Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-3091-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-3091-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Decoupling of urban CO2 and air pollutant emission reductions during the European SARS-CoV-2 lockdown
Christian Lamprecht
Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
Martin Graus
Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
Marcus Striednig
Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
Michael Stichaner
Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
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Cited articles
Alphabet Inc.: Google LLC Community Mobility Reports, 2020, available at:
https://www.google.com/covid19/mobility/ (last access: 30 January 2021), 2020.
Anenberg, S. C., Miller, J., Minjares, R., Du, L., Henze, D. K., Lacey, F., Malley, C. S., Emberson, L., Franco, V., Klimont, Z., and Heyes, C.: Impacts and mitigation of excess diesel-related NOx emissions in 11 major vehicle markets, Nature, 545, 467–471, https://doi.org/10.1038/nature22086, 2017.
Aubinet, M., Vesala, T., and Papale, D.: Eddy Covariance: A Practical Guide to Measurement and Data Analysis, Springer, https://doi.org/10.1007/978-94-007-2351-1, 2012.
Baldocchi, D. D., Hincks, B. B., and Meyers, T. P.: Measuring Biosphere-Atmosphere Exchanges of Biologically Related Gases with Micrometeorological Methods, Ecology, 69, 1331–1340,
https://doi.org/10.2307/1941631, 1988.
Bao, R. and Zhang, A.: Does lockdown reduce air pollution? Evidence from 44 cities in northern China, Sci. Total Environ., 731, 139052, https://doi.org/10.1016/j.scitotenv.2020.139052, 2020.
Blain, W., Buendia, C., Fuglestvedt, E., and Al., E.: Short lived climate forcers, edited by: Blain, W. D., Calvo Buendia, E., Fuglestvedt, J. S., Gómez, D., Masson-Delmotte, V., Tanabe, K., Yassaa, N., Zhai, P., Kranjc, A., Jamsranjav, B., Ngarize., S., Pyrozhenko, Y., Shermanau, P., Connors, S., and Moufouma-Okia, W., Institute for Global Environmental Strategies, 1–66, available at:
https://www.ipcc.ch/site/assets/uploads/2019/02/1805_Expert_Meeting_on_SLCF_Report.pdf
(last access: 30 January 2021), 2019.
Carslaw, D. C. and Rhys-Tyler, G.: New insights from comprehensive on-road measurements of NOx, NO2 and NH3 from vehicle emission remote sensing in London, UK, Atmos. Environ., 81, 339–347, https://doi.org/10.1016/j.atmosenv.2013.09.026, 2013.
Christen, A.: Atmospheric measurement techniques to quantify greenhouse gas emissions from cities, Urban Clim., 10, 241–260, https://doi.org/10.1016/j.uclim.2014.04.006, 2014.
Cobourn, W. G.: Accuracy and reliability of an automated air quality forecast system for ozone in seven Kentucky metropolitan areas, Atmos. Environ., 41, 5863–5875, https://doi.org/10.1016/j.atmosenv.2007.03.024, 2007.
Dabberdt, W. F., Lenschow, D. H., Horst, T. W., Zimmerman, P. R., Oncley, S. P., and Delany, A. C.: Atmosphere-Surface Exchange Measurements, Science, 260, 1472–1481, https://doi.org/10.1126/science.260.5113.1472, 1993.
Duffy, N. and Helmbold, D.: Boosting Methods for Regression, Mach. Learn., 47, 153–200, https://doi.org/10.1023/a:1013685603443, 2002.
EEA: EMEP/EEA air pollutant emission inventory guidebook, available at:
https://www.eea.europa.eu/themes/air/air-pollution-sources-1/emep-eea-air-pollutant-emission-inventory-guidebook/emep
(last access: 30 January 2021), 2019.
Elith, J., Leathwick, J. R., and Hastie, T.: A working guide to boosted regression trees, J. Anim. Ecol., 77, 802–813, https://doi.org/10.1111/j.1365-2656.2008.01390.x, 2008.
