Edit Module questionnaire: Model:TopoFlow-Infiltration-Green-Ampt

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Module questionnaire[edit]

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Module type

Also known as:
Indicate framework if the model is part of a larger framework:
Module type: *
Note on status model:
Date note status model:

Incorporated models

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Module identity

Module domain:	Terrestrial Hydrology Coastal Marine Geodynamic Climate Ecosystems Carbonates and Biogenics Cryosphere Artificial Intelligence and Machine Learning Human dimensions Planetary landforms
Spatial dimensions: (More options possible)	1D 1.5D 2D 3D	For example: 1D: profiles 1.5D: 2D projections extracted from 1D profiles 2D: a DEM grid with one value of z for every x-y location 3D: multiple z values possible for every x-y location
Spatial extent: (More options possible)	Global Continental Regional-Scale Landscape-Scale Watershed-Scale Reach-Scale Patch-Scale Grain-Scale Point-Based	For Example: The world Continental (order 1,000 km) Regional-Scale (order 100 km) Landscape-Scale (order 10 km) Watershed-Scale (order 1 km) Reach-Scale (order 100m) Patch-Scale (order 1-10m) Grain-Scale (order 0.00001 to 1m) Point-Based

One-line module description: *	Infiltration process component (Green-Ampt method) for a D8-based, spatial hydrologic model
Extended module description: *	This process component is part of a spatially-distributed hydrologic model called TopoFlow, but it can now be used as a stand-alone model.

Model Keywords

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Contact details modeler

First name: *
Last name: *
Type of contact:
Institute / Organization:	CSDMS, INSTAAR, University of Colorado
Postal address 1:	1560 30th street
Postal address 2:
Town / City: *
Postal code: *	80305
Country: *

State:

Email address: *	Scott.Peckham@colorado.edu
Phone:	303-492-6752
Fax:

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Technical information

Supported platforms: (More options possible)	Unix Linux Mac OS Windows
Other platform:
Programming language:	Fortran77 Fortran90 C C++ Python Java IDL Matlab
Other programming language:	None (but uses NumPy package)
Code optimized for: (More options possible)	Single Processor Multiple Processors

How is the use of multiple processors implemented:	Distributed memory Shared memory	Nr. of distributed processors: Nr. of shared processors:

Start year development:
Does module development still take place?: *	Yes No

Provide end year module development:

Status development code: *
Year when 'Status development code' was indicated: *
Module availability:	As code As teaching tool
Repository where source code can be found:	Through web repository Through CSDMS repository

Source code downloadable from website:	https://github.com/peckhams/topoflow

Source code downloadable from website:

Program license type: *

Other license:

Memory requirements:	Standard
Typical run time:	Minutes to hours

Input / Output description

Describe input parameters:	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)
Input format:	ASCII Binary
Other input format:
Describe output parameters:
Output format:	ASCII Binary
Other output format:
Pre-processing software needed?: *	Yes No

Describe pre-processing software:	Another program must be used to create the input grids. This includes a D8 flow grid derived from a DEM for the region to be modeled. The earlier, IDL version of TopoFlow can be used to create some of these.

Post-processing software needed?: *	Yes No

Describe post-processing software:	None, except visualization software. Grid sequences saved in netCDF files can be viewed as animations and saved as movies using VisIt.

Visualization software needed?: *	Yes No

Select visualization software:	ESRI IDL Matlab
Other visualization software:

Process representation

Describe processes represented by the module:	The Green-Ampt method for modeling infiltration.
Describe key physical parameters and equations:	Equations Used by the Green-Ampt Method f_c = K_i + ((K_s - K_i) * (F + J) / F) = infiltrability (m / sec) (max infiltration rate) = K_s + (J / F) * (K_s - K_i) = infiltrability (m / sec) (max infiltration rate) J = G * (θ_s - θ_i) = a quantity used in previous equation (meters) v_0 = min((P + M), f_c) = infiltration rate at surface (mm / sec) (K_s < (P + M)) = (P + M) = infiltration rate at surface (mm / sec) (K_s > (P + M)) F = ∫ v_0(t) d_t, (from times 0 to t) = cumulative infiltration depth (meters) (vs. I' in Smith (2002)
Describe length scale and resolution constraints:	Recommended grid cell size is around 100 meters, but can be parameterized to run with a wide range of grid cell sizes. DEM grid dimensions are typically less than 1000 columns by 1000 rows.
Describe time scale and resolution constraints:	The basic stability condition is: dt < (dx / u_min), where dt is the timestep, dx is the grid cell size and u_min is the smallest velocity in the grid. This ensures that flow cannot cross a grid cell in less than one time step. Typical timesteps are on the order of seconds to minutes. Model can be run for a full year or longer, if necessary.
Describe any numerical limitations and issues:	This model/component needs more rigorous testing.

Module testing

Describe available calibration data sets:	This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.
Upload calibration data sets if available (Multiple files possible):	Upload file
Describe available test data sets:	Available test data sets: Treynor watershed, in the Nishnabotna River basin, Iowa, USA. (Two large rainfall events.) Small basin in Kentucky. Inclined plane for testing. Arctic watershed data from Larry Hinzman (UAF). See /data/progs/topoflow/3.0/data on CSDMS cluster.
Upload test data sets if available (Multiple files possible):	Upload file
Describe ideal data for testing:	Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.

Users groups

Do you have current or future plans for collaborating with other researchers?:	Collaborators include: Larry Hinzman (UAF), Bob Bolton, Anna Liljedahl (UAF), Stefan Pohl and others

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Documentation

Is there a manual available?: *	Yes No

Upload manual:	Upload file

Module website if any:	This site.
Module forum / discussion board:

Additional comments

Comments:

Component structure This part will be filled out by a CSDMS-IF member

OpenMI compliant:	None/unknown Yes No but planned No but possible No not possible
BMI compliant:	None/unknown Yes No but planned No but possible No not possible
Is model available in the CSDMS model Tool (WMT)?:	None/unknown Yes In progress No but possible No not possible
Is model available in PyMT?:	None/unknown Yes In progress No but possible No not possible
Is this a Data Component?:	None/unknown Yes No

DOI information

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