This gridded dataset consists of posterior Net Ecosystem Exchange (NEE) estimated using LUMIA over Europe for 2018 with the regional transport model STILT as part of the CSR-LUMIA intercomparison study.The boundary conditions were provided through a global inversion using a two-step inversion with the global transport model TM3 at coarse resolution. 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. 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.
@misc{https://hdl.handle.net/11676/SxLabnp82dntPUXH-kjz5uzv,
author={Monteil, Guillaume and Munassar, Saqr},
title={LUMIA (STILT & TM3) inversion results for 2018},
year={2023},
note={This gridded dataset consists of posterior Net Ecosystem Exchange (NEE) estimated using LUMIA over Europe for 2018 with the regional transport model STILT as part of the CSR-LUMIA intercomparison study.The boundary conditions were provided through a global inversion using a two-step inversion with the global transport model TM3 at coarse resolution. 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. 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.},
keywords={inverse modeling, Carbon Cycle},
url={https://hdl.handle.net/11676/SxLabnp82dntPUXH-kjz5uzv},
publisher={Carbon Portal},
copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
pid={11676/SxLabnp82dntPUXH-kjz5uzv}
}
TY - DATA T1 - LUMIA (STILT & TM3) inversion results for 2018 ID - 11676/SxLabnp82dntPUXH-kjz5uzv PY - 2023 AB - This gridded dataset consists of posterior Net Ecosystem Exchange (NEE) estimated using LUMIA over Europe for 2018 with the regional transport model STILT as part of the CSR-LUMIA intercomparison study.The boundary conditions were provided through a global inversion using a two-step inversion with the global transport model TM3 at coarse resolution. 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. 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. UR - https://hdl.handle.net/11676/SxLabnp82dntPUXH-kjz5uzv PB - Carbon Portal AU - Monteil, Guillaume AU - Munassar, Saqr KW - inverse modeling KW - Carbon Cycle ER -
| Name | Value type | Unit | Quantity kind | Preview |
|---|---|---|---|---|
| co2flux_land | land CO2 flux | PgC year-1 | mass flow rate | Preview |