Articles | Volume 18, issue 20
https://doi.org/10.5194/acp-18-15387-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-15387-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Tropospheric NO2, SO2, and HCHO over the East China Sea, using ship-based MAX-DOAS observations and comparison with OMI and OMPS satellite data
Wei Tan
Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
Anhui Province Key Laboratory of Polar Environment and Global Change, USTC, Hefei, 230026, China
Shanshan Wang
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
Shanghai Institute of Eco-Chongming (SIEC), No. 3663 Northern Zhongshan Road, Shanghai, 200062, China
Chengzhi Xing
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
Wenjing Su
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
Chengxin Zhang
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
Congzi Xia
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
Haoran Liu
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
Zhaonan Cai
Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, Beijing, 100029, China
Jianguo Liu
Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
Viewed
Total article views: 3,870 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jul 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,703 | 1,083 | 84 | 3,870 | 70 | 87 |
- HTML: 2,703
- PDF: 1,083
- XML: 84
- Total: 3,870
- BibTeX: 70
- EndNote: 87
Total article views: 3,249 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Oct 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,344 | 833 | 72 | 3,249 | 60 | 78 |
- HTML: 2,344
- PDF: 833
- XML: 72
- Total: 3,249
- BibTeX: 60
- EndNote: 78
Total article views: 621 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Jul 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
359 | 250 | 12 | 621 | 10 | 9 |
- HTML: 359
- PDF: 250
- XML: 12
- Total: 621
- BibTeX: 10
- EndNote: 9
Viewed (geographical distribution)
Total article views: 3,870 (including HTML, PDF, and XML)
Thereof 3,843 with geography defined
and 27 with unknown origin.
Total article views: 3,249 (including HTML, PDF, and XML)
Thereof 3,222 with geography defined
and 27 with unknown origin.
Total article views: 621 (including HTML, PDF, and XML)
Thereof 621 with geography defined
and 0 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
50 citations as recorded by crossref.
- Typhoon- and pollution-driven enhancement of reactive bromine in the mid-latitude marine boundary layer S. Wang et al. 10.1093/nsr/nwae074
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- The vertical distribution and potential sources of aerosols in the Yangtze River Delta region of China during open straw burning X. Tian et al. 10.1016/j.scitotenv.2022.157749
- Deep Sequence Learning for Prediction of Daily NO2 Concentration in Coastal Cities of Northern China X. Jia et al. 10.3390/atmos14030467
- Ground-Based MAX-DOAS Observations of CHOCHO and HCHO in Beijing and Baoding, China Z. Javed et al. 10.3390/rs11131524
- Advances in coastal ocean boundary layer detection technology and equipment in China H. Zheng et al. 10.1016/j.jes.2022.02.045
- Real-Time Monitoring of SO2 Emissions Using a UV Camera with Built-in NO2 and Aerosol Corrections Y. Xiong et al. 10.3390/s22103900
- Development of broadband ultraviolet pulsed laser using Ce:LiCAF crystal to determine SO\(_2\) gas concentration by differential absorption spectroscopy M. Pham et al. 10.15625/0868-3166/19360
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- First sulfur dioxide observations from the environmental trace gases monitoring instrument (EMI) onboard the GeoFen-5 satellite C. Xia et al. 10.1016/j.scib.2021.01.018
- Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
- Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project L. Ma et al. 10.3390/rs13244996
- Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence J. Wei et al. 10.1021/acs.est.2c03834
- Surveillance of SO<sub>2</sub> and NO<sub>2</sub> from ship emissions by MAX-DOAS measurements and the implications regarding fuel sulfur content compliance Y. Cheng et al. 10.5194/acp-19-13611-2019
- Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling C. Tong et al. 10.3390/rs13163137
- Detection of outflow of formaldehyde and glyoxal from the African continent to the Atlantic Ocean with a MAX-DOAS instrument L. Behrens et al. 10.5194/acp-19-10257-2019
- Identification of NO2 and SO2 over China: Characterization of polluted and hotspots Provinces M. Ali et al. 10.1007/s11869-024-01565-8
