Summary
| Also known as
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| Model type
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Single
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| Model part of larger framework
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| Note on status model
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| Date note status model
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Technical specs
| Supported platforms
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Unix, Linux, Mac OS, Windows
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| Other platform
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| Programming language
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Python
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| Other program language
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None (but uses NumPy package)
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| Code optimized
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Single Processor
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| Multiple processors implemented
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| Nr of distributed processors
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| Nr of shared processors
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| Start year development
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2001
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| Does model development still take place?
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Yes
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| If above answer is no, provide end year model development
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| Code development status
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| When did you indicate the 'code development status'?
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| Model availability
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As code, As teaching tool
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Source code availability
(Or provide future intension)
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Through CSDMS repository
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| Source web address
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| Source csdms web address
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| Program license type
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Apache public license
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| Program license type other
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| Memory requirements
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Standard
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| Typical run time
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Minutes to hours
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In/Output
| Describe input parameters
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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)
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| Input format
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ASCII, Binary
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| Other input format
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| Describe output parameters
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| Output format
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ASCII, Binary
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| Other output format
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| Pre-processing software needed?
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Yes
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| Describe pre-processing software
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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.
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| Post-processing software needed?
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Yes
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| Describe post-processing software
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None, except visualization software. Grid sequences saved in netCDF files can be viewed as animations and saved as movies using VisIt.
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| Visualization software needed?
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Yes
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| If above answer is yes
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| Other visualization software
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VisIt
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Process
| Describe processes represented by the model
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| Describe key physical parameters and equations
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| Describe length scale and resolution constraints
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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.
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| Describe time scale and resolution constraints
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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.
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| Describe any numerical limitations and issues
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This model/component needs more rigorous testing.
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Testing
| Describe available calibration data sets
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This model/component is typically not calibrated to fit data, but is run with a best guess or measured value for each input parameter.
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| Upload calibration data sets if available:
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| Describe available test data sets
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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.
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| Upload test data sets if available:
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| Describe ideal data for testing
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Several test datasets are stored on the CSDMS cluster at: /data/progs/topoflow/3.0/data.
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Other
| Do you have current or future plans for collaborating with other researchers?
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Collaborators include: Larry Hinzman (UAF), Bob Bolton, Anna Liljedahl (UAF), Stefan Pohl and others
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| Is there a manual available?
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Yes
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| Upload manual if available:
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| Model website if any
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This site.
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| Model forum / discussion board
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| Comments
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About this component:
- This component was developed as part of the TopoFlow hydrologic model, which was originally written in IDL and had a point-and-click GUI. For more information on TopoFlow, please goto: http://csdms.colorado.edu/wiki/Model:TopoFlow.
- When used from within the CSDMS Modeling Tool (CMT), this component has "config" button which launches a graphical user interface (GUI) for changing input parameters. The GUI is a tabbed dialog with a Help button at the bottom that displays HTML help in a browser window.
- This component also has a configuration (CFG) file, with a name of the form: <case_prefix>_channels_diff_wave.cfg. This file can be edited with a text editor.
- The Numerical Python module (numpy) is used for fast, array-based processing.
- This model has an OpenMI-style interface, similar to OpenMI 2.0. Part of this interface is inherited from "CSDMS_base.py".
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Introduction
History
Papers
Issues
Help
Input Files
Output Files
Download source code
Template:Download Model
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