streams, which can be estimated from published USGS time-of-travel studies (e.g., Reed and Stuckey, 2001).  +
C
SPM parameters (Kf, Kd, lf, etc) geomtrical and other parameters imposed by modifying the code  +
Sea Level Rise rate (mm/yr), upland slope (unitless), suspended sediment concentration (external supply) (mg/L), length of simulation (years)  +
B
Sea level curve; rate of lagoonal deposition; rate of overwash; initial shelf profile. The stratigraphic data are organized in a matrix of integers. Every matrix entry corresponds to a stratigraphic unit (bedrock, overwash, transitional, shoreface, aeolian and lagoonal).  +
S
Sealevel, Subsidence, Start Time, End Time, Sedimentation Rates, Initial basin surface  +
D
Sediment availability, vegetation characteristics, tidal forcing, rate of relative sea level rise, tidal network configuration and marsh topography if an actual domain is considered.  +
C
Sediment porosity, closest-packed porosity, compaction coefficient  +
R
See 'rescal_snow_inputs' in docs  +
N
See documentation.  +
G
See documentation: https://bmi-geotiff.readthedocs.io  +
T
See documentation: https://bmi-topography.readthedocs.io  +
G
See documentation: https://pymt-gridmet.readthedocs.io  +
H
S
See manual  +
G
See paper  +
R
See the readme file.  +
T
See website, too many to describe: http://www-data.wron.csiro.au/topog/  +
S
See: https://swat.tamu.edu/  +
Several, as defined in wrapper script  +
G
Shoreline position, time series of offshore wave height, period, and direction. Coastal structures and their physical attributes. Optionally, nearshore wave information from an external wave model.  +
A
Simulation time (t) and time step (dt), Initial grid size and slope, Incoming discharge and sediment load (t), Sea level (t), no of grain size classes, grain size distribution, grain size. Sediment transport coeficients  +
D
Simulation time and time step, Initial profile, Stochastic sediment input (t), Sea level (t), Sediment transport parameters (i.e. travel distances)  +
S
Slope Data: Slope of each cell, used to calculate partial changes in cell composition. As derived from the Digital Elevation Map. (units are degrees) • DEM Data: Digital Elevation Map data. Preferrable derived from LiDAR. Contour data (from the National Elevation Database, for example) are typically inappropriate to use for calculating sea level rise effects but serve as data in areas where more precise data are not available ( in this case the elevation preprocessor module may be used). (units are meters) • NWI Data: National Wetlands Inventory categories. Dominant wetland category for each cell is converted into SLAMM categories. This is also used to refine elevation estimates for each cell. Table 4 provides the crosswalk information for Cowardin codes to SLAMM categories • Dike Data: Boolean defining whether each cell is protected by dikes or not. This is available as an attribute of the NWI data, special modifier “h.” • IMP Data: Percent impervious raster, derived from National Land Cover Dataset. Dry land with percent impervious greater than 25% is assumed to be “developed dry land.”  +
G
Source inputs consist of global, spatially distributed (GIS) raster datasets: hydrological properties (river basin systems, runoff, reservoirs, irrigation, rainfall), topographic slope, land use, agricultural N & P inputs (fertilizer, manure), atmospheric N deposition, sewage, N fixation, etc.  +
T
Spatial-temporal mean bed fluid shear stress  +
G
Standard input parameter files (ascii). For some conditions, also require additional binary file specifying boundary configuration.  +
D
Staring grid topography and vegetation maps, control parameters such as potential transport rates, vegetation response functions  +
Stratigraphic parameters : basin deformation(eustatic curve, subsidence maps, compaction, flexure), supply (boundary conditions, rain fall, carbonate production), transport (waves, water and gravity transport, slope failure)  +
S
Surface mass balance, (precipitation, evaporation, runoff), Mean annual air temperature above the ice, Eustatic sea level, Geothermal heat flux.  +
I
Surface mass balance, Ice thickness, and ice flow  +
O
Surface wave height and period or surface winds as well as water depth.  +
P
TCL script, many physical and numerical parameters needed.  +
R
The Rippl function executes the sequent peak algorithm to determine the no-fail storage for given inflow and release time series. The storage function gives the design storage for a specified timebased reliability and yield. Similarly, the yield function computes yield given the storage capacity. The rrv function returns three reliability measures, relilience, and dimensionless vulnerability for given storage, inflow time series, and target release. Users can assume Standard Operating Policy, or can apply the output of sdp analysis to determine the RRV metrics under different operating objectives. The Hurst function estimates the Hurst coefficient for an annualized inflow time series.  +
A
The area to be simulated has to be described (DEM, landuse). The meteorological input data (air temperature, relative humidity, precipitations...) have to be described (units, interpolations types). Some parameters about the model itself must be given (precision of the radiation ray tracing algorithms, characteristic lengths, parameters for a bucket model of runoff...)  +
S
The bathymetry, current, water level, bottom friction and wind (if spatially variable) need to be provided to SWAN on so-called input grids. It is best to make an input grid so large that it completely covers the computational grid.  +
T
The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 1 Method name: Read_from_binary_file Time step: Scalar 10800.00000000 (sec) ET rate: Grid_Sequence Space-time_Rain_Test/Rain_TEST.rts (mm/hr)  +
O
The default climate dataset used by OGGM is the Climatic Research Unit (CRU) TS v4.01 dataset  +
W
The input data for WOFOST consists of three categories: 1. Daily weather variables (temperature, radiation, precipitation, humidity, windspeed) 2. Parameters for the crop, soil and site 3. Agromanagement information related to the cropping practices: sowing, harvesting, irrigation, nutrient application, etc. How these inputs are provided to the model depends on the implementation.  +
S
The input file is a DEM in .flt format. A driver text file is also required which contains the parameters used for the extraction.  +
D
The input file is a DEM in .flt format. A driver text file is also required which contains the parameters used for the extraction. Information on the parameters needed in the driver file is available in the documentation (http://www.geos.ed.ac.uk/~smudd/LSDTT_docs/html/channel_heads.html).  +
G
The input file is a text file and users are required to input: Time (in model years) dT (the time step in fractions of a year) tauc (Critical Shear stress for portions of the channel that are vegetated in Pascals) taucWepp (Critical Shear stress for portions of the channel that are soil in Pascals) lenzone (the length of channel that is bare soil in Meters) Pmmphr (Rainfall to be used for erosion in Millimeters per Hour) tval (this is the number of loop iterations before a profile is saved as output) Immphr (Infiltration to be used for erosion in Millimeters per Hour) One additional input: One must supply the input length of the channel as a matlab data array called xcell.mat  +
A
The input file is required for each run and provides the basic simulation parameters. It must conform to the ACADIA.inp standard format as described below Line1: should read the character string 'Comment�:' which is the label for the next line and is ignored during data input Line2: inputs a comment of maximum 72 characters about the current simulation Line3: should read 'Case name', which is the label for the next line and is ignored during data input Line4: specifes the case name (including the directory location if it is not soft-linked to the current directory). The code will append the suffixes '.nod', '.ele',and '.bat' to this string in order to know where to find the NML standard files Line5: should read 'Simulation Parameters', which is the label for the next line and is ignored during data input Line6: inputs the number of transport variables Line7: inputs the number of �uid layers Line8: inputs the degrees latitude of the center of the mesh Line9: inputs the time step in seconds Line10: inputs the starting date (day, month, year), time (in seconds after midnight). The value of time can be greater than 8.64E4 (equivalent of 1 day) as the code will automatically adjust the day and time accordingly Last Line: inputs the quitting criteria for the code as day, month, year and time in seconds after midnight. Again the value of time can be greater than 8.64E4. This allows the user to specify an overall length of the simulation instead of the exact date and time of the end of the simulation  +
H
The input files are a DEM in .flt format, a channel heads file generated using the DrEICH algorithm (https://csdms.colorado.edu/wiki/Model:DrEICH_algorithm) and an optional floodplain mask in .flt format. Input parameters are also supplied at the command line. Information on the parameters is available in the documentation (http://www.geos.ed.ac.uk/~smudd/LSDTT_docs/html/channel_heads.html).  +
R
The input includes file names for output, subgrid information, physical parameters and wave conditions. Water depth is obtained from the master program though a file name for water depth input is still kept in "indat.dat".  +
C
The input is a 'channel file' and a 'driver file'. The channel file contains data on channel profiles within a channel network composed of a main stem and tributaries flowing into that main stem (that is, there are no tributaries of tributaries). The driver file contains parameters for the model run. The format of these files is described in the documentation that accompanies the model source code.  +
