205 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. 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
7. 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
8. 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
9. On the potential of the ICOS atmospheric CO<sub>2</sub> measurement network for estimating the biogenic CO<sub>2</sub> budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
10. 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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12. Calibrating the CAMS European multi-model air quality forecasts for regional air pollution monitoring G. Casciaro et al. 10.1016/j.atmosenv.2022.119259
13. 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
14. Source apportionment of PM2.5 across China using LOTOS-EUROS R. Timmermans et al. 10.1016/j.atmosenv.2017.06.003
15. Emission ensemble approach to improve the development of multi-scale emission inventories P. Thunis et al. 10.5194/gmd-17-3631-2024
16. Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0 C. Keller et al. 10.1029/2020MS002413
17. 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
18. Regional scale air quality modelling system in India: issues, challenges and suggestive framework N. Shukla et al. 10.1007/s12517-023-11474-2
19. 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
20. Impact of lockdown measures to combat Covid-19 on air quality over western Europe L. Menut et al. 10.1016/j.scitotenv.2020.140426
21. Calibration of CAMS PM2.5 data over Hungary: a machine learning approach A. Qor-el-aine et al. 10.1088/2515-7620/ad6239
22. 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
23. 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
24. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
25. 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
26. 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
27. Ozone concentrations and damage for realistic future European climate and air quality scenarios C. Hendriks et al. 10.1016/j.atmosenv.2016.08.026
28. 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
29. 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
30. 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
31. Data assimilation of CrIS NH<sub>3</sub> satellite observations for improving spatiotemporal NH<sub>3</sub> distributions in LOTOS-EUROS S. van der Graaf et al. 10.5194/acp-22-951-2022
32. 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
33. Development and evolution of an anomalous Asian dust event across Europe in March 2020 L. Tositti et al. 10.5194/acp-22-4047-2022
34. 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
35. 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
36. 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
37. 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
38. Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting A. Murad et al. 10.3390/s21238009
39. Respiratory Health Effects of Wildfire Smoke during Summer of 2018 in the Jämtland Härjedalen Region, Sweden A. Tornevi et al. 10.3390/ijerph18136987
40. Chemical Weather and Chemical Climate G. Brasseur & R. Kumar 10.1029/2021AV000399
41. Forecasting hourly $${\hbox {NO}_{2}}$$ concentrations by ensembling neural networks and mesoscale models D. Valput et al. 10.1007/s00521-019-04442-z
42. 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
43. 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
44. Costs and benefits of implementing an Environmental Speed Limit in a Nordic city S. Lopez-Aparicio et al. 10.1016/j.scitotenv.2020.137577
45. 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
46. Perspective on Mechanism Development and Structure‐Activity Relationships for Gas‐Phase Atmospheric Chemistry L. Vereecken et al. 10.1002/kin.21172
47. 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
48. 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
49. 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
50. Historical reconstruction of background air pollution over France for 2000–2015 E. Real et al. 10.5194/essd-14-2419-2022
51. Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
52. Assessing the Robustness of Ozone Chemical Regimes to Chemistry-Transport Model Configurations E. Real et al. 10.3390/atmos15050532
53. Evaluation of PM Chemical Composition in Thessaloniki, Greece Based on Air Quality Simulations D. Tsiaousidis et al. 10.3390/su151310034
54. 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
55. Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data N. Siomos et al. 10.5194/acp-17-7003-2017
56. What caused a record high PM<sub>10</sub> episode in northern Europe in October 2020? C. Groot Zwaaftink et al. 10.5194/acp-22-3789-2022
57. 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
58. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
59. 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
60. Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
61. Improving Air Quality Predictions over the United States with an Analog Ensemble L. Delle Monache et al. 10.1175/WAF-D-19-0148.1
62. 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
63. 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
64. 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
65. Atlas of ozone chemical regimes in Europe E. Real et al. 10.1016/j.atmosenv.2023.120323
66. Insights from Explainable Artificial Intelligence of Pollution and Socioeconomic Influences for Respiratory Cancer Mortality in Italy D. Romano et al. 10.3390/jpm14040430
67. 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
68. Comparison of tropospheric NO<sub>2</sub> columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
69. 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
70. Modeling PM2.5 and PM10 Using a Robust Simplified Linear Regression Machine Learning Algorithm J. Gregório et al. 10.3390/atmos13081334
71. 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
72. Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron E. Chianese et al. 10.1016/j.ecoinf.2018.12.001
