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6. The IASI NH3 version 4 product: averaging kernels and improved consistency L. Clarisse et al. 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. 10.1029/2009GL038025
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9. An improved tropospheric NO<sub>2</sub> column retrieval algorithm for the Ozone Monitoring Instrument K. Boersma et al. 10.5194/amt-4-1905-2011
10. Rain‐Induced Soil NOx Emission From India During the Onset of the Summer Monsoon: A Satellite Perspective S. Ghude et al. 10.1029/2009JD013367
11. An intercomparison of satellite-derived ground-level NO2 concentrations with GMSMB modeling results and in-situ measurements – A North American study B. Wang & Z. Chen 10.1016/j.envpol.2013.06.037
12. A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012
13. 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. 10.5194/amt-9-4471-2016
14. 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
15. Tropospheric bromine monoxide vertical profiles retrieved across the Alaskan Arctic in springtime N. Brockway et al. 10.5194/acp-24-23-2024
16. Comparison of OMI and ground‐based in situ and MAX‐DOAS measurements of tropospheric nitrogen dioxide in an urban area L. Kramer et al. 10.1029/2007JD009168
17. Evaluation of ACCMIP ozone simulations and ozonesonde sampling biases using a satellite-based multi-constituent chemical reanalysis K. Miyazaki & K. Bowman 10.5194/acp-17-8285-2017
18. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
19. Influence of the wintertime North Atlantic Oscillation on European tropospheric composition: an observational and modelling study R. Pope et al. 10.5194/acp-18-8389-2018
20. Comparison of tropospheric NO2 from in situ aircraft measurements with near‐real‐time and standard product data from OMI E. Bucsela et al. 10.1029/2007JD008838
21. Comparison of GOME tropospheric NO<sub>2</sub> columns with NO<sub>2</sub> profiles deduced from ground-based in situ measurements D. Schaub et al. 10.5194/acp-6-3211-2006
22. Growth in NO<sub>x</sub> emissions from power plants in China: bottom-up estimates and satellite observations S. Wang et al. 10.5194/acp-12-4429-2012
23. Comparison of variability and change rate in tropospheric NO2 column obtained from satellite products across China during 1997–2015 D. Chen et al. 10.1080/17538947.2016.1252435
24. Insights into Tikhonov regularization: application to trace gas column retrieval and the efficient calculation of total column averaging kernels T. Borsdorff et al. 10.5194/amt-7-523-2014
25. Monitoring of atmospheric trace gases, clouds, aerosols and surface properties from UV/vis/NIR satellite instruments T. Wagner et al. 10.1088/1464-4258/10/10/104019
26. DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing 10.59717/j.xinn-geo.2024.100061
27. Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
28. Retrieval of tropospheric NO<sub>2</sub> using the MAX-DOAS method combined with relative intensity measurements for aerosol correction T. Vlemmix et al. 10.5194/amt-3-1287-2010
29. Modelled NO2 tropospheric columns at different resolutions versus OMI satellite data: analysis of a 1-year BOLCHEM simulation over Europe L. Aidaoui et al. 10.1007/s11869-015-0315-x
30. Multi-model ensemble simulations of tropospheric NO<sub>2</sub> compared with GOME retrievals for the year 2000 T. van Noije et al. 10.5194/acp-6-2943-2006
31. Influence of low spatial resolution a priori data on tropospheric NO<sub>2</sub> satellite retrievals A. Heckel et al. 10.5194/amt-4-1805-2011
32. 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
33. 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. 10.5194/acp-23-2465-2023
34. 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
35. Decadal changes in global surface NO<sub><i>x</i></sub> emissions from multi-constituent satellite data assimilation K. Miyazaki et al. 10.5194/acp-17-807-2017
36. Simultaneous assimilation of satellite NO<sub>2</sub>, O<sub>3</sub>, CO, and HNO<sub>3</sub> data for the analysis of tropospheric chemical composition and emissions K. Miyazaki et al. 10.5194/acp-12-9545-2012
37. OMI tropospheric NO<sub>2</sub> air mass factors over South America: effects of biomass burning aerosols P. Castellanos et al. 10.5194/amt-8-3831-2015
38. Observing atmospheric formaldehyde (HCHO) from space: validation and intercomparison of six retrievals from four satellites (OMI, GOME2A, GOME2B, OMPS) with SEAC<sup>4</sup>RS aircraft observations over the southeast US L. Zhu et al. 10.5194/acp-16-13477-2016
39. Assimilation of OMI NO<sub>2</sub> retrievals into the limited-area chemistry-transport model DEHM (V2009.0) with a 3-D OI algorithm J. Silver et al. 10.5194/gmd-6-1-2013
40. Diurnal, seasonal and long-term variations of global formaldehyde columns inferred from combined OMI and GOME-2 observations I. De Smedt et al. 10.5194/acp-15-12519-2015
41. OMI NO<sub>2</sub> column densities over North American urban cities: the effect of satellite footprint resolution H. Kim et al. 10.5194/gmd-9-1111-2016
