Articles | Volume 13, issue 21
Atmos. Chem. Phys., 13, 11005–11018, 2013
https://doi.org/10.5194/acp-13-11005-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 13, 11005–11018, 2013
https://doi.org/10.5194/acp-13-11005-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 12 Nov 2013
Research article | 12 Nov 2013
Inverse modeling of Texas NOx emissions using space-based and ground-based NO2 observations
W. Tang et al.
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Cited
20 citations as recorded by crossref.
- U.S. NO2 trends (2005–2013): EPA Air Quality System (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) L. Lamsal et al. 10.1016/j.atmosenv.2015.03.055
- Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. 10.1029/2021EF002167
- Aviation's emissions and contribution to the air quality in China X. Bo et al. 10.1016/j.atmosenv.2019.01.005
- An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
- High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
- Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. 10.1029/2021GL094300
- Changes in nitrogen oxides emissions in California during 2005–2010 indicated from top‐down and bottom‐up emission estimates M. Huang et al. 10.1002/2014JD022268
- Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study J. Xing et al. 10.5194/acp-20-14347-2020
- Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data S. Kemball-Cook et al. 10.1016/j.atmosenv.2015.07.002
- Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis G. Geng et al. 10.5194/acp-17-4131-2017
- Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation C. Cho et al. 10.1525/elementa.2021.00015
- Evaluation of OMI operational standard NO<sub>2</sub> column retrievals using in situ and surface-based NO<sub>2</sub> observations L. Lamsal et al. 10.5194/acp-14-11587-2014
- Influence of satellite-derived photolysis rates and NO<sub>x</sub> emissions on Texas ozone modeling W. Tang et al. 10.5194/acp-15-1601-2015
- Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
- Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
- Data Assimilation of Ambient Concentrations of Multiple Air Pollutants Using an Emission-Concentration Response Modeling Framework J. Xing et al. 10.3390/atmos11121289
- Space-based NO<sub><i>x</i></sub> emission estimates over remote regions improved in DECSO J. Ding et al. 10.5194/amt-10-925-2017
- Emissions from oil and gas operations in the United States and their air quality implications D. Allen 10.1080/10962247.2016.1171263
- Short history of NASA applied science teams for air quality and health T. Holloway et al. 10.1117/1.JRS.12.042611
- High-resolution (0.05° × 0.05°) NO<sub><i>x</i></sub> emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
20 citations as recorded by crossref.
- U.S. NO2 trends (2005–2013): EPA Air Quality System (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) L. Lamsal et al. 10.1016/j.atmosenv.2015.03.055
- Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. 10.1029/2021EF002167
- Aviation's emissions and contribution to the air quality in China X. Bo et al. 10.1016/j.atmosenv.2019.01.005
- An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
- High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
- Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. 10.1029/2021GL094300
- Changes in nitrogen oxides emissions in California during 2005–2010 indicated from top‐down and bottom‐up emission estimates M. Huang et al. 10.1002/2014JD022268
- Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study J. Xing et al. 10.5194/acp-20-14347-2020
- Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data S. Kemball-Cook et al. 10.1016/j.atmosenv.2015.07.002
- Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis G. Geng et al. 10.5194/acp-17-4131-2017
- Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation C. Cho et al. 10.1525/elementa.2021.00015
- Evaluation of OMI operational standard NO<sub>2</sub> column retrievals using in situ and surface-based NO<sub>2</sub> observations L. Lamsal et al. 10.5194/acp-14-11587-2014
- Influence of satellite-derived photolysis rates and NO<sub>x</sub> emissions on Texas ozone modeling W. Tang et al. 10.5194/acp-15-1601-2015
- Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
- Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
- Data Assimilation of Ambient Concentrations of Multiple Air Pollutants Using an Emission-Concentration Response Modeling Framework J. Xing et al. 10.3390/atmos11121289
- Space-based NO<sub><i>x</i></sub> emission estimates over remote regions improved in DECSO J. Ding et al. 10.5194/amt-10-925-2017
- Emissions from oil and gas operations in the United States and their air quality implications D. Allen 10.1080/10962247.2016.1171263
- Short history of NASA applied science teams for air quality and health T. Holloway et al. 10.1117/1.JRS.12.042611
- High-resolution (0.05° × 0.05°) NO<sub><i>x</i></sub> emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
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