224 citations as recorded by crossref.

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6. The IASI NH3 version 4 product: averaging kernels and improved consistency L. Clarisse et al. https://doi.org/10.5194/amt-16-5009-2023
7. Estimating the altitude of volcanic sulfur dioxide plumes from space borne hyper‐spectral UV measurements K. Yang et al. https://doi.org/10.1029/2009GL038025
8. Long-term variability of aerosol optical thickness in Eastern Europe over 2001–2014 according to the measurements at the Moscow MSU MO AERONET site with additional cloud and NO2 correction N. Chubarova et al. https://doi.org/10.5194/amt-9-313-2016
9. Declining short-term emission control opportunity for major events in Chinese cities H. Wang et al. https://doi.org/10.1038/s44284-025-00233-x
10. An improved tropospheric NO2 column retrieval algorithm for the Ozone Monitoring Instrument K. Boersma et al. https://doi.org/10.5194/amt-4-1905-2011
11. Contrasting Biogenic Isoprene Emission Responses to La Niña and El Niño Driven by Temperature: Insights from HCHO-Based Global Inversion H. Li et al. https://doi.org/10.1021/acs.est.5c12927
12. Rain‐Induced Soil NOx Emission From India During the Onset of the Summer Monsoon: A Satellite Perspective S. Ghude et al. https://doi.org/10.1029/2009JD013367
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14. A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. https://doi.org/10.5194/acp-12-1-2012
15. Intercomparison of stratospheric nitrogen dioxide columns retrieved from ground-based DOAS and FTIR and satellite DOAS instruments over the subtropical Izana station C. Robles-Gonzalez et al. https://doi.org/10.5194/amt-9-4471-2016
16. Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone M. Huang et al. https://doi.org/10.5194/acp-25-1449-2025
17. Evaluation of OMI operational standard NO2 column retrievals using in situ and surface-based NO2 observations L. Lamsal et al. https://doi.org/10.5194/acp-14-11587-2014
18. Tropospheric bromine monoxide vertical profiles retrieved across the Alaskan Arctic in springtime N. Brockway et al. https://doi.org/10.5194/acp-24-23-2024
19. Comparison of OMI and ground‐based in situ and MAX‐DOAS measurements of tropospheric nitrogen dioxide in an urban area L. Kramer et al. https://doi.org/10.1029/2007JD009168
20. Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis K. Miyazaki & K. Bowman https://doi.org/10.5194/acp-17-8285-2017
21. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. https://doi.org/10.5194/gmd-16-509-2023
22. Influence of the wintertime North Atlantic Oscillation on European tropospheric composition: an observational and modelling study R. Pope et al. https://doi.org/10.5194/acp-18-8389-2018
23. Comparison of tropospheric NO2 from in situ aircraft measurements with near‐real‐time and standard product data from OMI E. Bucsela et al. https://doi.org/10.1029/2007JD008838
24. Comparison of GOME tropospheric NO2 columns with NO2 profiles deduced from ground-based in situ measurements D. Schaub et al. https://doi.org/10.5194/acp-6-3211-2006
25. Growth in NOx emissions from power plants in China: bottom-up estimates and satellite observations S. Wang et al. https://doi.org/10.5194/acp-12-4429-2012
26. Comparison of variability and change rate in tropospheric NO2 column obtained from satellite products across China during 1997–2015 D. Chen et al. https://doi.org/10.1080/17538947.2016.1252435
27. Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al. https://doi.org/10.5194/acp-26-809-2026
28. Insights into Tikhonov regularization: application to trace gas column retrieval and the efficient calculation of total column averaging kernels T. Borsdorff et al. https://doi.org/10.5194/amt-7-523-2014
29. Monitoring of atmospheric trace gases, clouds, aerosols and surface properties from UV/vis/NIR satellite instruments T. Wagner et al. https://doi.org/10.1088/1464-4258/10/10/104019
30. DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing https://doi.org/10.59717/j.xinn-geo.2024.100061
31. Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty J. Chimot et al. https://doi.org/10.5194/amt-12-491-2019
32. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. https://doi.org/10.5194/acp-24-8139-2024
33. Retrieval of tropospheric NO2 using the MAX-DOAS method combined with relative intensity measurements for aerosol correction T. Vlemmix et al. https://doi.org/10.5194/amt-3-1287-2010
