Surrogate-assisted Bayesian inversion of 3D hydraulic conductivity fields on unstructured geoscience meshes

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1. Verfasser: Zhao, Zifei
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Veröffentlicht: Zenodo 2026
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author Zhao, Zifei
author_facet Zhao, Zifei
contents <p>Initial public release of GeoHydroBayes3D.</p> <p>This release provides the source code, anonymized demonstration dataset, configuration files, and reproduction scripts for the surrogate-assisted Bayesian inversion framework for three-dimensional heterogeneous hydraulic conductivity fields on unstructured geoscience meshes.</p> <p>The repository includes modules for KD-tree based mapping, random field generation, PA-DNN surrogate modelling, baseline surrogate comparison, sensitivity analysis, and MCMC-based Bayesian inversion.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20371908
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Surrogate-assisted Bayesian inversion of 3D hydraulic conductivity fields on unstructured geoscience meshes
Zhao, Zifei
<p>Initial public release of GeoHydroBayes3D.</p> <p>This release provides the source code, anonymized demonstration dataset, configuration files, and reproduction scripts for the surrogate-assisted Bayesian inversion framework for three-dimensional heterogeneous hydraulic conductivity fields on unstructured geoscience meshes.</p> <p>The repository includes modules for KD-tree based mapping, random field generation, PA-DNN surrogate modelling, baseline surrogate comparison, sensitivity analysis, and MCMC-based Bayesian inversion.</p>
title Surrogate-assisted Bayesian inversion of 3D hydraulic conductivity fields on unstructured geoscience meshes
url https://doi.org/10.5281/zenodo.20371908