- Improved Anthropogenic SO2 Retrieval from High-Spatial-Resolution Satellite and its Application during the COVID-19 Pandemic C. Xia et al. 10.1021/acs.est.1c01970
- Estimation of winter time NOx emissions in Hefei, a typical inland city of China, using mobile MAX-DOAS observations W. Tan et al. 10.1016/j.atmosenv.2018.12.009
- Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017 C. Zhang et al. 10.1038/s41377-019-0210-6
- Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions Z. Javed et al. 10.3390/rs13122244
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Trend reversal from source region to remote tropospheric NO2 columns X. Cai et al. 10.1007/s11356-021-16857-0
- Ground-based formaldehyde across the Pearl River Delta: A snapshot and meta-analysis study X. Mo et al. 10.1016/j.atmosenv.2023.119935
- Identifying the wintertime sources of volatile organic compounds (VOCs) from MAX-DOAS measured formaldehyde and glyoxal in Chongqing, southwest China C. Xing et al. 10.1016/j.scitotenv.2019.136258
- Evaluation of transport processes over North China Plain and Yangtze River Delta using MAX-DOAS observations Y. Song et al. 10.5194/acp-23-1803-2023
- TROPOMI–Sentinel-5 Precursor formaldehyde validation using an extensive network of ground-based Fourier-transform infrared stations C. Vigouroux et al. 10.5194/amt-13-3751-2020
- Assessing the impact of urban form and urbanization process on tropospheric nitrogen dioxide pollution in the Yangtze River Delta, China Y. Gao et al. 10.1016/j.envpol.2023.122436
- Simulating the impacts of ship emissions on coastal air quality: Importance of a high-resolution emission inventory relative to cruise- and land-based observations J. Mao et al. 10.1016/j.scitotenv.2020.138454
- Vertical characteristics of NO2 and HCHO, and the ozone formation regimes in Hefei, China B. Ren et al. 10.1016/j.scitotenv.2022.153425
- Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
- Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions W. Tan et al. 10.1016/j.atmosres.2020.105037
- Spatial-temporal distribution and emission of urban scale air pollutants in Hefei based on Mobile-DOAS Z. Zhang et al. 10.1016/j.jes.2024.02.037
- Ambient formaldehyde and mortality: A time series analysis in China J. Ban et al. 10.1126/sciadv.abm4097
- Trace Gases over Land and Ocean Surfaces of China: Hotspots, Trends, and Source Contributions M. Ali et al. 10.1007/s41748-023-00354-0
- Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation Y. Zhu et al. 10.3390/rs13091798
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Validation of MAX-DOAS retrievals of aerosol extinction, SO<sub>2</sub>, and NO<sub>2</sub> through comparison with lidar, sun photometer, active DOAS, and aircraft measurements in the Athabasca oil sands region Z. Davis et al. 10.5194/amt-13-1129-2020
- Recommendations for spectral fitting of SO<sub>2</sub> from miniature multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements Z. Davis & R. McLaren 10.5194/amt-13-3993-2020
- Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China H. Lin et al. 10.3390/rs12193193
- A new insight into the vertical differences in NO2 heterogeneous reaction to produce HONO over inland and marginal seas C. Xing et al. 10.5194/acp-23-5815-2023
- Vertical distributions and potential sources of wintertime atmospheric pollutants and the corresponding ozone production on the coast of Bohai Sea C. Xing et al. 10.1016/j.jenvman.2022.115721
- MAX-DOAS observation in the midlatitude marine boundary layer: Influences of typhoon forced air mass R. Zhang et al. 10.1016/j.jes.2021.12.010
- Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements C. Rivera Cárdenas et al. 10.5194/amt-14-595-2021
- Analysis of the Effect of Economic Development on Air Quality in Jiangsu Province Using Satellite Remote Sensing and Statistical Modeling J. Jia et al. 10.3390/atmos13050697
- Evaluation and Evolution of MAX-DOAS-observed Vertical NO2 Profiles in Urban Beijing Y. Kang et al. 10.1007/s00376-021-0370-1
- Vertical characteristics and potential sources of aerosols over northeast China using ground-based MAX-DOAS C. Gao et al. 10.1016/j.apr.2023.101691
- Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. 10.1021/acsenvironau.2c00013
- MAX-DOAS and in-situ measurements of aerosols and trace gases over Dongying, China: Insight into ozone formation sensitivity based on secondary HCHO X. Zheng et al. 10.1016/j.jes.2022.09.014
- Validation of satellite formaldehyde (HCHO) retrievals using observations from 12 aircraft campaigns L. Zhu et al. 10.5194/acp-20-12329-2020
50 citations as recorded by crossref.