42. Trends, seasonal variability and dominant NOx source derived from a ten year record of NO2 measured from space R. van der A et al. 10.1029/2007JD009021
43. Representativeness errors in comparing chemistry transport and chemistry climate models with satellite UV–Vis tropospheric column retrievals K. Boersma et al. 10.5194/gmd-9-875-2016
44. 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
45. Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
46. Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al. 10.1088/1748-9326/ad3cf9
47. Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt et al. 10.5194/amt-11-2395-2018
48. Effects of a priori profile shape assumptions on comparisons between satellite NO<sub>2</sub> columns and model simulations M. Cooper et al. 10.5194/acp-20-7231-2020
49. Application of satellite observations for identifying regions of dominant sources of nitrogen oxides over the Indian Subcontinent S. Ghude et al. 10.1029/2012JD017811
50. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. 10.5194/acp-23-1227-2023
51. Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. 10.1016/j.atmosenv.2018.12.059
52. The sensitivity of OMI-derived nitrogen dioxide to boundary layer temperature inversions J. Wallace & P. Kanaroglou 10.1016/j.atmosenv.2009.03.049
53. 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. 10.5194/amt-7-1663-2014
54. The Assimilation of Envisat data (ASSET) project W. Lahoz et al. 10.5194/acp-7-1773-2007
55. Improved catalog of NOx point source emissions (version 2) S. Beirle et al. 10.5194/essd-15-3051-2023
56. Quantification of NOx emission from St Petersburg (Russia) using mobile DOAS measurements around the entire city D. Ionov & A. Poberovskii 10.1080/01431161.2015.1042123
57. 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. 10.5194/amt-13-5165-2020
58. Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
59. Intercomparison of SCIAMACHY nitrogen dioxide observations, in situ measurements and air quality modeling results over Western Europe N. Blond et al. 10.1029/2006JD007277
60. 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. 10.1016/S0187-6236(13)71085-3
61. Inverse modeling of emissions and their time profiles J. Resler et al. 10.5094/APR.2010.036
62. An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
63. Bayesian geostatistical modelling of high-resolution NO2 exposure in Europe combining data from monitors, satellites and chemical transport models A. Beloconi & P. Vounatsou 10.1016/j.envint.2020.105578
64. 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 10.1134/S0001433809040057
65. 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
66. Current Status and Development of Modeling Techniques for Forecasting and Monitoring of Air Quality over East Asia R. Park et al. 10.5572/KOSAE.2013.29.4.407
67. Inverse modeling of Texas NO<sub>x</sub> emissions using space-based and ground-based NO<sub>2</sub> observations W. Tang et al. 10.5194/acp-13-11005-2013
68. Novel SO<sub>2</sub> spectral evaluation scheme using the 360–390 nm wavelength range N. Bobrowski et al. 10.5194/amt-3-879-2010
69. The TOMCAT global chemical transport model v1.6: description of chemical mechanism and model evaluation S. Monks et al. 10.5194/gmd-10-3025-2017
70. A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data J. Kim et al. 10.3390/rs15133453
71. Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. 10.1002/2017GL074436
72. A study of tropospheric NO2 variability over Pakistan using OMI data Z. ul–Haq et al. 10.5094/APR.2014.080
73. Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval G. González Abad et al. 10.5194/amt-8-19-2015
74. Multi-species chemical data assimilation with the Danish Eulerian hemispheric model: system description and verification J. Silver et al. 10.1007/s10874-015-9326-0
75. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
76. Development of a custom OMI NO<sub>2</sub> data product for evaluating biases in a regional chemistry transport model G. Kuhlmann et al. 10.5194/acp-15-5627-2015
77. Satellite constraint for emissions of nitrogen oxides from anthropogenic, lightning and soil sources over East China on a high-resolution grid J. Lin 10.5194/acp-12-2881-2012
78. The IAGOS NO<sub><i>x</i></sub> instrument – design, operation and first results from deployment aboard passenger aircraft F. Berkes et al. 10.5194/amt-11-3737-2018
79. Satellite observations indicate substantial spatiotemporal variability in biomass burning NO<sub>x</sub> emission factors for South America P. Castellanos et al. 10.5194/acp-14-3929-2014
80. Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period Z. Lu et al. 10.5194/acp-24-7793-2024
81. 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
82. An Improvement of Carbon Monoxide Retrieval from SCIAMACHY by Using a Cloud Correction Scheme L. Cheng et al. 10.2151/sola.2012-013
