JenaCarboScopeRegional and LUMIA inversion results for 2018.
Collection
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.
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.
2023
ICOS ERIC -- Carbon Portal
Carbon Cycle, carbon flux, inverse modeling
Munassar, S., Monteil, G., 2023. JenaCarboScopeRegional and LUMIA inversion results for 2018. https://doi.org/10.18160/QE4G-TP7T
BibTex
@misc{https://doi.org/10.18160/qe4g-tp7t, doi = {10.18160/QE4G-TP7T}, url = {https://meta.icos-cp.eu/collections/mzqyxQ8dVPk6MyEdLq-0siJx}, author = {Munassar, Saqr and Monteil, Guillaume}, keywords = {Carbon Cycle, carbon flux, inverse modeling}, title = {JenaCarboScopeRegional and LUMIA inversion results for 2018.}, publisher = {ICOS ERIC -- Carbon Portal}, year = {2023}, copyright = {CC BY 4.0} }
RIS
TY - DATA T1 - JenaCarboScopeRegional and LUMIA inversion results for 2018. AU - Munassar, Saqr AU - Monteil, Guillaume DO - 10.18160/QE4G-TP7T UR - https://meta.icos-cp.eu/collections/mzqyxQ8dVPk6MyEdLq-0siJx AB - 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. KW - Carbon Cycle KW - carbon flux KW - inverse modeling PY - 2023 PB - ICOS ERIC -- Carbon Portal ER -
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