The input parameters to a model run consist of an initial shoreline, a wave file, and a set of configuration parameters. The initial shoreline is stored within a custom binary formatted-file. Since CEM has been used for abstract simulations of coastline evolution, the initial model condition consists either of a mostly-smooth shoreline with initial perturbations to the shoreline position (generated by a tool provided with the model), or using a shoreline that resulted from a previous model run. The wave file consists of a set of wave approach angles and wave heights that are used during the model run. This wave file is also generated by a tool provided with the model, and takes as input the statistical distribution of wave-approach angles. Finally, basic model parameters (e.g. number of time steps to simulate, etc.) are specified within an XML-formatted text file. An example is provided with the model.  +
T
The input variables for modeling the net flux of shortwave radiation are defined as follows: Tair = air temperature (deg C) RH = relative humidity (unitless) (in (0,1)) albedo = surface albedo (unitless) (in (0,1)) dust att. = dust attenuation factor (unitless) (in (0,1)) factor = cloud or canopy cover factor (unitless) (in (0,1)) slope = topographic slope (unitless, m/m) (in (0,Infinity)) aspect = aspect angle (radians) (in (0,1)) The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 1 Method name: Standard Time step: Scalar 3600.0 (sec) rho_H2O: Scalar 1000.00000000 (kg/m^3) Cp_air: Scalar 1005.70001221 (J/kg/K) rho_air: Scalar 1.26139998 (kg/m^3) P: Time_series Case5_rain_rates.txt (mm/hr) T_air: Scalar 20.00000000 (deg C) T_surf: Scalar -5.00000000 (deg C) RH: Scalar 0.50000000 (none) p0: Scalar 1000.00000000 (mbar) uz: Scalar 3.00000000 (m/s) z: Scalar 10.00000000 (m) z0_air: Scalar 0.02000000 (m) Qn_SW: Scalar 100.00000000 (W/m^2) Qn_LW: Scalar 10.00000000 (W/m^2) Save grid timestep: Scalar 60.00000000 (sec) Save ea grids: 0 Case5_2D-ea.rts (mbar) Save es grids: 0 Case5_2D-es.rts (mbar) Save pixels timestep: Scalar 60.00000000 (sec) Save ea pixels: 0 Case5_0D-ea.txt (mbar) Save es pixels: 0 Case5_0D-es.txt (mbar)  
The input variables for the Energy Balance method of estimating losses due to evaporation are defined as follows: Q_SW = net shortwave radiation (W / m^2) Q_LW = net longwave radiation (W / m^2) T_air = air temperature (deg C) T_surf = surface (snow) temperature (deg C) T_soil_x = soil temperature at depth x (deg C) x = reference depth in soil (m) K_soil = thermal conductivity of soil (W / (m deg_C)) u_z = wind velocity at height z (m / s) z = reference height for wind (m) (above land surface) z_0 = surface roughness height (m) (with no snow) h0_snow = initial snow depth (m) ρ_air = density of the air (kg / m^3) c_air = specific heat capacity of air (J / (kg deg_C)) L_v = latent heat of vaporization, water (J / kg) (2500000) g = gravitational constant, Earth = 9.81 (m / s^2) κ = von Karman's constant = 0.41 (unitless) The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 2 Method name: Energy_Balance Time step: Scalar 3600.00000000 (sec) alpha: Scalar 1.20000000 (none) K_soil: Scalar 0.44999999 (W/m/deg_C) soil_x: Scalar 0.05000000 (m) T_soil_x: Scalar 0.00000000 (deg C) Save grid timestep: Scalar 60.00000000 (sec) Save er grids: 0 Case5_2D-ETrate.rts (m/s) Save pixels timestep: Scalar 60.00000000 (sec) Save er pixels: 0 Case5_0D-ETrate.txt (m/s)  +
The input variables for the Energy Balance method of estimating runoff due to snowmelt are defined as follows: Q_SW = net shortwave radiation (W / m^2) Q_LW = net longwave radiation (W / m^2) T_air = air temperature (deg C) T_surf = surface (snow) temperature (deg C) RH = relative humidity (none) (in (0,1)) p_0 = atmospheric pressure (mbar) u_z = wind velocity at height z (m / s) z = reference height for wind (m) z0_air = surface roughness height (m) h0_snow = initial snow depth (m) h0_swe = initial depth, snow water equivalent (m) ρ_snow = density of the snow (kg / m^3) c_snow = specific heat capacity of snow (J / (kg deg_C)) ρ_air = density of the air (kg / m^3) c_air = specific heat capacity of air (J / (kg deg_C)) L_f = latent heat of fusion, water (J / kg) (334000) L_v = latent heat of vaporization, water (J / kg) (2500000) e_air = air vapor pressure at height z (mbar) e_surf = vapor pressure at the surface (mbar) g = gravitational constant = 9.81 (m / s^2) κ = von Karman's constant = 0.41 (unitless) The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 2 Method name: Energy_Balance Time step: Scalar 3600.00000000 (sec) Cp_snow: Scalar 2090.00000000 (J/kg/K) rho_snow: Scalar 300.00000000 (kg/m^3) c0: Scalar 2.70000005 (mm/day/deg C) T0: Scalar -0.20000000 (deg C) h0_snow: Scalar 0.50000000 (m) h0_swe: Scalar 0.15000000 (m) Save grid timestep: Scalar 60.00000000 (sec) Save mr grids: 0 Case5_2D-SMrate.rts (m/s) Save hs grids: 0 Case5_2D-hsnow.rts (m) Save sw grids: 0 Case5_2D-hswe.rts (m) Save cc grids: 0 Case5_2D-Ecc.rts (J/m^2) Save pixels timestep: Scalar 60.00000000 (sec) Save mr pixels: 0 Case5_0D-SMrate.txt (m/s) Save hs pixels: 0 Case5_0D-hsnow.txt (m) Save sw pixels: 0 Case5_0D-hswe.txt (m) Save cc pixels: 0 Case5_0D-Ecc.txt (J/m^2)  
The input variables for the Priestley-Taylor method of estimating losses due to evaporation are defined as follows: Q_SW = net shortwave radiation (W / m^2) Q_LW = net longwave radiation (W / m^2) T_air = air temperature (deg C) T_surf = surface (snow) temperature (deg C) T_soil_x = soil temperature at depth x (deg C) x = reference depth in soil (m) K_soil = thermal conductivity of soil (W / (m deg_C)) α = coefficient (unitless) L_v = latent heat of vaporization, water (J / kg) (2500000) The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 0 Method name: Priestley-Taylor Time step: Scalar 3600.00000000 (sec) alpha: Scalar 1.20000000 (none) K_soil: Scalar 0.44999999 (W/m/deg_C) soil_x: Scalar 0.05000000 (m) T_soil_x: Scalar 0.00000000 (deg C) Save grid timestep: Scalar 60.00000000 (sec) Save er grids: 0 Case5_2D-ETrate.rts (m/s) Save pixels timestep: Scalar 60.00000000 (sec) Save er pixels: 0 Case5_0D-ETrate.txt (m/s)  +
The input variables used by the Smith-Parlange 3-parameter method for modeling infiltration are defined as follows: K_s = saturated hydraulic conductivity (m / s) K_i = initial hydraulic conductivity (m / s) (typically much less than K_s) θ_s = soil water content at ψ=0 (unitless) (typically set to the porosity, φ) θ_i = initial soil water content (unitless) G = capillary length scale (meters) = integral over all ψ of K(ψ) / K_s = (almost always between ψ_B and 2*ψ_B) P = precipitation rate (mm / sec) M = snowmelt rate (mm / sec) γ = Smith-Parlange method parameter (between 0 and 1, near 0.8) The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 2 Method name: Smith_Parlange Number of layers: 1 Time step: Scalar 60.0000000 (sec) Ks: Scalar 0.00000720 (m/s) Ki: Scalar 0.00000010 (m/s) qs: Scalar 0.48500001 (none) qi: Scalar 0.37580763 (none) G: Scalar 0.72400000 (m) gamma: Scalar 0.82000000 (none) Closest soil_type: silt_loam Save grid timestep: Scalar 60.00000000 (sec) Save v0 grids: 0 Case5_2D-v0.rts (m/s) Save I grids: 0 Case5_2D-I.rts (m) Save pixels timestep: Scalar 60.00000000 (sec) Save v0 pixels: 0 Case5_0D-v0.txt (m/s) Save I pixels: 0 Case5_0D-I.txt (m)  +
The input variables used by the simple Green-Ampt method for modeling infiltration are defined as follows: K_s = saturated hydraulic conductivity (m / s) K_i = initial hydraulic conductivity (m / s) (typically much less than Ks) θ_s = soil water content at ψ=0 (unitless) (typically set to the porosity, φ) θ_i = initial soil water content (unitless) G = capillary length scale (meters) = integral over all ψ of K(ψ) / K_s = (almost always between ψ_B and 2*ψ_B) P = precipitation rate (mm / sec) M = snowmelt rate (mm / sec) The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 0 Method name: Green_Ampt Number of layers: 1 Time step: Scalar 60.0000000 (sec) Ks: Scalar 0.00000720 (m/s) Ki: Scalar 0.00000010 (m/s) qs: Scalar 0.48500001 (none) qi: Scalar 0.37580763 (none) G: Scalar 0.72400000 (m) Closest soil_type: silt_loam Save grid timestep: Scalar 60.00000000 (sec) Save v0 grids: 0 Case5_2D-v0.rts (m/s) Save I grids: 0 Case5_2D-I.rts (m) Save pixels timestep: Scalar 60.00000000 (sec) Save v0 pixels: 0 Case5_0D-v0.txt (m/s) Save I pixels: 0 Case5_0D-I.txt (m)  +
The input variables used for modeling horizontal subsurface flow in the saturated zone via Darcy's Law are defined as follows: K_s = saturated hydraulic conductivity (m / s) S_y = specific yield or drainable porosity (unitless) (less than or equal to the porosity, φ, see Notes) thickness = soil layer thickness (meters)  +
The input variables used for modeling infiltration and unsaturated vertical flow with the 1D Richard's equation are defined as follows: K_s = saturated hydraulic conductivity (m / s) K_i = initial hydraulic conductivity (m / s) (typically much less than K_s) θ_s = soil water content at ψ = 0 (unitless) (often set to the soil porosity, φ) θ_i = initial soil water content (unitless) θ_r = residual soil water content (unitless) (must be < θ_i) ψ_B = bubbling pressure head (meters) (also called air-entry pressure, ψ_ae) ψ_A = pressure head offset parameter (meters) λ = pore-size distribution parameter (unitless) (alt. notation = 1/b ) η = 2 + (3 * λ) (unitless) (see Notes) c = transitional Brooks-Corey curvature parameter (unitless) (see Notes) dznodes = vertical distance between nodes (meters) nnodes = number of subsurface vertical nodes The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data.  +
