467 citations as recorded by crossref.

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15. Improving the TROPOMI CO data product: update of the spectroscopic database and destriping of single orbits T. Borsdorff et al. 10.5194/amt-12-5443-2019
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18. Investigating dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures W. Tang & A. Arellano 10.1002/2016JD025216
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22. Global lightning NO<sub>x</sub> production estimated by an assimilation of multiple satellite data sets K. Miyazaki et al. 10.5194/acp-14-3277-2014
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25. 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
26. Satellite‐Observed Changes in Mexico's Offshore Gas Flaring Activity Linked to Oil/Gas Regulations Y. Zhang et al. 10.1029/2018GL081145
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28. Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
29. Unusually high soil nitrogen oxide emissions influence air quality in a high-temperature agricultural region P. Oikawa et al. 10.1038/ncomms9753
30. Interannual variability of nitrogen oxides emissions from boreal fires in Siberia and Alaska during 1996–2011 as observed from space H. Tanimoto et al. 10.1088/1748-9326/10/6/065004
31. The attempt to estimate annual variability of NOx emission in Poland using Sentinel-5P/TROPOMI data J. Godłowska et al. 10.1016/j.atmosenv.2022.119482
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34. Reduction in Anthropogenic Emissions Suppressed New Particle Formation and Growth: Insights From the COVID‐19 Lockdown V. Kanawade et al. 10.1029/2021JD035392
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42. New concepts for the comparison of tropospheric NO<sub>2</sub> column densities derived from car-MAX-DOAS observations, OMI satellite observations and the regional model CHIMERE during two MEGAPOLI campaigns in Paris 2009/10 R. Shaiganfar et al. 10.5194/amt-8-2827-2015
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44. Spatio-Temporal Heterogeneous Impacts of the Drivers of NO2 Pollution in Chinese Cities: Based on Satellite Observation Data Y. Cui et al. 10.3390/rs14143487
45. Mapping air quality zones for coastal urban centers B. Freeman et al. 10.1080/10962247.2016.1265025
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47. Satellite constraints of nitrogen oxide (NOx) emissions from India based on OMI observations and WRF‐Chem simulations S. Ghude et al. 10.1002/grl.50065
48. Spatially and seasonally resolved estimate of the ratio of organic mass to organic carbon S. Philip et al. 10.1016/j.atmosenv.2013.11.065
49. Space-based retrieval of NO<sub>2</sub> over biomass burning regions: quantifying and reducing uncertainties N. Bousserez 10.5194/amt-7-3431-2014
50. Dynamic spatial analysis of NO2 pollution over China: Satellite observations and spatial convergence models Y. Cui et al. 10.1016/j.apr.2021.02.003
51. Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea U. Jeong & H. Hong 10.3390/rs13101877
52. 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
53. Global Formaldehyde Products From the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA‐20 C. Nowlan et al. 10.1029/2022EA002643
54. Mapping carbon monoxide pollution from space down to city scales with daily global coverage T. Borsdorff et al. 10.5194/amt-11-5507-2018
55. Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. 10.5194/amt-16-481-2023
56. Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. 10.1029/2019EA000702
57. 基于国产卫星紫外可见光谱仪的大气水汽总量观测 冉. 赵 et al. 10.1360/N072023-0317
58. Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes N. Cheng et al. 10.1016/j.jclepro.2019.06.204
59. Impact of aerosol direct effect on East Asian air quality during the EAST‐AIRE campaign J. Wang et al. 10.1002/2016JD025108
60. The POLARCAT Model Intercomparison Project (POLMIP): overview and evaluation with observations L. Emmons et al. 10.5194/acp-15-6721-2015
61. 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
62. Evaluation of a regional air quality model using satellite column NO<sub>2</sub>: treatment of observation errors and model boundary conditions and emissions R. Pope et al. 10.5194/acp-15-5611-2015
63. Inter-comparison of different NOX emission inventories and associated variation in simulated surface ozone in Indian region C. Jena et al. 10.1016/j.atmosenv.2015.06.057
64. Worldwide biogenic soil NO<sub>x</sub> emissions inferred from OMI NO<sub>2</sub> observations G. Vinken et al. 10.5194/acp-14-10363-2014
65. Hindcast experiments of tropospheric composition during the summer 2010 fires over western Russia V. Huijnen et al. 10.5194/acp-12-4341-2012
