Model:1D Hillslope MCMC

1D Hillslope MCMC

Also known as
Model type	Tool
Model part of larger framework

Incorporated models or components:

Spatial dimensions	1D
Spatial extent	Reach-Scale
Model domain	Terrestrial
One-line model description	Monte Carlo chain of 1D non-linear diffusion hillslope model to find most likely boundary conditions
Extended model description	The model evolves a 1D hillslope according to a non-linear diffusion rule (e.g. Roering et al. 1999) for varying boundary conditions idealised as a gaussian pulse of baselevel fall through time. A Markov Chain Monte Carlo inversion finds the most likely boundary condition parameters when compared to a time series of field data on hillslope morphology from the Dragon's Back Pressure Ridge, Carrizo Plain, CA, USA; see Hilley and Arrowsmith, 2008.

Keywords:	landscape evolution, Hillslope Model,

Supported platforms	Unix, Linux, Mac OS, Windows
Other platform
Programming language	C++
Other program language
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	2012
Does model development still take place?	No
If above answer is no, provide end year model development	2012
Code development status	As is, no updates are provided
When did you indicate the 'code development status'?	2020
Model availability	As code
Source code availability (Or provide future intension)	Through CSDMS repository
Source web address
Source csdms web address	https://github.com/csdms-contrib/1d_hillslope_mcmc
Program license type	GPL v3
Program license type other
Memory requirements
Typical run time	Days

Describe input parameters	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).
Input format	ASCII
Other input format	command line arguments
Describe output parameters	Parameters used for simulations by the MCMC algorithm and their likelihood compared to the field data.
Output format	ASCII
Other output format
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	No
Describe post-processing software
Visualization software needed?	No
If above answer is yes
Other visualization software

Describe processes represented by the model	[[Describe processes::Hillslope sediment transport is represented by a slope dependent nonlinear diffusion rule [e.g. Roering et al. 1999] in which sediment transport is assumed to be disturbance driven and tends to infinite as slopes approach some critical gradient. Uplift is idealised as a gaussian pulse, with duration, timing and magnitude treated as variable parameters in the Monte Carlo inversion.]]
Describe key physical parameters and equations	[[Describe key physical parameters::Hillslope diffusivity is assumed to be 0.0086 m^2 a^-1 following Arrowsmith et al [1998].]]
Describe length scale and resolution constraints	Model uses a fixed hillslope length of 30 m constrained from topographic measurements.
Describe time scale and resolution constraints
Describe any numerical limitations and issues

Describe available calibration data sets
Upload calibration data sets if available:
Describe available test data sets	Hillslope morphology data from the Dragon's Back Pressure Ridge is included in packaged code.
Upload test data sets if available:
Describe ideal data for testing

Do you have current or future plans for collaborating with other researchers?	No

Is there a manual available?	No
Upload manual if available:
Model website if any
Model forum / discussion board

Comments

This part will be filled out by CSDMS staff

Can be coupled with:

Model info

Authors

Source code

Model citations

QR-code

Link to this page

Other models by author