134 citations as recorded by crossref.

1. Rapid increase in tropospheric ozone over Southeast Asia attributed to changes in precursor emission source regions and sectors S. Li et al. https://doi.org/10.1016/j.atmosenv.2023.119776
2. Estimating lightning NOx production over South Africa B. Maseko et al. https://doi.org/10.17159/sajs.2021/8035
3. 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
4. Tropospheric nitrogen dioxide levels vary diurnally in Asian cities J. Park et al. https://doi.org/10.1038/s43247-025-02272-7
5. Pollution Trends in China from 2000 to 2017: A Multi-Sensor View from Space J. Li https://doi.org/10.3390/rs12020208
6. Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. https://doi.org/10.3390/rs13132587
7. Drivers of the Changing Urban and Rural Surface Ozone Differences in China: Reducing Emissions or Warming Cities J. Zheng et al. https://doi.org/10.1021/acsestair.6c00009
8. Estimations of Long-Term nss-SO42– and NO3– Wet Depositions over East Asia by Use of Ensemble Machine-Learning Method X. Lu et al. https://doi.org/10.1021/acs.est.0c01068
9. Constraining industrial ammonia emissions using hyperspectral infrared imaging L. Noppen et al. https://doi.org/10.1016/j.rse.2023.113559
10. Trends in urban air pollution over the last two decades: A global perspective P. Sicard et al. https://doi.org/10.1016/j.scitotenv.2022.160064
11. Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
12. Stabilization for the secondary species contribution to PM2.5 in the Pearl River Delta (PRD) over the past decade, China: A meta-analysis F. Yan et al. https://doi.org/10.1016/j.atmosenv.2020.117817
13. Natural Aerosols, Gaseous Precursors and Their Impacts in Greece: A Review from the Remote Sensing Perspective V. Amiridis et al. https://doi.org/10.3390/atmos15070753
14. Quantifying Urban Nitrogen Dioxide Emission From Space Based on Cross-Sectional Flux Method and Satellite Data X. Ye et al. https://doi.org/10.1109/TGRS.2025.3544815
15. Tracking the path to cleaner cities using global urban NO2 monitoring from space A. Hassani et al. https://doi.org/10.1088/1748-9326/ae5e97
16. NO2 Retrieval from the Environmental Trace Gases Monitoring Instrument (EMI): Preliminary Results and Intercomparison with OMI and TROPOMI L. Cheng et al. https://doi.org/10.3390/rs11243017
17. Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. https://doi.org/10.5194/acp-22-16053-2022
18. Decreasing Trend in Formaldehyde Detected From 20‐Year Record at Wollongong, Southeast Australia K. Lieschke et al. https://doi.org/10.1029/2019GL083757
19. Assessment of the impact of NO2 contribution on aerosol-optical-depth measurements at several sites worldwide A. Masoom et al. https://doi.org/10.5194/amt-17-5525-2024
20. In situ ozone production is highly sensitive to volatile organic compounds in Delhi, India B. Nelson et al. https://doi.org/10.5194/acp-21-13609-2021
21. Atmospheric ammonia point source detection technique at regional scale using high resolution satellite imagery and deep learning M. Lei et al. https://doi.org/10.1016/j.atmosres.2021.105587
22. Spatiotemporal variability of tropospheric NO2 over four megacities in Southern Africa: Implications for transboundary regional air pollution N. Matandirotya & R. Burger https://doi.org/10.1016/j.envc.2021.100271
23. Comparison between economic growth and satellite-based measurements of NO2 pollution over northern Italy R. Bichler & M. Bittner https://doi.org/10.1016/j.atmosenv.2022.118948
24. Remarkable spring increase overwhelmed hard-earned autumn decrease in ozone pollution from 2005 to 2017 at a suburban site in Hong Kong, South China Y. Zeren et al. https://doi.org/10.1016/j.scitotenv.2022.154788
25. Spatio-temporal variations of aerosol optical depth over Ukraine under the Russia-Ukraine war D. Jiadan et al. https://doi.org/10.1016/j.atmosenv.2023.120114
26. Towards monitoring localized CO2 emissions from space: co-located regional CO2 and NO2 enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. https://doi.org/10.5194/acp-19-9371-2019
27. Global patterns and trends in ground-level ozone chemical formation regimes from 1996 to 2022 Y. Tian et al. https://doi.org/10.5194/acp-25-9127-2025
