Articles | Volume 17, issue 20
https://doi.org/10.5194/acp-17-12597-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-12597-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Oct 2017
Research article |
| 24 Oct 2017
Multi-source SO2 emission retrievals and consistency of satellite and surface measurements with reported emissions
Vitali Fioletov
CORRESPONDING AUTHOR
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, ON, Canada
Chris A. McLinden
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, ON, Canada
Shailesh K. Kharol
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, ON, Canada
Nickolay A. Krotkov
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland
College Park, MD, USA
Joanna Joiner
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, MD, USA
Michael D. Moran
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, ON, Canada
Robert Vet
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, ON, Canada
Antoon J. H. Visschedijk
TNO, Department of Climate, Air and Sustainability, Utrecht, the
Netherlands
Hugo A. C. Denier van der Gon
TNO, Department of Climate, Air and Sustainability, Utrecht, the
Netherlands
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- NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations E. Dammers et al. 10.5194/acp-19-12261-2019
- SO2 mitigation in China's coal-fired power plants: A satellite-based assessment on compliance and enforcement X. Yan & Y. Xu 10.1016/j.atmosenv.2021.118396
- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
- Comprehensive Evaluation of Spatial Distribution and Temporal Trend of NO2, SO2 and AOD Using Satellite Observations over South and East Asia from 2011 to 2021 M. Rahman et al. 10.3390/rs15205069
- SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
- Inconsistencies in sulfur dioxide emissions from the Canadian oil sands and potential implications C. McLinden et al. 10.1088/1748-9326/abcbbb
- Tracking down global NH<sub>3</sub> point sources with wind-adjusted superresolution L. Clarisse et al. 10.5194/amt-12-5457-2019
- Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset J. Hakkarainen et al. 10.3389/frsen.2022.878731
- Space‐Borne Estimation of Volcanic Sulfate Aerosol Lifetime C. Li & R. Cohen 10.1029/2020JD033883
- A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions F. Liu et al. 10.5194/acp-18-16571-2018
- Comparison between simulated SO2 concentrations using satellite emission data and Pemex emission inventories in Tabasco, Mexico C. Aguilar et al. 10.1007/s10661-020-8247-9
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
- Version 2 of the global catalogue of large anthropogenic and volcanic SO2 sources and emissions derived from satellite measurements V. Fioletov et al. 10.5194/essd-15-75-2023
- Review of Emission Inventory in Korea and Direction for Improvement Y. Jang et al. 10.5572/KOSAE.2023.39.5.775
- Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
- Assessment of the quality of TROPOMI high-spatial-resolution NO<sub>2</sub> data products in the Greater Toronto Area X. Zhao et al. 10.5194/amt-13-2131-2020
- Anthropogenic and volcanic point source SO<sub>2</sub> emissions derived from TROPOMI on board Sentinel-5 Precursor: first results V. Fioletov et al. 10.5194/acp-20-5591-2020
- Aircraft and satellite observations reveal historical gap between top–down and bottom–up CO2 emissions from Canadian oil sands S. Wren et al. 10.1093/pnasnexus/pgad140
- Forecasting, Detecting, and Tracking Volcanic Eruptions from Space M. Poland et al. 10.1007/s41976-020-00034-x
- 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
- Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA Z. Ahmed et al. 10.1038/s41598-021-03198-8
- Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
- SO2 measurements in a clean coastal environment of the southwestern Europe: Sources, transport and influence in the formation of secondary aerosols J. Adame et al. 10.1016/j.scitotenv.2020.137075
- Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
- Advances in science and applications of air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection J. Brook et al. 10.1080/10962247.2019.1607689
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- Ceramic industry at Morbi as a large source of SO2 emissions in India S. Kharol et al. 10.1016/j.atmosenv.2019.117243