34. Modelled NO2 tropospheric columns at different resolutions versus OMI satellite data: analysis of a 1-year BOLCHEM simulation over Europe L. Aidaoui et al. https://doi.org/10.1007/s11869-015-0315-x
35. Multi-model ensemble simulations of tropospheric NO2 compared with GOME retrievals for the year 2000 T. van Noije et al. https://doi.org/10.5194/acp-6-2943-2006
36. Influence of low spatial resolution a priori data on tropospheric NO2 satellite retrievals A. Heckel et al. https://doi.org/10.5194/amt-4-1805-2011
37. 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. https://doi.org/10.1016/j.atmosenv.2019.117051
38. Tropospheric NO2 vertical profiles over South Korea and their relation to oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO2 diurnal variation from space L. Yang et al. https://doi.org/10.5194/acp-23-2465-2023
39. Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data S. Kemball-Cook et al. https://doi.org/10.1016/j.atmosenv.2015.07.002
40. Decadal changes in global surface NOx emissions from multi-constituent satellite data assimilation K. Miyazaki et al. https://doi.org/10.5194/acp-17-807-2017
41. Simultaneous assimilation of satellite NO2, O3, CO, and HNO3 data for the analysis of tropospheric chemical composition and emissions K. Miyazaki et al. https://doi.org/10.5194/acp-12-9545-2012
42. OMI tropospheric NO2 air mass factors over South America: effects of biomass burning aerosols P. Castellanos et al. https://doi.org/10.5194/amt-8-3831-2015
43. Observing atmospheric formaldehyde (HCHO) from space: validation and intercomparison of six retrievals from four satellites (OMI, GOME2A, GOME2B, OMPS) with SEAC4RS aircraft observations over the southeast US L. Zhu et al. https://doi.org/10.5194/acp-16-13477-2016
44. Assimilation of OMI NO2 retrievals into the limited-area chemistry-transport model DEHM (V2009.0) with a 3-D OI algorithm J. Silver et al. https://doi.org/10.5194/gmd-6-1-2013
45. High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al. https://doi.org/10.5194/gmd-18-6439-2025
46. Diurnal, seasonal and long-term variations of global formaldehyde columns inferred from combined OMI and GOME-2 observations I. De Smedt et al. https://doi.org/10.5194/acp-15-12519-2015
47. OMI NO2 column densities over North American urban cities: the effect of satellite footprint resolution H. Kim et al. https://doi.org/10.5194/gmd-9-1111-2016
48. Trends, seasonal variability and dominant NOx source derived from a ten year record of NO2 measured from space R. van der A et al. https://doi.org/10.1029/2007JD009021
49. Representativeness errors in comparing chemistry transport and chemistry climate models with satellite UV–Vis tropospheric column retrievals K. Boersma et al. https://doi.org/10.5194/gmd-9-875-2016
50. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. https://doi.org/10.1016/j.atmosenv.2021.118881
51. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. https://doi.org/10.5194/acp-15-5325-2015
52. Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al. https://doi.org/10.1088/1748-9326/ad3cf9
53. Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt et al. https://doi.org/10.5194/amt-11-2395-2018
54. Effects of a priori profile shape assumptions on comparisons between satellite NO2 columns and model simulations M. Cooper et al. https://doi.org/10.5194/acp-20-7231-2020
55. Application of satellite observations for identifying regions of dominant sources of nitrogen oxides over the Indian Subcontinent S. Ghude et al. https://doi.org/10.1029/2012JD017811
56. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. https://doi.org/10.5194/acp-23-1227-2023
57. Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. https://doi.org/10.1016/j.atmosenv.2018.12.059
58. The sensitivity of OMI-derived nitrogen dioxide to boundary layer temperature inversions J. Wallace & P. Kanaroglou https://doi.org/10.1016/j.atmosenv.2009.03.049
59. A rapid method to derive horizontal distributions of trace gases and aerosols near the surface using multi-axis differential optical absorption spectroscopy Y. Wang et al. https://doi.org/10.5194/amt-7-1663-2014
60. The Assimilation of Envisat data (ASSET) project W. Lahoz et al. https://doi.org/10.5194/acp-7-1773-2007
61. Improved catalog of NOx point source emissions (version 2) S. Beirle et al. https://doi.org/10.5194/essd-15-3051-2023
