WOMBAT v1.0: a fully Bayesian global flux-inversion framework

Zammit-Mangion, Andrew; Bertolacci, Michael; Fisher, Jenny; Stavert, Ann; Rigby, Matthew; Cao, Yi; Cressie, Noel

doi:https://doi.org/10.5194/gmd-15-45-2022

Articles | Volume 15, issue 1

https://doi.org/10.5194/gmd-15-45-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-45-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 1

Development and technical paper

|

06 Jan 2022

Development and technical paper |

| 06 Jan 2022

WOMBAT v1.0: a fully Bayesian global flux-inversion framework

Andrew Zammit-Mangion, Michael Bertolacci, Jenny Fisher, Ann Stavert, Matthew Rigby, Yi Cao, and Noel Cressie

Supplement

https://doi.org/10.5194/gmd-15-45-2022-supplement

Data sets

Code for reproducing results and figures in manuscript Michael Bertolacci, Andrew Zammit-Mangion, Yi Cao, Jenny Fisher, and Ann Stavert https://doi.org/10.5281/zenodo.4886771

Model code and software

Intermediate files for reproducing results in manuscript Michael Bertolacci, Jenny Fisher, Yi Cao, Ann Stavert, and Matthew Rigby https://doi.org/10.5281/zenodo.4887043

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We present a framework for estimating the sources and sinks (flux) of carbon dioxide from...