EPA: Locating and estimating air emissions from sources of benzene, EPA report: EPA-454/R-98-011, 1998.
EU-EUR-Lex: Directives 1999/94/EC and 2008/50/EC, available at:
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A31999L0094
(last access: 30 January 2021), 2008.
European Commission: Gas and electricity market reports, available at:
https://ec.europa.eu/energy/data-analysis/market-analysis_en (last access: 30 January 2021), 2020.
Foken, T. and Wichura, B.: Tools for quality assessment of surface-based flux
measurements, Agr. Forest. Meteorol., 78, 83–105, https://doi.org/10.1016/0168-1923(95)02248-1, 1996.
Fowler, D., Pilegaard, K., Sutton, M. A., Ambus, P., Raivonen, M., Duyzer, J., Simpson, D., Fagerli, H., Fuzzi, S., Schjoerring, J. K., Granier, C., Neftel, A., Isaksen, I. S. A., Laj, P., Maione, M., Monks, P. S., Burkhardt, J., Daemmgen, U., Neirynck, J., Personne, E., Wichink-Kruit, R., Butterbach-Bahl, K., Flechard, C., Tuovinen, J. P., Coyle, M., Gerosa, G., Loubet, B., Altimir, N., Gruenhage, L., Ammann, C., Cieslik, S., Paoletti, E., Mikkelsen, T. N., Ro-Poulsen, H., Cellier, P., Cape, J. N., Horváth, L., Loreto, F., Niinemets, U., Palmer, P. I., Rinne, J., Misztal, P., Nemitz, E., Nilsson, D., Pryor, S., Gallagher, M. W., Vesala, T., Skiba, U., Br ggemann, N., Zechmeister-Boltenstern, S., Williams, J., ODowd, C., Facchini, M. C., de Leeuw, G., Flossman, A., Chaumerliac, N., and Erisman, J. W.: Atmospheric composition change: Ecosystems Atmosphere interactions, Atmos. Environ., 43, 5193–5267, https://doi.org/10.1016/j.atmosenv.2009.07.068, 2009.
Franco, V., Posada Sanches, F., German, J., and Mock, P.: Real-world exhaust emissions from modern diesel cars, ICCT, 1–52, available at: https://theicct.org/ (last access: 26 February 2021), 2014.
Gilman, J. B., Lerner, B. M., Kuster, W. C., and de Gouw, J. A.: Source Signature of Volatile Organic Compounds from Oil and Natural Gas Operations in Northeastern Colorado, Environ. Sci. Technol., 47, 1297–1305, https://doi.org/10.1021/es304119a, 2013.
Grange, S. K. and Carslaw, D. C.: Using meteorological normalisation to detect interventions in air quality time series, Sci. Total Environ., 653, 578–588, https://doi.org/10.1016/j.scitotenv.2018.10.344, 2019.
Halliday, H. S., Thompson, A. M., Wisthaler, A., Blake, D. R., Hornbrook, R. S., Mikoviny, T., Mueller, M., Eichler, P., Apel, E. C., and Hills, A. J.: Atmospheric benzene observations from oil and gas production in the Denver-Julesburg Basin in July and August 2014, J. Geophys. Res.-Atmos., 121, 1111–5574, https://doi.org/10.1002/2016jd025327, 2016.
Helmig, D., Thompson, C. R., Evans, J., Boylan, P., Hueber, J., and Park, J.-H.: Highly Elevated Atmospheric Levels of Volatile Organic Compounds in the Uintah Basin, Utah, Environ. Sci. Technol., 48, 4707–4715, https://doi.org/10.1021/es405046r, 2014.
IEA: Fuels and technologies, available at:
https://www.iea.org/fuels-and-technologies (last access: 30 January 2021), 2020.