83. 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. 10.1029/2018JD028912
84. Satellite-sensed tropospheric NO2 patterns and anomalies over Indus, Ganges, Brahmaputra, and Meghna river basins Z. ul-Haq et al. 10.1080/01431161.2017.1283071
85. 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
86. Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
87. Unusually high soil nitrogen oxide emissions influence air quality in a high-temperature agricultural region P. Oikawa et al. 10.1038/ncomms9753
88. Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model G. Chua et al. 10.5194/acp-23-4955-2023
89. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al. 10.5194/acp-21-1759-2021
90. BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer A. Verma et al. 10.1007/s10661-024-12455-y
91. Large vertical gradient of reactive nitrogen oxides in the boundary layer: Modeling analysis of DISCOVER‐AQ 2011 observations Y. Zhang et al. 10.1002/2015JD024203
92. Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
93. 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
94. Updated validation of ACE and OSIRIS ozone and NO2 measurements in the Arctic using ground-based instruments at Eureka, Canada K. Bognar et al. 10.1016/j.jqsrt.2019.07.014
95. Space-based retrieval of NO<sub>2</sub> over biomass burning regions: quantifying and reducing uncertainties N. Bousserez 10.5194/amt-7-3431-2014
96. Intercomparison of SCIAMACHY and OMI tropospheric NO2 columns: Observing the diurnal evolution of chemistry and emissions from space K. Boersma et al. 10.1029/2007JD008816
97. 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. 10.1029/2022JD038237
98. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument X. Jin & T. Holloway 10.1002/2015JD023250
99. Observing decoupling processes of NO2 pollution and GDP growth based on satellite observations for Los Angeles and Tokyo R. Bichler et al. 10.1016/j.atmosenv.2023.119968
100. Recent trends in tropospheric NO2 over India observed by SCIAMACHY: Identification of hot spots A. Ramachandran et al. 10.5094/APR.2013.040
101. 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
102. 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. 10.1016/j.atmosenv.2018.06.029
103. Global evaluation of SCIAMACHY and MOPITT carbon monoxide column differences for 2004–2005 A. de Laat et al. 10.1029/2009JD012698
104. 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
105. Ground-based FTIR and MAX-DOAS observations of formaldehyde at Réunion Island and comparisons with satellite and model data C. Vigouroux et al. 10.5194/acp-9-9523-2009
106. The POLARCAT Model Intercomparison Project (POLMIP): overview and evaluation with observations L. Emmons et al. 10.5194/acp-15-6721-2015
107. Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide E. Berezin et al. 10.3390/atmos7100132
108. NDACC/SAOZ UV-visible total ozone measurements: improved retrieval and comparison with correlative ground-based and satellite observations F. Hendrick et al. 10.5194/acp-11-5975-2011
109. Combined assimilation of IASI and MLS observations to constrain tropospheric and stratospheric ozone in a global chemical transport model E. Emili et al. 10.5194/acp-14-177-2014
110. A comparison study between CMAQ-simulated and OMI-retrieved NO<sub>2</sub> columns over East Asia for evaluation of NO<sub>x</sub> emission fluxes of INTEX-B, CAPSS, and REAS inventories K. Han et al. 10.5194/acp-15-1913-2015
111. A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements A. Ramanathan et al. 10.5194/amt-11-4909-2018
112. Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. 10.5194/amt-13-4393-2020
113. 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. 10.5194/acp-13-11307-2013
114. Model-simulated trend of surface carbon monoxide for the 2001–2010 decade J. Yoon & A. Pozzer 10.5194/acp-14-10465-2014
115. Evaluation of high resolution simulated and OMI retrieved tropospheric NO2 column densities over Southeastern Europe I. Zyrichidou et al. 10.1016/j.atmosres.2012.10.028
116. 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. 10.5194/acp-15-8315-2015
117. A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ H. Kim et al. 10.3390/rs10071001
118. Transport of NOx in East Asia identified by satellite and in situ measurements and Lagrangian particle dispersion model simulations H. Lee et al. 10.1002/2013JD021185
119. Identification of surface NO x emission sources on a regional scale using OMI NO 2 I. Zyrichidou et al. 10.1016/j.atmosenv.2014.11.023
120. 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. 10.1029/2009JD013351
121. Impact of synthetic space-borne NO<sub>2</sub> observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO<sub>2</sub> analyses R. Timmermans et al. 10.5194/acp-19-12811-2019
122. A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources N. Theys et al. 10.5194/acp-21-16727-2021
123. Aerosol optical depth comparison between GAW-PFR and AERONET-Cimel radiometers from long-term (2005–2015) 1 min synchronous measurements E. Cuevas et al. 10.5194/amt-12-4309-2019