- Typhoon- and pollution-driven enhancement of reactive bromine in the mid-latitude marine boundary layer S. Wang et al. 10.1093/nsr/nwae074
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- The vertical distribution and potential sources of aerosols in the Yangtze River Delta region of China during open straw burning X. Tian et al. 10.1016/j.scitotenv.2022.157749
- Deep Sequence Learning for Prediction of Daily NO2 Concentration in Coastal Cities of Northern China X. Jia et al. 10.3390/atmos14030467
- Ground-Based MAX-DOAS Observations of CHOCHO and HCHO in Beijing and Baoding, China Z. Javed et al. 10.3390/rs11131524
- Advances in coastal ocean boundary layer detection technology and equipment in China H. Zheng et al. 10.1016/j.jes.2022.02.045
- Real-Time Monitoring of SO2 Emissions Using a UV Camera with Built-in NO2 and Aerosol Corrections Y. Xiong et al. 10.3390/s22103900
- Development of broadband ultraviolet pulsed laser using Ce:LiCAF crystal to determine SO\(_2\) gas concentration by differential absorption spectroscopy M. Pham et al. 10.15625/0868-3166/19360
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- First sulfur dioxide observations from the environmental trace gases monitoring instrument (EMI) onboard the GeoFen-5 satellite C. Xia et al. 10.1016/j.scib.2021.01.018
- Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
- Calibration and Data Quality Assurance Technical Advancements for Quantitative Remote Sensing in the DRAGON 4 Project L. Ma et al. 10.3390/rs13244996
- Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence J. Wei et al. 10.1021/acs.est.2c03834
- Surveillance of SO<sub>2</sub> and NO<sub>2</sub> from ship emissions by MAX-DOAS measurements and the implications regarding fuel sulfur content compliance Y. Cheng et al. 10.5194/acp-19-13611-2019
- Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling C. Tong et al. 10.3390/rs13163137
- Detection of outflow of formaldehyde and glyoxal from the African continent to the Atlantic Ocean with a MAX-DOAS instrument L. Behrens et al. 10.5194/acp-19-10257-2019
- Identification of NO2 and SO2 over China: Characterization of polluted and hotspots Provinces M. Ali et al. 10.1007/s11869-024-01565-8
- Improved Anthropogenic SO2 Retrieval from High-Spatial-Resolution Satellite and its Application during the COVID-19 Pandemic C. Xia et al. 10.1021/acs.est.1c01970
- Estimation of winter time NOx emissions in Hefei, a typical inland city of China, using mobile MAX-DOAS observations W. Tan et al. 10.1016/j.atmosenv.2018.12.009
- Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017 C. Zhang et al. 10.1038/s41377-019-0210-6
- Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions Z. Javed et al. 10.3390/rs13122244
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Trend reversal from source region to remote tropospheric NO2 columns X. Cai et al. 10.1007/s11356-021-16857-0
- Ground-based formaldehyde across the Pearl River Delta: A snapshot and meta-analysis study X. Mo et al. 10.1016/j.atmosenv.2023.119935
- Identifying the wintertime sources of volatile organic compounds (VOCs) from MAX-DOAS measured formaldehyde and glyoxal in Chongqing, southwest China C. Xing et al. 10.1016/j.scitotenv.2019.136258
- Evaluation of transport processes over North China Plain and Yangtze River Delta using MAX-DOAS observations Y. Song et al. 10.5194/acp-23-1803-2023
- TROPOMI–Sentinel-5 Precursor formaldehyde validation using an extensive network of ground-based Fourier-transform infrared stations C. Vigouroux et al. 10.5194/amt-13-3751-2020
- Assessing the impact of urban form and urbanization process on tropospheric nitrogen dioxide pollution in the Yangtze River Delta, China Y. Gao et al. 10.1016/j.envpol.2023.122436
