77 citations as recorded by crossref.

1. Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS A. Inness et al. https://doi.org/10.5194/acp-15-5275-2015
2. Characterization of OMI tropospheric NO2 over the Baltic Sea region I. Ialongo et al. https://doi.org/10.5194/acp-14-7795-2014
3. Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. https://doi.org/10.5194/acp-20-7843-2020
4. Atmospheric pollution over the eastern Mediterranean during summer – a review U. Dayan et al. https://doi.org/10.5194/acp-17-13233-2017
5. Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. https://doi.org/10.1002/2017GL076788
6. Ozone and NOx chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data T. Canty et al. https://doi.org/10.5194/acp-15-10965-2015
7. Spatial variation in the association between NO2 concentrations and shipping emissions in the Red Sea S. Alahmadi et al. https://doi.org/10.1016/j.scitotenv.2019.04.161
8. A numerical approach to assess air pollution by ship engines in manoeuvring mode and fuel switch conditions P. Iodice et al. https://doi.org/10.1177/0958305X17734050
9. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. https://doi.org/10.5194/acp-18-5699-2018
10. 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
11. A comprehensive inventory of ship traffic exhaust emissions in the European sea areas in 2011 J. Jalkanen et al. https://doi.org/10.5194/acp-16-71-2016
12. Monitoring shipping emissions in the German Bight using MAX-DOAS measurements A. Seyler et al. https://doi.org/10.5194/acp-17-10997-2017
13. European NOx emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. https://doi.org/10.5194/acp-19-11821-2019
14. Vertical profiles of global tropospheric nitrogen dioxide (NO2) obtained by cloud slicing the TROPOspheric Monitoring Instrument (TROPOMI) R. Horner et al. https://doi.org/10.5194/acp-24-13047-2024
15. 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
16. Model evaluation of methods for estimating surface emissions and chemical lifetimes from satellite data B. de Foy et al. https://doi.org/10.1016/j.atmosenv.2014.08.051
17. Satellite observation of pollutant emissions from gas flaring activities near the Arctic C. Li et al. https://doi.org/10.1016/j.atmosenv.2016.03.019
18. Supervised Segmentation of NO2 Plumes from Individual Ships Using TROPOMI Satellite Data S. Kurchaba et al. https://doi.org/10.3390/rs14225809
19. 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
20. Improved detection of global NO2 signals from shipping in Sentinel-5P TROPOMI data M. Latsch et al. https://doi.org/10.5194/amt-18-4373-2025
21. Field Observations and Numerical Model Analysis of Air Pollutants in Marine Atmosphere: From Asia to the Arctic Y. Kanaya https://doi.org/10.5988/jime.53.172
22. Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. https://doi.org/10.5194/amt-14-5241-2021
23. 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
24. Revising the slant column density retrieval of nitrogen dioxide observed by the Ozone Monitoring Instrument S. Marchenko et al. https://doi.org/10.1002/2014JD022913
25. Structural uncertainty in air mass factor calculation for NO2 and HCHO satellite retrievals A. Lorente et al. https://doi.org/10.5194/amt-10-759-2017
26. Comparison of OMI NO2 observations and their seasonal and weekly cycles with ground-based measurements in Helsinki I. Ialongo et al. https://doi.org/10.5194/amt-9-5203-2016
27. Advancing shipping NOx pollution estimation through a satellite-based approach Z. Luo et al. https://doi.org/10.1093/pnasnexus/pgad430
28. Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns M. Krol et al. https://doi.org/10.5194/acp-24-8243-2024
29. Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. https://doi.org/10.1002/2016JD025852
30. Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. https://doi.org/10.1016/j.atmosenv.2018.12.059
31. An improved retrieval of tropospheric NO2 from space over polluted regions using an Earth radiance reference J. Anand et al. https://doi.org/10.5194/amt-8-1519-2015
32. Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. https://doi.org/10.1029/2021JD035484
33. Quantification of the effect of modeled lightning NO2 on UV–visible air mass factors J. Laughner & R. Cohen https://doi.org/10.5194/amt-10-4403-2017
34. The climate impact of ship NOx emissions: an improved estimate accounting for plume chemistry C. Holmes et al. https://doi.org/10.5194/acp-14-6801-2014
35. Analysis of the emission inventories and model-ready emission datasets of Europe and North America for phase 2 of the AQMEII project G. Pouliot et al. https://doi.org/10.1016/j.atmosenv.2014.10.061
36. 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
37. Worldwide biogenic soil NOx emissions inferred from OMI NO2 observations G. Vinken et al. https://doi.org/10.5194/acp-14-10363-2014
38. Ships going slow in reducing their NOx emissions: changes in 2005–2012 ship exhaust inferred from satellite measurements over Europe K. Boersma et al. https://doi.org/10.1088/1748-9326/10/7/074007
39. Space-based NOx emission estimates over remote regions improved in DECSO J. Ding et al. https://doi.org/10.5194/amt-10-925-2017
40. Satellite unravels recent changes in atmospheric nitrogen oxides emissions from global ocean shipping X. Wang et al. https://doi.org/10.1016/j.jclepro.2023.139591
41. Anthropogenic emissions of NOxover China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurements D. Gu et al. https://doi.org/10.1002/2014JD021644
