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Data · dataset · 2026

Response of biogenic secondary organic aerosol formation to anthropogenic NOx emission mitigation

Listed in National Center for Atmospheric Research

This study investigates the effects of anthropogenic nitrogen oxide (NOx) mitigation reduction on secondary organic aerosol (SOA) formation from monoterpene and sesquiterpene precursors across Europe, using the threedimensional (3-D) Chemical Transport Model (CTM) CHIMERE.

Description

Two SOA mechanisms of varying complexity are employed: the GENOA -generated Biogenic Mechanism (GBM) and the Hydrophobic/Hydrophilic Organic mechanism (H 2 O).

GBM is a condensed SOA mechanism generated by automatic reduction from near -explicit chemical mechanisms (i.e., the Master Chemical Mechanism - MCM and the peroxy radical autoxidation mechanism - PRAM) using the GENerator of Reduced Organic Aerosol Mechanisms version 2.0 (GENOA v2.0). Conversely, the H 2 O mechanism is developed primarily based on experimental data, with simplified chemical pathways and SOA formation yields reflecting those from chamber experiments.

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In the 3-D simulations conducted for the summer of 2018 over Europe, the implementation of GBM significantly improved the model ' s performance in comparison to simulations using the H 2 O mechanism, yielding results more consistent with measured aerosol concentrations extracted from the EBAS database. In response to NOx emission mitigation, simulated SOA concentrations increase with GBM but decrease when using the H 2 O mechanism, unless a highly oxygenated molecules (HOMs) formation scheme is incorporated.

The SOA composition becomes more oxidized and concentrations elevate after NOx reduction, particularly in simulations using GBM. These higher concentrations are likely due to enhanced reaction rates of organic peroxy radicals (RO 2 ) with HO 2 , resulting in more oxidized products from monoterpene degradation that favors HOM formation. The results suggest that detailed SOA mechanisms including autoxidation are necessary for accurate predictions of SOA concentrations in 3-D modeling.

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National Center for Atmospheric Researcha6cd1759-e322-4368-8cc9-02253d4819928 d agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0