Geostationary Air Quality Monitoring Substantiates Column NO <sub>2</sub> as a Better O <sub>3</sub> Formation Regime Indicator in China

Abstract China has become a global hotspot of ozone (O 3 ) pollution, and understanding O 3 formation regime is crucial for air quality management. Satellite‐observed formaldehyde‐to‐nitrogen‐dioxide ratio (HCHO/NO 2 , FNR) has long been demonstrated as an efficient way to infer O 3 formation regime. However, reported FNR thresholds that divide O 3 formation regimes into VOC‐limited, transitional, and NO x ‐limited regimes uncover considerable differences. Using data from the world's first geostationary air quality monitoring instrument Geostationary Environment Monitoring Spectrometer, we report the spatiotemporal variations, particularly diurnal features, of O 3 ‐FNR relationships and O 3 formation regimes in China. We find that O 3 ‐FNR relationships fluctuate significantly over time and across locations, with coefficients of variation (CVs) of 0.22 and 0.27, respectively. We identified the amount of HCHO as a key factor. Given the strong correlation between NO 2 and LRO x /LNO x (chemical loss of HO 2 +RO 2 (LRO x ) to chemical loss of NO x (LNO x )), we demonstrate that O 3 formation regime thresholds alter minimally when column NO 2 is used as the indicator in China, with the CVs reduced to around 0.1. This finding highlights its potential to provide a more reliable diagnosis for large‐scale, space‐based O 3 formation sensitivity, offering promising insights for advancing O 3 pollution management in China.

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Journal
Journal of Geophysical Research Atmospheres
Published
2026-04-27
DOI
https://doi.org/10.1029/2025jd045271
Primary Topic
Atmospheric chemistry and aerosols
Type
article
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article

Geostationary Air Quality Monitoring Substantiates Column NO 2 as a Better O 3 Formation Regime Indicator in China

Xiao Lu, Arlene M. Fiore, Junsu Kim, Meng Chun Gao et al.
Journal of Geophysical Research Atmospheres
Atmospheric chemistry and aerosols
article

Geostationary Air Quality Monitoring Substantiates Column NO 2 as a Better O 3 Formation Regime Indicator in China

Xiao Lu, Arlene M. Fiore, Junsu Kim, Meng Chun Gao, Qianqian Yang, Xiaomeng Jin, C H Liu, Madankui Tao, Won‐Jin Lee, Haolin Wang, Chengxin Zhang, Yeseul Cho, Qiangqiang Yuan, Ke Li, Dong‐Won Lee
article en

Abstract

Abstract China has become a global hotspot of ozone (O 3 ) pollution, and understanding O 3 formation regime is crucial for air quality management. Satellite‐observed formaldehyde‐to‐nitrogen‐dioxide ratio (HCHO/NO 2 , FNR) has long been demonstrated as an efficient way to infer O 3 formation regime. However, reported FNR thresholds that divide O 3 formation regimes into VOC‐limited, transitional, and NO x ‐limited regimes uncover considerable differences. Using data from the world's first geostationary air quality monitoring instrument Geostationary Environment Monitoring Spectrometer, we report the spatiotemporal variations, particularly diurnal features, of O 3 ‐FNR relationships and O 3 formation regimes in China. We find that O 3 ‐FNR relationships fluctuate significantly over time and across locations, with coefficients of variation (CVs) of 0.22 and 0.27, respectively. We identified the amount of HCHO as a key factor. Given the strong correlation between NO 2 and LRO x /LNO x (chemical loss of HO 2 +RO 2 (LRO x ) to chemical loss of NO x (LNO x )), we demonstrate that O 3 formation regime thresholds alter minimally when column NO 2 is used as the indicator in China, with the CVs reduced to around 0.1. This finding highlights its potential to provide a more reliable diagnosis for large‐scale, space‐based O 3 formation sensitivity, offering promising insights for advancing O 3 pollution management in China.

Journal of Geophysical Research AtmospheresVol. 131(8)
Rutgers, The State University of New Jersey (US), University of Science and Technology of China (CN), China Meteorological Administration (CN), Hong Kong Baptist University (HK), Yonsei University (KR), Nanjing University of Information Science and Technology (CN), Wuhan University (CN), Kementerian Pendidikan Malaysia (MY), Massachusetts Institute of Technology (US), National Institute of Environmental Research (KR)
Openalex Percentile: Top 4%
Atmospheric chemistry and aerosols
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