42. Quantification of lightning-produced NOx over the Pyrenees and the Ebro Valley by using different TROPOMI-NO2 and cloud research products F. Pérez-Invernón et al. https://doi.org/10.5194/amt-15-3329-2022
43. To new heights by flying low: comparison of aircraft vertical NO2 profiles to model simulations and implications for TROPOMI NO2 retrievals T. Riess et al. https://doi.org/10.5194/amt-16-5287-2023
44. Satellite-Based Estimates of Individual Ship NOx Emissions Z. Luo et al. https://doi.org/10.1021/acsestair.5c00237
45. U.S. NO2 trends (2005–2013): EPA Air Quality System (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) L. Lamsal et al. https://doi.org/10.1016/j.atmosenv.2015.03.055
46. The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. https://doi.org/10.5194/acp-17-1511-2017
47. Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor A. Georgoulias et al. https://doi.org/10.1088/1748-9326/abc445
48. Inverse modelling of NOx emissions over eastern China: uncertainties due to chemical non-linearity D. Gu et al. https://doi.org/10.5194/amt-9-5193-2016
49. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer P. Monks et al. https://doi.org/10.5194/acp-15-8889-2015
50. Application of Satellite Observations and Air Quality Modelling to Validation of NOx Anthropogenic EMEP Emissions Inventory over Central Europe K. Szymankiewicz et al. https://doi.org/10.3390/atmos12111465
51. Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation Y. Zhu et al. https://doi.org/10.3390/rs13091798
52. Top-Down NOX Emissions of European Cities Based on the Downwind Plume of Modelled and Space-Borne Tropospheric NO2 Columns W. Verstraeten et al. https://doi.org/10.3390/s18092893
53. Modelling of ship engine exhaust emissions in ports and extensive coastal waters based on terrestrial AIS data – An Australian case study L. Goldsworthy & B. Goldsworthy https://doi.org/10.1016/j.envsoft.2014.09.009
54. Tropospheric carbon monoxide over the Pacific during HIPPO: two-way coupled simulation of GEOS-Chem and its multiple nested models Y. Yan et al. https://doi.org/10.5194/acp-14-12649-2014
55. Evaluating commercial marine emissions and their role in air quality policy using observations and the CMAQ model A. Ring et al. https://doi.org/10.1016/j.atmosenv.2017.10.037
56. Ship emissions in the decarbonization era: high-resolution inventories, atmospheric impacts, and air pollution–climate co-mitigation pathways R. Xie et al. https://doi.org/10.1016/j.aeaoa.2026.100510
57. Effects of daily meteorology on the interpretation of space-based remote sensing of NO2 J. Laughner et al. https://doi.org/10.5194/acp-16-15247-2016
58. Insights into transportation CO2 emissions with big data and artificial intelligence Z. Luo et al. https://doi.org/10.1016/j.patter.2025.101186
59. 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
60. Constraining long-term NOx emissions over the United States and Europe using nitrate wet deposition monitoring networks A. Christiansen et al. https://doi.org/10.5194/acp-24-4569-2024
61. 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
62. Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning S. Kurchaba et al. https://doi.org/10.1016/j.rse.2023.113761
63. Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system Y. Yan et al. https://doi.org/10.5194/acp-16-2381-2016
64. A top-down assessment using OMI NO2 suggests an underestimate in the NOx emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. https://doi.org/10.5194/acp-19-1801-2019
65. An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. https://doi.org/10.3390/rs12122004
66. Simulating the Spatiotemporal Variations of δ15N in Atmospheric NOx Using CMAQ to Assess the Role of Atmospheric Physical Processes over the Pearl River Delta Region, China F. Wang et al. https://doi.org/10.3390/atmos17080760
67. Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. https://doi.org/10.5194/amt-13-2523-2020
68. A high-resolution and observationally constrained OMI NO2 satellite retrieval D. Goldberg et al. https://doi.org/10.5194/acp-17-11403-2017
69. A decade of changes in nitrogen oxides over regions of oil and natural gas activity in the United States A. Majid et al. https://doi.org/10.1525/elementa.259
70. Spatial Distribution of Atmospheric Mercury Species in the Southern Ocean F. Yue et al. https://doi.org/10.1029/2021JD034651
71. Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. https://doi.org/10.5194/amt-14-455-2021
72. Using satellite‐based measurements to explore spatiotemporal scales and variability of drivers of new particle formation R. Sullivan et al. https://doi.org/10.1002/2016JD025568
73. The impact of shipping emissions on air pollution in the greater North Sea region – Part 1: Current emissions and concentrations A. Aulinger et al. https://doi.org/10.5194/acp-16-739-2016
74. Substantial nitrogen oxides emission reduction from China due to COVID-19 and its impact on surface ozone and aerosol pollution Q. Zhang et al. https://doi.org/10.1016/j.scitotenv.2020.142238
75. Aura OMI observations of regional SO2and NO2pollution changes from 2005 to 2015 N. Krotkov et al. https://doi.org/10.5194/acp-16-4605-2016
76. Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port S. Liu et al. https://doi.org/10.1093/pnasnexus/pgad391
77. 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