14C-based ΔffCO2 estimates for Heidelberg and OPE and input data for the Rhine Valley ffCO2 inversion (2019-2020)

These data files show the Δ14CO2, CO2 and CO measurements as well as the 14C-based ΔffCO2 estimates of the flask samples collected in Heidelberg (HEI, 2019-2020) and at the ICOS site Observatoire pérenne de l'environnement (OPE, Sep. 2020 - Mar. 2021). Moreover, modelled ΔffCO2 and ΔCO concent...

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Hauptverfasser: Maier, Fabian (VerfasserIn) , Levin, Ingeborg (VerfasserIn) , Hammer, Samuel (VerfasserIn) , Conil, Sébastien (VerfasserIn) , Preunkert, Susanne (VerfasserIn)
Dokumenttyp: Datenbank Forschungsdaten
Sprache:Englisch
Veröffentlicht: Heidelberg Universität 2023-12-07
DOI:10.11588/data/GRSSBN
Schlagworte:
Online-Zugang:Resolving-System, kostenfrei, Volltext: https://doi.org/10.11588/data/GRSSBN
Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/GRSSBN
Volltext
Verfasserangaben:Fabian Maier, Ingeborg Levin, Samuel Hammer, Sébastien Conil, Susanne Preunkert

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520 |a These data files show the Δ14CO2, CO2 and CO measurements as well as the 14C-based ΔffCO2 estimates of the flask samples collected in Heidelberg (HEI, 2019-2020) and at the ICOS site Observatoire pérenne de l'environnement (OPE, Sep. 2020 - Mar. 2021). Moreover, modelled ΔffCO2 and ΔCO concentrations based on the Stochastic Time-Inverted Lagrangian Transport (STILT) model and the Netherlands Organization for Applied Scientific Research (TNO) emissions are given for the respective flask hours. These data are used to compare flask-based with inventory-based ΔCO/ΔffCO2 ratios (Maier et al., 2023a). For Heidelberg, also ΔCO-based ΔffCO2 estimates are presented for the afternoon hours in 2019 and 2020. The afternoon 14C- and ΔCO-based ΔffCO2 estimates from Heidelberg are used as observational constraint in the ffCO2 inversion performed in the Rhine Valley (Maier et al., 2023b). 
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787 0 8 |i Forschungsdaten zu  |a Maier, Fabian, 1993 -   |t Potential of 14C-based versus ∆CO-based ∆ffCO2 observations to estimate urban fossil fuel CO2(ffCO2) emissions  |d 2023  |w (DE-627)1880008858 
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