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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Bibliographic Details
Main Author: Ajgarnello
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2020
Subjects:
Arctic
permafrost
Tundra
Online Access:https://dx.doi.org/10.5281/zenodo.4374124
https://zenodo.org/record/4374124
id ftdatacite:10.5281/zenodo.4374124
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4374124 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.4374124 https://zenodo.org/record/4374124 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.4374125 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2020 ftdatacite https://doi.org/10.5281/zenodo.4374124 https://doi.org/10.5281/zenodo.4374125 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.4374124
https://zenodo.org/record/4374124
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.4374125
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.4374124
https://doi.org/10.5281/zenodo.4374125
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