Im, U., Bianconi, R., Solazzo, E., Kioutsioukis, I., Badia, A., Balzarini, A., Baro, R., Bellasio, R., Brunner, D., Chemel, C., Curci, G., Flemming, J., Forkel, R., Giordano, L., Jimenez-Guerrero, P., Hirtl, M., Hodzic, A., Honzak, L., Jorba, O., Knote, C., Kuenen, J. J. P., Makar, P. A., Manders-Groot, A., Neal, L., Perez, J. L., Pirovano, G., Pouliot, G., San Jose, R., Savage, N., Schroder, W., Sokhi, R. S., Syrakov, D., Torian, A., Tuccella, P., Werhahn, J., Wolke, R., Yahya, K., Zabkar, R., Zhang, Y., Zhang, J., Hogrefe, C., and Galmarini, S.: Evaluation of operational on-line-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part I: Ozone, Atmos. Environ., 115, 404–420,
https://doi.org/10.1016/j.atmosenv.2014.09.042, 2015.
Karl, T., Guenther, A., Jordan, A., Fall, R., and Lindinger, W.: Eddy covariance measurement of biogenic oxygenated VOC emissions from hay harvesting, Atmos. Environ., 35, 491–495, https://doi.org/10.1016/S1352-2310(00)00405-2, 2001.
Karl, T., Graus, M., Striednig, M., Lamprecht, C., Hammerle, A., Wohlfahrt, G., Held, A., Von Der Heyden, L., Deventer, M. J., Krismer, A., Haun, C., Feichter, R., and Lee, J.: Urban eddy covariance measurements reveal significant missing NOx emissions in Central Europe, Sci. Rep., 7, 2536, https://doi.org/10.1038/s41598-017-02699-9, 2017.
Karl, T., Striednig, M., Graus, M., Hammerle, A., and Wohlfahrt, G.: Urban flux measurements reveal a large pool of oxygenated volatile organic compound emissions, P. Natl. Acad. Sci. USA, 115, 1186–1191, https://doi.org/10.1073/pnas.1714715115, 2018.
Karl, T., Gohm, A., Rotach, M., Ward, H., Graus, M., Cede, A., Wohlfahrt, G., Hammerle, A., Haid, M., Tiefengraber, M., Lamprecht, C., Vergeiner, J., Kreuter, A., Wagner, J., and Staudinger, M.: Studying Urban Climate and Air quality in the Alps – The Innsbruck Atmospheric Observatory, B. Am. Meteorol. Soc., 101, E488–E507, https://doi.org/10.1175/BAMS-D-19-0270.1, 2020.
Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.: A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP), Geosci. Model Dev., 8, 3695–3713, https://doi.org/10.5194/gmd-8-3695-2015, 2015.
Langford, B., Davison, B., Nemitz, E., and Hewitt, C. N.: Mixing ratios and eddy covariance flux measurements of volatile organic compounds from an urban canopy (Manchester, UK), Atmos. Chem. Phys., 9, 1971–1987, https://doi.org/10.5194/acp-9-1971-2009, 2009.
Laughner, J. L. and Cohen, R. C.: Direct observation of changing NOx lifetime in North American cities, Science, 366, 723–727, https://doi.org/10.1126/science.aax6832, 2019.
Lee, J. D., Helfter, C., Purvis, R. M., Beevers, S. D., Carslaw, D. C., Lewis, A. C., Moller, S. J., Tremper, A., Vaughan, A., and Nemitz, E. G.: Measurement of NOx Fluxes from a Tall Tower in Central London, UK and Comparison with Emissions Inventories, Environ. Sci. Technol., 49, 1025–1034, https://doi.org/10.1021/es5049072, 2015.
Lenschow, D. H. and Delany, A. C.: An analytic formulation for NO and NO2 flux profiles in the atmospheric surface layer, J. Atmos. Chem., 5, 301–309, https://doi.org/10.1007/bf00114108, 1987.
Lenschow, D. H., Gurarie, D., and Patton, E. G.: Modeling the diurnal cycle of conserved and reactive species in the convective boundary layer using SOMCRUS, Geosci. Model Dev., 9, 979–996, https://doi.org/10.5194/gmd-9-979-2016, 2016.
