Detecting fossil fuel emissions patterns from subcontinental regions using North American in situ CO2 measurements
Article first published online: 24 JUN 2014
©2014. The Authors.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Geophysical Research Letters
Volume 41, Issue 12, pages 4381–4388, 28 June 2014
How to Cite
2014), Detecting fossil fuel emissions patterns from subcontinental regions using North American in situ CO2 measurements, Geophys. Res. Lett., 41, 4381–4388, doi:10.1002/2014GL059684., , , , and (
- Issue published online: 15 JUL 2014
- Article first published online: 24 JUN 2014
- Accepted manuscript online: 5 JUN 2014 09:30AM EST
- Manuscript Accepted: 30 MAY 2014
- Manuscript Revised: 28 MAY 2014
- Manuscript Received: 21 FEB 2014
- carbon dioxide;
- detection of fossil fuel emissions;
- inverse problem
The ability to monitor fossil fuel carbon dioxide (FFCO2) emissions from subcontinental regions using atmospheric CO2 observations remains an important but unrealized goal. Here we explore a necessary but not sufficient component of this goal, namely, the basic question of the detectability of FFCO2 emissions from subcontinental regions. Detectability is evaluated by examining the degree to which FFCO2 emissions patterns from specific regions are needed to explain the variability observed in high-frequency atmospheric CO2 observations. Analyses using a CO2 monitoring network of 35 continuous measurement towers over North America show that FFCO2 emissions are difficult to detect during nonwinter months. We find that the compounding effects of the seasonality of atmospheric transport patterns and the biospheric CO2 flux signal dramatically hamper the detectability of FFCO2 emissions. Results from several synthetic data case studies highlight the need for advancements in data coverage and transport model accuracy if the goal of atmospheric measurement-based FFCO2 emissions detection and estimation is to be achieved beyond urban scales.