Continuous fossil fuel CO2 emission estimates based on 14C-calibrated urban eddy-covariance fluxes of co-emitted species
Year: 2026
Type: article
Abstract: Atmospheric tall-tower measurements of radiocarbon ( CO 2 14 ), carbon monoxide ( CO ), and nitrogen oxides ( NO x ) show great potential for determining fossil fuel (ff) CO 2 emissions. While CO 2 14 relaxed eddy accumulation (REA) enables F ff CO 2 estimation during individual hours, F CO and F NO x , measured directly and continuously by eddy covariance (EC), can be used as proxies for continuous F ff CO 2 once local F proxy / F ff CO 2 ratios ( R proxy ) are known. We combined for the first time half-hourly EC F CO and F NO x , measured along F CO 2 at a tall tower in Munich from July 2024 to February 2025, with co-located F ff CO 2 from 76 hour-long CO 2 14 REA measurements. First, we examined the general applicability of CO - and NO x -based F ff CO 2 estimation by analyzing the C 14 -based R proxy . Then, we applied the C 14 -calibrated 〈 R proxy 〉 to the F proxy time series to obtain continuous ff CO 2 and non-fossil (nf) CO 2 fluxes, and analyze the F CO 2 composition. We demonstrate the potential of the purely observation-based partitioning approach by comparing R proxy and half-hourly F ff CO 2 and F nf CO 2 with modeled fluxes obtained from a footprint-weighted state-of-the-art Munich emission inventory and biospheric flux model. Although variability in R proxy limits precision and accuracy of half-hourly, proxy-based F ff CO 2 , average daytime fluxes could be estimated with about 20% uncertainty. On average, F ff CO 2 accounted for 70% of F CO 2 during daytime. The absolute modeled F ff CO 2 was 46% higher due to increased modeled heating emissions in the cold months. Observation-based and modeled F nf CO 2 indicated substantial human respiration and minor biospheric flux contributions. The multi-proxy EC and REA measurements enabled unique analysis and independent evaluation of urban ff CO 2 and nf CO 2 fluxes.
Source: Atmospheric Environment X
Authors: Ann-Kristin Kunz, Samuel Hammer, Patrick Aigner, Lars Borchardt, Jia Chen, Julian Della Coletta, Markus Eritt, Ronny Friedrich, Xochilt Gutiérrez, Rainer Hilland, Christopher Holst, Armin Jordan, Natascha Kljun, Richard Kneißl, Daniel Kühbacher, Changxing Lan, Junwei Li, Betty Molinier, Susanne Preunkert, Andreas Christen
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $1,860
OpenAlex ID: W7222344275
