Articles | Volume 14, issue 6
Geosci. Model Dev., 14, 3383–3406, 2021
https://doi.org/10.5194/gmd-14-3383-2021
Geosci. Model Dev., 14, 3383–3406, 2021
https://doi.org/10.5194/gmd-14-3383-2021

Model description paper 07 Jun 2021

Model description paper | 07 Jun 2021

Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0

Guillaume Monteil and Marko Scholze

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Short summary
LUMIA is a Python library for atmospheric inversions, originally developed at Lund University to perform regional atmospheric CO2 inversions. The inversions rely on coupling the regional transport model FLEXPART and the global transport model TM5. The paper presents the modeling setup and some first results, and it introduces the LUMIA Python package as a toolbox for inversions beyond the use case presented in the paper.