216 citations as recorded by crossref.

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3. Halogen chemistry in volcanic plumes: a 1D framework based on MOCAGE 1D (version R1.18.1) preparing 3D global chemistry modelling V. Marécal et al. 10.5194/gmd-16-2873-2023
4. Using random forest to improve EMEP4PL model estimates of daily PM2.5 in Poland T. Vovk et al. 10.1016/j.atmosenv.2024.120615
5. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
6. Environmental sustainability of urban expansion: Implications for transport emissions, air pollution, and city growth S. Lopez-Aparicio et al. 10.1016/j.envint.2025.109310
7. Measures and Policies for Reducing PM Exceedances through the Use of Air Quality Modeling: The Case of Thessaloniki, Greece A. Progiou et al. 10.3390/su15020930
8. European NOx emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
9. Predicting daily concentrations of nitrogen dioxide, particulate matter and ozone at fine spatial scale in Great Britain W. Wang et al. 10.1016/j.apr.2022.101506
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11. Impact of SO2 Flux Estimation in the Modeling of the Plume of Mount Etna Christmas 2018 Eruption and Comparison against Multiple Satellite Sensors C. Lamotte et al. 10.3390/rs15030758
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13. Calibrating the CAMS European multi-model air quality forecasts for regional air pollution monitoring G. Casciaro et al. 10.1016/j.atmosenv.2022.119259
14. Meteorological Conditions During an Ozone Episode in Dallas‐Fort Worth, Texas, and Impact of Their Modeling Uncertainties on Air Quality Prediction X. Hu et al. 10.1029/2018JD029791
15. Source apportionment of PM2.5 across China using LOTOS-EUROS R. Timmermans et al. 10.1016/j.atmosenv.2017.06.003
16. Emission ensemble approach to improve the development of multi-scale emission inventories P. Thunis et al. 10.5194/gmd-17-3631-2024
17. Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
18. Air pollution situation in small towns, including winter resorts: a comparative study of three cases in Northern Europe T. Tammekivi et al. 10.1007/s11869-023-01315-2
19. Regional scale air quality modelling system in India: issues, challenges and suggestive framework N. Shukla et al. 10.1007/s12517-023-11474-2
20. Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0 E. Emili et al. 10.5194/gmd-9-3933-2016
21. Impact of lockdown measures to combat Covid-19 on air quality over western Europe L. Menut et al. 10.1016/j.scitotenv.2020.140426
22. Calibration of CAMS PM2.5 data over Hungary: a machine learning approach A. Qor-el-aine et al. 10.1088/2515-7620/ad6239
23. Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NO2 and PM2.5 Pollution in Urban Areas M. Ramacher & M. Karl 10.3390/ijerph17062099
24. Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method A. Riccio & E. Chianese 10.5194/acp-24-1673-2024
25. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
26. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-18-15515-2018
27. 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
28. Ozone concentrations and damage for realistic future European climate and air quality scenarios C. Hendriks et al. 10.1016/j.atmosenv.2016.08.026
29. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. 10.5194/acp-19-7019-2019
30. Assimilation of PM2.5 ground base observations to two chemical schemes in WRF-Chem – The results for the winter and summer period M. Werner et al. 10.1016/j.atmosenv.2018.12.016
31. Particulate matter (PM10) patterns in Europe: An exploratory data analysis using non-negative matrix factorization J. Žibert et al. 10.1016/j.atmosenv.2016.03.005
32. Influence of shipping activities on air and water quality in the Northern Adriatic Sea: A high-resolution modelling study L. Calgaro et al. 10.1016/j.marpolbul.2025.118102
33. Data assimilation of CrIS NH3 satellite observations for improving spatiotemporal NH3 distributions in LOTOS-EUROS S. van der Graaf et al. 10.5194/acp-22-951-2022
34. Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States C. Wu et al. 10.3390/rs12223813
35. Development and evolution of an anomalous Asian dust event across Europe in March 2020 L. Tositti et al. 10.5194/acp-22-4047-2022