28. Editorial for the Special Issue “Remote Sensing of Atmospheric Components and Water Vapor” V. Cachorro & M. Antón https://doi.org/10.3390/rs12132074
29. Vegetation feedbacks during drought exacerbate ozone air pollution extremes in Europe M. Lin et al. https://doi.org/10.1038/s41558-020-0743-y
30. New Insights for Tracking Global and Local Trends in Exposure to Air Pollutants M. Wolf et al. https://doi.org/10.1021/acs.est.1c08080
31. Spatio-Temporal Variation of Ozone Concentrations and Ozone Uptake Conditions in Forests in Western Germany H. Eghdami et al. https://doi.org/10.3390/atmos11111261
32. Trend reversal from source region to remote tropospheric NO2 columns X. Cai et al. https://doi.org/10.1007/s11356-021-16857-0
33. Inequalities in Air Pollution Exposure and Attributable Mortality in a Low Carbon Future C. Reddington et al. https://doi.org/10.1029/2023EF003697
34. Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. https://doi.org/10.1016/j.apr.2022.101359
35. Estimation of daily NO2 with explainable machine learning model in China, 2007–2020 Y. Shao et al. https://doi.org/10.1016/j.atmosenv.2023.120111
36. TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. https://doi.org/10.1029/2020EF001665
37. Rapidly Changing Emissions Drove Substantial Surface and Tropospheric Ozone Increases Over Southeast Asia X. Wang et al. https://doi.org/10.1029/2022GL100223
38. 2023 Depremleri afet bölgesinde NO2 troposferik yoğunlukların mekânsal-zamansal sıcak noktaları D. Özçelik & M. Küçükönder https://doi.org/10.17211/tcd.1514632
39. Global mapping of city-level economic growth decoupling from fossil fuels A. Hassani et al. https://doi.org/10.1038/s44284-026-00440-0
40. Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al. https://doi.org/10.1021/acs.est.3c02111
41. COVID-19 lockdown-induced changes in NO2 levels across India observed by multi-satellite and surface observations A. Biswal et al. https://doi.org/10.5194/acp-21-5235-2021
42. Spatial Distributions of Atmospheric Ammonia in a Rural Area in South Korea and the Associated Impact on a Nearby Urban Area S. Oh et al. https://doi.org/10.3390/atmos12111411
43. NO2 Air Pollution Trends and Settlement Growth in Megacities T. Erbertseder et al. https://doi.org/10.1109/JSTARS.2024.3419573
44. Satellites capture socioeconomic disruptions during the 2022 full-scale war in Ukraine I. Ialongo et al. https://doi.org/10.1038/s41598-023-42118-w
45. Interannual and seasonal variability of NOx observed at the Mt. Cimone GAW/WMO global station (2165 m a.s.l., Italy) P. Cristofanelli et al. https://doi.org/10.1016/j.atmosenv.2021.118245
46. Early spring near-surface ozone in Europe during the COVID-19 shutdown: Meteorological effects outweigh emission changes C. Ordóñez et al. https://doi.org/10.1016/j.scitotenv.2020.141322
47. Analysis of long-term (2005–2018) trends in tropospheric NO2 percentiles over Northeast Asia G. Choo et al. https://doi.org/10.1016/j.apr.2020.05.012
48. Long-term trends in OMI-retrieved NO2 and SO2 concentrations over the Arabian Peninsula Y. Yarragunta et al. https://doi.org/10.1016/j.uclim.2025.102422
49. MIXv2: a long-term mosaic emission inventory for Asia (2010–2017) M. Li et al. https://doi.org/10.5194/acp-24-3925-2024
50. Frontiers of graphene and 2D material-based gas sensors for environmental monitoring D. Buckley et al. https://doi.org/10.1088/2053-1583/ab7bc5
51. Decoupling Emission Reductions and Trade-Offs of Policies in Norway Based on a Bottom-Up Traffic Emission Model H. Grythe et al. https://doi.org/10.3390/atmos13081284
52. Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. https://doi.org/10.5194/amt-13-6141-2020
53. Nitrogen dioxide decline and rebound observed by GOME-2 and TROPOMI during COVID-19 pandemic S. Liu et al. https://doi.org/10.1007/s11869-021-01046-2
54. Does the “Blue Sky Defense War Policy” Paint the Sky Blue?—A Case Study of Beijing–Tianjin–Hebei Region, China X. Yang et al. https://doi.org/10.3390/ijerph182312397
55. Tropospheric SO2 and NO2 in 2012–2018: Contrasting views of two sensors (OMI and OMPS) from space Y. Wang & J. Wang https://doi.org/10.1016/j.atmosenv.2019.117214
