Model:Gospl

Edit Model information

Gospl

This code has been community reviewed and published in the open access Journal of Open Source Software (JOSS)

Metadata

Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Single Model part of larger framework Incorporated models or components: Spatial dimensions 2D Spatial extent Global Model domain Terrestrial, Geodynamic, Climate One-line model description Global Scalable Paleo Landscape Evolution Extended model description gospl is able to simulate global-scale forward models of landscape evolution, dual-lithology (coarse and fine) sediment routing and stratigraphic history forced with deforming plate tectonics, paleotopographies and paleoclimate reconstructions. It relates the complexity of the triggers and responses of sedimentary processes from the complete sediment routing perspective accounting for different scenarii of plate motion, tectonic uplift/subsidence, climate, geodynamic and sedimentary conditions. Keywords: Name Tristan Salles Type of contact Model developer Institute / Organization The University of Sydney Postal address 1 Postal address 2 Town / City Sydney Postal code 2006 State Country Australia Email address tristan.salles@sydney.edu.au Phone Fax Supported platforms Unix, Linux, Mac OS, Windows Other platform Programming language Fortran90, Python Other program language Code optimized Multiple Processors Multiple processors implemented Nr of distributed processors Nr of shared processors Start year development 2020 Does model development still take place? Yes If above answer is no, provide end year model development Code development status Active When did you indicate the 'code development status'? 2020 Model availability As code Source code availability (Or provide future intension) Through web repository Source web address https://github.com/Geodels/gospl Source csdms web address Program license type GPL v3 Program license type other Memory requirements Typical run time Describe input parameters paleo-landscape, paleo-climate, plate reconstruction Input format ASCII, Binary Other input format Describe output parameters evolving landscape, stratigraphy Output format Binary Other output format Pre-processing software needed? Yes Describe pre-processing software Available as jupyter notebooks based on CSV and numpy compressed arrays format. The documentation contains some workflows and functions that helps, among others, to pre-process netCDF elevation and climate dataset, plate velocity files and to create an unstructured spherical mesh used as input for gospl. Post-processing software needed? Yes Describe post-processing software Python workflows. Outputs are generated as compressed hdf5 files (The HDF Group, 2000-2010) that can be simply visualise as a temporal series in ParaView (Ahrens et al., 2005). In addition, post-processing scripts are also provided to build the output as VTK (Schroeder et al., 2006) or netCDF files (Brown et al., 1993) and to extract some specific information from the results such as erosion deposition thicknesses, stratigraphic records or river sediment load over time. Visualization software needed? Yes If above answer is yes Other visualization software Paraview Describe processes represented by the model global-scale forward models of landscape evolution, dual-lithology (coarse and fine) sediment routing and stratigraphic history forced with deforming plate tectonics, paleotopographies and paleoclimate reconstructions. Describe key physical parameters and equations • river incision using the stream power law (Howard et al., 1994) based on a multiple flow direction approach and an implicit parallel implicit drainage area method (Richardson et al., 2014), • inland river deposition in depressions computed using priority-flood techniques (Barnes et al., 2014), • dual-lithology marine deposition at river mouth based on a diffusion algorithm (Rivenaes, 1992), • hillslope processes in both marine and inland areas (Salles, 2019), and • sediment compaction as stratigraphic layers geometry and properties changes (Sclater & Christie, 1980; Yuan et al., 2019). Describe length scale and resolution constraints global scale (5 to 100 km). gospl can be used with different mesh resolutions enabling better representation of surface processes in regions of interest (e.g., specific basins, continental regions) while using lower resolutions to save memory allocation in other parts (deep marine regions for example). Describe time scale and resolution constraints long term (several millions of years) problems. Describe any numerical limitations and issues Documentation provides a description of the available processes and associated limitations: https://gospl.readthedocs.io/en/latest/tech_guide/index.html Describe available calibration data sets The user guide covers essential features of gospl, mostly in the form of interactive Jupyter notebooks and Python scripts. https://gospl.readthedocs.io/en/latest/user_guide/index.html Upload calibration data sets if available: Describe available test data sets + data structure used in gospl input file, + how to generate initial conditions like topography, precipitation and tectonic maps to force a simulation, + how to extract some of the output from the model results to visualise them in Jupyter notebooks, + how to run sequence of backward/forward gospl models using Python functions, + how to set a script for running gospl on HPC. Upload test data sets if available: Describe ideal data for testing It can be used to test different hypothesis related to Earth past evolution and to characterise the role of several drivers such as precipitation, dynamic topography, sea-level on Earth landscape evolution and sedimentary basins formation. Do you have current or future plans for collaborating with other researchers? Is there a manual available? Yes Upload manual if available: Model website if any https://gospl.readthedocs.io/en/latest/index.html Model forum / discussion board + https://stackoverflow.com/questions/tagged/gospl + https://groups.google.com/g/gospl Comments Associated paper: Salles et al., (2020). gospl: Global Scalable Paleo Landscape Evolution. Journal of Open Source Software, 5(56), 2804, https://doi.org/10.21105/joss.02804 This part will be filled out by CSDMS staff OpenMI compliant Not yet"Not yet" is not in the list (Yes, No but planned, No but possible, No not possible) of allowed values for the "Code openmi compliant or not" property. BMI compliant Not yet"Not yet" is not in the list (Yes, No but planned, No but possible, No not possible) of allowed values for the "Code IRF or not" property. 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 Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code PyMT compliant or not" property. Is this a data component DOI model For model version Year version submitted Link to file Can be coupled with:

Model info Authors Tristan Salles Source code Go to external source code site Model citations Nr. of publications: 1 Total citations: 1 h-index: 1 m-quotient: 0.25 QR-code Link to this page Other models by author Badlands ESCAPE Gospl

References

Automatically enter Reference by DOI

Manually enter Reference

Nr. of publications:	1
Total citations:	1
h-index:	1
m-quotient:	0.25

Featured publication(s)	Year	Model described	Type of Reference	Citations
Salles, Tristan; Mallard, Claire; Zahirovic, Sabin; 2020. gospl: Global Scalable Paleo Landscape Evolution. Journal of Open Source Software, 5, 2804. 10.21105/joss.02804 (View/edit entry)	2020	Gospl	Model application	1
See more publications of Gospl