76 citations as recorded by crossref.

1. MAX-DOAS measurements and satellite validation of tropospheric NO2 and SO2 vertical column densities at a rural site of North China J. Jin et al. 10.1016/j.atmosenv.2016.03.031
2. 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
3. Global deposition of total reactive nitrogen oxides from 1996 to 2014 constrained with satellite observations of NO<sub>2</sub> columns J. Geddes & R. Martin 10.5194/acp-17-10071-2017
4. Atmospheric Vinyl Alcohol to Acetaldehyde Tautomerization Revisited J. Peeters et al. 10.1021/acs.jpclett.5b01787
5. Retrievals of formaldehyde from ground-based FTIR and MAX-DOAS observations at the Jungfraujoch station and comparisons with GEOS-Chem and IMAGES model simulations B. Franco et al. 10.5194/amtd-7-10715-2014
6. Role of Meteorological Parameters in the Diurnal and Seasonal Variation of NO2 in a Romanian Urban Environment M. Voiculescu et al. 10.3390/ijerph17176228
7. Worldwide biogenic soil NO<sub>x</sub> emissions inferred from OMI NO<sub>2</sub> observations G. Vinken et al. 10.5194/acpd-14-14683-2014
8. Intercomparison of NO<sub><i>x</i></sub> emission inventories over East Asia J. Ding et al. 10.5194/acp-17-10125-2017
9. Observations of ozone vertical profiles and corresponding precursors in the low troposphere in Beijing, China X. Chi et al. 10.1016/j.atmosres.2018.06.012
10. Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
11. Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2 Q. Rasool et al. 10.5194/gmd-9-3177-2016
12. Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
13. 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
14. 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
15. Laser-induced fluorescence-based detection of atmospheric nitrogen dioxide and comparison of different techniques during the PARADE 2011 field campaign U. Javed et al. 10.5194/amt-12-1461-2019
16. 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
17. Representativeness errors in comparing chemistry transport and chemistry climate models with satellite UV/Vis tropospheric column retrievals K. Boersma et al. 10.5194/gmdd-8-7821-2015
18. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis K. Miyazaki et al. 10.5194/acp-20-931-2020
19. Satellite evidence for changes in the NO2 weekly cycle over large cities T. Stavrakou et al. 10.1038/s41598-020-66891-0
20. Ozone and NO<sub><i>x</i></sub> chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data T. Canty et al. 10.5194/acp-15-10965-2015
21. 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
22. The impact of NOx emissions from lightning on the production of aviation-induced ozone A. Khodayari et al. 10.1016/j.atmosenv.2018.05.057
23. 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
24. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. 10.1029/2020EF001520
25. 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
26. 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
27. How consistent are top-down hydrocarbon emissions based on formaldehyde observations from GOME-2 and OMI? T. Stavrakou et al. 10.5194/acpd-15-12007-2015
28. Retrievals of formaldehyde from ground-based FTIR and MAX-DOAS observations at the Jungfraujoch station and comparisons with GEOS-Chem and IMAGES model simulations B. Franco et al. 10.5194/amt-8-1733-2015
29. Chemistry and deposition in the Model of Atmospheric composition at Global and Regional scales using Inversion Techniques for Trace gas Emissions (MAGRITTE v1.1) – Part 1: Chemical mechanism J. Müller et al. 10.5194/gmd-12-2307-2019
30. 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
31. 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
32. Isoprene emissions over Asia 1979–2012: impact of climate and land-use changes T. Stavrakou et al. 10.5194/acp-14-4587-2014
33. Four years of ground-based MAX-DOAS observations of HONO and NO<sub>2</sub> in the Beijing area F. Hendrick et al. 10.5194/acp-14-765-2014
34. Diurnal cycle and multi-decadal trend of formaldehyde in the remote atmosphere near 46° N B. Franco et al. 10.5194/acpd-15-31287-2015
35. Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0 T. Sekiya et al. 10.5194/gmd-11-959-2018
36. Influence of satellite-derived photolysis rates and NO<sub>x</sub> emissions on Texas ozone modeling W. Tang et al. 10.5194/acpd-14-24475-2014
37. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument X. Jin & T. Holloway 10.1002/2015JD023250
38. Evaluating the accuracy of NO<sub>x</sub> emission fluxes over East Asia by comparison between CMAQ-simulated and OMI-retrieved NO<sub>2</sub> columns with the application of averaging kernels from the KNMI algorithm K. Han et al. 10.5194/acpd-14-17585-2014