Le Quéré, C. , Jackson, R. B., Jones, M. W., Smith, A. J. P., Abernethy, S., Andrew, R. M., De-Gol, A. J., Willis, D. R., Shan, Y., Canadell, J. G., Friedlingstein, P., Creutzig, F., and Peters, G. P.: Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement, Nat. Clim. Change, 10, 647–653, https://doi.org/10.1038/s41558-020-0797-x, 2020.
Liu, F., Page, A., Strode, S. A., Yoshida, Y., Choi, S., Zheng, B., Lamsal, L. N., Li, C., Krotkov, N. A., Eskes, H., van der A, R., Veefkind, P., Levelt, P. F., Hauser, O. P., and Joiner, J.: Abrupt decline in tropospheric nitrogen dioxide over China after the outbreak of COVID-19, Sci. Adv., 6, 1–5, https://doi.org/10.1126/sciadv.abc2992, 2020.
Liu, Z., Ciais, P., Deng, Z., Lei, R., Davis, S. J., Feng, S., Zheng, B., Cui, D., Dou, X., Zhu, B., Guo, R., Ke, P., Sun, T., Lu, C., He, P., Wang, Y., Yue, X., Wang, Y., Lei, Y., Zhou, H., Cai, Z., Wu, Y., Guo, R., Han, T., Xue, J., Boucher, O., Boucher, E., Chevallier, F., Tanaka, K., Wei, Y., Zhong, H., Kang, C., Zhang, N., Chen, B., Xi, F., Liu, M., Breon, F., Lu, Y., Zhang, Q., Guan, D., Gong, P., Kammen, D., He, K., and Schellnhuber, H.: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic, Nat. Commun., 11, 5172, https://doi.org/10.1038/s41467-020-18922-7, 2020.
Menut, L., Bessagnet, B., Siour, G., Mailler, S., Pennel, R., and Cholakian, A.: Impact of lockdown measures to combat Covid-19 on air quality over western Europe, Sci. Total Environ., 741, 140426, https://doi.org/10.1016/j.scitotenv.2020.140426, 2020.
NAS: The Future of Atmospheric Chemistry Research: Remembering Yesterday,
Understanding Today, Anticipating Tomorrow, The National Academies Press, Washington, D.C., 2016.
Nemitz, E., Jimenez, J. L., Huffman, J. A., Ulbrich, I. M., Canagaratna, M. R., Worsnop, D. R., and Guenther, A. B.: An Eddy-Covariance System for the Measurement of Surface/Atmosphere Exchange Fluxes of Submicron Aerosol Chemical Species – First Application Above an Urban Area, Aerosol Sci. Tech., 42, 636–657, https://doi.org/10.1080/02786820802227352, 2008.
OECD/IEA/NEA/ITF: Aligning Policies for a Low-carbon Economy, OECD Publishing, Paris, ISBN 978-92-64-23326-3, https://doi.org/10.1787/9789264233294-en, 2015.
Oncley, S. P., Foken, T., Vogt, R., Kohsiek, W., DeBruin, H. A. R., Bernhofer, C., Christen, A., van Gorsel, E., Grantz, D., Feigenwinter, C., Lehner, I., Liebethal, C., Liu, H., Mauder, M., Pitacco, A., Ribeiro, L., and Weidinger, T.: The Energy Balance Experiment EBEX-2000. Part I: overview and energy balance, Bound.-Lay. Meteorol., 123, 1–28,
https://doi.org/10.1007/s10546-007-9161-1, 2007.
Patton, E. G., Horst, T. W., Sullivan, P. P., Lenschow, D. H., Oncley, S. P., Brown, W. O. J., Burns, S. P. P., Guenther, A. B., Held, A., Karl, T., Mayor, S. D., Rizzo, L. V., Spuler, S. M., Sun, J., Turnipseed, A. A., Awine, E. J., Edburg, S. L., Lamb, B. K., Avissar, R., Calhoun, R. J., Kleissl, J., Massman, W. J., Paw U, K. T., and Weil, J. C.: The canopy horizontal array turbulence study, B. Am. Meteorol. Soc., 92, 593–611, 2011.