- High-resolution mapping of SO2 using airborne observations from the GeoTASO instrument during the KORUS-AQ field study: PCA-based vertical column retrievals H. Chong et al. 10.1016/j.rse.2020.111725
- Recommendations on the measurement techniques of atmospheric pollutants from in situ and satellite observations: a review M. Rahman 10.1007/s12517-023-11410-4
- Application of satellite-based sulfur dioxide observations to support the cleantech sector: Detecting emission reduction from copper smelters I. Ialongo et al. 10.1016/j.eti.2018.08.006
- Assessment of the probability of human exposure to air pollution on the example of selected man-made environmental accidents V. Binenko & A. Tkachenko 10.30694/1026-5600-2019-3-80-90
- Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining S. Schmidt et al. 10.1016/j.scitotenv.2022.155512
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Quantifying urban, industrial, and background changes in NO<sub>2</sub> during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al. 10.5194/acp-22-4201-2022
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- Data assimilation of CrIS NH<sub>3</sub> satellite observations for improving spatiotemporal NH<sub>3</sub> distributions in LOTOS-EUROS S. van der Graaf et al. 10.5194/acp-22-951-2022
- Updating Chinese SO2 emissions with surface observations for regional air-quality modeling over East Asia C. Bae et al. 10.1016/j.atmosenv.2020.117416
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2 M. Crippa et al. 10.5194/essd-10-1987-2018
- Trade-driven relocation of ground-level SO2 concentrations across Chinese provinces based on satellite observations X. Zhang et al. 10.1007/s11356-022-23034-4
- Greenwashing in the US Metal Industry? A Novel Approach Combining SO2 Concentrations From Satellite Data, a Plant-Level Firm Database and Web Text Mining S. Schmidt et al. 10.2139/ssrn.4049830
- Particulate matter emission sources and meteorological parameters combine to shape the airborne bacteria communities in the Ligurian coast, Italy G. Palladino et al. 10.1038/s41598-020-80642-1
- Air Pollution Monitoring for Health Research and Patient Care. An Official American Thoracic Society Workshop Report K. Cromar et al. 10.1513/AnnalsATS.201906-477ST
- A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. 10.5194/acp-21-16727-2021
- A satellite-data-driven framework to rapidly quantify air-basin-scale NO<sub><i>x</i></sub> emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. 10.5194/acp-21-13311-2021
47 citations as recorded by crossref.
- Quantifying coal power plant responses to tighter SO 2 emissions standards in China V. Karplus et al. 10.1073/pnas.1800605115
- NH<sub>3</sub> emissions from large point sources derived from CrIS and IASI satellite observations E. Dammers et al. 10.5194/acp-19-12261-2019
- SO2 mitigation in China's coal-fired power plants: A satellite-based assessment on compliance and enforcement X. Yan & Y. Xu 10.1016/j.atmosenv.2021.118396
- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
- Comprehensive Evaluation of Spatial Distribution and Temporal Trend of NO2, SO2 and AOD Using Satellite Observations over South and East Asia from 2011 to 2021 M. Rahman et al. 10.3390/rs15205069
- SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
- Inconsistencies in sulfur dioxide emissions from the Canadian oil sands and potential implications C. McLinden et al. 10.1088/1748-9326/abcbbb
- Tracking down global NH<sub>3</sub> point sources with wind-adjusted superresolution L. Clarisse et al. 10.5194/amt-12-5457-2019
- Analyzing Local Carbon Dioxide and Nitrogen Oxide Emissions From Space Using the Divergence Method: An Application to the Synthetic SMARTCARB Dataset J. Hakkarainen et al. 10.3389/frsen.2022.878731
- Space‐Borne Estimation of Volcanic Sulfate Aerosol Lifetime C. Li & R. Cohen 10.1029/2020JD033883
- A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions F. Liu et al. 10.5194/acp-18-16571-2018
- Comparison between simulated SO2 concentrations using satellite emission data and Pemex emission inventories in Tabasco, Mexico C. Aguilar et al. 10.1007/s10661-020-8247-9
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
