This repository contains a C++ Implementation of Hiro Matsumoto's Rocky Profile Model for coupling with cosmogenic radionuclide accumulation components of RoBoCoP.
The RPM object is the exploratory morphodynamic model developed by Matsumoto et al. (2016a) and Matsumoto et al. (2016b)).
This version was developed for coupling to predictions of cosmogenic isotope concentrations using the RoBoCoP_CRN model developed by Hurst et al. (2016) and Hurst et al. (2017).
This code is made available on a GNU General Public License (see LICENSE in repository). Please cite Matsumoto et al. (2016a) and Hurst et al. (2017) and the code repository:
The full documentation can be found here.
Below is a brief summary to help you get started.
Clone this repository and compile with your favourite C++ compiler. Our preferred setup is Linux and the GNU compilers, and the repository contains make files for compiling the software. There is more information about software requirements available on the documentation webpage.
To compile the model on your local machine, use the make command and point it to the makefile in the repository:
Rocky-Profile-Model$ make -f RPM_CRN.make
This will result in an executable called RPM_CRN.out.
The program can then be launched at the command line, requiring two input arguments.
- The path of the folder where the model will be run
- The name of the input parameter file (which must be in the folder where the model will be run)
The following command will launch the executable in its current directory with the default parameter values:
Rocky-Profile-Model$ RPM_CRN.out ./ example_parameter_file.txt
Alternatively you could move the parameter file to a directory for your project and customise it:
Rocky-Profile-Model$ RPM_CRN.out /home/mhurst/MyFirstRPMCRN/ modified_parameter_file.txt
For a detailed description of the contents of a parameter file, see the documentation here.
The model output will be written to your project directory. There are two output files, one containing the timeseries of topographic evolution of the simulated rock coast, and once containing the corresponding timeseries of CRN concentrations at the surface of the topography.
For more information about the format of the output files, see the documentation here.
Visualisation and further analysis of the model run is conducted in python (though you could write your own functions in a different language such as R or Matlab). A timeseries of the evolution of the model topography and snapshhot of the final CRN concentrations can be generated using /plotting_functions/RPM_CRN_Figure.py.
The first figure output shows a timeseries of the shore platform evolution over the duration of the model simulation, with topographic profiles plotted every thousand years of the simulation:
The second figure output shows (a) the final topographic profile; and also shows (b) the concentrations of the chosen CRNs (10Be, 14C or 26Al) distributed across the final model topography, (c) the timeseries of cliff retreat rates, and (d) the timeseries of the maximum CRN concentration for each chosen nuclide:
Please raise any issues here.
Hurst, M. D., Rood, D. H., Ellis, M. A., Anderson, R. S. and Dornbusch, U.: Recent acceleration in coastal cliff retreat rates on the south coast of Great Britain, Proc. Natl. Acad. Sci., 113, 13336–13341, doi:10.1073/PNAS.1613044113, 2016.
Hurst, M. D., Rood, D. H. and Ellis, M. A.: Controls on the distribution of cosmogenic 10Be across shore platforms, Earth Surf. Dyn., 5(1), doi:10.5194/esurf-5-67-2017, 2017.
Matsumoto, H., Dickson, M. E. and Kench, P. S.: An exploratory numerical model of rocky shore profile evolution, Geomorphology, 268, 98–109, doi:10.1016/j.geomorph.2016.05.017, 2016a.
Matsumoto, H., Dickson, M. E. and Kench, P. S.: Modelling the Development of Varied Shore Profile Geometry on Rocky Coasts, J. Coast. Res., 75(sp1), 597–601, doi:10.2112/SI75-120.1, 2016b.
Matsumoto, H., Dickson, M. E. and Kench, P. S.: Modelling the relative dominance of wave erosion and weathering processes in shore platform development in micro- to mega-tidal settings, , 2653(June), 2642–2653, doi:10.1002/esp.4422, 2018.
These software are intended as a tool for the research community. If you are interested in developing the model further or wish to apply it, please feel free to get in touch and work with us.