Prybutok, V. R., Yi, J., and Mitchell, D.: Comparison of neural network models with ARIMA and regression models for prediction of Houstons daily maximum ozone concentrations, Eur. J. Oper. Res., 122, 31–40, https://doi.org/10.1016/s0377-2217(99)00069-7, 2000.
Rannik, Ü., Altimir, N., Mammarella, I., Bäck, J., Rinne, J., Ruuskanen, T. M., Hari, P., Vesala, T., and Kulmala, M.: Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables, Atmos. Chem. Phys., 12, 12165–12182, https://doi.org/10.5194/acp-12-12165-2012, 2012.
Rantala, P., Järvi, L., Taipale, R., Laurila, T. K., Patokoski, J., Kajos, M. K., Kurppa, M., Haapanala, S., Siivola, E., Petäjä, T., Ruuskanen, T. M., and Rinne, J.: Anthropogenic and biogenic influence on VOC fluxes at an urban background site in Helsinki, Finland, Atmos. Chem. Phys., 16, 7981–8007, https://doi.org/10.5194/acp-16-7981-2016, 2016.
Rinne, H. J. I., Guenther, A. B., Warneke, C., de Gouw, J. A., and Luxembourg, S. L.: Disjunct eddy covariance technique for trace gas flux measurements, Geophys. Res. Lett., 28, 3139–3142, https://doi.org/10.1029/2001gl012900, 2001.
Roberts, J. M., Stockwell, C. E., Yokelson, R. J., de Gouw, J., Liu, Y., Selimovic, V., Koss, A. R., Sekimoto, K., Coggon, M. M., Yuan, B., Zarzana, K. J., Brown, S. S., Santin, C., Doerr, S. H., and Warneke, C.: The nitrogen budget of laboratory-simulated western US wildfires during the FIREX 2016 Fire Lab study, Atmos. Chem. Phys., 20, 8807–8826,
https://doi.org/10.5194/acp-20-8807-2020, 2020.
Robeson, S. M. and Steyn, D. G.: Evaluation and comparison of statistical forecast models for daily maximum ozone concentrations, Atmos. Environ. B, 24, 303–312, https://doi.org/10.1016/0957-1272(90)90036-t, 1990.
Schiermeier, Q.: Why pollution is plummeting in some cities, but not others, Nature, 580, 313–314, https://doi.org/10.1038/d41586-020-01049-6, 2020.
Spirig, C., Neftel, A., Ammann, C., Dommen, J., Grabmer, W., Thielmann, A., Schaub, A., Beauchamp, J., Wisthaler, A., and Hansel, A.: Eddy covariance flux measurements of biogenic VOCs during ECHO 2003 using proton transfer reaction mass spectrometry, Atmos. Chem. Phys., 5, 465–481, https://doi.org/10.5194/acp-5-465-2005, 2005.
Squires, F. A., Nemitz, E., Langford, B., Wild, O., Drysdale, W. S., Acton, W. J. F., Fu, P., Grimmond, C. S. B., Hamilton, J. F., Hewitt, C. N., Hollaway, M., Kotthaus, S., Lee, J., Metzger, S., Pingintha-Durden, N., Shaw, M., Vaughan, A. R., Wang, X., Wu, R., Zhang, Q., and Zhang, Y.: Measurements of traffic-dominated pollutant emissions in a Chinese megacity, Atmos. Chem. Phys., 20, 8737–8761, https://doi.org/10.5194/acp-20-8737-2020, 2020.
Statistik Austria: Energiebilanzen, available at:
https://www.statistik.at/web_de/statistiken/energie_umwelt_innovation_mobilitaet/energie_und_umwelt/energie/energiebilanzen/index.html
(last access: 30 January 2021), 2019.