The input variables used for the Degree-Day method of estimating runoff due to snowmelt are defined as follows: c_0 = coefficient T_0 = threshold temperature (deg C) T_air = air temperature (deg C) ρ_snow = density of the snow (kg / m^3) ρ_water = density of liquid water, 1000 (kg / m^3) h0_snow = initial snow depth (m) h0_swe = initial depth, snow water equivalent (m) The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 0 Method name: Degree-Day Time step: Scalar 3600.00000000 (sec) Cp_snow: Scalar 2090.00000000 (J/kg/K) rho_snow: Scalar 300.00000000 (kg/m^3) c0: Scalar 2.70000005 (mm/day/deg C) T0: Scalar -0.20000000 (deg C) h0_snow: Scalar 0.50000000 (m) h0_swe: Scalar 0.15000000 (m) Save grid timestep: Scalar 60.00000000 (sec) Save mr grids: 0 Case5_2D-SMrate.rts (m/s) Save hs grids: 0 Case5_2D-hsnow.rts (m) Save sw grids: 0 Case5_2D-hswe.rts (m) Save cc grids: 0 Case5_2D-Ecc.rts (J/m^2) Save pixels timestep: Scalar 60.00000000 (sec) Save mr pixels: 0 Case5_0D-SMrate.txt (m/s) Save hs pixels: 0 Case5_0D-hsnow.txt (m) Save sw pixels: 0 Case5_0D-hswe.txt (m) Save cc pixels: 0 Case5_0D-Ecc.txt (J/m^2)  +
The input variables used for the Dynamic Wave method of routing flow in channels are defined as follows. These inputs must be provided as grids: *flow_codes = D8 flow codes (Jenson convention), (NE,E,SE,S,SW,W,NW,N) → (1,2,4,8,16,32,64,128) *bed_slope = slope of the channel bed or hillslope (m / m) *Manning_n = Manning roughness parameter (s / m1/3) *bed_width = bed width for trapezoidal cross-section (m) *bank_angle = bank angle for trapezoid (deg) (from vertical) *sinuosity = channel sinuosity (unitless) (along-channel / straight length) *init_depth = initial water depth (m) (See Notes below) These inputs can be provided as scalars or grids: *sinuosity = channel sinuosity (m/m) (along-channel / straight length) *init_depth = initial water depth (m) (See HTML help) Grids must be saved in binary files with no header. All variables should be stored as 4-byte, floating-point numbers (IEEE standard) except flow codes, which are unsigned, 1-byte integers. The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 3 Method name: Dynamic_Wave Manning flag: 1 Law of Wall flag: 0 Time step: Scalar 6.00000000 (sec) D8 flow code: Grid Treynor_flow.rtg (none) D8 slope: Grid Treynor_slope.rtg (m/m) Manning N: Grid Treynor_chan-n.rtg (s/m^(1/3)) Bed width: Grid Treynor_chan-w.rtg (m) Bank angle: Grid Treynor_chan-a.rtg (deg) Init. depth: Scalar 0.00000000 (m) Sinuosity: Scalar 1.00000000 (m/m) Save grid timestep: Scalar 60.00000000 (sec) Save Q grids: 1 Case5_2D-Q.rts (m^3/s) Save u grids: 0 Case5_2D-u.rts (m/s) Save d grids: 0 Case5_2D-d.rts (m) Save f grids: 0 Case5_2D-f.rts (none) Save pixels timestep: Scalar 60.00000000 (sec) Save Q pixels: 1 Case5_0D-Q.txt (m^3/s) Save u pixels: 0 Case5_0D-u.txt (m/s) Save d pixels: 0 Case5_0D-d.txt (m) Save f pixels: 0 Case5_0D-f.txt (none)  
The input variables used for the Dynamic Wave method of routing flow in channels are defined as follows. These inputs must be provided as grids: *flow_codes = D8 flow codes (Jenson convention), (NE,E,SE,S,SW,W,NW,N) → (1,2,4,8,16,32,64,128) *bed_slope = slope of the channel bed or hillslope (m / m) *Manning_n = Manning roughness parameter (s / m^1/3) *bed_width = bed width for trapezoidal cross-section (m) *bank_angle = bank angle for trapezoid (deg) (from vertical) *sinuosity = channel sinuosity (unitless) (along-channel / straight length) *init_depth = initial water depth (m) (See Notes below) These inputs can be provided as scalars or grids: *sinuosity = channel sinuosity (m/m) (along-channel / straight length) *init_depth = initial water depth (m) (See HTML help) Grids must be saved in binary files with no header. All variables should be stored as 4-byte, floating-point numbers (IEEE standard) except flow codes, which are unsigned, 1-byte integers. The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 1 Method name: Kinematic_Wave Manning flag: 1 Law of Wall flag: 0 Time step: Scalar 6.00000000 (sec) D8 flow code: Grid Treynor_flow.rtg (none) D8 slope: Grid Treynor_slope.rtg (m/m) Manning N: Grid Treynor_chan-n.rtg (s/m^(1/3)) Bed width: Grid Treynor_chan-w.rtg (m) Bank angle: Grid Treynor_chan-a.rtg (deg) Init. depth: Scalar 0.00000000 (m) Sinuosity: Scalar 1.00000000 (m/m) Save grid timestep: Scalar 60.00000000 (sec) Save Q grids: 1 Case5_2D-Q.rts (m^3/s) Save u grids: 0 Case5_2D-u.rts (m/s) Save d grids: 0 Case5_2D-d.rts (m) Save f grids: 0 Case5_2D-f.rts (none) Save pixels timestep: Scalar 60.00000000 (sec) Save Q pixels: 1 Case5_0D-Q.txt (m^3/s) Save u pixels: 0 Case5_0D-u.txt (m/s) Save d pixels: 0 Case5_0D-d.txt (m) Save f pixels: 0 Case5_0D-f.txt (none)  
U
The model is driven by inputs of air temperature, precipitation, wind speed, humidity and radiation at time steps sufficient to resolve the diurnal cycle (six hours or less)  +
1
The model takes as input (i) p, dynamics asymmetry parameter; (ii) L, the hillslope length; (iii) H, the hillslope height; (iv) N, the number of steps of the simulation; and (v) a choice of initial hillslope profile.  +
B
The use of this coupled model framework requires Barrier3D v2.0 (https://doi.org/10.5281/zenodo.7604068) and PyBMFT-C v1.0 (https://doi.org/10.5281/zenodo.7853803). 1) barrier3d-parameters.yaml: yaml-formatted text file containing initial values for all static and dynamic variables 2) barrier3d-elevation.npy: Initial interior elevation grid 3) barrier3d-storms.npy: Stochastically generated sequence of storms 4) barrier3d-dunes.npy: Initial height of dune cells 5) barrier3d-growthparam.npy: Alongshore varying growth rates for the dune domain 6) Equilibrium Bay Depth.mat: Array of bay depths for a given combination of rate of sea level rise and external sediment supply 7) MarshStrat.mat: Initial marsh stratigraphy  +
F
There are four input data files to be read by subroutine init. The first file consists of control parameters and is named funwave2d.data for 2-D programs and funwave1d.data for 1-D programs. With the use of intrinsic function NAMELIST in the program, variable name and its corresponding data can be put together. The logical device number for this file is chosen as 1 and the form of the files is ASCII. The other three input files are water depth data, initial wave field data, and time series of source function amplitude, respectively. Their names are represented by f1n, f2n and f3n which are specified in funwave2d.data or funwave1d.data. Binary format is used for these three files to increase I/O speed for 2-D prograams while ASCII format is used for 1-D programs. Since the record length of data for binary format in SGI computer is different from other machines, a control parameter imch is used in funwave2d.data or funwave1d.data to adjust for different computers.  +
R
There are hundreds of input parameters for the physical, ecosystem, and sediment models. In addition, there are input scripts for floats, stations, model coupling, and data assimilation.  +
C
There are hundreds of input parameters for the physical, ecosystem, and sediment models. In addition, there are input scripts for floats, stations, model coupling, and data assimilation.  +
There are hundreds of input parameters for the physical, ecosystem, and sediment models. In addition, there are input scripts for floats, stations, model coupling, and data assimilation.  +
U
There are hundreds of input parameters for the physical, ecosystem, and sediment models. In addition, there are input scripts for floats, stations, model coupling, and data assimilation.  +
T
These inputs must be provided as grids: *flow_codes = D8 flow codes (Jenson 1984 convention), (NE,E,SE,S,SW,W,NW,N) → (1,2,4,8,16,32,64,128) *bed_slope = slope of the channel bed or hillslope (m / m) *Manning_n = Manning roughness parameter (s / m^(1/3)) *bed_width = bed width for trapezoidal cross-section (m) *bank_angle = bank angle for trapezoid (deg) (from vertical) These inputs can be provided as scalars or grids: *sinuosity = channel sinuosity (m/m) (along-channel / straight length) *init_depth = initial water depth (m) (See HTML help) Grids must be saved in binary files with no header. All variables should be stored as 4-byte, floating-point numbers (IEEE standard) except flow codes, which are unsigned, 1-byte integers. The behavior of this component is controlled with a configuration (CFG) file, which may point to other files that contain input data. Here is a sample configuration (CFG) file for this component: Method code: 2 Method name: Diffusive_Wave Manning flag: 1 Law of Wall flag: 0 Time step: Scalar 6.00000000 (sec) D8 flow code: Grid Treynor_flow.rtg (none) D8 slope: Grid Treynor_slope.rtg (m/m) Manning N: Grid Treynor_chan-n.rtg (s/m^(1/3)) Bed width: Grid Treynor_chan-w.rtg (m) Bank angle: Grid Treynor_chan-a.rtg (deg) Init. depth: Scalar 0.00000000 (m) Sinuosity: Scalar 1.00000000 (m/m) Save grid timestep: Scalar 60.00000000 (sec) Save Q grids: 1 Case5_2D-Q.rts (m^3/s) Save u grids: 0 Case5_2D-u.rts (m/s) Save d grids: 0 Case5_2D-d.rts (m) Save f grids: 0 Case5_2D-f.rts (none) Save pixels timestep: Scalar 60.00000000 (sec) Save Q pixels: 1 Case5_0D-Q.txt (m^3/s) Save u pixels: 0 Case5_0D-u.txt (m/s) Save d pixels: 0 Case5_0D-d.txt (m) Save f pixels: 0 Case5_0D-f.txt (none)  
O
This component operates on a Landlab RasterModelGrid instance, and requires that the user has downloaded and installed Landlab. Parameters listed below are required. Ones noted as (optional) will revert to the prescribed default values as described in the documentation. Input parameters include: grid : A Landlab RasterModelGrid, representing the topography h_init : (optional) Thickness of initial thin layer of water on the surface alpha : (optional) Time step coeffcient, described in Bates et al., 2010 and de Almeida et al., 2012. mannings_n : (optional) Manning's roughness coefficient. g : (optional) Acceleration due to gravity (m/s^2). theta : (optional) Weighting factor from de Almeida et al., 2012. rainfall_intensity : (optional) Rainfall intensity.  +
C
