2026-07-06T12:13:49Z https://oai.datacite.org/oai

doi:10.18160/qe4g-tp7t 2025-09-03T13:04:09Z MVIY SND.ICOS

10.18160/QE4G-TP7T Munassar, Saqr Saqr Munassar 0000-0002-3144-3424 Max Planck Istitute for Biogeochemistry, Jena, Germany Ibb University, Ibb, Yemen Monteil, Guillaume Guillaume Monteil 0000-0001-7363-191X Lund University, Lund, Sweden ICOS ERIC -- Carbon Portal 2023 dataset Carbon Cycle carbon flux inverse modeling Munassar, Saqr Saqr Munassar 0000-0002-3144-3424 Max Planck Istitute for Biogeochemistry, Jena, Germany Ibb University, Ibb, Yemen Monteil, Guillaume Guillaume Monteil 0000-0001-7363-191X Lund University, Lund, Sweden 2023-01-11 NetCDF (spatial) 1.0 Creative Commons Attribution 4.0 International Net Ecosystem Exchange (NEE) for Europe 2018 estimated using the two inversion systems CSR and LUMIA, both with the regional transport models FLEXPART and STILT as part of the CSR-LUMIA intercomparison study. Boundary conditions were provided by two global inversions using the global transport models TM3 and TM5 at coarse resolution in a 2-step inversion approach. The prior biosphere fluxes of CO2 were calculated using the diagnostic biosphere model VPRM https://doi.org/10.18160/VX78-HVA1. The ocean fluxes and fossil fuel emissions are prescribed in the inversions and are taken from Mikaloff-Fletcher et al. (2007) https://doi.org/10.1029/2006GB002751 and EDGAR_v4.3 https://doi.org/10.18160/2M77-62E6, respectively. The datasets are supplementary material for Munassar, S., Monteil, G., Scholze, M., Karstens, U., Rödenbeck, C., Koch, F.-T., Totsche, K. U., and Gerbig, C.: Impact of atmospheric transport on CO2 flux estimates derived from the atmospheric tracer inversions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-510, in review, 2022. -15.0 35.0 33.0 73.0 European Union Horizon 2020 776810 VERIFY European Union Horizon 2020 958927 CoCO2