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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| Main Authors: | , , , , |
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| Format: | Database Research Data |
| Language: | English |
| Published: |
Heidelberg
Universität
2023-12-07
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| DOI: | 10.11588/data/GRSSBN |
| Subjects: | |
| Online Access: | 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 |
| Author Notes: | Fabian Maier, Ingeborg Levin, Samuel Hammer, Sébastien Conil, Susanne Preunkert |
| Summary: | 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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| Item Description: | Finanziert durch: ICOS Research Infrastructure, German Weather Service (DWD), VERIFY: 776810, Horizon 2020 Framework, German Federal Ministry of Transport and Digital Infrastructure Gesehen am 05.02.2024 |
| Physical Description: | Online Resource |
| DOI: | 10.11588/data/GRSSBN |