56. An assessment of NO2 atmospheric air pollution over three cities in South Africa during 2020 COVID-19 pandemic N. Matandirotya & R. Burger https://doi.org/10.1007/s11869-022-01271-3
57. Spatial Variation of NO2 and Its Impact Factors in China: An Application of Sentinel-5P Products Z. Zheng et al. https://doi.org/10.3390/rs11161939
58. Urban NO x emissions around the world declined faster than anticipated between 2005 and 2019 D. Goldberg et al. https://doi.org/10.1088/1748-9326/ac2c34
59. 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
60. Research on the diurnal variation characteristics of ozone formation sensitivity and the impact of ozone pollution control measures in “2 + 26” cities of Henan Province in summer M. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.164121
61. Spatio-temporal variations in NO2 and SO2 over Shanghai and Chongming Eco-Island measured by Ozone Monitoring Instrument (OMI) during 2008–2017 R. Xue et al. https://doi.org/10.1016/j.jclepro.2020.120563
62. Variability of nitrogen oxide emission fluxes and lifetimes estimated from Sentinel-5P TROPOMI observations K. Lange et al. https://doi.org/10.5194/acp-22-2745-2022
63. Winter AOD trend changes over the Eastern Mediterranean and Middle East region A. Shaheen et al. https://doi.org/10.1002/joc.7139
64. Spatio-temporal variability and canonical seasonal regimes of tropospheric NO2 across India’s non-attainment cities: Insights from TROPOMI, ERA5 meteorology, and trend sensitivity analysis D. Dutta https://doi.org/10.1016/j.jag.2026.105319
65. TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng https://doi.org/10.1021/acs.estlett.3c00386
66. Spatiotemporal dynamics of NO2 concentration with linear mixed models: A Bangladesh case study K. Islam et al. https://doi.org/10.1016/j.pce.2022.103119
67. Trend analysis and first time observations of sulphur dioxide and nitrogen dioxide in South Africa using TROPOMI/Sentinel-5 P data L. Shikwambana et al. https://doi.org/10.1016/j.jag.2020.102130
68. 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
69. Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations M. Mylonaki et al. https://doi.org/10.5194/acp-21-2211-2021
70. Long-term time series of Arctic tropospheric BrO derived from UV–VIS satellite remote sensing and its relation to first-year sea ice I. Bougoudis et al. https://doi.org/10.5194/acp-20-11869-2020
71. Changes in satellite retrievals of atmospheric composition over eastern China during the 2020 COVID-19 lockdowns R. Field et al. https://doi.org/10.5194/acp-21-18333-2021
72. A global gridded municipal water withdrawal estimation method using aggregated data and artificial neural network J. Yan & S. Jia https://doi.org/10.2166/wst.2022.399
73. Long-Term Variation in the Tropospheric Nitrogen Dioxide Vertical Column Density over Korea and Japan from the MAX-DOAS Network, 2007–2017 Y. Choi et al. https://doi.org/10.3390/rs13101937
74. Inferring Changes in Summertime Surface Ozone–NOx–VOC Chemistry over U.S. Urban Areas from Two Decades of Satellite and Ground-Based Observations X. Jin et al. https://doi.org/10.1021/acs.est.9b07785
75. Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems K. Debeire et al. https://doi.org/10.1017/eds.2025.10007
76. Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach X. Yan et al. https://doi.org/10.1016/j.envint.2021.106392
77. Spatio-temporal patterns of tropospheric NO2 over India during 2005–2019 N. Singh et al. https://doi.org/10.1016/j.apr.2023.101692
78. Four Decades of United States Mobile Source Pollutants: Spatial–Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites L. Henneman et al. https://doi.org/10.1021/acs.est.0c07128
79. Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. https://doi.org/10.3390/atmos11010101
80. MAX-DOAS measurements of NO2, SO2, HCHO, and BrO at the Mt. Waliguan WMO GAW global baseline station in the Tibetan Plateau J. Ma et al. https://doi.org/10.5194/acp-20-6973-2020
81. Trends of leading pollutant in a highly polluted global city: processes involved L. Radhadevi et al. https://doi.org/10.1007/s10661-025-14243-8
82. Global scaling of urban air quality M. Wurm et al. https://doi.org/10.1371/journal.pone.0333902
83. Rapid rise in premature mortality due to anthropogenic air pollution in fast-growing tropical cities from 2005 to 2018 K. Vohra et al. https://doi.org/10.1126/sciadv.abm4435
84. Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-25-6047-2025
85. Evaluating the influence of air pollution on solar radiation observations over the coastal region of Alicante (Southeastern Spain) I. Gómez et al. https://doi.org/10.1016/j.jes.2022.05.004
86. Remarkable Spring Increase Overwhelmed Hard-Earned Autumn Decrease in Ozone Pollution from 2005 to 2017 in Hong Kong, South China H. Guo et al. https://doi.org/10.2139/ssrn.3994604
87. High NO2 Concentrations Measured by Passive Samplers in Czech Cities: Unresolved Aftermath of Dieselgate? M. Vojtisek-Lom et al. https://doi.org/10.3390/atmos12050649
88. Estimations of the Ground-Level NO2 Concentrations Based on the Sentinel-5P NO2 Tropospheric Column Number Density Product P. Grzybowski et al. https://doi.org/10.3390/rs15020378
89. Building a bridge: characterizing major anthropogenic point sources in the South African Highveld region using OCO-3 carbon dioxide snapshot area maps and Sentinel-5P/TROPOMI nitrogen dioxide columns J. Hakkarainen et al. https://doi.org/10.1088/1748-9326/acb837
90. New Constraints on Isotopic Effects and Major Sources of Nitrate in Atmospheric Particulates by Combining δ15N and Δ17O Signatures W. Song et al. https://doi.org/10.1029/2020JD034168
91. Temporal Variability of Tropospheric NO2 over Cities in the United States, Western Europe and China from 2005 to 2022 Q. Zhang https://doi.org/10.1007/s11769-024-1454-5
92. Inferring near-surface ozone production regimes: Insights from using satellite retrievals over the contiguous US A. Singh et al. https://doi.org/10.1016/j.atmosenv.2025.121208
93. The Diel Cycle of NH3 Observed From the FY‐4A Geostationary Interferometric Infrared Sounder (GIIRS) L. Clarisse et al. https://doi.org/10.1029/2021GL093010
94. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. https://doi.org/10.1029/2020GL089269
95. Long-term trends in air quality in major cities in the UK and India: a view from space K. Vohra et al. https://doi.org/10.5194/acp-21-6275-2021
96. Long-term variations and trends of tropospheric and ground-level NO2 over typical coastal areas X. Tian et al. https://doi.org/10.1016/j.ecolind.2024.112163
97. Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. https://doi.org/10.5194/acp-22-12705-2022
98. Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. https://doi.org/10.1088/1748-9326/abc7df
99. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. https://doi.org/10.1038/s41586-021-04229-0
100. Premature mortality attributable to NO2 exposure in cities and the role of built environment: A global analysis J. Song et al. https://doi.org/10.1016/j.scitotenv.2023.161395
101. Impacts of industrial production and air quality by remote sensing on nitrogen dioxide concentration and related effects: An econometric approach R. Kurniawan et al. https://doi.org/10.1016/j.envpol.2023.122212
102. How effective are emission taxes in reducing air pollution? T. Erbertseder et al. https://doi.org/10.2139/ssrn.4353315
103. Changing tropospheric NO2 dynamics across Indian air pollution hotspots A. Biswal et al. https://doi.org/10.1016/j.envpol.2025.126160
104. Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta, China H. Wang et al. https://doi.org/10.1016/j.jes.2020.09.019
105. Inferring the anthropogenic NOx emission trend over the United States during 2003–2017 from satellite observations: was there a flattening of the emission trend after the Great Recession? J. Li & Y. Wang https://doi.org/10.5194/acp-19-15339-2019
106. Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets S. Anenberg et al. https://doi.org/10.1016/S2542-5196(21)00255-2
107. Improved global daily nitrogen dioxide concentrations from 2005 to 2023 derived using a deep learning approach J. Mu et al. https://doi.org/10.5194/essd-18-2999-2026
108. Tracking down global NH3 point sources with wind-adjusted superresolution L. Clarisse et al. https://doi.org/10.5194/amt-12-5457-2019
109. The Temporal–Spatial Characteristics of Column NO2 Concentration and Influence Factors in Xinjiang of Northwestern Arid Region in China Z. Yu & X. Li https://doi.org/10.3390/atmos13101533
