Skip to content

Bayesian modeling of seawater Sr concentration and isotopic composition prior to, during, and after the Sturtian Snowball glaciation.

Notifications You must be signed in to change notification settings

sarttiso/Neoproterozoic-strontium-box-model

Repository files navigation

Sr Box Model

This repository contains the data and code for reproducing Bayesian box modeling of the Neoproterozoic Sr reservoir and isotopic composition presented in the following mansucript:

Macdonald, F.A., Renger, E., Tasistro-Hart, A.R., Byerly, B.L., Jackson, M.G., Bergmann, K.D., Horner, T.J., and Crockford, P.W., 2025, Mantle-like Sr isotopes in a Sturtian cap carbonate in Oman: Geology, v. XX, doi:10.1130/G53385.1.

Use the environment.yml to set up a conda environment with the necessary packages:

conda env create -f environment.yml

All modeling, analysis, and generation of figures is performed in the strontium_box_model file Jupyter notebook.

The Markov Chain Monte Carlo output used to produce the figures in the manuscript is saved in the models\2025-02-05_smc_12-chains_10k.nc file, which can be loaded in python via Arviz as with trace = az.from_netcdf('models/2025-02-05_smc_12-chains_10k.nc').

About

Bayesian modeling of seawater Sr concentration and isotopic composition prior to, during, and after the Sturtian Snowball glaciation.

Topics

Resources

Stars

Watchers

Forks