This data component serves as input climate data for components in the permafrost toolbox. It requires specification of time period, time step (monthly), and of grid dimensions. To set the grid to a desired region x=25 means 25 degrees east of the international date line y=37 means 37 degrees south of the north pole (30 by 23) means a grid that is "30 degrees E/W by 23 degrees N/S"  +
This is a data component that serves as input to a set of components in the permafrost modeling toolkit  +
S
This model expects that the user has downloaded and installed the Landlab modeling framework. It operates on a Landlab RasterModelGrid instance. Other input parameters include: hydraulic_conductivity soil_bulk_density rock_density initial_soil_moisture_content soil_type volume_fraction_coarse_fragments coarse_sed_flag surface_water_minimum_depth soil_pore_size_distribution_index soil_bubbling_pressure wetting_front_capillary_pressure_head  +
A
Three input maps at ESRI ASCII format: # Flow Direction (ArcGIS format); # Contributing Area (Flow Accumulation-ArcGIS format); # Slope (ArcGIS format);  +
F
Tides, Winds, Heat flux, Preccipitation/Evaporation, River discharges, Groundwater, O.B. fluxes  +
2
Time (s) and space (m) descretisation steps, Wind friction coefficient (dimensionless), Chezy Bed friction coefficient (units?), Wind velocity components in x and y (m/s), Coriolis parameter (1/s), Max number of grid points along x direction, Max number of grid points along y direction, Max number of time steps desired, Number of coastal and open boundary nodes, Dependent variables are saved every dat timesteps, Amplitude of the incident long waves (m), Period of the incident long waves (s), Starting node number of the computation field in the jth row, Ending node number of the computation field in the jth row.  +
D
Timestep (sec.), Spacestep (m), Flow velocity at river mouth (m/s), Width and depth of river mouth (m), Bedload dumping rate (m/s), Concentration (gm/m3 of coarse and med silt, Concentration (gm/m3) of fine silt and clay)  +
W
Timestep (sec.), dm, deltax & deltay, Wave period and max number of apexes  +
B
To generate a grid, the user should input the boundary node information, boundary segment information and hole (or island) information in form of a .poly file, as described in the Triangle manual (http://www.cs.cmu.edu/~quake/triangle.poly.html). These input nodes and segments in the .poly file are forced into the triangulation of the domain. Alternatively (and this is a strong point of BATTRI), all this information can be created from only a bathymetric dataset with the use of the editing options of BATTRI (see Option 0 in Running BATTRI section). This process may require manual deleting of unnecessary segments and nodes, closing of islands by segment adding, addition of an open ocean boundary segment, etc. As a starting point, ordered digital coastline node data can be extracted from the National Geophysical Data Center's webpage (https://www.ngdc.noaa.gov/mgg/shorelines/) at various scales ranging from 1:70,000 to 1:5,000,000. If the coastline is very highly resolved, causing an excessive number of elements along the shoreline, the routine "xy_simplify.m" can be used to reduce the number of nodes to the desired resolution. Remember to format this data into a .poly file, consisting of nodes and segments, before inputting into BATTRI. To refine an already created grid, the user can input the above referenced information either in the form of a previously created .poly file or in the form of NML standard .nod, .ele and .bat files (see next section, Running BATTRI).  +
T
Too many to list here. Please see the HTML help system and the wiki pages for all of the process components.  +
Q
Too many to mention here  +
M
Too many to mention here, see: http://water.usgs.gov/nrp/gwsoftware/modflow2000/modflow2000.html  +
H
Topography 3D temperature and salinity field 2D sea surface height Tidal components River discharge 2D Meteo forcing  +
C
Topography z(x,y) or parameters describing a topographic surface; rate coefficients; switches for activating options and choosing between alternative transport/erosion formulas. Uses a formatted text file for input of parameters.  +
I
Topography, mass balance  +
P
Topography, temperature, salinity, wind, heat/salt fluxes. Determine by user and application.  +
Two input files, all in ESRI ASCII format: # DEM # Flow direction grid (D8) To change the input files, edit lines 19 for DEM and line 20 for Flow-direction in the source code.  +
O
Two text files are required as input for analysis of each vertical succession of strata in the following formats. Vertical thickness and facies succession: <unit thickness (m)> <facies code (integer)> <unit thickness (m)> <facies code (integer)> ... <unit thickness (m)> <facies code (integer)> EOF e.g. 0.61 9 0.05 5 0.52 1 ... 1.21 3 Facies codes, colour coding and names: <Facies code 1 (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> <Facies code 2 (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> ... <Facies code n (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> e.g. 1 0.55 0.32 0 clay 2 1 0.65 0 silt 3 0.93 0.91 0.8 fineSST 4 1 0.95 0.71 medSST 5 0.81 0.71 0.23 crsSST  +
Two text files are required as input for analysis of each vertical succession of strata in the following formats. Vertical thickness and facies succession: <unit thickness (m)> <facies code (integer)> <unit thickness (m)> <facies code (integer)> ... <unit thickness (m)> <facies code (integer)> EOF e.g. 0.61 9 0.05 5 0.52 1 ... 1.21 3 Facies codes, colour coding and names: <Facies code 1 (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> <Facies code 2 (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> ... <Facies code n (integer)> <red (float)> <green (float)> <blue (float)> <facies name (string)> e.g. 1 0.55 0.32 0 clay 2 1 0.65 0 silt 3 0.93 0.91 0.8 fineSST 4 1 0.95 0.71 medSST 5 0.81 0.71 0.23 crsSST  +
Typical inputs of a 1D river profile model (resolution, river length, model time, rock-uplift, erodibility, grain size characteristics)  +
F
USer-specified data on temperature distributions We present the Frost model with a subsampled version of the CRU-NCEP reanalysis data for the region of Alaska. The geographical extent of this dataset has been reduced to greatly reduce the number of ocean, Aleatian Islands or Canadian pixels. The spatial resolution has been reduced by a factor of 13 in each direction, resulting in an effective pixel resolution of about 10km. The data are monthly average temperatures for each month from January 1901 through December 2009.  +
G
Upper Boundary (Air temperature) Lower Boundary (Temperature gradient) Initial conditions (Temperature distribution at initial time) Thermo-physical properties  +
P
Users can upload ILAMB-compatible model outputs and benchmark datasets to the PBS. More information can be found in the PBS documentation, available at https://permamodel.github.io/pbs.  +
S
Various flow properties; sizes, densities and proportions of all grain fractions making up the active layer of the bed  +
C
Various text files defining initial conditions and parameter values  +
G
Water discharge inputs, sediment discharge inputs, base-level change, along-channel sources/sinks of sediment, grid of downstream distances  +
D
Watershed hypsometry and detrital ages  +
O
Wave height, wave period, wave theory, water depth See: waveDict in Reference folder  +
L
Width of loading element (m), value for flexural rigidity (Nm), Number of loading events, Number of loading elements for event J (position, height (m) of loading element, density (kg/m3))  +
Width of loading element (meters), value for flexural rigidity (Nm), number of nodes describing baseline position, number of loading events, number of loading elements for event, number of hidden load elements.  +
P
Wind speed, storm duration, sediment characteristics, tidal currents  +
B
Wind, rivers, submerged inlets, lateral open boundaries, surface heat flux, a limited number of numerical schemes can be chosen, ...  +
S
X,Y coordinates of centerline, hydrologic and sedimentary parameters, as detailed in the model documentation  +
B
Yield/shear strength, viscosity, bulk density, shape of failed material; bathymetry  +
C
You can vary the initial slope, wave periods, wave heights, and sediment fall velocity (a proxy for sediment size).  +
G
You need a DEM, a watershed outline (shapefile), and a point shapefile identifying the top of the streams you are interested in. You also need to input a curvature threshold value and a drainage area threshold value. The curvature threshold is the key to identifying knickpoints (if it is too low you will not see very many knicks, and if it is too high you will identify too many). The drainage area threshold is used to exclude knickpoints that are not in the main channel you are interested in.  +
S
alpha,Ua, Ub, p, Theta, k, epsilon, omega  +
M
channel width (m), channel depth (m), padding (number of nodepoints along centerline), sampling distance along centerline, number of iterations, dimensionless Chezy friction factor, threshold distance at which cutoffs occur, migration rate constant (m/s), vertical slope-dependent erosion rate constant (m/s), time step (s), density of water (kg/m3), which time steps will be saved, approximate number of bends you want to model, initial slope (setting this to non-zero results in instabilities in long runs)  +
R
climatology  +
C
daily water discharge series;daily sediment flux series; averaged channel cross-sectional depth, averaged channel cross-sectional width; floodplain width; manning coefficients of the channel and floodplain; longitudinal channel slope; Channel bed's super-elevation above the floodplain where sedimentation rate is close to 0; M-coefficient for erosion rate for the bottom of crevasse splay; M-coefficient for erosion rate for the two side slopes of crevasse splay; critical velocity for erosion; critical velocity for deposition; width of dike at the root; cross valley slope; settling velocity of suspended load in the channel.  +
