369 citations as recorded by crossref.

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2. Representation of chemistry transport models simulations using knowledge graphs E. Illueca Fernández et al. https://doi.org/10.1186/s13321-025-01025-0
3. Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild https://doi.org/10.5194/gmd-14-5373-2021
4. Long-term exposure to nitrogen dioxide air pollution and breast cancer risk: A nested case-control within the French E3N cohort study A. Amadou et al. https://doi.org/10.1016/j.envpol.2022.120719
5. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
6. A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. https://doi.org/10.5194/acp-20-13557-2020
7. Role of the boundary layer dynamics effects on an extreme air pollution event in Paris J. Dupont et al. https://doi.org/10.1016/j.atmosenv.2016.06.061
8. Application of the Monte-Carlo Method to the Description of the Dynamics of the Spread of Salvo Pollution Complicated by Adsorption S. Travin https://doi.org/10.19261/cjm.2021.920
9. Ambient air pollution and thyroid function in Spanish adults. A nationwide population-based study (Di@bet.es study) S. Valdés et al. https://doi.org/10.1186/s12940-022-00889-1
10. A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. https://doi.org/10.1080/16000889.2021.1914989
11. Breast Cancer Risk in Association with Atmospheric Pollution Exposure: A Meta-Analysis of Effect Estimates Followed by a Health Impact Assessment S. Gabet et al. https://doi.org/10.1289/EHP8419
12. How a European network may help with estimating methane emissions on the French national scale I. Pison et al. https://doi.org/10.5194/acp-18-3779-2018
13. Cleaning up the air: effectiveness of air quality policy for SO2 and NOx emissions in China R. van der A et al. https://doi.org/10.5194/acp-17-1775-2017
14. Sensitivity of meteorological input and soil properties in simulating aerosols (dust, PM10, and BC) using CHIMERE chemistry transport model N. Srivastava et al. https://doi.org/10.1007/s12040-014-0466-4
15. Implementation of Aerosol-Cloud Interaction within WRF-CHIMERE Online Coupled Model: Evaluation and Investigation of the Indirect Radiative Effect from Anthropogenic Emission Reduction on the Benelux Union P. Tuccella et al. https://doi.org/10.3390/atmos10010020
16. Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond https://doi.org/10.1016/j.atmosenv.2021.118832
17. Air pollution modeling and exposure assessment during pregnancy in the French Longitudinal Study of Children (ELFE) E. Riviere et al. https://doi.org/10.1016/j.atmosenv.2019.02.032
18. Updated SO2 emission estimates over China using OMI/Aura observations M. Koukouli et al. https://doi.org/10.5194/amt-11-1817-2018
19. Does prenatal exposure to multiple airborne and tap-water pollutants increase neonatal thyroid-stimulating hormone concentrations? Data from the Picardy region, France S. Chamot et al. https://doi.org/10.1016/j.scitotenv.2023.167089
20. CHIMBO Air Quality Modeling System: Verification and Processes Analysis T. Landi et al. https://doi.org/10.3390/atmos15111386
21. Metrics of ozone risk assessment for Southern European forests: Canopy moisture content as a potential plant response indicator A. De Marco et al. https://doi.org/10.1016/j.atmosenv.2015.08.071
22. Retrospective Modeling of NO2 and PM10 Concentrations over the Lyon Metropolitan Area (France), 1990–2010—Performance Evaluation, Exposure Assessment and Correlation between Pollutants T. Coudon et al. https://doi.org/10.3390/atmos12020239
23. An epidemiological assessment of stomatal ozone flux-based critical levels for visible ozone injury in Southern European forests P. Sicard et al. https://doi.org/10.1016/j.scitotenv.2015.09.113
24. Application of uncertainty and sensitivity analysis to the air quality SHERPA modelling tool E. Pisoni et al. https://doi.org/10.1016/j.atmosenv.2018.04.006
25. Does working from home pollute? The environmental effects of WFH S. Briole & E. Lavaine https://doi.org/10.1016/j.euroecorev.2026.105266
26. NOx emission estimates during the 2014 Youth Olympic Games in Nanjing J. Ding et al. https://doi.org/10.5194/acp-15-9399-2015
27. Smart sampling and incremental function learning for very large high dimensional data D. Loyola R et al. https://doi.org/10.1016/j.neunet.2015.09.001
28. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. https://doi.org/10.5194/gmd-8-2777-2015
29. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. https://doi.org/10.5194/acp-17-8371-2017
30. Intercomparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1–CMAQ v5.3.1, WRF–Chem v4.1.1, and WRF v3.7.1–CHIMERE v2020r1) in eastern China C. Gao et al. https://doi.org/10.5194/gmd-17-2471-2024
31. Impact of the New South Wales fires during October 2013 on regional air quality in eastern Australia G. Rea et al. https://doi.org/10.1016/j.atmosenv.2016.01.034
32. The role of plant phenology in stomatal ozone flux modeling A. Anav et al. https://doi.org/10.1111/gcb.13823
33. APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016 S. Turquety et al. https://doi.org/10.5194/gmd-13-2981-2020
34. Exploring urban planning as a lever for emission and exposure control: Analysis of master plan actions over greater Paris A. Elessa Etuman et al. https://doi.org/10.1016/j.aeaoa.2024.100250
35. Factors influencing the foliar elemental composition and stoichiometry in forest trees in Spain J. Sardans et al. https://doi.org/10.1016/j.ppees.2016.01.001
36. First Implementation of the WRF-CHIMERE-EDGAR Modeling System Over Argentina M. Ferreyra et al. https://doi.org/10.1109/JSTARS.2016.2588502
37. Desert dust contribution to PM10 loads in Italy: Methods and recommendations addressing the relevant European Commission Guidelines in support to the Air Quality Directive 2008/50 F. Barnaba et al. https://doi.org/10.1016/j.atmosenv.2017.04.038
