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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Main Author: ajgarnello
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2020
Subjects:
permafrost
Tundra
Online Access:https://doi.org/10.5281/zenodo.4374125
id ftzenodo:oai:zenodo.org:4374125
record_format openpolar
spelling ftzenodo:oai:zenodo.org:4374125 2024-09-15T18:29:51+00:00 ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation: Release v1.0 ajgarnello 2020-12-20 https://doi.org/10.5281/zenodo.4374125 unknown Zenodo https://github.com/ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation/tree/v1.0 https://doi.org/10.5281/zenodo.4374124 https://doi.org/10.5281/zenodo.4374125 oai:zenodo.org:4374125 info:eu-repo/semantics/openAccess Other (Open) info:eu-repo/semantics/other 2020 ftzenodo https://doi.org/10.5281/zenodo.437412510.5281/zenodo.4374124 2024-07-26T13:48:16Z 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. Other/Unknown Material permafrost Tundra Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
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 Other/Unknown Material
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://doi.org/10.5281/zenodo.4374125
genre permafrost
Tundra
genre_facet permafrost
Tundra
op_relation https://github.com/ajgarnello/Bayesian-Framework-for-GIPL-Parameter-Estimation/tree/v1.0
https://doi.org/10.5281/zenodo.4374124
https://doi.org/10.5281/zenodo.4374125
oai:zenodo.org:4374125
op_rights info:eu-repo/semantics/openAccess
Other (Open)
op_doi https://doi.org/10.5281/zenodo.437412510.5281/zenodo.4374124
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