W
depending on configuration, the model can be run with Air temperature and Precipitation only. In the most complex configuration, the model will also need vapor pressure, solar radiation, wind, daily minimum and maximum temperature. Built-in functions allow trading input variables (e.g. use cloud cover instead of solar radiation).  +
depending on configuration, the model can be run with Air temperature and Precipitation only. In the most complex configuration, the model will also need vapor pressure, solar radiation, wind, daily minimum and maximum temperature. Built-in functions allow trading input variables (e.g. use cloud cover instead of solar radiation).  +
T
describe input parameters: Initial longitudinal profile and estimated surface/subsurface grain size; sediment input, including both rate and grain size distribution, and typically at a long-term-avearged basis; and water discharge, typically daily average discharge.  +
M
dissolved inorganic carbon (DIC), total alkalinity (Alk), temperature, and salinity as well as concentrations of total dissolved inorganic phosphorus and silicon concentrations.  +
F
elev : array_like<br> Elevations at nodes. neighbors_at_node : array_like (num nodes, max neighbors at node)<br> For each node, the link IDs of active links. links_at_node : array_like (num nodes, max neighbors at node)<br> link_dir_at_node: array_like (num nodes, max neighbors at node)<br> IDs of the head node for each link. link_slope : array_like<br> slope of each link, defined POSITIVE DOWNHILL (i.e., a negative value means the link runs uphill from the fromnode to the tonode). baselevel_nodes : array_like, optional<br> IDs of open boundary (baselevel) nodes. partition_method: string, optional<br> Method for partitioning flow. Options include 'slope' (default) and 'square_root_of_slope'.  +
T
equilibrium bed profile, sediment size, probabilities of instantaneous bed elevations and of particle entrainment, area of the patch of tracers installed on the bed, entrainment rate of particles in bedload tranport, particle step lenght  +
flow forcing; sediment properties ( density, grain size, etc.); fluid properties; coefficients for carrier fluid turbulence, and parameters for kinetic theory for granular flow; model selection for kinetic theory, such as granular pressure, conductivity, and viscosity model, etc. More details are described in the user maunal.  +
F
frac_spacing : int, optional<br> Average spacing of fractures (in grid cells) (default = 10) seed : int, optional<br> Seed used for random number generator (default = 0)  +
T
fraction of trees that move sediment when they die, # of plots to simulate, # of years to simulate, with or without growth of Chestnut.  +
I
geometry of ice sheets, ice shelves, land-ice, ocean boundaries; material parameters; climate forcings (i.e surface mass balance); basal friction at the ice/bed interface; flightlines; errors; boundaries; grids; preview images  +
H
grid : Landlab Model Grid instance, required<br><br> save_full_df: bool<br> Flag indicating whether to create the ``full_hack_dataframe``.<br> **kwds :<br> Values to pass to the ChannelProfiler.  +
C
grid : Landlab Model Grid instance, required<br><br> channel_definition_field : field name as string<br> Name of field used to identify the outlet and headwater nodes of the channel network. Default is "drainage_area". minimum_outlet_threshold : float, optional<br> Minimum value of the *channel_definition_field* to define a watershed outlet. Default is 0. minimum_channel_threshold : float, optional<br> Value to use for the minimum drainage area associated with a plotted channel segment. Default values 0. number_of_watersheds : int, optional<br> Total number of watersheds to plot. Default value is 1. If value is greater than 1 and outlet_nodes is not specified, then the number_of_watersheds largest watersheds is based on the drainage area at the model grid boundary. If given as None, then all grid cells on the domain boundary with a stopping field (typically drainage area) greater than the minimum_outlet_threshold in area are used. main_channel_only : Boolean, optional<br> Flag to determine if only the main channel should be plotted, or if all stream segments with drainage area less than threshold should be plotted. Default value is True. outlet_nodes : length number_of_watersheds iterable, optional<br> Length number_of_watersheds iterable containing the node IDs of nodes to start the channel profiles from. If not provided, the default is the number_of_watersheds node IDs on the model grid boundary with the largest terminal drainage area. cmap : str<br> A valid matplotlib cmap string. Default is "viridis".  +
L
grid : Landlab ModelGrid<br> thicknesses : ndarray of shape `(n_layers, )` or `(n_layers, n_nodes)`<br> Values of layer thicknesses from surface to depth. Layers do not have to have constant thickness. Layer thickness can be zero, though the entirety of Lithology must have non-zero thickness. ids : ndarray of shape `(n_layers, )` or `(n_layers, n_nodes)`<br> Values of rock type IDs corresponding to each layer specified in **thicknesses**. A single layer may have multiple rock types if specified by the user attrs : dict<br> Rock type property dictionary. See class docstring for example of required format. layer_type : str, optional<br> Type of Landlab layers object used to store the layers. If MaterialLayers (default) is specified, then erosion removes material and does not create a layer of thickness zero. If EventLayers is used, then erosion removes material and creates layers of thickness zero. Thus, EventLayers may be appropriate if the user is interested in chronostratigraphy. dz_advection : float, `(n_nodes, )` shape array, or at-node field array optional<br> Change in rock elevation due to advection by some external process. This can be changed using the property setter. Dimensions are in length, not length per time. rock_id : value or `(n_nodes, )` shape array, optional<br> Rock type id for new material if deposited. This can be changed using the property setter.  +
S
grid : ModelGrid<br> A Landlab ModelGrid. initial_time : float, int, optional<br> The initial time. The unit of time is not considered within the component, with the exception that time is logged in the record. The default value of this parameter is 0.  +
P
grid : ModelGrid<br> A Landlab grid (optional). If provided, storm intensities will be stored as a grid scalar field as the component simulates storms. mean_storm_duration : float<br> Average duration of a precipitation event. mean_interstorm_duration : float<br> Average duration between precipitation events. mean_storm_depth : float<br> Average depth of precipitation events. total_t : float, optional<br> If generating a time series, the total amount of time. delta_t : float or None, optional<br> If you want to break up storms into determined subsections using yield_storm_interstorm_duration_intensity, a delta_t is needed. random_seed : int or float, optional<br> Seed value for random-number generator.  +
L
grid : ModelGrid<br> A Landlab grid. surface : field name at node or array of length node<br> The surface to direct flow across. method : {'Steepest', 'D8'}<br> Whether or not to recognise diagonals as valid flow paths, if a raster. Otherwise, no effect. fill_flat : bool<br> If True, pits will be filled to perfectly horizontal. If False, the new surface will be slightly inclined to give steepest descent flow paths to the outlet. fill_surface : bool<br> Sets the field or array to fill. If fill_surface is surface, this operation occurs in place, and is faster. Note that the component will overwrite fill_surface if it exists; to supply an existing water level to it, supply that water level field as surface, not fill_surface. redirect_flow_steepest_descent : bool<br> If True, the component outputs modified versions of the 'flow__receiver_node', 'flow__link_to_receiver_node', 'flow__sink_flag', and 'topographic__steepest_slope' fields. These are the fields output by the FlowDirector components, so set to True if you wish to pass this LakeFiller to the FlowAccumulator, or if you wish to work directly with the new, correct flow directions and slopes without rerunning these components on your new surface. Ensure the necessary fields already exist, and have already been calculated by a FlowDirector! This also means you need to instantiate your FlowDirector **before** you instantiate the LakeMapperBarnes. Note that the new topographic__steepest_slope will always be set to zero, even if fill_flat=False (i.e., there is actually a miniscule gradient on the new topography, which gets ignored). reaccumulate_flow : bool<br> If True, and redirect_flow_steepest_descent is True, the run method will (re-)accumulate the flow after redirecting the flow. This means the 'drainage_area', 'surface_water__discharge', 'flow__upstream_node_order', and the other various flow accumulation fields (see output field names) will now reflect the new drainage patterns without having to manually reaccumulate the discharge. If True but redirect_flow_steepest_descent is False, raises an ValueError. ignore_overfill : bool<br> If True, suppresses the Error that would normally be raised during creation of a gentle incline on a fill surface (i.e., if not fill_flat). Typically this would happen on a synthetic DEM where more than one outlet is possible at the same elevation. If True, the was_there_overfill property can still be used to see if this has occurred. track_lakes : bool<br> If True, the component permits a slight hit to performance in order to explicitly track which nodes have been filled, and to enable queries on that data in retrospect. Set to False to simply fill the surface and be done with it.  