38. Characterizing the regional concentrations and seasonality of the emerging pollutant decamethylcyclopentasiloxane (D5) using a WRF+CHIMERE modeling approach P. Jiménez-Guerrero & N. Ratola https://doi.org/10.1525/elementa.2020.00137
39. Probing into the aging dynamics of biomass burning aerosol by using satellite measurements of aerosol optical depth and carbon monoxide I. Konovalov et al. https://doi.org/10.5194/acp-17-4513-2017
40. Exposure of the population of southern France to air pollutants in future climate case studies A. Cholakian et al. https://doi.org/10.1016/j.atmosenv.2021.118689
41. Comparison of spatial patterns of ammonia concentration and dry deposition flux between a regional Eulerian chemistry-transport model and a local Gaussian plume model N. Azouz et al. https://doi.org/10.1007/s11869-019-00691-y
42. Detection and emission estimates of NOx sources over China North Plain using OMI observations J. Zhang et al. https://doi.org/10.1080/01431161.2018.1430402
43. Benzo(a)pyrene in Europe: Ambient air concentrations, population exposure and health effects C. Guerreiro et al. https://doi.org/10.1016/j.envpol.2016.04.081
44. The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
45. Characterising an intense PM pollution episode in March 2015 in France from multi-site approach and near real time data: Climatology, variabilities, geographical origins and model evaluation J. Petit et al. https://doi.org/10.1016/j.atmosenv.2017.02.012
46. Urban aerosol assessment and forecast: Coimbra case study O. Tchepel et al. https://doi.org/10.1016/j.apr.2020.04.006
47. Robustness of PM2.5 Source Allocation to Meteorological Variability—Evidence from 150 European Cities A. Rey-Pommier et al. https://doi.org/10.3390/atmos17070641
48. Machine Education Approach for Generating Accurate NO2 and PM2.5 Pollution Maps in Israel A. Geltman et al. https://doi.org/10.1021/acsestair.4c00178
49. High Spatial Resolution Assessment of the Effect of the Spanish National Air Pollution Control Programme on Street-Level NO2 Concentrations in Three Neighborhoods of Madrid (Spain) Using Mesoscale and CFD Modelling J. Santiago et al. https://doi.org/10.3390/atmos13020248
50. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. https://doi.org/10.5194/acp-17-3001-2017
51. The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. https://doi.org/10.5194/acp-20-12063-2020
52. 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. https://doi.org/10.5194/acp-22-4471-2022
53. Particulate matter air pollution in Europe in a +2 °C warming world G. Lacressonnière et al. https://doi.org/10.1016/j.atmosenv.2017.01.037
54. Simulation of organic aerosol, its precursors, and related oxidants in the Landes pine forest in southwestern France: accounting for domain-specific land use and physical conditions A. Cholakian et al. https://doi.org/10.5194/acp-23-3679-2023
55. Effects of Air Pollution Exposure and the MUC5B rs35705950 Variant on Interstitial Lung Disease Risk in Patients With Rheumatoid Arthritis L. Sesé et al. https://doi.org/10.1002/resp.70181
56. Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations R. Wang et al. https://doi.org/10.1002/2015JD024326
57. Five-year volume growth of European beech does not respond to ozone pollution in Italy E. Paoletti et al. https://doi.org/10.1007/s11356-017-9264-2
58. High-resolution air quality modeling: Sensitivity tests to horizontal resolution and urban canopy with WRF-CHIMERE S. Falasca & G. Curci https://doi.org/10.1016/j.atmosenv.2018.05.048
59. Investigating the contribution of sea salt to PM10 concentration values on the coast of Portugal A. Carvalho et al. https://doi.org/10.1007/s11869-021-01049-z
60. Modelling PM2.5 impact indicators in Europe: Health effects and legal compliance G. Kiesewetter et al. https://doi.org/10.1016/j.envsoft.2015.02.022
61. Improving volcanic sulfur dioxide cloud dispersal forecasts by progressive assimilation of satellite observations M. Boichu et al. https://doi.org/10.1002/2014GL059496
62. New strategies for vertical transport in chemistry transport models: application to the case of the Mount Etna eruption on 18 March 2012 with CHIMERE v2017r4 M. Lachatre et al. https://doi.org/10.5194/gmd-13-5707-2020
63. Air Quality over China G. de Leeuw et al. https://doi.org/10.3390/rs13173542
64. Development of an inorganic and organic aerosol model (CHIMERE 2017β v1.0): seasonal and spatial evaluation over Europe F. Couvidat et al. https://doi.org/10.5194/gmd-11-165-2018
65. The first 1-year-long estimate of the Paris region fossil fuel CO2 emissions based on atmospheric inversion J. Staufer et al. https://doi.org/10.5194/acp-16-14703-2016
66. Pathways for wintertime deposition of anthropogenic light-absorbing particles on the Central Andes cryosphere R. Lapere et al. https://doi.org/10.1016/j.envpol.2020.115901
67. Analyzing the increasing importance of nitrate in Taiwan from long-term trend of measurements M. Chuang et al. https://doi.org/10.1016/j.atmosenv.2021.118749
68. Estimation of the Paris NOx emissions from mobile MAX-DOAS observations and CHIMERE model simulations during the MEGAPOLI campaign using the closed integral method R. Shaiganfar et al. https://doi.org/10.5194/acp-17-7853-2017
69. Trends of inorganic and organic aerosols and precursor gases in Europe: insights from the EURODELTA multi-model experiment over the 1990–2010 period G. Ciarelli et al. https://doi.org/10.5194/gmd-12-4923-2019
70. A local- to national-scale inverse modeling system to assess the potential of spaceborne CO2 measurements for the monitoring of anthropogenic emissions D. Santaren et al. https://doi.org/10.5194/amt-14-403-2021
