ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0
This contains an annotated copy of the Fortran99 code used in the Journal of Geophysical Research: Biogeosciences manuscript titled: Projecting permafrost thaw of sub-Arctic tundra with a thermodynamic model calibrated to site measurements. It is not meant to be a standalone reproducible model and i...
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Online Access: | https://dx.doi.org/10.5281/zenodo.4374125 https://zenodo.org/record/4374125 |
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ftdatacite:10.5281/zenodo.4374125 2023-05-15T14:54:34+02:00 ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 Ajgarnello 2020 https://dx.doi.org/10.5281/zenodo.4374125 https://zenodo.org/record/4374125 unknown Zenodo https://github.com/ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation/tree/v1.0 https://github.com/ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation/tree/v1.0 https://dx.doi.org/10.5281/zenodo.4374124 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2020 ftdatacite https://doi.org/10.5281/zenodo.4374125 https://doi.org/10.5281/zenodo.4374124 2021-11-05T12:55:41Z This contains an annotated copy of the Fortran99 code used in the Journal of Geophysical Research: Biogeosciences manuscript titled: Projecting permafrost thaw of sub-Arctic tundra with a thermodynamic model calibrated to site measurements. It is not meant to be a standalone reproducible model and instead will serve the purpose of transparency in the MCMC framework. Article in Journal/Newspaper Arctic permafrost Tundra DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
This contains an annotated copy of the Fortran99 code used in the Journal of Geophysical Research: Biogeosciences manuscript titled: Projecting permafrost thaw of sub-Arctic tundra with a thermodynamic model calibrated to site measurements. It is not meant to be a standalone reproducible model and instead will serve the purpose of transparency in the MCMC framework. |
format |
Article in Journal/Newspaper |
author |
Ajgarnello |
spellingShingle |
Ajgarnello ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 |
author_facet |
Ajgarnello |
author_sort |
Ajgarnello |
title |
ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 |
title_short |
ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 |
title_full |
ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 |
title_fullStr |
ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 |
title_full_unstemmed |
ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 |
title_sort |
ajgarnello/bayesian-framework-for-gipl-parameter-estimation: release v1.0 |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.4374125 https://zenodo.org/record/4374125 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost Tundra |
genre_facet |
Arctic permafrost Tundra |
op_relation |
https://github.com/ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation/tree/v1.0 https://github.com/ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation/tree/v1.0 https://dx.doi.org/10.5281/zenodo.4374124 |
op_rights |
Open Access info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.4374125 https://doi.org/10.5281/zenodo.4374124 |
_version_ |
1766326275433037824 |