Articles | Volume 14, issue 6
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

Data sets

Prior and posterior fluxes and concentrations Guillaume Monteil

Model code and software

LUMIA source code and configuration files Guillaume Monteil

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.