Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001-2018)

Liu，Song1,2; Valks，Pieter3; Curci，Gabriele4,5; Chen，Yuyang1; Shu，Lei6; Jin，Jianbing7; Sun，Shuai1; Pu，Dongchuan1; Li，Xicheng1; Li，Juan1; Zuo，Xiaoxing1; Fu，Weitao1; Li，Yali1; Zhang，Peng1; Yang，Xin1,8,9; Fu，Tzung May1,8,9; Zhu，Lei1,8,9

2024-05-07

10.1021/acs.est.3c02111

Environmental Science and Technology   影响因子和分区

0013-936X

1520-5851

Tropospheric nitrogen dioxide (NO) poses a serious threat to the environmental quality and public health. Satellite NO observations have been continuously used to monitor NO variations and improve model performances. However, the accuracy of satellite NO retrieval depends on the knowledge of aerosol optical properties, in particular for urban agglomerations accompanied by significant changes in aerosol characteristics. In this study, we investigate the impacts of aerosol composition on tropospheric NO retrieval for an 18 year global data set from Global Ozone Monitoring Experiment (GOME)-series satellite sensors. With a focus on cloud-free scenes dominated by the presence of aerosols, individual aerosol composition affects the uncertainties of tropospheric NO columns through impacts on the aerosol loading amount, relative vertical distribution of aerosol and NO, aerosol absorption properties, and surface albedo determination. Among aerosol compositions, secondary inorganic aerosol mostly dominates the NO uncertainty by up to 43.5% in urban agglomerations, while organic aerosols contribute significantly to the NO uncertainty by −8.9 to 37.3% during biomass burning seasons. The possible contrary influences from different aerosol species highlight the importance and complexity of aerosol correction on tropospheric NO retrieval and indicate the need for a full picture of aerosol properties. This is of particular importance for interpreting seasonal variations or long-term trends of tropospheric NO columns as well as for mitigating ozone and fine particulate matter pollution.

aerosol composition air quality retrieval uncertainty satellite remote sensing tropospheric NO2

SCI ; EI

英语

第一 ; 通讯

ENVIRONMENT/ECOLOGY

2-s2.0-85192413829

Scopus

1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC),Nanjing University of Information Science and Technology,Nanjing,210044,China
3.Institut für Methodik der Fernerkundung (IMF),Deutsches Zentrum für Luft- und Raumfahrt (DLR),Oberpfaffenhofen,82234,Germany
4.Department of Physical and Chemical Sciences,University of L’Aquila,L’Aquila,67100,Italy
5.Center of Excellence in Telesensing of Environment and Model Prediction of Severe Events,University of L’Aquila,L’Aquila,67100,Italy
6.School of Geographical Sciences,Fujian Normal University,Fuzhou,350117,China
7.Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control,Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,School of Environmental Science and Engineering,Nanjing University of Information Science and Technology,Nanjing,210044,China
8.Guangdong Provincial Observation and Research Station for Coastal Atmosphere and Climate of the Greater Bay Area,Shenzhen,518055,China
9.Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China

Liu，Song,Valks，Pieter,Curci，Gabriele,et al. Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001-2018)[J]. Environmental Science and Technology,2024,58(18):7891-7903.

Liu，Song.,Valks，Pieter.,Curci，Gabriele.,Chen，Yuyang.,Shu，Lei.,...&Zhu，Lei.(2024).Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001-2018).Environmental Science and Technology,58(18),7891-7903.

Liu，Song,et al."Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001-2018)".Environmental Science and Technology 58.18(2024):7891-7903.