Atmospheric biogenic volatile organic compounds in the Alaskan Arctic tundra: constraints from measurements at Toolik Field Station

Vanessa Selimovic, Damien Ketcherside, Sreelekha Chaliyakunnel, Catherine Wielgasz, Wade Permar, Hélène Angot, Dylan B. Millet, Alan Fried, Detlev Helmig, Lu Hu

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Abstract

The Arctic is a climatically sensitive region that has experienced warming at almost 3 times the global average rate in recent decades, leading to an increase in Arctic greenness and a greater abundance of plants that emit biogenic volatile organic compounds (BVOCs). These changes in atmospheric emissions are expected to significantly modify the overall oxidative chemistry of the region and lead to changes in VOC composition and abundance, with implications for atmospheric processes. Nonetheless, observations needed to constrain our current understanding of these issues in this critical environment are sparse. This work presents novel atmospheric in situ proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS) measurements of VOCs at Toolik Field Station (TFS; 68°38′ N, 149°36' W), in the Alaskan Arctic tundra during May-June 2019. We employ a custom nested grid version of the GEOS-Chem chemical transport model (CTM), driven with MEGANv2.1 (Model of Emissions of Gases and Aerosols from Nature version 2.1) biogenic emissions for Alaska at 0.25° × 0.3125° resolution, to interpret the observations in terms of their constraints on BVOC emissions, total reactive organic carbon (ROC) composition, and calculated OH reactivity (OHr) in this environment. We find total ambient mole fraction of 78 identified VOCs to be 6.3 ± 0.4 ppbv (10.8 ± 0.5 ppbC), with overwhelming (> 80 %) contributions are from short-chain oxygenated VOCs (OVOCs) including methanol, acetone and formaldehyde. Isoprene was the most abundant terpene identified. GEOS-Chem captures the observed isoprene (and its oxidation products), acetone and acetaldehyde abundances within the combined model and observation uncertainties (±25 %), but underestimates other OVOCs including methanol, formaldehyde, formic acid and acetic acid by a factor of 3 to 12. The negative model bias for methanol is attributed to underestimated biogenic methanol emissions for the Alaskan tundra in MEGANv2.1. Observed formaldehyde mole fractions increase exponentially with air temperature, likely reflecting its biogenic precursors and pointing to a systematic model underprediction of its secondary production. The median campaign-calculated OHr from VOCs measured at TFS was 0.7 s-1, roughly 5 % of the values typically reported in lower-latitude forested ecosystems. Ten species account for over 80 % of the calculated VOC OHr, with formaldehyde, isoprene and acetaldehyde together accounting for nearly half of the total. Simulated OHr based on median-modeled VOCs included in GEOS-Chem averages 0.5 s-1 and is dominated by isoprene (30 %) and monoterpenes (17 %). The data presented here serve as a critical evaluation of our knowledge of BVOCs and ROC budgets in high-latitude environments and represent a foundation for investigating and interpreting future warming-driven changes in VOC emissions in the Alaskan Arctic tundra.

Original languageEnglish (US)
Pages (from-to)14037-14058
Number of pages22
JournalAtmospheric Chemistry and Physics
Volume22
Issue number21
DOIs
StatePublished - Nov 2 2022

Bibliographical note

Funding Information:
This study was supported by the US National Science Foundation (NSF) (no. OPP1707569), a seed grant from the University of Montana University Grant Program (UGP), and NOAA Climate Program Office's Atmospheric Chemistry, Carbon Cycle, and Climate program (no. NA20OAR4310296). Damien Ketcherside was supported by the National Institute of General Medical Sciences of the National Institutes of Health (no. P20GM103474). Dylan B. Millet acknowledges support from the NSF Grant no. 1932771. The authors would like to acknowledge high-performance computing resources and support from Cheyenne ( 10.5065/D6RX99HX ) provided by the National Center for Atmospheric Research (NCAR) Computational and Information Systems Laboratory, sponsored by the NSF, and the University of Montana's Griz Shared Computing Cluster (GSCC). We thank CH2MHill Polar Services for the logistical support, and the Toolik Field Station (TFS) staff for the tremendous assistance with the installation of the PTR-ToF. We also appreciate Bob Yokelson for the helpful discussions and Jacob Moss, Kaixin Cui, Katelyn McErlean, and Anssi Liikanen for assistance collecting the tethered balloon dataset used in this paper.

Funding Information:
This research has been supported by the National Oceanic and Atmospheric Administration (grant no. NA20OAR4310296), the National Institute of General Medical Sciences (grant no. P20GM103474), and the National Science Foundation (grant nos. OPP1707569 and 1932771).

Publisher Copyright:
Copyright © 2022 Vanessa Selimovic et al.

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