39. 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
40. Constraints on Aerosol Nitrate Photolysis as a Potential Source of HONO and NOx P. Romer et al. 10.1021/acs.est.8b03861
41. Regional modeling of tropospheric NO<sub>2</sub> vertical column density over East Asia during the period 2000–2010: comparison with multisatellite observations S. Itahashi et al. 10.5194/acp-14-3623-2014
42. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI A. Lorente et al. 10.1038/s41598-019-56428-5
43. Global high-resolution emissions of soil NOx, sea salt aerosols, and biogenic volatile organic compounds H. Weng et al. 10.1038/s41597-020-0488-5
44. 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
45. Tropospheric Aqueous-Phase Chemistry: Kinetics, Mechanisms, and Its Coupling to a Changing Gas Phase H. Herrmann et al. 10.1021/cr500447k
46. Remote sensing evidence of decadal changes in major tropospheric ozone precursors over East Asia A. Souri et al. 10.1002/2016JD025663
47. 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
48. 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
49. 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
50. Global lightning NO<sub>x</sub> production estimated by an assimilation of multiple satellite datasets K. Miyazaki et al. 10.5194/acpd-13-29203-2013
51. OMI tropospheric NO<sub>2</sub> air mass factors over South America: effects of biomass burning aerosols P. Castellanos et al. 10.5194/amtd-8-2683-2015
52. Adverse results of the economic crisis: A study on the emergence of enhanced formaldehyde (HCHO) levels seen from satellites over Greek urban sites I. Zyrichidou et al. 10.1016/j.atmosres.2019.03.017
53. Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions M. Cooper et al. 10.1002/2016JD025985
54. Characterization of OMI tropospheric NO<sub>2</sub> over the Baltic Sea region I. Ialongo et al. 10.5194/acpd-14-2021-2014
55. Constraints on ship NO<sub>x</sub> emissions in Europe using GEOS-Chem and OMI satellite NO<sub>2</sub> observations G. Vinken et al. 10.5194/acp-14-1353-2014
56. 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
57. Diurnal cycle and multi-decadal trend of formaldehyde in the remote atmosphere near 46° N B. Franco et al. 10.5194/acp-16-4171-2016
58. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO 2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
59. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
60. How consistent are top-down hydrocarbon emissions based on formaldehyde observations from GOME-2 and OMI? T. Stavrakou et al. 10.5194/acp-15-11861-2015
61. Monthly top-down NO x emissions for China (2005-2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
62. Formaldehyde and nitrogen dioxide in the atmosphere during summer weather extremes and wildfires in European Russia in 2010 and Western Siberia in 2012 S. Sitnov & I. Mokhov 10.1080/01431161.2017.1312618
63. Isoprene emissions over Asia 1979–2012: impact of climate and land use changes T. Stavrakou et al. 10.5194/acpd-13-29551-2013
64. Characterization of OMI tropospheric NO<sub>2</sub> over the Baltic Sea region I. Ialongo et al. 10.5194/acp-14-7795-2014
65. The reaction of methyl peroxy and hydroxyl radicals as a major source of atmospheric methanol J. Müller et al. 10.1038/ncomms13213
66. Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
67. 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
68. Insight into the formation of secondary inorganic aerosol based on high-time-resolution data during haze episodes and snowfall periods in Zhengzhou, China S. Wang et al. 10.1016/j.scitotenv.2018.12.465
69. Formation of Urban Fine Particulate Matter R. Zhang et al. 10.1021/acs.chemrev.5b00067
70. 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/acpd-15-12241-2015
71. Trend analysis of tropospheric NO<sub>2</sub> column density over East Asia during 2000–2010: multi-satellite observations and model simulations with the updated REAS emission inventory S. Itahashi et al. 10.5194/acpd-13-11247-2013
72. A Return Stroke NOx Production Model W. Koshak et al. 10.1175/JAS-D-14-0121.1
73. Estimates of power plant NOx emissions and lifetimes from OMI NO2 satellite retrievals B. de Foy et al. 10.1016/j.atmosenv.2015.05.056
74. Four years of ground-based MAX-DOAS observations of HONO and NO<sub>2</sub> in the Beijing area F. Hendrick et al. 10.5194/acpd-13-10621-2013
75. Constraints on surface NOxemissions by assimilating satellite observations of multiple species K. Miyazaki & H. Eskes 10.1002/grl.50894
76. Constraints on ship NO<sub>x</sub> emissions in Europe using GEOS-Chem and OMI satellite NO<sub>2</sub> observations G. Vinken et al. 10.5194/acpd-13-19351-2013