66. Influence of aerosols and surface reflectance on satellite NO<sub>2</sub> retrieval: seasonal and spatial characteristics and implications for NO<sub><i>x</i></sub> emission constraints J. Lin et al. 10.5194/acp-15-11217-2015
67. Estimating Daily PM2.5 Concentrations in Beijing Using 750-M VIIRS IP AOD Retrievals and a Nested Spatiotemporal Statistical Model F. Yao et al. 10.3390/rs11070841
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69. Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
70. Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India D. Bera et al. 10.3390/land11091461
71. 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
72. Improve observation-based ground-level ozone spatial distribution by compositing satellite and surface observations: A simulation experiment Y. Zhang et al. 10.1016/j.atmosenv.2018.02.044
73. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI A. Lorente et al. 10.1038/s41598-019-56428-5
74. Satellite-observed relationships between land cover, burned area, and atmospheric composition over the southern Amazon E. Sands et al. 10.5194/acp-24-11081-2024
75. Satellite data reveal a common combustion emission pathway for major cities in China W. Tang et al. 10.5194/acp-19-4269-2019
76. Observations of a seasonal cycle in NOx emissions from fires in African woody savannas A. Mebust & R. Cohen 10.1002/grl.50343
77. Tropospheric NO2 vertical column densities retrieved from ground-based MAX-DOAS measurements at Shangdianzi regional atmospheric background station in China S. Cheng et al. 10.1016/j.jes.2018.12.012
78. The Antarctic stratospheric nitrogen hole: Southern Hemisphere and Antarctic springtime total nitrogen dioxide and total ozone variability as observed by Sentinel-5p TROPOMI A. de Laat et al. 10.5194/acp-24-4511-2024
79. Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT Z. Jiang et al. 10.5194/acp-15-99-2015
80. Increasing Ammonia Concentrations Reduce the Effectiveness of Particle Pollution Control Achieved via SO2 and NOX Emissions Reduction in East China X. Fu et al. 10.1021/acs.estlett.7b00143
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84. Improved spectral fitting of nitrogen dioxide from OMI in the 405–465 nm window J. van Geffen et al. 10.5194/amt-8-1685-2015
85. Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
86. NO<sub><i>x</i></sub> lifetimes and emissions of cities and power plants in polluted background estimated by satellite observations F. Liu et al. 10.5194/acp-16-5283-2016
87. The influence of synoptic weather regimes on UK air quality: regional model studies of tropospheric column NO<sub>2</sub> R. Pope et al. 10.5194/acp-15-11201-2015
88. Characterizing NO2in Indonesia Using Satellite Ozone Monitoring Instruments T. Darmawan & A. Syafei 10.1088/1755-1315/284/1/012011
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90. A machine learning model for estimating daily maximum 8-hour average ozone concentrations using OMI and MODIS products C. Jung et al. 10.1016/j.atmosenv.2024.120587
91. Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
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96. Reviewing global estimates of surface reactive nitrogen concentration and deposition using satellite retrievals L. Liu et al. 10.5194/acp-20-8641-2020
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98. European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
99. Fluctuation Characteristics of NO2 Pollution over Yangtze River Delta during the Period of Global Financial Crisis Y. Du & Z. Xie 10.18178/ijesd.2017.8.4.961
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113. Evaluation of nitrogen oxides (NO<sub><i>x</i></sub>) sources and sinks and ozone production in Colombia and surrounding areas J. Barten et al. 10.5194/acp-20-9441-2020
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364. Turnaround of Tropospheric Nitrogen Dioxide Pollution Trends in China, Japan, and South Korea H. Irie et al. 10.2151/sola.2016-035
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378. Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment S. Philip et al. 10.1021/es502965b
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380. NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
381. Toxic volatile organic air pollutants across Canada: multi-year concentration trends, regional air quality modelling and source apportionment C. Stroud et al. 10.1007/s10874-015-9319-z
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390. An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
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423. Concentrations of criteria pollutants in the contiguous U.S., 1979 – 2015: Role of prediction model parsimony in integrated empirical geographic regression S. Kim et al. 10.1371/journal.pone.0228535
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