62. Quantification of NOx emission from St Petersburg (Russia) using mobile DOAS measurements around the entire city D. Ionov & A. Poberovskii https://doi.org/10.1080/01431161.2015.1042123
63. Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al. https://doi.org/10.5194/amt-13-5165-2020
64. Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. https://doi.org/10.5194/essd-12-2223-2020
65. Intercomparison of SCIAMACHY nitrogen dioxide observations, in situ measurements and air quality modeling results over Western Europe N. Blond et al. https://doi.org/10.1029/2006JD007277
66. Nitrogen dioxide DOAS measurements from ground and space: comparison of zenith scattered sunlight ground-based measurements and OMI data in Central Mexico C. Rivera et al. https://doi.org/10.1016/S0187-6236(13)71085-3
67. Quantifying uncertainties in satellite NO2 superobservations for data assimilation and model evaluation P. Rijsdijk et al. https://doi.org/10.5194/gmd-18-483-2025
68. Inverse modeling of emissions and their time profiles J. Resler et al. https://doi.org/10.5094/APR.2010.036
69. An improved TROPOMI tropospheric NO2 research product over Europe S. Liu et al. https://doi.org/10.5194/amt-14-7297-2021
70. Bayesian geostatistical modelling of high-resolution NO2 exposure in Europe combining data from monitors, satellites and chemical transport models A. Beloconi & P. Vounatsou https://doi.org/10.1016/j.envint.2020.105578
71. Validating NO2 measurements in the vertical atmospheric column with the OMI instrument aboard the EOS Aura satellite against ground-based measurements at the Zvenigorod Scientific Station A. Gruzdev & A. Elokhov https://doi.org/10.1134/S0001433809040057
72. Comparing OMI-based and EPA AQS in situ NO2 trends: towards understanding surface NOx emission changes R. Zhang et al. https://doi.org/10.5194/amt-11-3955-2018
73. Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia R. Park et al. https://doi.org/10.5572/KOSAE.2013.29.4.407
74. Inverse modeling of Texas NOx emissions using space-based and ground-based NO2 observations W. Tang et al. https://doi.org/10.5194/acp-13-11005-2013
75. Novel SO2 spectral evaluation scheme using the 360–390 nm wavelength range N. Bobrowski et al. https://doi.org/10.5194/amt-3-879-2010
76. The TOMCAT global chemical transport model v1.6: description of chemical mechanism and model evaluation S. Monks et al. https://doi.org/10.5194/gmd-10-3025-2017
77. A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data J. Kim et al. https://doi.org/10.3390/rs15133453
78. Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. https://doi.org/10.1002/2017GL074436
79. A study of tropospheric NO2 variability over Pakistan using OMI data Z. ul–Haq et al. https://doi.org/10.5094/APR.2014.080
80. Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval G. González Abad et al. https://doi.org/10.5194/amt-8-19-2015
81. Multi-species chemical data assimilation with the Danish Eulerian hemispheric model: system description and verification J. Silver et al. https://doi.org/10.1007/s10874-015-9326-0
82. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. https://doi.org/10.3390/atmos13040559
83. Development of a custom OMI NO2 data product for evaluating biases in a regional chemistry transport model G. Kuhlmann et al. https://doi.org/10.5194/acp-15-5627-2015
84. Satellite constraint for emissions of nitrogen oxides from anthropogenic, lightning and soil sources over East China on a high-resolution grid J. Lin https://doi.org/10.5194/acp-12-2881-2012
85. The IAGOS NOx instrument – design, operation and first results from deployment aboard passenger aircraft F. Berkes et al. https://doi.org/10.5194/amt-11-3737-2018
86. Satellite observations indicate substantial spatiotemporal variability in biomass burning NOx emission factors for South America P. Castellanos et al. https://doi.org/10.5194/acp-14-3929-2014
87. Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period Z. Lu et al. https://doi.org/10.5194/acp-24-7793-2024
88. Global lightning NOx production estimated by an assimilation of multiple satellite data sets K. Miyazaki et al. https://doi.org/10.5194/acp-14-3277-2014
89. An Improvement of Carbon Monoxide Retrieval from SCIAMACHY by Using a Cloud Correction Scheme L. Cheng et al. https://doi.org/10.2151/sola.2012-013
90. 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. https://doi.org/10.1029/2018JD028912
