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JenaCarboScopeRegional (STILT & TM3) inversion results for 2018

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This gridded dataset consists of posterior Net Ecosystem Exchange (NEE) estimated using CSR 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.
2018-01-01 00:00:00
2018-12-31 23:59:59
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Monteil, G., Munassar, S. (2023). JenaCarboScopeRegional (STILT & TM3) inversion results for 2018, Miscellaneous, https://hdl.handle.net/11676/j7xI6eWpVeB1ChTTmRQa5ync
BibTex
@misc{https://hdl.handle.net/11676/j7xI6eWpVeB1ChTTmRQa5ync,
  author={Monteil, Guillaume and Munassar, Saqr},
  title={JenaCarboScopeRegional (STILT & TM3) inversion results for 2018},
  year={2023},
  note={This gridded dataset consists of posterior Net Ecosystem Exchange (NEE) estimated using CSR 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/j7xI6eWpVeB1ChTTmRQa5ync},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/j7xI6eWpVeB1ChTTmRQa5ync}
}
RIS
TY - DATA
T1 - JenaCarboScopeRegional (STILT & TM3) inversion results for 2018
ID - 11676/j7xI6eWpVeB1ChTTmRQa5ync
PY - 2023
AB - This gridded dataset consists of posterior Net Ecosystem Exchange (NEE) estimated using CSR 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/j7xI6eWpVeB1ChTTmRQa5ync
PB - Carbon Portal
AU - Monteil, Guillaume
AU - Munassar, Saqr
KW - inverse modeling
KW - Carbon Cycle
ER - 
Posterior_CSR_STILT_TM3.2018.nc
2 MB (1669216 bytes)
3

Production

2023-01-03 00:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
co2flux_land land CO2 flux PgC year-1 mass flow rate Preview

Statistics

4
10

Submission

2023-01-09 16:11:10
2023-01-09 16:11:02

Technical information

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j7xI6eWpVeB1ChTTmRQa5yncCZ17/Wx+ssYx9AzA1jY
S: 33, W: -15, N: 73, E: 35
Carbon Cycle carbon flux inverse modeling