Articles | Volume 13, issue 21
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.
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
Department of Civil and Environmental Engineering, Rice University, 6100 Main Street MS 519, Houston, TX 77005, USA
D. S. Cohan
Department of Civil and Environmental Engineering, Rice University, 6100 Main Street MS 519, Houston, TX 77005, USA
L. N. Lamsal
Goddard Earth Sciences Technology & Research, Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
X. Xiao
Department of Civil and Environmental Engineering, Rice University, 6100 Main Street MS 519, Houston, TX 77005, USA
W. Zhou
Department of Civil and Environmental Engineering, Rice University, 6100 Main Street MS 519, Houston, TX 77005, USA
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Cited
25 citations as recorded by crossref.
- 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
- 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
- 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
- Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. 10.1016/j.atmosres.2022.106076
- 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
- First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns J. Park et al. 10.1038/s41598-024-76223-1
- 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
- The Impact of Springtime‐Transported Air Pollutants on Local Air Quality With Satellite‐Constrained NOx Emission Adjustments Over East Asia J. Jung et al. 10.1029/2021JD035251
- 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
- Assessing mass balance-based inverse modeling methods via a pseudo-observation test to constrain NOx emissions over South Korea J. Mun et al. 10.1016/j.atmosenv.2022.119429
- 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
- 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
- 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
- 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
- Urban-scale variational flux inversion for CO Using TROPOMI total-column retrievals: A case study of Tehran N. Shahrokhi et al. 10.1016/j.atmosenv.2023.120009
- 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
- High-resolution (0.05° × 0.05°) NOx emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
25 citations as recorded by crossref.
- 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
- 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
- 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
- Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. 10.1016/j.atmosres.2022.106076
- 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
- First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns J. Park et al. 10.1038/s41598-024-76223-1
- 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
- The Impact of Springtime‐Transported Air Pollutants on Local Air Quality With Satellite‐Constrained NOx Emission Adjustments Over East Asia J. Jung et al. 10.1029/2021JD035251
- 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
- Assessing mass balance-based inverse modeling methods via a pseudo-observation test to constrain NOx emissions over South Korea J. Mun et al. 10.1016/j.atmosenv.2022.119429
- 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
- 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
- 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
- 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
- Urban-scale variational flux inversion for CO Using TROPOMI total-column retrievals: A case study of Tehran N. Shahrokhi et al. 10.1016/j.atmosenv.2023.120009
- 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
- High-resolution (0.05° × 0.05°) NOx emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
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