91. Satellite-sensed tropospheric NO2 patterns and anomalies over Indus, Ganges, Brahmaputra, and Meghna river basins Z. ul-Haq et al. https://doi.org/10.1080/01431161.2017.1283071
92. MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparisons T. Drosoglou et al. https://doi.org/10.5194/amt-11-2239-2018
93. Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. https://doi.org/10.5194/amt-14-7775-2021
94. An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
95. Unusually high soil nitrogen oxide emissions influence air quality in a high-temperature agricultural region P. Oikawa et al. https://doi.org/10.1038/ncomms9753
96. Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model G. Chua et al. https://doi.org/10.5194/acp-23-4955-2023
97. Neighborhood-Level Nitrogen Dioxide Inequalities Contribute to Surface Ozone Variability in Houston, Texas I. Dressel et al. https://doi.org/10.1021/acsestair.4c00009
98. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al. https://doi.org/10.5194/acp-21-1759-2021
99. BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer A. Verma et al. https://doi.org/10.1007/s10661-024-12455-y
100. Large vertical gradient of reactive nitrogen oxides in the boundary layer: Modeling analysis of DISCOVER‐AQ 2011 observations Y. Zhang et al. https://doi.org/10.1002/2015JD024203
101. Ground-based monitoring of nitrogen dioxide in Kumasi, Ghana, and its comparison with satellite observations B. Mijling et al. https://doi.org/10.5194/amt-19-3063-2026
102. Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. https://doi.org/10.5194/acp-21-5269-2021
103. The global daily High Spatial–Temporal Coverage Merged tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2 K. Qin et al. https://doi.org/10.5194/essd-16-5287-2024
104. TROPOMI Level 3 tropospheric NO2 dataset with advanced uncertainty analysis from the ESA CCI+ ECV precursor project I. Glissenaar et al. https://doi.org/10.5194/essd-17-4627-2025
105. Impact of aerosols on the OMI tropospheric NO2 retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. https://doi.org/10.5194/amt-9-359-2016
106. Updated validation of ACE and OSIRIS ozone and NO2 measurements in the Arctic using ground-based instruments at Eureka, Canada K. Bognar et al. https://doi.org/10.1016/j.jqsrt.2019.07.014
107. Global variability in the detectability of power plant NO2 plumes from space R. Huang & S. Wang https://doi.org/10.5194/amt-19-6099-2026
108. Space-based retrieval of NO2 over biomass burning regions: quantifying and reducing uncertainties N. Bousserez https://doi.org/10.5194/amt-7-3431-2014
109. Intercomparison of SCIAMACHY and OMI tropospheric NO2 columns: Observing the diurnal evolution of chemistry and emissions from space K. Boersma et al. https://doi.org/10.1029/2007JD008816
110. New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. https://doi.org/10.1029/2022JD038237
111. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument X. Jin & T. Holloway https://doi.org/10.1002/2015JD023250
112. Observing decoupling processes of NO2 pollution and GDP growth based on satellite observations for Los Angeles and Tokyo R. Bichler et al. https://doi.org/10.1016/j.atmosenv.2023.119968
113. Recent trends in tropospheric NO2 over India observed by SCIAMACHY: Identification of hot spots A. Ramachandran et al. https://doi.org/10.5094/APR.2013.040
114. Influence of satellite-derived photolysis rates and NOx emissions on Texas ozone modeling W. Tang et al. https://doi.org/10.5194/acp-15-1601-2015
115. Spatial and temporal distribution of NO2 and SO2 in Inner Mongolia urban agglomeration obtained from satellite remote sensing and ground observations C. Zheng et al. https://doi.org/10.1016/j.atmosenv.2018.06.029
116. Global evaluation of SCIAMACHY and MOPITT carbon monoxide column differences for 2004–2005 A. de Laat et al. https://doi.org/10.1029/2009JD012698
117. Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions R. Pope et al. https://doi.org/10.5194/acp-15-5611-2015
118. Ground-based FTIR and MAX-DOAS observations of formaldehyde at Réunion Island and comparisons with satellite and model data C. Vigouroux et al. https://doi.org/10.5194/acp-9-9523-2009
119. The POLARCAT Model Intercomparison Project (POLMIP): overview and evaluation with observations L. Emmons et al. https://doi.org/10.5194/acp-15-6721-2015
120. Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide E. Berezin et al. https://doi.org/10.3390/atmos7100132
121. NDACC/SAOZ UV-visible total ozone measurements: improved retrieval and comparison with correlative ground-based and satellite observations F. Hendrick et al. https://doi.org/10.5194/acp-11-5975-2011
122. Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model E. Emili et al. https://doi.org/10.5194/acp-14-177-2014
123. A comparison study between CMAQ-simulated and OMI-retrieved NO2 columns over East Asia for evaluation of NOx emission fluxes of INTEX-B, CAPSS, and REAS inventories K. Han et al. https://doi.org/10.5194/acp-15-1913-2015
124. Evaluation of modeled smoke plumes of wildfires in the Argentinian Patagonia, against satellite observations M. García Ferreyra et al. https://doi.org/10.1016/j.envpol.2025.126540
125. Evaluation of atmospheric sulfur dioxide simulated with the EMAC (version 2.55) Chemistry–Climate Model using satellite and ground-based observations I. Makroum et al. https://doi.org/10.5194/gmd-19-447-2026
126. A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements A. Ramanathan et al. https://doi.org/10.5194/amt-11-4909-2018
127. Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. https://doi.org/10.5194/amt-13-4393-2020
128. Technical Note: Temporal change in averaging kernels as a source of uncertainty in trend estimates of carbon monoxide retrieved from MOPITT J. Yoon et al. https://doi.org/10.5194/acp-13-11307-2013
129. Tracking daily NOx emissions from an urban agglomeration based on TROPOMI NO2 and a local ensemble transform Kalman filter Y. Kong et al. https://doi.org/10.5194/acp-25-5959-2025
130. Model-simulated trend of surface carbon monoxide for the 2001–2010 decade J. Yoon & A. Pozzer https://doi.org/10.5194/acp-14-10465-2014
131. Evaluation of high resolution simulated and OMI retrieved tropospheric NO2 column densities over Southeastern Europe I. Zyrichidou et al. https://doi.org/10.1016/j.atmosres.2012.10.028
132. A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data K. Miyazaki et al. https://doi.org/10.5194/acp-15-8315-2015
133. A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ H. Kim et al. https://doi.org/10.3390/rs10071001
134. Transport of NOx in East Asia identified by satellite and in situ measurements and Lagrangian particle dispersion model simulations H. Lee et al. https://doi.org/10.1002/2013JD021185
135. Identification of surface NO x emission sources on a regional scale using OMI NO 2 I. Zyrichidou et al. https://doi.org/10.1016/j.atmosenv.2014.11.023
136. Indirect validation of tropospheric nitrogen dioxide retrieved from the OMI satellite instrument: Insight into the seasonal variation of nitrogen oxides at northern midlatitudes L. Lamsal et al. https://doi.org/10.1029/2009JD013351
137. Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses R. Timmermans et al. https://doi.org/10.5194/acp-19-12811-2019
138. A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. https://doi.org/10.5194/acp-21-16727-2021
139. Aerosol optical depth comparison between GAW-PFR and AERONET-Cimel radiometers from long-term (2005–2015) 1 min synchronous measurements E. Cuevas et al. https://doi.org/10.5194/amt-12-4309-2019
140. Evaluation of a regional air quality forecast model for tropospheric NO2 columns using the OMI/Aura satellite tropospheric NO2 product F. Herron-Thorpe et al. https://doi.org/10.5194/acp-10-8839-2010
141. A comparison of the impact of TROPOMI and OMI tropospheric NO2 on global chemical data assimilation T. Sekiya et al. https://doi.org/10.5194/amt-15-1703-2022
142. Water vapor retrieval from OMI visible spectra H. Wang et al. https://doi.org/10.5194/amt-7-1901-2014
143. Factors determining the seasonal variation of ozone air quality in South Korea: Regional background versus domestic emission contributions H. Lee & R. Park https://doi.org/10.1016/j.envpol.2022.119645
144. Twelve years of global observations of formaldehyde in the troposphere using GOME and SCIAMACHY sensors I. De Smedt et al. https://doi.org/10.5194/acp-8-4947-2008
145. Verification of anthropogenic emissions of China by satellite and ground observations S. Wang et al. https://doi.org/10.1016/j.atmosenv.2011.08.054
146. FRESCO+: an improved O2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals P. Wang et al. https://doi.org/10.5194/acp-8-6565-2008
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