73. Black Carbon in Bulgaria—Observed and Modelled Concentrations in Two Cities for Two Months E. Hristova et al. 10.3390/atmos13020213
74. Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
75. 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
76. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
77. 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
78. 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
79. 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
80. 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
81. 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
82. Modelling and Observation of Mineral Dust Optical Properties over Central Europe M. Chilinski et al. 10.1515/acgeo-2016-0069
83. 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
84. 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
85. 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
86. Cleaner fuels for ships provide public health benefits with climate tradeoffs M. Sofiev et al. 10.1038/s41467-017-02774-9
87. 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
88. Basic Facts about Numerical Simulations of Atmospheric Composition in the City of Sofia V. Ivanov & I. Georgieva 10.3390/atmos12111450
89. 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
90. 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
91. The Fogees system for forecasting particulate matter concentrations in urban areas K. Brzozowski et al. 10.1016/j.envsoft.2024.106205
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93. Prediction of source contributions to urban background PM<sub>10</sub> 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
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96. A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
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98. MesSBAR—Multicopter and Instrumentation for Air Quality Research L. Bretschneider et al. 10.3390/atmos13040629
99. 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
100. CHIMBO Air Quality Modeling System: Verification and Processes Analysis T. Landi et al. 10.3390/atmos15111386
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106. The influence of residential wood combustion on the concentrations of PM<sub>2.5</sub> in four Nordic cities J. Kukkonen et al. 10.5194/acp-20-4333-2020
107. C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF V. Huijnen et al. 10.5194/gmd-9-3071-2016
108. 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
109. Estimating lockdown-induced European NO<sub>2</sub> changes using satellite and surface observations and air quality models J. Barré et al. 10.5194/acp-21-7373-2021
110. 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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114. Modeling study of the impact of SO<sub>2</sub> volcanic passive emissions on the tropospheric sulfur budget C. Lamotte et al. 10.5194/acp-21-11379-2021
115. Assessing the Impact of Local Policies on PM2.5 Concentration Levels: Application to 10 European Cities E. Pisoni et al. 10.3390/su14116384
116. 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
117. 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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119. 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
120. 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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122. 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
123. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. 10.1029/2020JD032554
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127. 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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130. What Can We Expect from Data Assimilation for Air Quality Forecast? Part I: Quantification with Academic Test Cases L. Menut & B. Bessagnet 10.1175/JTECH-D-18-0002.1
131. FUME 2.0 – Flexible Universal processor for Modeling Emissions M. Belda et al. 10.5194/gmd-17-3867-2024
132. Air Pollution and Climate Change Effects on Allergies in the Anthropocene: Abundance, Interaction, and Modification of Allergens and Adjuvants K. Reinmuth-Selzle et al. 10.1021/acs.est.6b04908
133. Assessment of isoprene and near-surface ozone sensitivities to water stress over the Euro-Mediterranean region S. Strada et al. 10.5194/acp-23-13301-2023
134. 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
135. Improving 3-day deterministic air pollution forecasts using machine learning algorithms Z. Zhang et al. 10.5194/acp-24-807-2024
136. Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. 10.1525/elementa.376
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139. Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. 10.1080/16000889.2020.1823733
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141. Modelling benzo(a)pyrene concentrations for different meteorological conditions – Analysis of lung cancer cases and associated economic costs P. Porwisiak et al. 10.1016/j.envint.2023.107863
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145. Intercomparison of Air Quality Models in a Megacity: Toward an Operational Ensemble Forecasting System for São Paulo A. Deroubaix et al. 10.1029/2022JD038179
146. Coupling traffic originated urban air pollution estimation with an atmospheric chemistry model A. Kovács et al. 10.1016/j.uclim.2021.100868
147. Time-Dependent Downscaling of PM2.5 Predictions from CAMS Air Quality Models to Urban Monitoring Sites in Budapest A. Varga-Balogh et al. 10.3390/atmos11060669
148. An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season S. Brands et al. 10.5194/gmd-13-3947-2020
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162. High Performance Computing Simulations of the Atmospheric Composition in Bulgaria and the City of Sofia I. Georgieva et al. 10.1515/cait-2017-0053
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164. Assessment of Low-Cost Particulate Matter Sensor Systems against Optical and Gravimetric Methods in a Field Co-Location in Norway M. Vogt et al. 10.3390/atmos12080961
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