71. Long-Term Effect of Outdoor Air Pollution on Mortality and Morbidity: A 12-Year Follow-Up Study for Metropolitan France S. Sanyal et al. https://doi.org/10.3390/ijerph15112487
72. Presentation of the EURODELTA III intercomparison exercise – evaluation of the chemistry transport models' performance on criteria pollutants and joint analysis with meteorology B. Bessagnet et al. https://doi.org/10.5194/acp-16-12667-2016
73. Photo-chemical transport modelling of tropospheric ozone: A review S. Sharma et al. https://doi.org/10.1016/j.atmosenv.2017.03.047
74. Joint analysis of deposition fluxes and atmospheric concentrations of inorganic nitrogen and sulphur compounds predicted by six chemistry transport models in the frame of the EURODELTAIII project M. Vivanco et al. https://doi.org/10.1016/j.atmosenv.2016.11.042
75. Evaluation of modeling NO2 concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. https://doi.org/10.5194/acp-18-4171-2018
76. Can further mitigation of ammonia emissions reduce exceedances of particulate matter air quality standards? B. Bessagnet et al. https://doi.org/10.1016/j.envsci.2014.07.011
77. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens https://doi.org/10.1021/cr5005887
78. Model Analysis of Origination of Semidirect Radiative Effect of Siberian Biomass Burning Aerosol in the Arctic I. Konovalov & N. Golovushkin https://doi.org/10.1134/S1024856024700477
79. Meteorological export and deposition fluxes of black carbon on glaciers of the central Chilean Andes R. Lapere et al. https://doi.org/10.5194/acp-23-1749-2023
80. Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study F. Simões et al. https://doi.org/10.1038/s41598-022-05827-2
81. Explainable based approach for the air quality classification on the granular computing rule extraction technique I. Jairi et al. https://doi.org/10.1016/j.engappai.2024.108096
82. Simulation of aerosol deposition flux over the Arabian Peninsula with CHIMERE-2017: Sensitivity to different dry deposition schemes S. Beegum et al. https://doi.org/10.1016/j.atmosres.2020.104949
83. Climate-forced air-quality modeling at the urban scale: sensitivity to model resolution, emissions and meteorology K. Markakis et al. https://doi.org/10.5194/acp-15-7703-2015
84. Spatial Representativeness Error in the Ground‐Level Observation Networks for Black Carbon Radiation Absorption R. Wang et al. https://doi.org/10.1002/2017GL076817
85. Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate δ13C(CH4) and CH4: a case study with model LMDz-SACS J. Thanwerdas et al. https://doi.org/10.5194/gmd-15-4831-2022
86. Towards air quality modeling in Agadir City (Morocco) A. Ajdour et al. https://doi.org/10.1016/j.matpr.2019.07.438
87. Role of ecosystem-atmosphere exchanges of semi-volatile organic compounds in organic aerosol formation F. Couvidat & B. Bessagnet https://doi.org/10.1016/j.atmosenv.2021.118541
88. Investigating the role of anthropogenic terpenoids in urban secondary pollution under summer conditions by a box modeling approach M. Farhat et al. https://doi.org/10.1039/D4EA00112E
89. Representing improved tropospheric ozone distribution over the Northern Hemisphere by including lightning NOx emissions in CHIMERE S. Ghosh et al. https://doi.org/10.5194/acp-25-6273-2025
90. The role of vertical grid resolution and turbulent diffusion uncertainty on chemical transport modeling L. Jiang et al. https://doi.org/10.1016/j.atmosres.2024.107759
91. Nitrogen deposition in Spain: Modeled patterns and threatened habitats within the Natura 2000 network H. García-Gómez et al. https://doi.org/10.1016/j.scitotenv.2014.03.112
92. Nonlinear behavior of organic aerosol in biomass burning plumes: a microphysical model analysis I. Konovalov et al. https://doi.org/10.5194/acp-19-12091-2019
93. Lower tropospheric ozone over the North China Plain: variability and trends revealed by IASI satellite observations for 2008–2016 G. Dufour et al. https://doi.org/10.5194/acp-18-16439-2018
94. Source contributions to 2012 summertime aerosols in the Euro-Mediterranean region G. Rea et al. https://doi.org/10.5194/acp-15-8013-2015
95. Parameterization of convective transport in the boundary layer and its impact on the representation of the diurnal cycle of wind and dust emissions F. Hourdin et al. https://doi.org/10.5194/acp-15-6775-2015
96. Toward Emulating an Explicit Organic Chemistry Mechanism With Random Forest Models C. Mouchel‐Vallon & A. Hodzic https://doi.org/10.1029/2022JD038227
97. Air Control Toolbox (ACT_v1.0): a flexible surrogate model to explore mitigation scenarios in air quality forecasts A. Colette et al. https://doi.org/10.5194/gmd-15-1441-2022
98. Modelling Hourly Particulate Matter (PM10) Concentrations at High Spatial Resolution in Germany Using Land Use Regression and Open Data S. Wallek et al. https://doi.org/10.3390/atmos13081282
99. Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France D. Joly et al. https://doi.org/10.1007/s00704-020-03418-7
100. Comparative evaluation of CHIMERE and ENSEMBLE model estimates versus in-situ measurements of particulate matter in the Iasi urban area, Romania L. Dragoi (Oniu) et al. https://doi.org/10.47743/pesd2026201023
101. Potential impact of shipping on air pollution in the Mediterranean region – a multimodel evaluation: comparison of photooxidants NO2 and O3 L. Fink et al. https://doi.org/10.5194/acp-23-1825-2023
102. Integrated air quality modeling for urban policy: A novel approach with olympus-chimere A. Elessa Etuman & I. Coll https://doi.org/10.1016/j.atmosenv.2023.120134
103. Cytokine profiles in cord blood in relation to prenatal traffic‐related air pollution: The NELA cohort A. García‐Serna et al. https://doi.org/10.1111/pai.13732
104. 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
105. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model A. Manders et al. https://doi.org/10.5194/gmd-10-4145-2017