F
grid : ModelGrid<br> A Landlab grid. surface : field name at node or array of length node<br> The surface to direct flow across. flow_director : string, class, instance of class.<br> A string of method or class name (e.g. 'D8' or 'FlowDirectorD8'), an uninstantiated FlowDirector class, or an instance of a FlowDirector class. This sets the method used to calculate flow directions.<br> Default is 'FlowDirectorSteepest' runoff_rate : field name, array, or float, optional (m/time)<br> If provided, sets the runoff rate and will be assigned to the grid field 'water__unit_flux_in'. If a spatially and and temporally variable runoff rate is desired, pass this field name and update the field through model run time. If both the field and argument are present at the time of initialization, runoff_rate will *overwrite* the field. If neither are set, defaults to spatially constant unit input. Both a runoff_rate array and the 'water__unit_flux_in' field are permitted to contain negative values, in which case they mimic transmission losses rather than e.g. rain inputs. depression_finder : string, class, instance of class, optional<br> A string of class name (e.g., 'DepressionFinderAndRouter'), an uninstantiated DepressionFinder class, or an instance of a DepressionFinder class. This sets the method for depression finding. **kwargs : any additional parameters to pass to a FlowDirector or DepressionFinderAndRouter instance (e.g., partion_method for FlowDirectorMFD). This will have no effect if an instantiated component is passed using the flow_director or depression_finder keywords.  +
S
grid : ModelGrid<br> A Landlab model grid of any type. number_of_years : int<br> The number of years over which to generate storms. orographic_scenario : {None, 'Singer', func}<br> Whether to use no orographic rule, or to adopt S&M's 2017 calibration for Walnut Gulch. Alternatively, provide a function here that turns the provided elevation of the storm center into a length-11 curve weighting to select which orographic scenario to apply.  +
L
grid : ModelGrid<br> A Landlab square cell raster grid object latero_mech : string, optional (defaults to UC)<br> Lateral erosion algorithm, choices are "UC" for undercutting-slump model and "TB" for total block erosion alph : float, optional (defaults to 0.8)<br> Parameter describing potential for deposition, dimensionless Kv : float, node array, or field name<br> Bedrock erodibility in vertical direction, 1/years Kl_ratio : float, optional (defaults to 1.0)<br> Ratio of lateral to vertical bedrock erodibility, dimensionless solver : string<br> Solver options:<br> (1) 'basic' (default): explicit forward-time extrapolation. Simple but will become unstable if time step is too large or if bedrock erodibility is very high.<br> (2) 'adaptive': subdivides global time step as needed to prevent slopes from reversing. inlet_node : integer, optional<br> Node location of inlet (source of water and sediment) inlet_area : float, optional<br> Drainage area at inlet node, must be specified if inlet node is "on", m^2 qsinlet : float, optional<br> Sediment flux supplied at inlet, optional. m3/year flow_accumulator : Instantiated Landlab FlowAccumulator, optional<br> When solver is set to "adaptive", then a valid Landlab FlowAccumulator must be passed. It will be run within sub-timesteps in order to update the flow directions and drainage area.  +
F
grid : ModelGrid<br> A grid of type RasterModelGrid. surface : field name at node or array of length node, optional<br> The surface to direct flow across, default is field at node: topographic__elevation.  +
grid : ModelGrid<br> A grid of type Voroni. elevs : field name at node or array of length node<br> The surface to direct flow across. baselevel_nodes : array_like, optional<br> IDs of open boundary (baselevel) nodes.  +
P
grid : ModelGrid<br> A grid. method : {'D8', 'D4'}, optional<br> Routing method ('D8' is the default). This keyword has no effect for a Voronoi-based grid. flow_equation : {'default', 'Manning', 'Chezy'}, optional<br> If Manning or Chezy, flow is routed according to the Manning or Chezy equation; discharge is allocated to multiple downslope nodes proportional to the square root of discharge; and a water__depth field is returned. If default, flow is allocated to multiple nodes linearly with slope; and the water__depth field is not calculated. Chezys_C : float, optional<br> Required if flow_equation == 'Chezy'. Mannings_n : float, optional<br> Required if flow_equation == 'Manning'.  +
F
grid : ModelGrid<br> A grid. surface : field name at node or array of length node, optional<br> The surface to direct flow across, default is field at node: topographic__elevation.  +
S
grid : ModelGrid<br> A grid. surface : field name at node or array of length node<br> The surface to fill. method : {'Steepest', 'D8'}<br> Whether or not to recognise diagonals as valid flow paths, if a raster. Otherwise, no effect. fill_flat : bool<br> If True, pits will be filled to perfectly horizontal. If False, the new surface will be slightly inclined (at machine precision) to give steepest descent flow paths to the outlet, once they are calculated. ignore_overfill : bool<br> If True, suppresses the Error that would normally be raised during creation of a gentle incline on a fill surface (i.e., if not fill_flat). Typically this would happen on a synthetic DEM where more than one outlet is possible at the same elevation. If True, the was_there_overfill property can still be used to see if this has occurred.  +
D
grid : RasterModelGrid A landlab grid. K_sp : float, optional K in the stream power equation (units vary with other parameters - if used with the de Almeida equation it is paramount to make sure the time component is set to *seconds*, not *years*!) m_sp : float, optional Stream power exponent, power on discharge n_sp : float, optional Stream power exponent, power on slope uplift_rate : float, optional changes in topographic elevation due to tectonic uplift entrainment_threshold : float, optional threshold for sediment movement slope : str Field name of an at-node field that contains the slope.  +
C
grid : RasterModelGrid A landlab RasterModelGrid.<br> reference_concavity : float<br> The reference concavity to use in the calculation. min_drainage_area : float (m**2)<br> The drainage area down to which to calculate chi. reference_area : float or None (m**2)<br> If None, will default to the mean core cell area on the grid. Else, provide a value to use. Essentially becomes a prefactor on the value of chi. use_true_dx : bool (default False)<br> If True, integration to give chi is performed using each value of node spacing along the channel (which can lead to a quantization effect, and is not preferred by Taylor & Royden). If False, the mean value of node spacing along the all channels is assumed everywhere. clobber : bool (default False)<br> Raise an exception if adding an already existing field.  +
Z
grid : RasterModelGrid<br> A Landlab RasterModelGrid. zone_function : function<br> A function that return a mask of the total zone extent. The first input parameter of this function must be `grid`. minimum_area : float, optional<br> The minimum area of the zones that will be created. neighborhood_structure : {'D8', 'D4'}, optional<br> The structure describes how zones are identified. The default, 'D8' evaluates the eight neighboring nodes. The diagonal neighboring nodes are excluded when 'D4' is selected. initial_time : float, int, optional<br> The initial time. The unit of time is unspecified within the controller. The default is 0. kwargs<br> Keyword arguments for ``zone_function``. Do not include ``grid`` in kwargs because ``grid``, the first parameter of this method, is automatically added to ``kwargs``.  +
P
grid : RasterModelGrid<br> A Landlab raster grid nonlinear_diffusivity : float, array or field name<br> The nonlinear diffusivity S_crit : float (radians)<br> The critical hillslope angle rock_density : float (kg*m**-3)<br> The density of intact rock sed_density : float (kg*m**-3)<br> The density of the mobile (sediment) layer  +
O
grid : RasterModelGrid<br> A grid. dt : float, optional<br> Time step. Either set when called or the component will do it for you.  +
F
grid : RasterModelGrid<br> A grid. eet : float, optional<br> Effective elastic thickness (m). youngs : float, optional<br> Young's modulus. method : {'airy', 'flexure'}, optional<br> Method to use to calculate deflections. rho_mantle : float, optional<br> Density of the mantle (kg / m^3). gravity : float, optional<br> Acceleration due to gravity (m / s^2). n_procs : int, optional<br> Number of processors to use for calculations.  +
D
grid : RasterModelGrid<br> A landlab RasterModelGrid. routing : str<br> If grid is a raster type, controls whether lake connectivity can occur on diagonals ('D8', default), or only orthogonally ('D4'). Has no effect if grid is not a raster. pits : array or str or None, optional<br> If a field name, the boolean field containing True where pits. If an array, either a boolean array of nodes of the pits, or an array of pit node IDs. It does not matter whether or not open boundary nodes are flagged as pits; they are never treated as such. Default is 'flow__sink_flag', the pit field output from the :py:mod:`FlowDirectors <landlab.components.flow_director>`. reroute_flow : bool, optional<br> If True (default), and the component detects the output fields in the grid produced by the FlowAccumulator component, this component will modify the existing flow fields to route the flow across the lake surface(s).  +
S