- Version 2 of the global catalogue of large anthropogenic and volcanic SO2 sources and emissions derived from satellite measurements V. Fioletov et al. 10.5194/essd-15-75-2023
- Review of Emission Inventory in Korea and Direction for Improvement Y. Jang et al. 10.5572/KOSAE.2023.39.5.775
- Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
- Assessment of the quality of TROPOMI high-spatial-resolution NO<sub>2</sub> data products in the Greater Toronto Area X. Zhao et al. 10.5194/amt-13-2131-2020
- Anthropogenic and volcanic point source SO<sub>2</sub> emissions derived from TROPOMI on board Sentinel-5 Precursor: first results V. Fioletov et al. 10.5194/acp-20-5591-2020
- Aircraft and satellite observations reveal historical gap between top–down and bottom–up CO2 emissions from Canadian oil sands S. Wren et al. 10.1093/pnasnexus/pgad140
- Forecasting, Detecting, and Tracking Volcanic Eruptions from Space M. Poland et al. 10.1007/s41976-020-00034-x
- 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
- Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA Z. Ahmed et al. 10.1038/s41598-021-03198-8
- Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
- SO2 measurements in a clean coastal environment of the southwestern Europe: Sources, transport and influence in the formation of secondary aerosols J. Adame et al. 10.1016/j.scitotenv.2020.137075
- Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
- Advances in science and applications of air pollution monitoring: A case study on oil sands monitoring targeting ecosystem protection J. Brook et al. 10.1080/10962247.2019.1607689
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- Ceramic industry at Morbi as a large source of SO2 emissions in India S. Kharol et al. 10.1016/j.atmosenv.2019.117243
- High-resolution mapping of SO2 using airborne observations from the GeoTASO instrument during the KORUS-AQ field study: PCA-based vertical column retrievals H. Chong et al. 10.1016/j.rse.2020.111725
- Recommendations on the measurement techniques of atmospheric pollutants from in situ and satellite observations: a review M. Rahman 10.1007/s12517-023-11410-4
- Application of satellite-based sulfur dioxide observations to support the cleantech sector: Detecting emission reduction from copper smelters I. Ialongo et al. 10.1016/j.eti.2018.08.006
- Assessment of the probability of human exposure to air pollution on the example of selected man-made environmental accidents V. Binenko & A. Tkachenko 10.30694/1026-5600-2019-3-80-90
- Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining S. Schmidt et al. 10.1016/j.scitotenv.2022.155512
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Quantifying urban, industrial, and background changes in NO<sub>2</sub> during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al. 10.5194/acp-22-4201-2022
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- Data assimilation of CrIS NH<sub>3</sub> satellite observations for improving spatiotemporal NH<sub>3</sub> distributions in LOTOS-EUROS S. van der Graaf et al. 10.5194/acp-22-951-2022
- Updating Chinese SO2 emissions with surface observations for regional air-quality modeling over East Asia C. Bae et al. 10.1016/j.atmosenv.2020.117416
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2 M. Crippa et al. 10.5194/essd-10-1987-2018
- Trade-driven relocation of ground-level SO2 concentrations across Chinese provinces based on satellite observations X. Zhang et al. 10.1007/s11356-022-23034-4
- Greenwashing in the US Metal Industry? A Novel Approach Combining SO2 Concentrations From Satellite Data, a Plant-Level Firm Database and Web Text Mining S. Schmidt et al. 10.2139/ssrn.4049830
- Particulate matter emission sources and meteorological parameters combine to shape the airborne bacteria communities in the Ligurian coast, Italy G. Palladino et al. 10.1038/s41598-020-80642-1
- Air Pollution Monitoring for Health Research and Patient Care. An Official American Thoracic Society Workshop Report K. Cromar et al. 10.1513/AnnalsATS.201906-477ST
- A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. 10.5194/acp-21-16727-2021
- A satellite-data-driven framework to rapidly quantify air-basin-scale NO<sub><i>x</i></sub> emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. 10.5194/acp-21-13311-2021
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