124. Evaluation of a regional air quality forecast model for tropospheric NO<sub>2</sub> columns using the OMI/Aura satellite tropospheric NO<sub>2</sub> product F. Herron-Thorpe et al. 10.5194/acp-10-8839-2010
125. A comparison of the impact of TROPOMI and OMI tropospheric NO<sub>2</sub> on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
126. Water vapor retrieval from OMI visible spectra H. Wang et al. 10.5194/amt-7-1901-2014
127. Factors determining the seasonal variation of ozone air quality in South Korea: Regional background versus domestic emission contributions H. Lee & R. Park 10.1016/j.envpol.2022.119645
128. Twelve years of global observations of formaldehyde in the troposphere using GOME and SCIAMACHY sensors I. De Smedt et al. 10.5194/acp-8-4947-2008
129. Verification of anthropogenic emissions of China by satellite and ground observations S. Wang et al. 10.1016/j.atmosenv.2011.08.054
130. FRESCO+: an improved O<sub>2</sub> A-band cloud retrieval algorithm for tropospheric trace gas retrievals P. Wang et al. 10.5194/acp-8-6565-2008
131. 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
132. Evaluation of stratospheric NO2retrieved from the Ozone Monitoring Instrument: Intercomparison, diurnal cycle, and trending R. Dirksen et al. 10.1029/2010JD014943
133. A new tropospheric and stratospheric Chemistry and Transport Model MOCAGE-Climat for multi-year studies: evaluation of the present-day climatology and sensitivity to surface processes H. Teyssèdre et al. 10.5194/acp-7-5815-2007
134. Ships going slow in reducing their NOx emissions: changes in 2005–2012 ship exhaust inferred from satellite measurements over Europe K. Boersma et al. 10.1088/1748-9326/10/7/074007
135. Validation of ACE and OSIRIS ozone and NO<sub>2</sub> measurements using ground-based instruments at 80° N C. Adams et al. 10.5194/amt-5-927-2012
136. Assimilation of transformed retrievals obtained from clear‐sky IASI measurements C. Prates et al. 10.1002/qj.2764
137. Long-term MAX-DOAS measurements of NO<sub>2</sub>, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain V. Kumar et al. 10.5194/acp-20-14183-2020
138. 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
139. High resolution satellite observations give new view of UK air quality R. Pope et al. 10.1002/wea.3441
140. Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
141. Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
142. Ability of the MAX-DOAS method to derive profile information for NO<sub>2</sub>: can the boundary layer and free troposphere be separated? T. Vlemmix et al. 10.5194/amt-4-2659-2011
143. The inverse method of carbon monoxide from satellite measurement and the result analysis . Liu Cheng et al. 10.7498/aps.62.030704
144. Near-real time retrieval of tropospheric NO<sub>2</sub> from OMI K. Boersma et al. 10.5194/acp-7-2103-2007
145. Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 I. Bouarar et al. 10.1016/j.atmosenv.2018.10.043
146. Comparison between the assimilation of IASI Level 2 ozone retrievals and Level 1 radiances in a chemical transport model E. Emili et al. 10.5194/amt-12-3963-2019
147. Impact of intercontinental pollution transport on North American ozone air pollution: an HTAP phase 2 multi-model study M. Huang et al. 10.5194/acp-17-5721-2017
148. Long-term tropospheric formaldehyde concentrations deduced from ground-based fourier transform solar infrared measurements N. Jones et al. 10.5194/acp-9-7131-2009
149. Two-dimensional observation of atmospheric trace gases based on the differential optical absorption spectroscopy technique . Liu Jin et al. 10.7498/aps.64.164209
150. Detection of the trend and seasonal variation in tropospheric NO2 over China R. van der A et al. 10.1029/2005JD006594
151. Sulfur dioxide vertical column DOAS retrievals from the Ozone Monitoring Instrument: Global observations and comparison to ground‐based and satellite data N. Theys et al. 10.1002/2014JD022657
152. Intercomparison of daytime stratospheric NO<sub>2</sub> satellite retrievals and model simulations M. Belmonte Rivas et al. 10.5194/amt-7-2203-2014
153. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis K. Miyazaki et al. 10.5194/acp-20-931-2020
154. Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. 10.3390/atmos12121633
155. Variational assimilation of IASI SO<sub>2</sub> plume height and total column retrievals in the 2010 eruption of Eyjafjallajökull using the SILAM v5.3 chemistry transport model J. Vira et al. 10.5194/gmd-10-1985-2017
156. Validation of Aura-OMI QA4ECV NO<sub>2</sub> climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties S. Compernolle et al. 10.5194/acp-20-8017-2020
157. 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
158. Retrieval of large volcanic SO2 columns from the Aura Ozone Monitoring Instrument: Comparison and limitations K. Yang et al. 10.1029/2007JD008825
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