110. Excess deaths associated with long-term exposure to ambient NO2 in China L. Qi et al. https://doi.org/10.1088/1748-9326/aca552
111. Improvement of Air Pollution in China Inferred from Changes between Satellite-Based and Measured Surface Solar Radiation Y. Wang et al. https://doi.org/10.3390/rs11242910
112. Estimating daily ground-level NO2 concentrations over China based on TROPOMI observations and machine learning approach S. Long et al. https://doi.org/10.1016/j.atmosenv.2022.119310
113. Downward trend of NO2 in the urban areas of Beijing-Tianjin-Hebei region from 2014 to 2020: Comparison of satellite retrievals, ground observations, and emission inventories J. Xu et al. https://doi.org/10.1016/j.atmosenv.2022.119531
114. Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China J. Chen et al. https://doi.org/10.1088/1748-9326/ac4ec0
115. How effective are emission taxes in reducing air pollution? A satellite-based case study for Spain T. Erbertseder et al. https://doi.org/10.1016/j.eap.2025.04.012
116. Quantifying COVID-19 enforced global changes in atmospheric pollutants using cloud computing based remote sensing M. Singh et al. https://doi.org/10.1016/j.rsase.2021.100489
117. The Spatial–Temporal Variation of Tropospheric NO2 over China during 2005 to 2018 C. Wang et al. https://doi.org/10.3390/atmos10080444
118. Estimation and Spatiotemporal Analysis of NO2 Pollution in East Asia During 2001–2016 M. Hu et al. https://doi.org/10.1029/2021JD035129
119. Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China D. Li et al. https://doi.org/10.1109/JSTARS.2021.3117396
120. Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic Y. Kanaya et al. https://doi.org/10.1038/s41598-021-02518-2
121. Analysis of the Anthropogenic and Biogenic NOx Emissions Over 2008–2017: Assessment of the Trends in the 30 Most Populated Urban Areas in Europe A. Fortems‐Cheiney et al. https://doi.org/10.1029/2020GL092206
122. Satellite evidence for changes in the NO2 weekly cycle over large cities T. Stavrakou et al. https://doi.org/10.1038/s41598-020-66891-0
123. Clustering time series analysis of tropospheric NO2 and AOD satellite data in global megacities: exploring patterns linked to energy-related variables M. Volke & L. González-Rodríguez https://doi.org/10.1016/j.cacint.2026.100377
124. Effect of changing NOx lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO2 columns over China V. Shah et al. https://doi.org/10.5194/acp-20-1483-2020
125. Narrowing Differences in Urban and Nonurban Surface Ozone in the Northern Hemisphere Over 1990–2020 H. Han et al. https://doi.org/10.1021/acs.estlett.3c00105
126. Tropospheric NO2: Anthropogenic Influence, Global Trends, Satellite Data, and Machine Learning Application V. Ojeda-Castillo et al. https://doi.org/10.3390/rs17010049
127. NO₂ Emission Estimation in Ho Chi Minh City, Vietnam Using Modeling and OMI Satellite Data V. Minh & L. Nguyen https://doi.org/10.1007/s00128-025-04144-4
128. Urban Emissions of Nitrogen Oxides, Carbon Monoxide, and Methane Determined from Ground-Based Measurements in Philadelphia D. Anderson et al. https://doi.org/10.1021/acs.est.1c00294
129. Analyzing nitrogen oxides to carbon dioxide emission ratios from space: A case study of Matimba Power Station in South Africa J. Hakkarainen et al. https://doi.org/10.1016/j.aeaoa.2021.100110
130. An Alternative Approach for Deriving Emission Inventories Solely From Satellite Data: Demonstration for NO2 Over China K. Kourtidis & A. Georgoulias https://doi.org/10.3389/fenvs.2019.00138
131. Emissions of nitrogen dioxide in the northeast U.S. during the 2020 COVID-19 lockdown S. Azad & M. Ghandehari https://doi.org/10.1016/j.jenvman.2022.114902
132. Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity H. Kim et al. https://doi.org/10.5194/acp-21-10065-2021
133. Remarkable Spring Increase Overwhelmed Hard-Earned Autumn Decrease in Ozone Pollution from 2005 to 2017 in Hong Kong, South China Y. Zeren et al. https://doi.org/10.2139/ssrn.3975616
134. Five Years of Spatially Resolved Ground-Based MAX-DOAS Measurements of Nitrogen Dioxide in the Urban Area of Athens: Synergies with In Situ Measurements and Model Simulations M. Gratsea et al. https://doi.org/10.3390/atmos12121634