Articles | Volume 15, issue 19
https://doi.org/10.5194/acp-15-11217-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-15-11217-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Oct 2015
Research article |
| 09 Oct 2015
Influence of aerosols and surface reflectance on satellite NO2 retrieval: seasonal and spatial characteristics and implications for NOx emission constraints
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
M.-Y. Liu
Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
J.-Y. Xin
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, PR China
K. F. Boersma
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Meteorology and Air Quality department, Wageningen University, Wageningen, the Netherlands
R. Spurr
RT Solutions Inc., Cambridge, MA 02138, USA
R. Martin
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
Atomic and Molecular Physics Division, Harvard – Smithsonian Center for Astrophysics, Cambridge, Massachusetts, USA
Q. Zhang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
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Cited
67 citations as recorded by crossref.
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65 citations as recorded by crossref.
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- A top-down assessment using OMI NO<sub>2</sub> suggests an underestimate in the NO<sub><i>x</i></sub> emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. 10.5194/acp-19-1801-2019
- Global association between satellite-derived nitrogen dioxide (NO2) and lockdown policies under the COVID-19 pandemic H. Zhang et al. 10.1016/j.scitotenv.2020.144148
- NOx Emission Reduction and Recovery during COVID-19 in East China R. Zhang et al. 10.3390/atmos11040433
- Spatiotemporal variability of NO<sub>2</sub> and PM<sub>2.5</sub> over Eastern China: observational and model analyses with a novel statistical method M. Liu et al. 10.5194/acp-18-12933-2018
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- Interannual variation of reactive nitrogen emissions and their impacts on PM2.5 air pollution in China during 2005–2015 Y. Chen et al. 10.1088/1748-9326/ac3695
- Structural uncertainty in air mass factor calculation for NO<sub>2</sub> and HCHO satellite retrievals A. Lorente et al. 10.5194/amt-10-759-2017
- Evaluating a Space‐Based Indicator of Surface Ozone‐NOx‐VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends X. Jin et al. 10.1002/2017JD026720
- A new TROPOMI product for tropospheric NO<sub>2</sub> columns over East Asia with explicit aerosol corrections M. Liu et al. 10.5194/amt-13-4247-2020
- Comparing OMI-based and EPA AQS in situ NO<sub>2</sub> trends: towards understanding surface NO<sub><i>x</i></sub> emission changes R. Zhang et al. 10.5194/amt-11-3955-2018
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- Effects of daily meteorology on the interpretation of space-based remote sensing of NO<sub>2</sub> J. Laughner et al. 10.5194/acp-16-15247-2016
- 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
- NO2 Retrieval from the Environmental Trace Gases Monitoring Instrument (EMI): Preliminary Results and Intercomparison with OMI and TROPOMI L. Cheng et al. 10.3390/rs11243017
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- Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. 10.1016/j.atmosenv.2019.117051
- Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. 10.1088/1748-9326/abc7df
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- Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
- Utilization of O<sub>4</sub> slant column density to derive aerosol layer height from a space-borne UV–visible hyperspectral sensor: sensitivity and case study S. Park et al. 10.5194/acp-16-1987-2016
- Remote sensing study of ozone, NO2, and CO: some contrary effects of SARS-CoV-2 lockdown over India P. Rawat & M. Naja 10.1007/s11356-021-17441-2
- Accounting for the effects of surface BRDF on satellite cloud and trace-gas retrievals: a new approach based on geometry-dependent Lambertian equivalent reflectivity applied to OMI algorithms A. Vasilkov et al. 10.5194/amt-10-333-2017
- COVID-19 lockdown-induced changes in NO<sub>2</sub> levels across India observed by multi-satellite and surface observations A. Biswal et al. 10.5194/acp-21-5235-2021
- Assessing snow extent data sets over North America to inform and improve trace gas retrievals from solar backscatter M. Cooper et al. 10.5194/amt-11-2983-2018
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- Impact of aerosols on the OMI tropospheric NO<sub>2</sub> retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. 10.5194/amt-9-359-2016
- Assessment of Satellite-Derived Surface Reflectances by NASA’s CAR Airborne Radiometer over Railroad Valley Playa S. Kharbouche et al. 10.3390/rs9060562
- Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. 10.5194/amt-11-2257-2018
- Satellite Evidence of HONO/NO2 Increase With Fire Radiative Power C. Fredrickson et al. 10.1029/2023GL103836
- The Berkeley High Resolution Tropospheric NO<sub>2</sub> product J. Laughner et al. 10.5194/essd-10-2069-2018
- The importance of surface reflectance anisotropy for cloud and NO<sub>2</sub> retrievals from GOME-2 and OMI A. Lorente et al. 10.5194/amt-11-4509-2018
- Effect of changing NO<sub><i>x</i></sub> lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO<sub>2</sub> columns over China V. Shah et al. 10.5194/acp-20-1483-2020
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- Spatio-temporal variability of aerosols over East China inferred by merged visibility-GEOS-Chem aerosol optical depth J. Lin & J. Li 10.1016/j.atmosenv.2016.02.037
- Improved aerosol correction for OMI tropospheric NO<sub>2</sub> retrieval over East Asia: constraint from CALIOP aerosol vertical profile M. Liu et al. 10.5194/amt-12-1-2019
- The underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China X. Lu et al. 10.1038/s41467-021-25147-9
- Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al. 10.1021/acs.est.3c02111
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- Measurement report: Long-term variations in surface NO<sub><i>x</i></sub> and SO<sub>2</sub> mixing ratios from 2006 to 2016 at a background site in the Yangtze River Delta region, China Q. Yin et al. 10.5194/acp-22-1015-2022
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- Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
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- MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons T. Drosoglou et al. 10.5194/amt-11-2239-2018
- Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products Y. Wang et al. 10.5194/acp-17-5007-2017
- Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions B. Zheng et al. 10.5194/acp-18-14095-2018
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
- Spatiotemporal variability/stability analysis of NO 2 , CO, and land surface temperature (LST) during COVID-19 lockdown in Amman city, Jordan A. Almagbile & K. Hazaymeh 10.1080/10095020.2022.2066575
- A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China J. Chen et al. 10.1088/1748-9326/ac4ec0
- Air quality trends in rural India: analysis of NO2 pollution using satellite measurements M. Pathak & J. Kuttippurath 10.1039/D2EM00293K
- Mortality burden due to ambient nitrogen dioxide pollution in China: Application of high-resolution models X. Li et al. 10.1016/j.envint.2023.107967
- Rapid growth in nitrogen dioxide pollution over Western China, 2005–2013 Y. Cui et al. 10.5194/acp-16-6207-2016
- Direct estimates of biomass burning NO<sub><i>x</i></sub> emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
- A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al. 10.5194/amt-16-4643-2023
2 citations as recorded by crossref.
- Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data K. Qin et al. 10.1016/j.atmosenv.2020.117322
- Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products Y. Wang et al. 10.3390/rs11020203
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Latest update: 23 Apr 2024
Short summary
We conduct an improved OMI-based retrieval of tropospheric NO2 VCDs (POMINO) over China by explicitly accounting for aerosol optical effects and surface reflectance anisotropy. Compared to the traditional implicit aerosol treatment, an explicit treatment greatly lowers NO2 VCDs and subsequently estimated NOx emissions over eastern China, but with large spatiotemporal dependence. An explicit treatment also better captures high-pollution days. Effects of surface reflectance treatments are smaller.
We conduct an improved OMI-based retrieval of tropospheric NO2 VCDs (POMINO) over China by...
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