- Simulating the impacts of ship emissions on coastal air quality: Importance of a high-resolution emission inventory relative to cruise- and land-based observations J. Mao et al. 10.1016/j.scitotenv.2020.138454
- Vertical characteristics of NO2 and HCHO, and the ozone formation regimes in Hefei, China B. Ren et al. 10.1016/j.scitotenv.2022.153425
- Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
- Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions W. Tan et al. 10.1016/j.atmosres.2020.105037
- Spatial-temporal distribution and emission of urban scale air pollutants in Hefei based on Mobile-DOAS Z. Zhang et al. 10.1016/j.jes.2024.02.037
- Ambient formaldehyde and mortality: A time series analysis in China J. Ban et al. 10.1126/sciadv.abm4097
- Trace Gases over Land and Ocean Surfaces of China: Hotspots, Trends, and Source Contributions M. Ali et al. 10.1007/s41748-023-00354-0
- Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation Y. Zhu et al. 10.3390/rs13091798
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Validation of MAX-DOAS retrievals of aerosol extinction, SO<sub>2</sub>, and NO<sub>2</sub> through comparison with lidar, sun photometer, active DOAS, and aircraft measurements in the Athabasca oil sands region Z. Davis et al. 10.5194/amt-13-1129-2020
- Recommendations for spectral fitting of SO<sub>2</sub> from miniature multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements Z. Davis & R. McLaren 10.5194/amt-13-3993-2020
- Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China H. Lin et al. 10.3390/rs12193193
- A new insight into the vertical differences in NO2 heterogeneous reaction to produce HONO over inland and marginal seas C. Xing et al. 10.5194/acp-23-5815-2023
- Vertical distributions and potential sources of wintertime atmospheric pollutants and the corresponding ozone production on the coast of Bohai Sea C. Xing et al. 10.1016/j.jenvman.2022.115721
- MAX-DOAS observation in the midlatitude marine boundary layer: Influences of typhoon forced air mass R. Zhang et al. 10.1016/j.jes.2021.12.010
- Formaldehyde total column densities over Mexico City: comparison between multi-axis differential optical absorption spectroscopy and solar-absorption Fourier transform infrared measurements C. Rivera Cárdenas et al. 10.5194/amt-14-595-2021
- Analysis of the Effect of Economic Development on Air Quality in Jiangsu Province Using Satellite Remote Sensing and Statistical Modeling J. Jia et al. 10.3390/atmos13050697
- Evaluation and Evolution of MAX-DOAS-observed Vertical NO2 Profiles in Urban Beijing Y. Kang et al. 10.1007/s00376-021-0370-1
- Vertical characteristics and potential sources of aerosols over northeast China using ground-based MAX-DOAS C. Gao et al. 10.1016/j.apr.2023.101691
- Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. 10.1021/acsenvironau.2c00013
- MAX-DOAS and in-situ measurements of aerosols and trace gases over Dongying, China: Insight into ozone formation sensitivity based on secondary HCHO X. Zheng et al. 10.1016/j.jes.2022.09.014
- Validation of satellite formaldehyde (HCHO) retrievals using observations from 12 aircraft campaigns L. Zhu et al. 10.5194/acp-20-12329-2020
Latest update: 16 Aug 2024
Short summary
This ship-based observation in June 2017 has, for the first time, reported the vertical column densities of NO2, SO2, and HCHO over oceanic areas of the East China Sea, which show good agreement with satellite observations. High levels of trace gases over oceanic areas were identified to be related to the regional transport of air pollutants from continental areas and nearby ship emissions.
This ship-based observation in June 2017 has, for the first time, reported the vertical column...
Altmetrics
Final-revised paper
Preprint