grid : RasterModelGrid<br> A landlab RasterModelGrid. reference_concavity : float<br> The reference concavity to use in the calculation. min_drainage_area : float (m**2; default 1.e6)<br> The minimum drainage area above which steepness indices are calculated. Defaults to 1.e6 m**2, per Wobus et al. 2006. elev_step : float (m; default 0.)<br> If >0., becomes a vertical elevation change step to use to discretize the data (per Wobus). If 0., all nodes are used and no discretization happens. discretization_length : float (m; default 0.)<br> If >0., becomes the lengthscale over which to segment the profiles - i.e., one different steepness index value is calculated every discretization_length. If only one (or no) points are present in a segment, it will be lumped together with the next segment. If zero, one value is assigned to each channel node.  +
grid : a ModelGrid<br> A grid. K_sp : float (time unit must be *years*)<br> K in the stream power equation; the prefactor on the erosion equation (units vary with other parameters). g : float (m/s**2)<br> Acceleration due to gravity. rock_density : float (Kg m**-3)<br> Bulk intact rock density. sediment_density : float (Kg m**-3)<br> Typical density of loose sediment on the bed. fluid_density : float (Kg m**-3)<br> Density of the fluid. runoff_rate : float, array or field name (m/s)<br> The rate of excess overland flow production at each node (i.e., rainfall rate less infiltration). pseudoimplicit_repeats : int<br> Number of loops to perform with the pseudoimplicit iterator, seeking a stable solution. Convergence is typically rapid. return_stream_properties : bool<br> Whether to perform a few additional calculations in order to set the additional optional output fields, 'channel__width', 'channel__depth', and 'channel__discharge' (default False). sed_dependency_type : {'generalized_humped', 'None', 'linear_decline', 'almost_parabolic'}<br> The shape of the sediment flux function. For definitions, see Hobley et al., 2011. 'None' gives a constant value of 1. NB: 'parabolic' is currently not supported, due to numerical stability issues at channel heads. Qc : {'power_law', 'MPM'}<br> Whether to use simple stream-power-like equations for both sediment transport capacity and erosion rate, or more complex forms based directly on the Meyer-Peter Muller equation and a shear stress based erosion model consistent with MPM (per Hobley et al., 2011). If ``sed_dependency_type == 'generalized_humped'``...<br> kappa_hump : float<br> Shape parameter for sediment flux function. Primarily controls function amplitude (i.e., scales the function to a maximum of 1). Default follows Leh valley values from Hobley et al., 2011. nu_hump : float<br> Shape parameter for sediment flux function. Primarily controls rate of rise of the "tools" limb. Default follows Leh valley values from Hobley et al., 2011. phi_hump : float<br> Shape parameter for sediment flux function. Primarily controls rate of fall of the "cover" limb. Default follows Leh valley values from Hobley et al., 2011. c_hump : float<br> Shape parameter for sediment flux function. Primarily controls degree of function asymmetry. Default follows Leh valley values from Hobley et al., 2011. If ``Qc == 'power_law'``...<br> m_sp : float<br> Power on drainage area in the erosion equation. n_sp : float<br> Power on slope in the erosion equation. K_t : float (time unit must be in *years*)<br> Prefactor in the transport capacity equation. m_t : float<br> Power on drainage area in the transport capacity equation. n_t : float<br> Power on slope in the transport capacity equation. if ``Qc == 'MPM'``...<br> C_MPM : float<br> A prefactor on the MPM relation, allowing tuning to known sediment saturation conditions (leave as 1. in most cases). a_sp : float<br> Power on shear stress to give erosion rate. b_sp : float<br> Power on drainage area to give channel width. c_sp : float<br> Power on drainage area to give discharge. k_w : float (unit variable with b_sp)<br> Prefactor on A**b_sp to give channel width. k_Q : float (unit variable with c_sp, but time unit in *seconds*)<br> Prefactor on A**c_sp to give discharge. mannings_n : float<br> Manning's n for the channel. threshold_shear_stress : None or float (Pa)<br> The threshold shear stress in the equation for erosion rate. If None, implies that *set_threshold_from_Dchar* is True, and this parameter will get set from the Dchar value and critical Shields number. Dchar :None, float, array, or field name (m)<br> The characteristic grain size on the bed, that controls the relationship between critical Shields number and critical shear stress. If None, implies that *set_Dchar_from_threshold* is True, and this parameter will get set from the threshold_shear_stress value and critical Shields number. set_threshold_from_Dchar : bool<br> If True (default), threshold_shear_stress will be set based on Dchar and threshold_Shields. set_Dchar_from_threshold : bool<br> If True, Dchar will be set based on threshold_shear_stress and threshold_Shields. Default is False. threshold_Shields : None or float<br> The threshold Shields number. If None, implies that *slope_sensitive_threshold* is True. slope_sensitive_threshold : bool<br> If True, the threshold_Shields will be set according to 0.15 * S ** 0.25, per Lamb et al., 2008 & Hobley et al., 2011. flooded_depths : array or field name (m)<br> Depths of flooding at each node, zero where no lake. Note that the component will dynamically update this array as it fills nodes with sediment (...but does NOT update any other related lake fields).  
W
grid size, end time, initial slope, erodibility, climate (rainfall rate), tectonic (uplift rate and break point)  +
D
grid: ModelGrid Landlab ModelGrid object linear_diffusivity: float, optional. Hillslope diffusivity, m**2/yr Default = 1.0 slope_crit: float, optional Critical gradient parameter, m/m Default = 1.0 soil_transport_decay_depth: float, optional characteristic transport soil depth, m Default = 1.0 nterms: int, optional. default = 2 number of terms in the Taylor expansion. Two terms (default) gives the behavior described in Ganti et al. (2012).  +
grid: ModelGrid Landlab ModelGrid object linear_diffusivity: float Hillslope diffusivity, m**2/yr soil_transport_decay_depth: float characteristic transport soil depth, m  +
E
grid: ModelGrid<br> Landlab ModelGrid object soil_production__maximum_rate : float<br> Maximum weathering rate for bare bedrock soil_production__decay_depth : float<br> Characteristic weathering depth  +
T
grid: ModelGrid<br> Landlab ModelGrid object linear_diffusivity: float, optional<br> Hillslope diffusivity, m**2/yr Default = 1.0 slope_crit: float, optional<br> Critical slope Default = 1.0 nterms: int, optional. default = 2<br> number of terms in the Taylor expansion. Two terms (Default) gives the behavior described in Ganti et al. (2012). dynamic_dt : boolean (optional, default is False)<br> Keyword argument to turn on or off dynamic time-stepping. if_unstable : string (optional, default is "pass")<br> Keyword argument to determine how potential instability due to slopes that are too high is handled. Options are "pass", "warn", and "raise". courant_factor : float (optional, default = 0.2)<br> Factor to identify stable time-step duration when using dynamic timestepping.  +
V
grid: RasterModelGrid<br> A grid. Blive_init: float, optional<br> Initial value for vegetation__live_biomass. Converted to field. Bdead_init: float, optional<br> Initial value for vegetation__dead_biomass. Coverted to field. ETthreshold_up: float, optional<br> Potential Evapotranspiration (PET) threshold for growing season (mm/d). ETthreshold_down: float, optional<br> PET threshold for dormant season (mm/d). Tdmax: float, optional<br> Constant for dead biomass loss adjustment (mm/d). w: float, optional<br> Conversion factor of CO2 to dry biomass (Kg DM/Kg CO2). WUE: float, optional<br> Water Use Efficiency - ratio of water used in plant water lost by the plant through transpiration (KgCO2Kg-1H2O). LAI_max: float, optional<br> Maximum leaf area index (m2/m2). cb: float, optional<br> Specific leaf area for green/live biomass (m2 leaf g-1 DM). cd: float, optional<br> Specific leaf area for dead biomass (m2 leaf g-1 DM). ksg: float, optional<br> Senescence coefficient of green/live biomass (d-1). kdd: float, optional<br> Decay coefficient of aboveground dead biomass (d-1). kws: float, optional<br> Maximum drought induced foliage loss rate (d-1). method: str<br> Method name. Tr: float, optional<br> Storm duration (hours). Tb: float, optional<br> Inter-storm duration (hours). PETthreshold_switch: int, optional<br> Flag to indiate the PET threshold. This controls whether the threshold is for growth (1) or dormancy (any other value).  +
grid: RasterModelGrid<br> A grid. Pemaxg: float, optional<br> Maximal establishment probability of grass. ING: float, optional<br> Parameter to define allelopathic effect of creosote on grass. ThetaGrass: float, optional<br> Drought resistance threshold of grass. PmbGrass: float, optional<br> Background mortality probability of grass. Pemaxsh: float, optional<br> Maximal establishment probability of shrub. ThetaShrub: float, optional<br> Drought resistance threshold of shrub. PmbShrub: float, optional<br> Background mortality probability of shrub. tpmaxShrub: float, optional<br> Maximum age of shrub (years). Pemaxtr: float, optional<br> Maximal establishment probability of tree. Thetatree: float, optional<br> Drought resistance threshold of tree. PmbTree: float, optional<br> Background mortality probability of tree. tpmaxTree: float, optional<br> Maximum age of tree (years). ThetaShrubSeedling: float, optional<br> Drought resistance threshold of shrub seedling. PmbShrubSeedling: float, optional<br> Background mortality probability of shrub seedling. tpmaxShrubSeedling: float, optional<br> Maximum age of shrub seedling (years). ThetaTreeSeedling: float, optional<br> Drought resistance threshold of tree seedling. PmbTreeSeedling: float, optional<br> Background mortality probability of tree seedling. tpmaxTreeSeedling: float, optional<br> Maximum age of tree seedling (years). method: str, optional<br> Method used. Edit_VegCov: bool, optional<br> If Edit_VegCov=True, an optional field 'vegetation__boolean_vegetated' will be output, (i.e.) if a cell is vegetated the corresponding cell of the field will be 1, otherwise it will be 0.  +
