Model:Gospl

Gospl

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

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Also known as
Model type	Single
Model part of larger framework
Note on status model
Date note status model

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

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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 "BMICompliant" 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.
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Model info

Authors

Tristan Salles

Source code

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Model citations

Nr. of publications:	3
Total citations:	14
h-index:	1
m-quotient:	0.14

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References

Nr. of publications:	3
Total citations:	14
h-index:	1
m-quotient:	0.14

Featured reference(s)	Open Access Status	Year	Type of Reference	Cited
Salles, Tristan; Mallard, Claire; Zahirovic, Sabin; 2020. gospl: Global Scalable Paleo Landscape Evolution. Journal of Open Source Software, 52804. 10.21105/joss.02804	cc-by · publishedVersion	2020	a module application description	13

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