106. Is the ozone climate penalty robust in Europe? A. Colette et al. https://doi.org/10.1088/1748-9326/10/8/084015
107. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. https://doi.org/10.5194/gmd-16-509-2023
108. A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. https://doi.org/10.5194/acp-23-10163-2023
109. MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe M. Sofiev et al. https://doi.org/10.5194/acp-15-8115-2015
110. Improvement of local ozone phytotoxicity modelling for autochthonous grape cultivars D. Blanco-Ward et al. https://doi.org/10.1016/j.atmosenv.2022.119538
111. Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model B. Gaubert et al. https://doi.org/10.5194/gmd-7-283-2014
112. Effects of climate change and seed dispersal on airborne ragweed pollen loads in Europe L. Hamaoui-Laguel et al. https://doi.org/10.1038/nclimate2652
113. Impact of environmental exposures on exhaled breath and lung function: NELA Birth Cohort R. Sola-Martínez et al. https://doi.org/10.1183/23120541.00597-2024
114. Changes in spatial patterns of ammonia dry deposition flux and deposition threshold exceedance according to dispersion model formalism and horizontal resolution N. Azouz et al. https://doi.org/10.1016/j.envpol.2020.115823
115. Association between air pollution levels and drug sales for asthma and allergy in 63 million people in metropolitan France M. El Homsi et al. https://doi.org/10.1080/02770903.2022.2144348
116. Are Grimmia Mosses Good Biomonitors for Urban Atmospheric Metallic Pollution? Preliminary Evidence from a French Case Study on Cadmium B. Vieille et al. https://doi.org/10.3390/atmos12040491
117. Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. https://doi.org/10.5194/acp-24-10583-2024
118. Megacity emission plume characteristics in summer and winter investigated by mobile aerosol and trace gas measurements: the Paris metropolitan area S. von der Weiden-Reinmüller et al. https://doi.org/10.5194/acp-14-12931-2014
119. European atmosphere in 2050, a regional air quality and climate perspective under CMIP5 scenarios A. Colette et al. https://doi.org/10.5194/acp-13-7451-2013
120. 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
121. Frontiers in air quality modelling A. Colette et al. https://doi.org/10.5194/gmd-7-203-2014
122. Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. https://doi.org/10.1021/acsestair.4c00072
123. Evaluation of the high resolution WRF-Chem (v3.4.1) air quality forecast and its comparison with statistical ozone predictions R. Žabkar et al. https://doi.org/10.5194/gmd-8-2119-2015
124. A statistical physics approach to perform fast highly-resolved air quality simulations – A new step towards the meta-modelling of chemistry transport models B. Bessagnet et al. https://doi.org/10.1016/j.envsoft.2019.02.017
125. Comparison of Methodologies for Assessing Desert Dust Contribution to Regional PM10 and PM2.5 Levels: A One-Year Study Over Portugal C. Gama et al. https://doi.org/10.3390/atmos11020134
126. Sensitivity of stomatal conductance to soil moisture: implications for tropospheric ozone A. Anav et al. https://doi.org/10.5194/acp-18-5747-2018
127. A Development of Air Quality Forecasting System with Data Assimilation using Surface Measurements in East Asia D. Choi et al. https://doi.org/10.5572/KOSAE.2019.35.1.060
128. The potential of satellite spectro-imagery for monitoring CO2 emissions from large cities G. Broquet et al. https://doi.org/10.5194/amt-11-681-2018
129. Coupling European data and local air pollution models for integrated assessment C. Carnevale et al. https://doi.org/10.1016/j.ifacol.2018.06.212
130. Improvement of downscaled ozone concentrations from the transnational scale to the kilometric scale: Need, interest and new insights H. Gauthier-Manuel et al. https://doi.org/10.1016/j.envres.2022.112947
131. Aerosol–radiation interaction modelling using online coupling between the WRF 3.7.1 meteorological model and the CHIMERE 2016 chemistry-transport model, through the OASIS3-MCT coupler R. Briant et al. https://doi.org/10.5194/gmd-10-927-2017
132. An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season S. Brands et al. https://doi.org/10.5194/gmd-13-3947-2020
133. Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) S. Ma et al. https://doi.org/10.5194/gmd-12-4603-2019
134. Modelling NO2 concentrations at the street level in the GAINS integrated assessment model: projections under current legislation G. Kiesewetter et al. https://doi.org/10.5194/acp-14-813-2014
135. Effect of photochemical self-action of carbon-containing aerosol: Wildfires I. Konovalov et al. https://doi.org/10.1134/S0001433816030063
136. Method for Experimental Data Processing Concerning Chemical Reaction Rates in Low-Atomic Gases A. Belov & N. Kalitkin https://doi.org/10.1134/S0965542520070040
137. Variability of the elemental composition of airborne mineral dust along the coast of Central Tunisia M. Saad et al. https://doi.org/10.1016/j.atmosres.2018.04.001
138. Dry deposition of reactive nitrogen to different ecosystems across eastern China: A comparison of three community models M. Chang et al. https://doi.org/10.1016/j.scitotenv.2020.137548
139. Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model P. Thunis et al. https://doi.org/10.1007/s11869-016-0427-y
140. Dealing with non-stationarity through explanatory variables in kriging-based air quality maps M. Beauchamp et al. https://doi.org/10.1016/j.spasta.2017.08.003
141. Long-range impacts of biomass burning on PM2.5: a case study of the UK with a globally nested model D. Tan et al. https://doi.org/10.5194/acp-26-3973-2026
142. Comparing alder, birch and grass pollen concentrations derived from spatiotemporal statistical and dispersion models across Switzerland B. Valipour Shokouhi et al. https://doi.org/10.1016/j.atmosenv.2025.121486
