Model:1D Hillslope MCMC

Edit Model information

1D Hillslope MCMC

Metadata

Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Tool Model part of larger framework Note on status model Date note status model Incorporated models or components: Spatial dimensions 1D Spatial extent Reach-Scale Model domain One-line model description Monte Carlo chain of 1D non-linear diffusion hillslope model to find most likely boundary conditions Extended model description [[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, Name Martin Hurst Type of contact Project manager Institute / Organization British Geological Survevy Postal address 1 Nicker Hill Postal address 2 Keyworth Town / City Nottingham Postal code NG12 6DA State NO STATE Country United Kingdom Email address mhurst@bgs.ac.uk Phone +44 1159 363103 Fax 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 When did you indicate the 'code development status'? 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 OpenMI compliant No not possible BMI compliant No not possible WMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property. PyMT component Is this a data component Can be coupled with:

Model info Authors Martin Hurst Source code View in CSDMS GitHub repository Model citations Nr. of publications: 4 Total citations: 310 h-index: 3 m-quotient: 0.21 QR-code Link to this page Other models by author 1D Hillslope MCMC Hilltop and hillslope morphology extraction Non Local Means Filtering

Download statistics

<pbars ytitle=Downloads Title='Monthly Downloads 1d_hillslope_mcmc' xlabels=true size=900x200 ymax=10 grid=true box=true cubic=true plots=open xformat=number connected=true angle=90 legend> ,Total downloads: 19 2008 - Jan,0 Feb,0 Mar,0 Apr,0 May,0 Jun,0 Jul,0 Aug,0 Sep,0 Oct,0 Nov,0 Dec,0 2009 - Jan,0 Feb,0 Mar,0 Apr,0 May,0 Jun,0 Jul,0 Aug,0 Sep,0 Oct,0 Nov,0 Dec,0 2010 - Jan,0 Feb,0 Mar,0 Apr,0 May,0 Jun,0 Jul,0 Aug,0 Sep,0 Oct,0 Nov,0 Dec,0 2011 - Jan,0 Feb,0 Mar,0 Apr,0 May,0 Jun,0 Jul,0 Aug,0 Sep,0 Oct,0 Nov,0 Dec,0 2012 - Jan,0 Feb,0 Mar,0 Apr,0 May,0 Jun,0 Jul,0 Aug,0 Sep,0 Oct,0 Nov,0 Dec,0 2013 - Jan,0 Feb,0 Mar,0 Apr,0 May,0 Jun,0 Jul,0 Aug,0 Sep,2 Oct,0 Nov,4 Dec,1 2014 - Jan,2 Feb,1 Mar,2 Apr,0 May,1 Jun,0 Jul,1 Aug,1 Sep,0 Oct,1 Nov,0 Dec,2 2015 - Jan,1 Feb,0 Mar,0 Apr,0 May,0 Jun,0 Jul,0 </pbars>

References

Add a publication

Source code

Suggested way to reference a version of the model source code following data reference guidelines:

The part "]]" of the query was not understood.</br>Results might not be as expected.

Publication(s)	Model described	Citations

Overview and general

The part "]]" of the query was not understood.</br>Results might not be as expected.

Publication(s)	Model described	Citations

Applications

The part "]]" of the query was not understood.</br>Results might not be as expected.

Publication(s)	Model described	Citations

Related theory and data

The part "]]" of the query was not understood.</br>Results might not be as expected.

Publication(s)	Model described	Citations