https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw/Head https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw/assertion https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw/provenance https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw/pubinfo https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RARRoM-s9w0OJU2uivitAGEw-8D0mQhOug8n3lwq0G-Hw/assertion https://acp.copernicus.org/articles/24/929/2024/ http://purl.org/dc/terms/creator https://orcid.org/0000-0002-4608-3695 https://acp.copernicus.org/articles/24/929/2024/ http://purl.org/dc/terms/creator https://orcid.org/0000-0002-5763-1925 https://acp.copernicus.org/articles/24/929/2024/ http://purl.org/dc/terms/creator https://orcid.org/0000-0003-3462-2126 https://acp.copernicus.org/articles/24/929/2024/ http://purl.org/dc/terms/language https://www.omg.org/spec/LCC/Languages/LaISO639-1-LanguageCodes/en https://acp.copernicus.org/articles/24/929/2024/ http://purl.org/dc/terms/publisher https://ror.org/03xphts16 https://acp.copernicus.org/articles/24/929/2024/ http://purl.org/dc/terms/subject http://aims.fao.org/aos/agrovoc/c_694 https://acp.copernicus.org/articles/24/929/2024/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fair/ff/terms/article https://acp.copernicus.org/articles/24/929/2024/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/fdof/ontology#FAIRDigitalObject https://acp.copernicus.org/articles/24/929/2024/ http://www.w3.org/2000/01/rdf-schema#comment Extensive airborne measurements from the FIREX-AQ campaign established new parameterizations for US wildfire emissions by correlating primary pollutant levels with modified combustion efficiency. Researchers demonstrated that the sum of primary non-methane organic gas (NMOG) mixing ratios maintains a near-perfect correlation with carbon monoxide ($R^2$ = 0.98), identifying CO as a robust proxy for initializing organic gas emissions in models. Nitrogen-containing species correlate more effectively with nitrogen dioxide and black carbon than with carbon monoxide, reflecting their origin in high-temperature flaming combustion. The findings indicate that nitrogen dioxide typically represents over half of the total reactive nitrogen in fresh plumes, and the ratio of reactive nitrogen to organic gases increases exponentially with combustion efficiency. 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