143. Modeling of Mineral Dust Emissions with a Weibull Wind Speed Distribution Including Subgrid-Scale Orography Variance L. Menut https://doi.org/10.1175/JTECH-D-17-0173.1
144. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. https://doi.org/10.5194/gmd-17-7467-2024
145. Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework E. Solazzo et al. https://doi.org/10.5194/acp-17-10435-2017
146. PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. https://doi.org/10.1016/j.atmosenv.2018.05.062
147. Simulating the pollutant dispersion during persistent Wintertime thermal Inversions over urban areas. The case of Madrid A. Martilli et al. https://doi.org/10.1016/j.atmosres.2022.106058
148. Future climatic drivers and their effect on PM10 components in Europe and the Mediterranean Sea A. Cholakian et al. https://doi.org/10.5194/acp-19-4459-2019
149. Modeling Surface Air Pollution with Reduced Emissions during the COVID-19 Pandemic Using CHIMERE and COSMO-ART Chemical Transport Models I. Kuznetsova et al. https://doi.org/10.3103/S1068373922030025
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152. How important are maritime emissions for the air quality: At European and national scale A. Monteiro et al. https://doi.org/10.1016/j.envpol.2018.07.011
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155. Representing Organic Compound Oxidation in Chemical Mechanisms for Policy-Relevant Air Quality Models under Background Troposphere Conditions R. Derwent https://doi.org/10.3390/atmos11020171
156. Assessment of fine particle variability and sources in Nairobi, Kenya with WRF-CHIMERE simulations, surface measurements, and satellite observations E. Nyaga et al. https://doi.org/10.1016/j.atmosenv.2026.121986
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158. Ridiculously simple data-driven air pollution interpolation method A. Feldman et al. https://doi.org/10.1016/j.envsoft.2026.106918
159. An investigation on the origin of regional springtime ozone episodes in the western Mediterranean P. Kalabokas et al. https://doi.org/10.5194/acp-17-3905-2017
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162. How do Cl concentrations matter for the simulation of CH4 and δ13C(CH4) and estimation of the CH4 budget through atmospheric inversions? J. Thanwerdas et al. https://doi.org/10.5194/acp-22-15489-2022
163. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. https://doi.org/10.5194/acp-20-2795-2020
164. Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model B. Denby et al. https://doi.org/10.5194/gmd-13-6303-2020
165. Silver linings in the dark clouds of COVID-19: Improvement of air quality over India and Delhi metropolitan area from measurements and WRF-CHIMERE model simulations U. Dumka et al. https://doi.org/10.1016/j.apr.2020.11.005
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168. Observations and regional modeling of aerosol optical properties, speciation and size distribution over Northern Africa and western Europe L. Menut et al. https://doi.org/10.5194/acp-16-12961-2016
169. Multi-level policies for air quality: implications of national and sub-national emission reductions on population exposure E. Peduzzi et al. https://doi.org/10.1007/s11869-018-0613-1
170. Symbolic Artificial Intelligence for Ground-Level Ozone Prediction Through Association Rule Mining D. Camarazo et al. https://doi.org/10.3390/atmos17080798
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176. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. https://doi.org/10.5194/essd-15-1197-2023
177. Benefit Analysis of the 1st Spanish Air Pollution Control Programme on Health Impacts and Associated Externalities A. Gamarra et al. https://doi.org/10.3390/atmos12010032
178. 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
179. Atmospheric emission of NO from mining explosives: A critical review I. Oluwoye et al. https://doi.org/10.1016/j.atmosenv.2017.08.006
180. How do emission reductions of individual national and local measures impact street-level air quality in a neighbourhood of Madrid, Spain? J. Santiago et al. https://doi.org/10.1007/s11869-023-01482-2
181. The unintended consequence of SO2 and NO2 regulations over China: increase of ammonia levels and impact on PM2.5 concentrations M. Lachatre et al. https://doi.org/10.5194/acp-19-6701-2019
182. Observations of urban NO x plume dispersion using mobile and satellite DOAS measurements around the megacity of St.Petersburg (Russia) D. Ionov & A. Poberovskii https://doi.org/10.1080/01431161.2018.1519274
183. Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe V. Lemaire et al. https://doi.org/10.5194/acp-16-2559-2016
184. Trends in tropospheric ozone concentrations and forest impact metrics in Europe over the time period 2000–2014 C. Proietti et al. https://doi.org/10.1007/s11676-020-01226-3
185. Assessment of the theoretical limit in instrumental detectability of northern high-latitude methane sources using δ13CCH4 atmospheric signals T. Thonat et al. https://doi.org/10.5194/acp-19-12141-2019
186. A necessary distinction between spatial representativeness of an air quality monitoring station and the delimitation of exceedance areas M. Beauchamp et al. https://doi.org/10.1007/s10661-018-6788-y
187. Which decreases in air pollution should be targeted to bring health and economic benefits and improve environmental justice? X. Morelli et al. https://doi.org/10.1016/j.envint.2019.04.077
188. Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale E. Potier et al. https://doi.org/10.5194/amt-15-5261-2022
189. Impact of Physics Parameterizations on High-Resolution Air Quality Simulations over the Paris Region L. Jiang et al. https://doi.org/10.3390/atmos11060618
