Academic Journal
Modeling support for an extensive ∆14CO2 flask sample monitoring campaign over Europe to constrain fossil CO2 emissions
| Τίτλος: | Modeling support for an extensive ∆14CO2 flask sample monitoring campaign over Europe to constrain fossil CO2 emissions |
|---|---|
| Συγγραφείς: | Gómez-Ortiz, Carlos, Monteil, Guillaume, Karstens, Ute, Scholze, Marko |
| Συνεισφορές: | Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), MERGE: ModElling the Regional and Global Earth system, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), MERGE: ModElling the Regional and Global Earth system, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), BECC: Biodiversity and Ecosystem services in a Changing Climate, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), BECC: Biodiversity and Ecosystem services in a Changing Climate, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator, Lund University, Faculty of Science, Dept of Physical Geography and Ecosystem Science, Lunds universitet, Naturvetenskapliga fakulteten, Institutionen för naturgeografi och ekosystemvetenskap, Originator, Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Aerosols, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Aerosoler, Originator |
| Πηγή: | Atmospheric Chemistry and Physics. 25(18):10747-10771 |
| Θεματικοί όροι: | Natural Sciences, Earth and Related Environmental Sciences, Climate Science, Naturvetenskap, Geovetenskap och relaterad miljövetenskap, Klimatvetenskap |
| Περιγραφή: | During 2024, an intensive 114CO2 flask sampling campaign was conducted at 12 sampling stations across Europe as part of the CO2MVS Research on Supplementary Observations (CORSO) project. These 114CO2 samples, combined with CO2 atmospheric measurements, are intended to enhance the estimation of fossil CO2 emissions over Europe through inverse modeling. In this study, we perform a series of Observing System Simulation Experiments (OSSEs) to evaluate the added value of such an intensive campaign as well as the different flask sample selection strategies on estimating fossil fuel emissions. We explore three main selection strategies and compare them against the currently more widely used method of two-week integrated samples: (1) collecting flask samples every 3 d according to a uniform schedule, without applying specific selection criteria; (2) selecting flask samples with high fossil CO2 content to better isolate anthropogenic signals; and (3) combining fossil CO2 selection with consideration of nuclear 14CO2 contamination to reduce potential biases from nuclear emissions. The results suggest that higher sampling density improves the estimation of fossil CO2 emissions, particularly during periods of high fossil fuel activity, such as in winter, while integrated sampling remains more effective during summer months when emissions are lower. Increasing the number of flask samples significantly reduces uncertainty and enhances the robustness of inverse modeling results. In addition, selecting samples with a high fossil CO2 content shows potential for improving the accuracy of emission estimates. The largest reduction in uncertainty is achieved when sample selection actively avoids periods of potential high nuclear 14CO2 contamination. This approach helps minimize potential biases, particularly in regions with significant nuclear activity such as France and the UK. These findings highlight the importance of not only increasing sampling frequency but also carefully selecting samples based on their fossil CO2 and nuclear 14CO2 composition to improve the reliability of fossil fuel emission estimates across Europe. |
| Σύνδεσμος πρόσβασης: | https://doi.org/10.5194/acp-25-10747-2025 |
| Βάση Δεδομένων: | SwePub |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling support for an extensive ∆14CO2 flask sample monitoring campaign over Europe to constrain fossil CO2 emissions – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gómez-Ortiz%2C+Carlos%22">Gómez-Ortiz, Carlos</searchLink><br /><searchLink fieldCode="AR" term="%22Monteil%2C+Guillaume%22">Monteil, Guillaume</searchLink><br /><searchLink fieldCode="AR" term="%22Karstens%2C+Ute%22">Karstens, Ute</searchLink><br /><searchLink fieldCode="AR" term="%22Scholze%2C+Marko%22">Scholze, Marko</searchLink> – Name: Author Label: Contributors Group: Au Data: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), MERGE: ModElling the Regional and Global Earth system, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), MERGE: ModElling the Regional and Global Earth system, Originator<br />Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), BECC: Biodiversity and Ecosystem services in a Changing Climate, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), BECC: Biodiversity and Ecosystem services in a Changing Climate, Originator<br />Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator<br />Lund University, Faculty of Science, Dept of Physical Geography and Ecosystem Science, Lunds universitet, Naturvetenskapliga fakulteten, Institutionen för naturgeografi och ekosystemvetenskap, Originator<br />Lund University, Faculty of Engineering, LTH, LTH Profile areas, LTH Profile Area: Aerosols, Lunds universitet, Lunds Tekniska Högskola, LTH profilområden, LTH profilområde: Aerosoler, Originator – Name: TitleSource Label: Source Group: Src Data: <i>Atmospheric Chemistry and Physics</i>. 25(18):10747-10771 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Natural+Sciences%22">Natural Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Earth+and+Related+Environmental+Sciences%22">Earth and Related Environmental Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+Science%22">Climate Science</searchLink><br /><searchLink fieldCode="DE" term="%22Naturvetenskap%22">Naturvetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Geovetenskap+och+relaterad+miljövetenskap%22">Geovetenskap och relaterad miljövetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Klimatvetenskap%22">Klimatvetenskap</searchLink> – Name: Abstract Label: Description Group: Ab Data: During 2024, an intensive 114CO2 flask sampling campaign was conducted at 12 sampling stations across Europe as part of the CO2MVS Research on Supplementary Observations (CORSO) project. These 114CO2 samples, combined with CO2 atmospheric measurements, are intended to enhance the estimation of fossil CO2 emissions over Europe through inverse modeling. In this study, we perform a series of Observing System Simulation Experiments (OSSEs) to evaluate the added value of such an intensive campaign as well as the different flask sample selection strategies on estimating fossil fuel emissions. We explore three main selection strategies and compare them against the currently more widely used method of two-week integrated samples: (1) collecting flask samples every 3 d according to a uniform schedule, without applying specific selection criteria; (2) selecting flask samples with high fossil CO2 content to better isolate anthropogenic signals; and (3) combining fossil CO2 selection with consideration of nuclear 14CO2 contamination to reduce potential biases from nuclear emissions. The results suggest that higher sampling density improves the estimation of fossil CO2 emissions, particularly during periods of high fossil fuel activity, such as in winter, while integrated sampling remains more effective during summer months when emissions are lower. Increasing the number of flask samples significantly reduces uncertainty and enhances the robustness of inverse modeling results. In addition, selecting samples with a high fossil CO2 content shows potential for improving the accuracy of emission estimates. The largest reduction in uncertainty is achieved when sample selection actively avoids periods of potential high nuclear 14CO2 contamination. This approach helps minimize potential biases, particularly in regions with significant nuclear activity such as France and the UK. These findings highlight the importance of not only increasing sampling frequency but also carefully selecting samples based on their fossil CO2 and nuclear 14CO2 composition to improve the reliability of fossil fuel emission estimates across Europe. – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://doi.org/10.5194/acp-25-10747-2025" linkWindow="_blank">https://doi.org/10.5194/acp-25-10747-2025</link> |
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