From csdms
[edit] Erode
Contents |
[edit] Metadata
| Modeler information | |
|---|---|
| First name | Scott |
| Last name | Peckham |
| Type of contact | Model developer |
| Institute / Organization | CSDMS, INSTAAR, University of Colorado |
| Postal address 1 | 1560 30th street |
| Postal address 2 | |
| Town / City | Boulder |
| Postal code | 80309 |
| State | Colorado |
| Country | USA |
| Email address | Scott.Peckham@colorado.edu |
| Phone | 303-492-6752 |
| Fax | |
| Model identity | |
|---|---|
| Model type | Single |
| Spatial dimensions | |
| Spatial extent | |
| Model domain | |
| One-line model description | Fluvial landscape evolution model |
| Extended model description | Erode is a raster-based, fluvial landscape evolution model written in IDL. |
| Model technical information | |
|---|---|
| Supported platforms | Unix, Linux, Mac OS, Windows |
| Other platform | |
| Programming language | IDL |
| Other program language | |
| Code optimized | Single Processor |
| Start year development | 2003 |
| Does model development still take place? | Yes |
| If above answer is no, provide end year model development | |
| Model availability | As code |
| Source code availability (Or provide future intension) | Through owner |
| Source web address | |
| Program license type | Apache public license |
| Program license type other | |
| OpenMI compliant | No but possible |
| CCA component | No but possible |
| IRF interface | No but possible |
| Memory requirements | Standard |
| Typical run time | hours-days |
| Input - Output description | |
|---|---|
| Describe input parameters | 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.) |
| Input format | |
| Other input format | Command line |
| Describe output parameters | A sequence of grids that represent DEMs at different times in the evolution. Saved in RTS (RiverTools Sequence) format with RTI file for georeferencing. |
| Output format | Binary |
| Other output format | |
| Pre-processing software needed? | No |
| Describe pre-processing software | |
| Post-processing software needed? | Yes |
| Describe post-processing software | RiverTools or a similar program can be used to create animations of the grid sequence. |
| Visualization software needed? | Yes |
| If above answer is yes | |
| Other visualization software | Rivertools |
| Process description model | |
|---|---|
| Describe processes represented by the model | Sediment transport (parameterized with slope and contributing area grids), rainfall, uplift, base-level lowering. |
| Describe key physical parameters and equations | The main equations are:
Q = R * A^p |
| Describe length scale and resolution constraints | Typical grid cell dimensions are 10 to 500 meters. |
| Describe time scale and resolution constraints | Typical simulated time is 1000 to 100,000 years. |
| Describe any numerical limitations and issues | D8 flow codes are used to compute contributing areas. Would be better to use D-Infinity or the Mass-Flux method. |
| Model testing | |
|---|---|
| Describe available calibration data sets | None |
| Upload calibration data sets if available: | |
| Describe available test data sets | None |
| Upload test data sets if available: | |
| Describe ideal data for testing | [[Describe ideal data::Same as used for other LEMs, like CHILD and MARSSIM.]] |
| Users groups model | |
|---|---|
| Do you have current or future plans for collaborating with other researchers? | See comments below. |
| Documentation model | |
|---|---|
| Provide key papers on model if any | None |
| Is there a manual available? | No |
| Upload manual if available: | |
| Model website if any | |
| Model forum / discussion board | |
| Additional comments | |
|---|---|
| Comments | I currently have an NSF-CMG grant to work with Greg Tucker, Tom Manteuffel and Steve McCormick to find faster algorithms for this type of model. |