Steinbacher, M., Zellweger, C., Schwarzenbach, B., Bugmann, S., Buchmann, B.,
Ordóñez, C., Prevot, A. S. H., and Hueglin, C.: Nitrogen oxide measurements at rural sites in Switzerland: Bias of conventional measurement techniques, J. Geophys. Res., 112, D11307, https://doi.org/10.1029/2006JD007971, 2007.
Striednig, M., Graus, M., Märk, T. D., and Karl, T. G.: InnFLUX – an open-source code for conventional and disjunct eddy covariance analysis of trace gas measurements: an urban test case, Atmos. Meas. Tech., 13, 1447–1465, https://doi.org/10.5194/amt-13-1447-2020, 2020.
Sussmann, R. and Rettinger, M.: Can We Measure a COVID-19-Related Slowdown in
Atmospheric CO2 Growth? Sensitivity of Total Carbon Column Observations, Remote Sens., 12, 1–22, https://doi.org/10.3390/rs12152387, 2020.
UBA: Bundeslaender Luftschadstoffinventur 1990–2017, available at:
https://www.umweltbundesamt.at/fileadmin/site/publikationen/rep0703.pdf
(last access: 30 January 2021), 2019.
UN: World Population Prospects 2019, Volume II: Demographic Profiles, available at: https://population.un.org/wpp/Publications/ (last access: 30 January 2021), 2019.
Vaughan, A. R., Lee, J. D., Misztal, P. K., Metzger, S., Shaw, M. D., Lewis, A. C., Purvis, R. M., Carslaw, D. C., Goldstein, A. H., Hewitt, C. N., Davison, B., Beevers, S. D., and Karl, T. G.: Spatially resolved flux measurements of NOx from London suggest significantly higher emissions than predicted by inventories, Faraday Discuss., 189, 455–472, 2016.
Vaughan, A. R., Lee, J. D., Shaw, M. D., Misztal, P. K., Metzger, S., Vieno, M., Davison, B., Karl, T. G., Carpenter, L. J., Lewis, A. C., Purvis, R. M., Goldstein, A. H., and Hewitt, C. N.: VOC emission rates over London and South East England obtained by airborne eddy covariance, Faraday Discuss., 200, 599–620, https://doi.org/10.1039/c7fd00002b, 2017.
Velasco, E., Pressley, S., Allwine, E., Westberg, H., and LAmb, B.: Measurements of CO fluxes from the Mexico City urban landscape, Atmos. Environ., 39, 7433–7446, https://doi.org/10.1016/j.atmosenv.2005.08.038, 2005.
Velasco, E., Pressley, S., Grivicke, R., Allwine, E., Coons, T., Foster, W., Jobson, B. T., Westberg, H., Ramos, R., Hernández, F., Molina, L. T., and Lamb, B.: Eddy covariance flux measurements of pollutant gases in urban Mexico City, Atmos. Chem. Phys., 9, 7325–7342,
https://doi.org/10.5194/acp-9-7325-2009, 2009.
Ward, H. C., Kotthaus, S., Grimmond, C. S. B., Bjorkegren, A., Wilkinson, M., Morrison, W. T. J., Evans, J. G., Morison, J. I. L., and Iamarino, M.: Effects of urban density on carbon dioxide exchanges: Observations of dense urban, suburban and woodland areas of southern England, Environ. Pollut., 198, 186–200, https://doi.org/10.1016/j.envpol.2014.12.031, 2015.
WHO: Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19), available at:
https://www.who.int/publications-detail/report-of-the-who-china-joint-mission-on-coronavirus-disease-2019-(covid-19)
(last access: 30 January 2021), 2020.
Short summary
The first European SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) wave and associated lockdown provided a unique sensitivity experiment to study air pollution. We find significantly different emission trajectories between classical air pollution and climate gases (e.g., carbon dioxide). The analysis suggests that European policies, shifting residential, public, and commercial energy demand towards cleaner combustion, have helped to improve air quality more than expected.
The first European SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) wave and...
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