190. Estimation of fossil-fuel CO2 emissions using satellite measurements of "proxy" species I. Konovalov et al. https://doi.org/10.5194/acp-16-13509-2016
191. Sequential aggregation of heterogeneous experts for PM10 forecasting B. Auder et al. https://doi.org/10.1016/j.apr.2016.06.013
192. Wintertime direct radiative effects due to black carbon (BC) over the Indo-Gangetic Plain as modelled with new BC emission inventories in CHIMERE S. Ghosh et al. https://doi.org/10.5194/acp-21-7671-2021
193. Evaluation of mineral dust aerosol optical depth and related components from the CHIMERE-DUST model using satellite remote sensing and ground-based observations Y. Xu https://doi.org/10.1016/j.atmosenv.2018.03.061
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195. Oligomer formation in the troposphere: from experimental knowledge to 3-D modeling V. Lemaire et al. https://doi.org/10.5194/gmd-9-1361-2016
196. Air pollution from traffic during pregnancy impairs newborn's cord blood immune cells: The NELA cohort A. García-Serna et al. https://doi.org/10.1016/j.envres.2020.110468
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200. 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. https://doi.org/10.5194/acp-18-15515-2018
201. Long-term health impact assessment of total PM2.5 in Europe during the 1990–2015 period G. Ciarelli et al. https://doi.org/10.1016/j.aeaoa.2019.100032
202. Why is the city's responsibility for its air pollution often underestimated? A focus on PM2.5 P. Thunis et al. https://doi.org/10.5194/acp-21-18195-2021
203. Mapping blood lead levels in French children due to environmental contamination using a modeling approach C. Tebby et al. https://doi.org/10.1016/j.scitotenv.2021.152149
204. XCO2 in an emission hot-spot region: the COCCON Paris campaign 2015 F. Vogel et al. https://doi.org/10.5194/acp-19-3271-2019
205. Reassessing air pollution exposure: How daily mobility and activities shape individual risk in greater Paris T. Benoussaïd et al. https://doi.org/10.1016/j.compenvurbsys.2025.102340
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207. Three‐dimensional distribution of a major desert dust outbreak over East Asia in March 2008 derived from IASI satellite observations J. Cuesta et al. https://doi.org/10.1002/2014JD022406
208. Direct radiative effect of the Russian wildfires and its impact on air temperature and atmospheric dynamics during August 2010 J. Péré et al. https://doi.org/10.5194/acp-14-1999-2014
209. The Monitoring Nitrous Oxide Sources (MIN2OS) satellite project P. Ricaud et al. https://doi.org/10.1016/j.rse.2021.112688
210. Do alternative inventories converge on the spatiotemporal representation of spring ammonia emissions in France? A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-20-13481-2020
211. Prediction of the day-ahead clear-sky downwelling surface solar irradiances using the REST2 model and WRF-CHIMERE simulations over the Arabian Peninsula Y. Eissa et al. https://doi.org/10.1016/j.solener.2018.01.003
212. Description and applications of a mobile system performing on-road aerosol remote sensing and in situ measurements I. Popovici et al. https://doi.org/10.5194/amt-11-4671-2018
213. Surfactant Protein D Mediates the Association Between Smoking and Type 2 Diabetes Mellitus Incidence in the Spanish Adult Population: Di@bet.es Study W. Oualla-Bachiri et al. https://doi.org/10.3390/jox15060184
214. Application of the CHIMERE-WRF Model Complex to Study the Radiative Effects of Siberian Smoke Aerosol in the Eastern Arctic I. Konovalov et al. https://doi.org/10.1134/S1024856023040085
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218. Methane (CH4) sources in Krakow, Poland: insights from isotope analysis M. Menoud et al. https://doi.org/10.5194/acp-21-13167-2021
219. Ozone exposure affects tree defoliation in a continental climate A. De Marco et al. https://doi.org/10.1016/j.scitotenv.2017.03.135
220. Overview of the Chemistry-Aerosol Mediterranean Experiment/Aerosol Direct Radiative Forcing on the Mediterranean Climate (ChArMEx/ADRIMED) summer 2013 campaign M. Mallet et al. https://doi.org/10.5194/acp-16-455-2016
221. How does upgrading an emissions inventory affect air quality simulations? M. Russo et al. https://doi.org/10.1007/s11869-019-00692-x
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223. Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea L. Menut et al. https://doi.org/10.5194/acp-18-2687-2018
224. Connecting the dots: NOx emissions along a West Siberian natural gas pipeline R. van der A et al. https://doi.org/10.1038/s41612-020-0119-z
225. Mid-21st century air quality at the urban scale under the influence of changed climate and emissions – case studies for Paris and Stockholm K. Markakis et al. https://doi.org/10.5194/acp-16-1877-2016
226. Assessment of indoor HONO formation mechanisms based on in situ measurements and modeling M. Mendez et al. https://doi.org/10.1111/ina.12320
227. 24 h Evolution of an Exceptional HONO Plume Emitted by the Record-Breaking 2019/2020 Australian Wildfire Tracked from Space G. Dufour et al. https://doi.org/10.3390/atmos13091485
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229. Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX) L. Menut et al. https://doi.org/10.5194/acp-15-7897-2015
230. Modelling benzo[a]pyrene in air and vegetation for different land uses and assessment of increased health risk in the Iberian Peninsula N. Ratola & P. Jiménez-Guerrero https://doi.org/10.1007/s11356-015-5394-6
231. Air quality in the mid-21st century for the city of Paris under two climate scenarios; from the regional to local scale K. Markakis et al. https://doi.org/10.5194/acp-14-7323-2014
232. Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky https://doi.org/10.3389/fenvs.2018.00059
233. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. https://doi.org/10.5194/essd-13-2307-2021