36. Estimation of the error covariance matrix for IASI radiances and its impact on the assimilation of ozone in a chemistry transport model M. El Aabaribaoune et al. 10.5194/amt-14-2841-2021
37. Impacts of the COVID-19 lockdown on air pollution at regional and urban background sites in northern Italy J. Putaud et al. 10.5194/acp-21-7597-2021
38. Multi-year assimilation of IASI and MLS ozone retrievals: variability of tropospheric ozone over the tropics in response to ENSO H. Peiro et al. 10.5194/acp-18-6939-2018
39. Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013 J. Guth et al. 10.5194/acp-18-4911-2018
40. Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting A. Murad et al. 10.3390/s21238009
41. Respiratory Health Effects of Wildfire Smoke during Summer of 2018 in the Jämtland Härjedalen Region, Sweden A. Tornevi et al. 10.3390/ijerph18136987
42. Chemical Weather and Chemical Climate G. Brasseur & R. Kumar 10.1029/2021AV000399
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44. Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region C. Geels et al. 10.5194/acp-21-12495-2021
45. Anthropogenic Emission Scenarios over Europe with the WRF-CHIMERE-v2020 Models: Impact of Duration and Intensity of Reductions on Surface Concentrations during the Winter of 2015 A. Cholakian et al. 10.3390/atmos14020224
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47. Analysis of the day-to-day variability of ozone vertical profiles in the lower troposphere during the 2022 Paris ACROSS campaign G. Ancellet et al. 10.5194/acp-24-12963-2024
48. Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX) L. Menut et al. 10.5194/acp-15-7897-2015
49. Evaluation of traffic control measures in Oslo region and its effect on current air quality policies in Norway G. Sousa Santos et al. 10.1016/j.tranpol.2020.08.025
50. Perspective on Mechanism Development and Structure‐Activity Relationships for Gas‐Phase Atmospheric Chemistry L. Vereecken et al. 10.1002/kin.21172
51. Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland M. Werner et al. 10.3390/rs11202364
52. The urban dispersion model EPISODE v10.0 – Part 1: An Eulerian and sub-grid-scale air quality model and its application in Nordic winter conditions P. Hamer et al. 10.5194/gmd-13-4323-2020
53. Modelling ultrafine particle number concentrations at address resolution in Denmark from 1979-2018 – Part 1: Regional and urban scale modelling and evaluation L. Frohn et al. 10.1016/j.atmosenv.2021.118631
54. Historical reconstruction of background air pollution over France for 2000–2015 E. Real et al. 10.5194/essd-14-2419-2022
55. Ozone and aerosol tropospheric concentrations variability analyzed using the ADRIMED measurements and the WRF and CHIMERE models L. Menut et al. 10.5194/acp-15-6159-2015
56. Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
57. Assessing the Robustness of Ozone Chemical Regimes to Chemistry-Transport Model Configurations E. Real et al. 10.3390/atmos15050532
58. Evaluation of PM Chemical Composition in Thessaloniki, Greece Based on Air Quality Simulations D. Tsiaousidis et al. 10.3390/su151310034
59. Daily high-resolution surface PM2.5 estimation over Europe by ML-based downscaling of the CAMS regional forecast S. Shetty et al. 10.1016/j.envres.2024.120363
60. Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data N. Siomos et al. 10.5194/acp-17-7003-2017
61. What caused a record high PM10 episode in northern Europe in October 2020? C. Groot Zwaaftink et al. 10.5194/acp-22-3789-2022
62. On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
63. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
64. The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes P. Hamer et al. 10.5194/acp-15-10645-2015
65. Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
66. Improving Air Quality Predictions over the United States with an Analog Ensemble L. Delle Monache et al. 10.1175/WAF-D-19-0148.1
67. High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam B. Mijling 10.5194/amt-13-4601-2020
68. Differential impact of government lockdown policies on reducing air pollution levels and related mortality in Europe R. Schneider et al. 10.1038/s41598-021-04277-6
69. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1) V. Huijnen et al. 10.5194/gmd-12-1725-2019
70. Atlas of ozone chemical regimes in Europe E. Real et al. 10.1016/j.atmosenv.2023.120323
71. Insights from Explainable Artificial Intelligence of Pollution and Socioeconomic Influences for Respiratory Cancer Mortality in Italy D. Romano et al. 10.3390/jpm14040430
72. Assessment of the contribution of the Meteosat Third Generation Infrared Sounder (MTG-IRS) for the characterisation of ozone over Europe F. Vittorioso et al. 10.5194/amt-17-5279-2024
73. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
74. Ozone pollution during the COVID-19 lockdown in the spring of 2020 over Europe, analysed from satellite observations, in situ measurements, and models J. Cuesta et al. 10.5194/acp-22-4471-2022
75. Modeling PM2.5 and PM10 Using a Robust Simplified Linear Regression Machine Learning Algorithm J. Gregório et al. 10.3390/atmos13081334
76. Investigating the Sensitivity of Modelled Ozone Levels in the Mediterranean to Dry Deposition Parameters A. Barreirinha et al. 10.3390/atmos16050620
77. Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns M. Guevara et al. 10.5194/acp-21-773-2021
78. Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron E. Chianese et al. 10.1016/j.ecoinf.2018.12.001
79. Black Carbon in Bulgaria—Observed and Modelled Concentrations in Two Cities for Two Months E. Hristova et al. 10.3390/atmos13020213
80. Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
81. Monthly average air pollution models using geographically weighted regression in Europe from 2000 to 2019 Y. Shen et al. 10.1016/j.scitotenv.2024.170550
82. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
83. Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemistry-transport model using Cloud-J v7.3e W. van Caspel et al. 10.5194/gmd-16-7433-2023
84. 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. 10.5194/amt-16-5287-2023
85. Spatiotemporal modeling of long-term PM2.5 concentrations and population exposure in Greece, using machine learning and statistical methods A. Kakouri et al. 10.1016/j.scitotenv.2024.178113
86. What can we learn about urban air quality with regard to the first outbreak of the COVID-19 pandemic? A case study from central Europe I. Salma et al. 10.5194/acp-20-15725-2020
87. Air Control Toolbox (ACT_v1.0): a flexible surrogate model to explore mitigation scenarios in air quality forecasts A. Colette et al. 10.5194/gmd-15-1441-2022
88. Error induced by neglecting subgrid chemical segregation due to inefficient turbulent mixing in regional chemical-transport models in urban environments C. Li et al. 10.5194/acp-21-483-2021
89. Modelling and Observation of Mineral Dust Optical Properties over Central Europe M. Chilinski et al. 10.1515/acgeo-2016-0069
90. Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System E. Siouti et al. 10.3390/atmos15010008
91. Inline coupling of simple and complex chemistry modules within the global weather forecast model FIM (FIM-Chem v1) L. Zhang et al. 10.5194/gmd-15-467-2022
92. On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. 10.1016/j.atmosenv.2024.120601
93. Cleaner fuels for ships provide public health benefits with climate tradeoffs M. Sofiev et al. 10.1038/s41467-017-02774-9
94. Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017 M. Adani et al. 10.1016/j.apr.2022.101456
95. Basic Facts about Numerical Simulations of Atmospheric Composition in the City of Sofia V. Ivanov & I. Georgieva 10.3390/atmos12111450
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97. A demonstration project of Global Alliance against Chronic Respiratory Diseases: Prediction of interactions between air pollution and allergen exposure—the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach M. Sofiev et al. 10.1097/CM9.0000000000000916
98. First implementation of secondary inorganic aerosols in the MOCAGE version R2.15.0 chemistry transport model J. Guth et al. 10.5194/gmd-9-137-2016
99. The Fogees system for forecasting particulate matter concentrations in urban areas K. Brzozowski et al. 10.1016/j.envsoft.2024.106205
100. A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe L. Vitali et al. 10.5194/gmd-16-6029-2023
