Skip to content
A tool for reconstructing paleobathymetry on oceanic and continental crust.
Jupyter Notebook Python Other
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Docker
docs
misc
pybacktrack
tests
.gitattributes
.gitignore
LICENSE
MANIFEST.in
README.rst
setup.cfg
setup.py

README.rst

PyBacktrack

A tool for reconstructing paleobathymetry on oceanic and continental crust.

PyBacktrack is a Python package that backtracks the paleo-water depth of ocean drill sites through time by combining a model of tectonic subsidence with decompaction of the site stratigraphic lithologies. PyBacktrack can also include the effects of mantle-convection driven dynamic topography on paleo-water depth, as well as sea-level variations. PyBacktrack provides a model of tectonic subsidence on both oceanic and continental crust. Ocean crust subsidence is based on a user-selected lithospheric age-depth model and the present-day unloaded basement depth. Continental crust subsidence is based on syn-rift and post-rift subsidence that is modelled using the total sediment thickness at the site and the timing of the transition from rifting to thermal subsidence. At drill sites that did not penetrate to basement, the age-coded stratigraphy is supplemented with a synthetic stratigraphic section that represents the undrilled section, whose thickness is estimated using a global sediment thickness map. This is essential for estimating the decompacted thickness of the total sedimentary section, and thus bathymetry, through time. At drill sites on stretched continental crust where the paleo-water depth is known from benthic fossil assemblages, tectonic subsidence can be computed via backstripping. The workflow is similar to backtracking, but paleo-water depths and their uncertainties need to be supplied as part of the input.

Documentation

https://readthedocs.org/projects/pybacktrack/badge

The documentation covers the pyBacktrack Python package. It includes installation, examples and an API reference.

Reference

The following paper covers the theory and algorithms of pyBacktrack:

It can be downloaded either at Geochemistry, Geophysics, Geosystems or ResearchGate.

You can’t perform that action at this time.