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Published July 17, 2019 | Supplemental Material + Published
Journal Article Open

On the sources and sinks of atmospheric VOCs: an integrated analysis of recent aircraft campaigns over North America

Abstract

We apply a high-resolution chemical transport model (GEOS-Chem CTM) with updated treatment of volatile organic compounds (VOCs) and a comprehensive suite of airborne datasets over North America to (i) characterize the VOC budget and (ii) test the ability of current models to capture the distribution and reactivity of atmospheric VOCs over this region. Biogenic emissions dominate the North American VOC budget in the model, accounting for 70 % and 95 % of annually emitted VOC carbon and reactivity, respectively. Based on current inventories anthropogenic emissions have declined to the point where biogenic emissions are the dominant summertime source of VOC reactivity even in most major North American cities. Methane oxidation is a 2× larger source of nonmethane VOCs (via production of formaldehyde and methyl hydroperoxide) over North America in the model than are anthropogenic emissions. However, anthropogenic VOCs account for over half of the ambient VOC loading over the majority of the region owing to their longer aggregate lifetime. Fires can be a significant VOC source episodically but are small on average. In the planetary boundary layer (PBL), the model exhibits skill in capturing observed variability in total VOC abundance (R^2=0.36) and reactivity (R^2=0.54). The same is not true in the free troposphere (FT), where skill is low and there is a persistent low model bias (∼ 60 %), with most (27 of 34) model VOCs underestimated by more than a factor of 2. A comparison of PBL : FT concentration ratios over the southeastern US points to a misrepresentation of PBL ventilation as a contributor to these model FT biases. We also find that a relatively small number of VOCs (acetone, methanol, ethane, acetaldehyde, formaldehyde, isoprene + oxidation products, methyl hydroperoxide) drive a large fraction of total ambient VOC reactivity and associated model biases; research to improve understanding of their budgets is thus warranted. A source tracer analysis suggests a current overestimate of biogenic sources for hydroxyacetone, methyl ethyl ketone and glyoxal, an underestimate of biogenic formic acid sources, and an underestimate of peroxyacetic acid production across biogenic and anthropogenic precursors. Future work to improve model representations of vertical transport and to address the VOC biases discussed are needed to advance predictions of ozone and SOA formation.

Additional Information

© 2019 Author(s). This work is distributed under the Creative Commons Attribution 4.0 License. Published by Copernicus Publications on behalf of the European Geosciences Union. Received: 5 February 2019 – Discussion started: 12 February 2019. Revised: 12 June 2019 – Accepted: 16 June 2019 – Published: 17 July 2019. Code and data availability: Aircraft data used here are available at NASA LaRC (https://www-air.larc.nasa.gov/missions.htm, last access: 3 July 2019) and NOAA ESRL ESD (https://esrl.noaa.gov/csd/field.html, last access: 3 July 2019). GEOS-Chem model code is available at http://geos-chem.org (last access: 3 July 2019). Supplement: The supplement related to this article is available online at: https://doi.org/10.5194/acp-19-9097-2019-supplement. Author contributions: XC, DBM, HBS, and AW designed the study. XC and DBM led the model development, simulations, all analyses, and manuscript preparation. The following authors provided measurements used in the analysis and contributed to manuscript preparation and data interpretation: AW, TM, and MM (DC3, SEAC4RS, and DISCOVER-AQ PTR-MS); ECA and RSH (TOGA); ELA (CalNex WAS); DRB (CalNex, SEAC4RS, and FRAPPÉ WAS); SSB, KEM, and RAW (SENEX glyoxal); JDC (CIT-CIMS); JAdG and CW (CalNex and SENEX PTR-MS); FMF, GGP, and SRS (FRAPPÉ PTR-MS and PAN-CIMS); AF, DR, JW, and PW (DFGAS and CAMS formaldehyde); BGH, DWO'S, and VT (PCIMS); JAN (SENEX NOAA CIMS HCOOH); TBR, IB, JP, and CRT (NOAA NOyO3); JMR (CalNex and SENEX PAN); PRV (SENEX PAN); and BY (other PTR-MS data). The authors declare that they have no conflict of interest. This research was supported by the NASA Atmospheric Composition Campaign Data Analysis and Modeling (ACCDAM) program (grant NNX14AP89G). Computing resources were provided by the Minnesota Supercomputing Institute (https://www.msi.umn.edu, last access: 3 July 2019) at the University of Minnesota. We acknowledge the ECCAD database (http://eccad.sedoo.fr, last access: 3 July 2019) for hosting emission inventories used in this work. We thank Kelley Wells, Katie Travis, Seb Eastham, Joel Thornton, Paul Wennberg, and Gao Chen for their assistance and useful discussions. We thank the CalNex, DC3, SENEX, SEAC4RS, DISCOVER-AQ, and FRAPPÉ teams for making this work possible. In particular, we acknowledge the contributions of Martin Graus (SENEX PTR-MS); Jessica Gilman (SENEX WAS); Lisa Kaser (FRAPPÉ PTR-MS); Joel Thornton, Ben Lee and Felipe Lopez-Hilfiker (UW CIMS); Thomas Hanisco and Glenn Wolfe (ISAF-LIF); Ronald Cohen (TD-LIF); Greg Huey (GIT CIMS); Andrew Weinheimer and Denise Montzka (NCAR NOx/NOy); and Tara Yacovitch and Scott Herndon (DISCOVER-AQ Colorado ethane). Armin Wisthaler acknowledges the Austrian Federal Ministry for Transport, Innovation and Technology (bmvit) through the Austrian Space Applications Programme (ASAP) of the Austrian Research Promotion Agency (FFG) for supporting the PTR-MS measurements during DC3, SEAC4RS, and DISCOVER-AQ. Tomas Mikoviny was supported by an appointment to the NASA Postdoctoral Program at the Langley Research Center administered by Oak Ridge Associated Universities through a contract with NASA. Frank Flocke and Gabriele Pfister thank the State of Colorado and Colorado Department of Public Health and Environment and the National Science Foundation (NSF) for funding of FRAPPÉ. The National Center for Atmospheric Research is sponsored by NSF. NOAA ESRL researchers acknowledge funding from the NOAA Climate Program Office via the Atmospheric Chemistry, Carbon Cycle, and Climate (AC4) program for the CalNex and SENEX field projects. Thomas Ryerson acknowledges funding from NASA via IAT no. NNH12AT30I for the DC3 and SEAC^4RS field projects. This research has been supported by NASA (grant no. NNX14AP89G). Review statement: This paper was edited by Robert Harley and reviewed by two anonymous referees.

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Supplemental Material - acp-19-9097-2019-supplement.pdf

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Created:
August 19, 2023
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