P
grid: RasterModelGrid<br> A grid. method: {'Constant', 'PriestleyTaylor', 'MeasuredRadiationPT', 'Cosine'}, optional<br> Priestley Taylor method will spit out radiation outputs too. priestley_taylor_constant: float, optional<br> Alpha used in Priestley Taylor method. albedo: float, optional<br> Albedo. latent_heat_of_vaporization: float, optional<br> Latent heat of vaporization for water Pwhv (Wd/(m*mm^2)). psychometric_const: float, optional<br> Psychometric constant (kPa (deg C)^-1). stefan_boltzmann_const: float, optional<br> Stefan Boltzmann's constant (W/(m^2K^-4)). solar_const: float, optional<br> Solar constant (W/m^2). latitude: float, optional<br> Latitude (radians). elevation_of_measurement: float, optional<br> Elevation at which measurement was taken (m). adjustment_coeff: float, optional<br> adjustment coeff to predict Rs from air temperature (deg C)^-0.5. lt: float, optional<br> lag between peak TmaxF and solar forcing (days). nd: float, optional<br> Number of days in year (days). MeanTmaxF: float, optional<br> Mean annual rate of TmaxF (mm/d). delta_d: float, optional<br> Calibrated difference between max & min daily TmaxF (mm/d). current_time: float, required only for 'Cosine' method<br> Current time (Years) const_potential_evapotranspiration: float, optional for 'Constant' method<br> Constant PET value to be spatially distributed. Tmin: float, required for 'Priestley Taylor' method<br> Minimum temperature of the day (deg C) Tmax: float, required for 'Priestley Taylor' method<br> Maximum temperature of the day (deg C) Tavg: float, required for 'Priestley Taylor' and 'MeasuredRadiationPT' methods<br> Average temperature of the day (deg C) obs_radiation float, required for 'MeasuredRadiationPT' method<br> Observed radiation (W/m^2)  +
R
grid: RasterModelGrid<br> A grid. method: {'Grid'}, optional<br> Currently, only default is available. cloudiness: float, optional<br> Cloudiness. latitude: float, optional<br> Latitude (radians). albedo: float, optional<br> Albedo. solar_constant: float, optional<br> Solar Constant (W/m^2). clearsky_turbidity: float, optional<br> Clear sky turbidity. opt_airmass: float, optional<br> Optical air mass. current_time: float<br> Current time (years). hour: float, optional<br> Hour of the day. Default is 12 (solar noon)  +
S
grid: RasterModelGrid<br> A grid. runon: float, optional<br> Runon from higher elevation (mm). f_bare: float, optional<br> Fraction to partition PET for bare soil (None). soil_ew: float, optional<br> Residual Evaporation after wilting (mm/day). intercept_cap: float, optional<br> Plant Functional Type (PFT) specific full canopy interception capacity. zr: float, optional<br> Root depth (m). I_B: float, optional<br> Infiltration capacity of bare soil (mm/h). I_V: float, optional<br> Infiltration capacity of vegetated soil (mm/h). pc: float, optional<br> Soil porosity (None). fc: float, optional<br> Soil saturation degree at field capacity (None). sc: float, optional<br> Soil saturation degree at stomatal closure (None). wp: float, optional<br> Soil saturation degree at wilting point (None). hgw: float, optional<br> Soil saturation degree at hygroscopic point (None). beta: float, optional<br> Deep percolation constant = 2*b+3 where b is water retention (None). LAI_max: float, optional<br> Maximum leaf area index (m^2/m^2). LAIR_max: float, optional<br> Reference leaf area index (m^2/m^2). method: str<br> Method used Tr: float, optional<br> Storm duration (hours). Tb: float, optional<br> Inter-storm duration (hours). current_time: float<br> Current time (years).  +
F
grid: landlab model grid<br><br> mean_fire_recurrence : float<br> Average time between fires for a given location<br><br> shape_parameter : float<br> Describes the skew of the Weibull distribution.<br> If shape < 3.5, data skews left.<br> If shape == 3.5, data is normal.<br> If shape > 3.5, data skews right.<br><br> scale_parameter : float, optional<br> Describes the peak of the Weibull distribution, located at the 63.5% value of the cumulative distribution function. If unknown, it can be found using mean fire recurrence value and the get_scale_parameter().  +
G
http://www.clawpack.org/setrun_geoclaw.html http://www.clawpack.org/topo.html  +
P
http://wwwbrr.cr.usgs.gov/projects/SW_MoWS/software/oui_and_mms_s/prms.shtml  +
W
hundreds of physical parameters  +
G
hydraulic conductivity, time resolution, rainfall intensity, the change in the moisture content, wetting front soil suction head  +
S
initial basin configuration, boundary conditions for fluid flow and sediment input, conditions for carbonate producing organisms, sea level changes, temporal changes in boundary conditions  +
P
initial bedrock and glacier topographies, geothermal heat flux, and climate forcing  +
C
integer - type of coordinates (1 - cartesian, otherwise-spherical) DEM file name number of grids enclosed in Master grid enclosed DEMs file names if any still sea threshold minimal flow depth friction coefficient topo flag: 0-wall, otherwise - land inundation depth to place vertical wall, if any time step total amount of steps integer - apply initial deformation to bottom or sea surface integer - flag to continue or stop after input stops (0 for interrupt) number of steps between screenshots number to subsample screenshots in x number to subsample screenshots in y number of timesteps between saving boundary feed to enclosed grids number of steps between maxwave updates number of virtual gages steps between outputs in gage time histories i,j indexes of gage locations on the grid  +
D
land class info,  +
Y
mean bed shear stress, median bed grain size  +
G
model_type: 'grainhill', 'block', or 'facet' (default 'grainhill') number_of_node_rows: # rows number_of_node_columns: # columns cell_width: width of grid cells, m grav_accel: gravitational acceleration, m/s2 friction_coef: dimensionless friction factor, 0 to 1 run_duration: duration of run, years uplift_interval: time interval between uplift events, years dissolution_rate: (facet only) rate coefficient for dissolution, 1/years disturbance_rate: frequency parameter for soil disturbance, 1/years weathering_rate: frequency parameter for rock weathering, 1/years rock_state_for_uplift: type of material added at base during uplift (7=soil, 8=rock) block_layer_dip_angle: ('block' only) dip angle for layer made of blocks block_layer_thickness: ('block' only) thickness, in cells, of layer layer_left_x: ('block' only) x coordinate of left edge of layer y0_top: ('block' only) if block option selected, y coordinate of top of layer at x=0 fault_x: ('facet' only) x location of fault trace at y=0, m baselevel_rise_interval: ('facet' only) rate of left-side baselevel rise, m/yr opt_rock_collapse: option to have rock cells collapse when undermined save_plots: whether to save any plots to file (True or False) plot_filename: base name for plot files, if used plot_filetype: filename extension for plots (default '.png') plot_interval: interval between plots, years output_interval: interval between file output, years report_interval: real-time interval for reporting on screen, seconds  +
M
G
paleo-landscape, paleo-climate, plate reconstruction  +
R
reach averaged bankfull width, slope, grain size, shields parameter, control function parameters  +
X
rectilinear grid, bathymetry, boundary spectral parameters, water levels, sediment sizes, model parameters  +
P
river centerline XY coordinates  +
M
river channel network, runoff, water demand, reservoir operations  +
see MODFLOW 6 Description of Input/Output at https://water.usgs.gov/water-resources/software/MODFLOW-6  +
T
see documentation along with source code, also available here: https://sites.google.com/site/daniggcc/software/tao  +
see software documentation  +
O
see user documentation  +
see user documentation on website  +
L
soil creep coefficient; initial topography  +
F
start time step, number of time steps to run, settling velocity, Reynolds number, see more details in the user manual.  +
S
water depth, current speed at height z, current direction, wave height, wave period, wave direction, median grain-size, bed slope, sediment density, salinity, temperature  +
W
wind at 10m, air-sea temperature difference, ice concentration, curents and water levels (bathymetry)  +
A
wind waves, soil resistance / shear strength  +
S
wind, air temperature, humidity, pressure, solar and infrared radiation. Oceanic fields from OGCM for initial and boundary conditions  +
B
xml input file calling ASCII files  +
Z
zones : list of Zones<br> The initial SpeciesEvolver Zones where the taxon is located. parent : Taxon, optional<br> A SpeciesEvolver taxon that is the parent taxon. The default value, 'None' indicates no parent. time_to_allopatric_speciation : float, int, optional<br> The delay in model time to speciate following taxon geographic fragmentation, indicated by multiple objects in the attribute, ``zones``. Speciation occurs at the time step when the delay is reached or exceeded. The default value of 0 indicates speciation occurs at the same time step as geographic fragmentation. persists_post_speciation : boolean, optional<br> When 'True', the default, taxon persists despite speciation. When 'False' and following speciation, the taxon is no longer extant.  +