101. Prediction of source contributions to urban background PM10 concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions M. Pommier et al. 10.5194/gmd-13-1787-2020
102. Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data I. Kioutsioukis et al. 10.5194/acp-16-15629-2016
103. Evaluation of modelled LOTOS-EUROS with observational based PM10 source attribution R. Timmermans et al. 10.1016/j.aeaoa.2022.100173
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108. A regional modelling study of halogen chemistry within a volcanic plume of Mt Etna's Christmas 2018 eruption H. Narivelo et al. 10.5194/acp-23-10533-2023
109. CHIMBO Air Quality Modeling System: Verification and Processes Analysis T. Landi et al. 10.3390/atmos15111386
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115. The influence of residential wood combustion on the concentrations of PM2.5 in four Nordic cities J. Kukkonen et al. 10.5194/acp-20-4333-2020
116. Nitrogen Dioxide Source Attribution for Urban and Regional Background Locations Across Germany J. Pültz et al. 10.3390/atmos16030312
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118. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. 10.5194/acp-17-14987-2017
119. Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models J. Barré et al. 10.5194/acp-21-7373-2021
120. Source attribution of nitrogen oxides across Germany: Comparing the labelling approach and brute force technique with LOTOS-EUROS M. Thürkow et al. 10.1016/j.atmosenv.2022.119412
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124. Modeling study of the impact of SO2 volcanic passive emissions on the tropospheric sulfur budget C. Lamotte et al. 10.5194/acp-21-11379-2021
125. Assessing the Impact of Local Policies on PM2.5 Concentration Levels: Application to 10 European Cities E. Pisoni et al. 10.3390/su14116384
126. The effect of current and future maternal exposure to near-surface ozone on preterm birth in 30 European countries—an EU-wide health impact assessment J. Ekland et al. 10.1088/1748-9326/abe6c4
127. Development of the Global to Mesoscale Air Quality Forecast and Analysis System (GMAF) and Its Application to PM2.5 Forecast in Korea S. Cho et al. 10.3390/atmos12030411
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129. Potential of multispectral synergism for observing ozone pollution by combining IASI-NG and UVNS measurements from the EPS-SG satellite L. Costantino et al. 10.5194/amt-10-1281-2017
130. Temperature and particulate matter as environmental factors associated with seasonality of influenza incidence – an approach using Earth observation-based modeling in a health insurance cohort study from Baden-Württemberg (Germany) J. Rittweger et al. 10.1186/s12940-022-00927-y
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132. The MetVed model: development and evaluation of emissions from residential wood combustion at high spatio-temporal resolution in Norway H. Grythe et al. 10.5194/acp-19-10217-2019
133. Long-term reanalysis, future scenarios and impacts of nitrogen deposition on northern European ecosystems including the Baltic Sea and the Scandinavian Mountains C. Andersson et al. 10.1016/j.scitotenv.2025.179083
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138. The potential impact of biogenic volatile organic compounds (BVOCs) from terrestrial vegetation on a Mediterranean area using two different emission models P. Ciccioli et al. 10.1016/j.agrformet.2022.109255
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145. Quantifying the impacts of the COVID-19 pandemic lockdown and the armed conflict with Russia on Sentinel 5P TROPOMI NO 2 changes in Ukraine A. Phan & H. Fukui 10.1080/20964471.2023.2265105
146. Improving 3-day deterministic air pollution forecasts using machine learning algorithms Z. Zhang et al. 10.5194/acp-24-807-2024
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156. Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo A. Deroubaix et al. 10.1029/2022JD038179
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162. The On-Line Integrated Mesoscale Chemistry Model BOLCHEM R. Cesari et al. 10.3390/atmos12020192
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