Literature DB >> 33758588

Atmospheric peroxyacetyl nitrate (PAN): a global budget and source attribution.

E V Fischer1, D J Jacob2, R M Yantosca2, M P Sulprizio2, D B Millet3, J Mao4, F Paulot1, H B Singh5, A Roiger6, L Ries7, R W Talbot8, K Dzepina9, S Pandey Deolal10.   

Abstract

Peroxyacetyl nitrate (PAN) formed in the atmospheric oxidation of non-methane volatile organic compounds (NMVOCs) is the principal tropospheric reservoir for nitrogen oxide radicals (NOx = NO + NO2). PAN enables the transport and release of NOx to the remote troposphere with major implications for the global distributions of ozone and OH, the main tropospheric oxidants. Simulation of PAN is a challenge for global models because of the dependence of PAN on vertical transport as well as complex and uncertain NMVOC sources and chemistry. Here we use an improved representation of NMVOCs in a global 3-D chemical transport model (GEOS-Chem) and show that it can simulate PAN observations from aircraft campaigns worldwide. The immediate carbonyl precursors for PAN formation include acetaldehyde (44% of the global source), methylglyoxal (30 %), acetone (7 %), and a suite of other isoprene and terpene oxidation products (19 %). A diversity of NMVOC emissions is responsible for PAN formation globally including isoprene (37 %) and alkanes (14 %). Anthropogenic sources are dominant in the extratropical Northern Hemisphere outside the growing season. Open fires appear to play little role except at high northern latitudes in spring, although results are very sensitive to plume chemistry and plume rise. Lightning NOx is the dominant contributor to the observed PAN maximum in the free troposphere over the South Atlantic.

Entities:  

Year:  2014        PMID: 33758588      PMCID: PMC7983850          DOI: 10.5194/acp-14-2679-2014

Source DB:  PubMed          Journal:  Atmos Chem Phys        ISSN: 1680-7316            Impact factor:   6.133


  2 in total

1.  Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005-2019.

Authors:  Qingyang Zhu; Jianzhao Bi; Xiong Liu; Shenshen Li; Wenhao Wang; Yu Zhao; Yang Liu
Journal:  Environ Health Perspect       Date:  2022-02-09       Impact factor: 9.031

2.  Description of the NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0.

Authors:  Christoph A Keller; K Emma Knowland; Bryan N Duncan; Junhua Liu; Daniel C Anderson; Sampa Das; Robert A Lucchesi; Elizabeth W Lundgren; Julie M Nicely; Eric Nielsen; Lesley E Ott; Emily Saunders; Sarah A Strode; Pamela A Wales; Daniel J Jacob; Steven Pawson
Journal:  J Adv Model Earth Syst       Date:  2021-04-07       Impact factor: 6.660

  2 in total

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