Articles | Volume 24, issue 20
https://doi.org/10.5194/acp-24-11823-2024
https://doi.org/10.5194/acp-24-11823-2024
Research article
 | 
24 Oct 2024
Research article |  | 24 Oct 2024

CO2 and CO temporal variability over Mexico City from ground-based total column and surface measurements

Noémie Taquet, Wolfgang Stremme, María Eugenia González del Castillo, Victor Almanza, Alejandro Bezanilla, Olivier Laurent, Carlos Alberti, Frank Hase, Michel Ramonet, Thomas Lauvaux, Ke Che, and Michel Grutter

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Cited articles

Alberti Arroyo, C. A.: Ground based FTIR and MAX-DOAS observations of greenhouse and trace gas emissions in the Rhine valley (Germany), St. Petersburg and Yekaterinburg (Russia), Karlsruher Institut für Technologie (KIT), https://doi.org/10.5445/IR/1000162056/v2, 2023. 
Babenhauserheide, A., Hase, F., and Morino, I.: Net CO2 fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes, Atmos. Meas. Tech., 13, 2697–2710, https://doi.org/10.5194/amt-13-2697-2020, 2020. 
Baylon, J. L., Stremme, W., Grutter, M., Hase, F., and Blumenstock, T.: Background CO2 levels and error analysis from ground-based solar absorption IR measurements in central Mexico, Atmos. Meas. Tech., 10, 2425–2434, https://doi.org/10.5194/amt-10-2425-2017, 2017. 
Betts, R. A., Jones, C. D., Knight, Jeff. R., Keeling, Ralph. F., Kennedy, John. J., Wiltshire, A. J., Andrew, R. M., and Aragão, L. E. O. C.: A successful prediction of the record CO2 rise associated with the 2015/2016 El Niño, Phils. T. R. Soc. B, 373, 20170301, https://doi.org/10.1098/rstb.2017.0301, 2018. 
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We characterize the variability in CO and CO2 emissions over Mexico City from long-term time-resolved Fourier transform infrared spectroscopy solar absorption and surface measurements from 2013 to 2021.  Using the average intraday CO growth rate from total columns, the average CO / CO2 ratio and TROPOMI data, we estimate the interannual variability in the CO and CO2 anthropogenic emissions of Mexico City, highlighting the effect of an unprecedented drop in activity due to the COVID-19 lockdown.
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