234. Renewable energy management system for Saudi Arabia: Methodology and preliminary results I. Gherboudj et al. https://doi.org/10.1016/j.rser.2021.111334
235. Ozone and aerosol tropospheric concentrations variability analyzed using the ADRIMED measurements and the WRF and CHIMERE models L. Menut et al. https://doi.org/10.5194/acp-15-6159-2015
236. On the design and assessment of regional air quality plans: The SHERPA approach P. Thunis et al. https://doi.org/10.1016/j.jenvman.2016.09.049
237. ASIS v1.0: an adaptive solver for the simulation of atmospheric chemistry D. Cariolle et al. https://doi.org/10.5194/gmd-10-1467-2017
238. Modelling street level PM10 concentrations across Europe: source apportionment and possible futures G. Kiesewetter et al. https://doi.org/10.5194/acp-15-1539-2015
239. Long-term exposure to particulate air pollution and components in relation to breast cancer risk: A nested case-control study in the E3N-Generations cohort T. Fareh et al. https://doi.org/10.1016/j.envint.2025.109987
240. A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe L. Vitali et al. https://doi.org/10.5194/gmd-16-6029-2023
241. The CHIMERE chemistry-transport model v2023r1 L. Menut et al. https://doi.org/10.5194/gmd-17-5431-2024
242. Atmospheric Aerosol Distribution in 2016–2017 over the Eastern European Region Based on the GEOS-Chem Model G. Milinevsky et al. https://doi.org/10.3390/atmos11070722
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245. Comparing concentration‐based (AOT40) and stomatal uptake (PODY) metrics for ozone risk assessment to European forests A. Anav et al. https://doi.org/10.1111/gcb.13138
246. Perturbateurs endocriniens et environnement : quelles données utiliser ? S. Chamot et al. https://doi.org/10.1016/j.admp.2023.101943
247. Subalpine Pyrenees received higher nitrogen deposition than predicted by EMEP and CHIMERE chemistry-transport models M. Boutin et al. https://doi.org/10.1038/srep12942
248. Risk of breast cancer associated with long-term exposure to benzo[a]pyrene (BaP) air pollution: Evidence from the French E3N cohort study A. Amadou et al. https://doi.org/10.1016/j.envint.2021.106399
249. CHIMERE-2017: from urban to hemispheric chemistry-transport modeling S. Mailler et al. https://doi.org/10.5194/gmd-10-2397-2017
250. Integrated emission inventory and modeling to assess distribution of particulate matter mass and black carbon composition in Southeast Asia D. Permadi et al. https://doi.org/10.5194/acp-18-2725-2018
251. Can biomonitors effectively detect airborne benzo[a]pyrene? An evaluation approach using modelling N. Ratola & P. Jiménez-Guerrero https://doi.org/10.5194/acp-16-4271-2016
252. Improving Air Quality Zoning Through Deep Learning and Hyperlocal Measurements E. Fernández et al. https://doi.org/10.1109/ACCESS.2024.3374208
253. From emissions to source allocation: Synergies and trade-offs between top-down and bottom-up information L. Sartini et al. https://doi.org/10.1016/j.aeaoa.2020.100088
254. The Future Impact of Shipping Emissions on Air Quality in Europe under Climate Change M. Russo et al. https://doi.org/10.3390/atmos14071126
255. Avoided Mortality Associated with Improved Air Quality from an Increase in Renewable Energy in the Spanish Transport Sector: Use of Biofuels and the Adoption of the Electric Car A. Gamarra et al. https://doi.org/10.3390/atmos12121603
256. Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC (intermediate-volatility organic compound) emissions V. Lannuque et al. https://doi.org/10.5194/acp-20-4905-2020
257. Designing local air pollution policies focusing on mobility and heating to avoid a targeted number of pollution-related deaths: Forward and backward approaches combining air pollution modeling, health impact assessment and cost-benefit analysis H. Bouscasse et al. https://doi.org/10.1016/j.envint.2021.107030
258. Development of a Dust Source Map for WRF-Chem Model Based on MODIS NDVI C. Spyrou et al. https://doi.org/10.3390/atmos13060868
259. Atmospheric constraints on the methane emissions from the East Siberian Shelf A. Berchet et al. https://doi.org/10.5194/acp-16-4147-2016
260. Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris L. Lugon et al. https://doi.org/10.1016/j.apr.2022.101365
261. Ozone pollution: What can we see from space? A case study G. Foret et al. https://doi.org/10.1002/2013JD021340
262. Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4 L. Menut et al. https://doi.org/10.5194/gmd-13-2051-2020
263. Assessing Douro Vineyards Exposure to Tropospheric Ozone A. Ascenso et al. https://doi.org/10.3390/atmos12020200
264. Thoughts on Earth System Modeling: From global to regional scale E. Canepa & P. Builtjes https://doi.org/10.1016/j.earscirev.2017.06.017
265. Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. https://doi.org/10.1002/2017GL076788
266. Performance assessment of CHIMERE and EURAD-IM’ dust modules C. Gama et al. https://doi.org/10.1016/j.apr.2019.03.005
267. The Nutrition in Early Life and Asthma (NELA) birth cohort study: Rationale, design, and methods E. Morales et al. https://doi.org/10.1111/ppe.12826
268. Modelling SO2 conversion into sulfates in the mid-troposphere with a 3D chemistry transport model: the case of Mount Etna's eruption on 12 April 2012 M. Lachatre et al. https://doi.org/10.5194/acp-22-13861-2022
269. Evaluating BC and NOx emission inventories for the Paris region from MEGAPOLI aircraft measurements H. Petetin et al. https://doi.org/10.5194/acp-15-9799-2015
270. Impact of residential combustion and transport emissions on air pollution in Santiago during winter A. Mazzeo et al. https://doi.org/10.1016/j.atmosenv.2018.06.043
271. Black carbon health impacts in the Indo-Gangetic plain: Exposures, risks, and mitigation S. Verma et al. https://doi.org/10.1126/sciadv.abo4093
272. Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al. https://doi.org/10.3390/rs12213575
273. When air pollution meets comorbidities: evidence on the causal effect of PM2.5 on COVID-19 hospitalizations and deaths C. Morvan et al. https://doi.org/10.1093/ije/dyag152
274. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. https://doi.org/10.5194/amt-16-1745-2023
275. Soccer games and record-breaking PM2.5 pollution events in Santiago, Chile R. Lapere et al. https://doi.org/10.5194/acp-20-4681-2020
276. Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. https://doi.org/10.3390/atmos14010154
277. CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-24-4635-2024
278. Sequence-oriented sensitive analysis for PM2.5 exposure and risk assessment using interactive process mining E. Illueca Fernández et al. https://doi.org/10.1371/journal.pone.0290372
279. Box modelling of gas-phase atmospheric iodine chemical reactivity in case of a nuclear accident C. Fortin et al. https://doi.org/10.1016/j.atmosenv.2019.116838
280. 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
281. Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. https://doi.org/10.1080/16000889.2020.1823733
282. Biogenic secondary organic aerosol sensitivity to organic aerosol simulation schemes in climate projections A. Cholakian et al. https://doi.org/10.5194/acp-19-13209-2019
283. Growing season extension affects ozone uptake by European forests A. Anav et al. https://doi.org/10.1016/j.scitotenv.2019.03.020
284. Diurnal cycle of coastal anthropogenic pollutant transport over southern West Africa during the DACCIWA campaign A. Deroubaix et al. https://doi.org/10.5194/acp-19-473-2019
285. Sensitivity of low-level clouds and precipitation to anthropogenic aerosol emission in southern West Africa: a DACCIWA case study A. Deroubaix et al. https://doi.org/10.5194/acp-22-3251-2022
286. What Are the Sectors Contributing to the Exceedance of European Air Quality Standards over the Iberian Peninsula? A Source Contribution Analysis P. Jiménez-Guerrero https://doi.org/10.3390/su14052759
287. Impact of Landes forest fires on air quality in France during the 2022 summer L. Menut et al. https://doi.org/10.5194/acp-23-7281-2023
288. New concepts for the comparison of tropospheric NO2 column densities derived from car-MAX-DOAS observations, OMI satellite observations and the regional model CHIMERE during two MEGAPOLI campaigns in Paris 2009/10 R. Shaiganfar et al. https://doi.org/10.5194/amt-8-2827-2015
289. Validation of meteorological and ground-level ozone WRF-CHIMERE simulations in a mountainous grapevine growing area for phytotoxic risk assessment D. Blanco-Ward et al. https://doi.org/10.1016/j.atmosenv.2021.118507
290. Assessing the ammonium nitrate formation regime in the Paris megacity and its representation in the CHIMERE model H. Petetin et al. https://doi.org/10.5194/acp-16-10419-2016
291. Modelling of atmospheric copper, iron, and manganese over Europe N. Dubois et al. https://doi.org/10.1016/j.atmosenv.2026.121884
292. OMI-based emission source classification in East China and its spatial redistribution in view of pollution control measures M. Zara et al. https://doi.org/10.1007/s10661-024-12421-8
293. Trends and inter-relationships of ground-level ozone metrics and forest health in Lithuania V. Araminienė et al. https://doi.org/10.1016/j.scitotenv.2018.12.092
294. Characterizing the regional contribution to PM10 pollution over northern France using two complementary approaches: Chemistry transport and trajectory-based receptor models E. Potier et al. https://doi.org/10.1016/j.atmosres.2019.03.002
295. Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. https://doi.org/10.3390/atmos11101128
296. Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services M. Nibart et al. https://doi.org/10.3390/atmos12111410
297. Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide E. Berezin et al. https://doi.org/10.3390/atmos7100132
298. Formation of secondary organic aerosol in the Paris pollution plume and its impact on surrounding regions Q. Zhang et al. https://doi.org/10.5194/acp-15-13973-2015
299. Insights into the aging of biomass burning aerosol from satellite observations and 3D atmospheric modeling: evolution of the aerosol optical properties in Siberian wildfire plumes I. Konovalov et al. https://doi.org/10.5194/acp-21-357-2021
300. Assessment of the differences in European CH4 emission estimates from three TROPOMI products A. Sicsik-Paré et al. https://doi.org/10.5194/acp-26-10423-2026
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302. Effect of mid-term drought on Quercus pubescens BVOCs' emission seasonality and their dependency on light and/or temperature A. Saunier et al. https://doi.org/10.5194/acp-17-7555-2017
303. Investigating the sensitivity of health benefits to focussed PM2.5 emission abatement strategies T. Oxley et al. https://doi.org/10.1016/j.envsoft.2015.07.011
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305. Analysis of exposure to fine particulate matter using passive data from public transport B. Trewhela et al. https://doi.org/10.1016/j.atmosenv.2019.116878
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314. In situ formation and spatial variability of particle number concentration in a European megacity M. Pikridas et al. https://doi.org/10.5194/acp-15-10219-2015
315. Human exposure to carcinogens in ambient air in Denmark, Finland and Sweden P. Fauser et al. https://doi.org/10.1016/j.atmosenv.2017.08.033
316. Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland F. Carotenuto et al. https://doi.org/10.5194/acp-17-14919-2017
317. Combined field/modelling approaches to represent the air-vegetation distribution of benzo[a]pyrene using different vegetation species N. Ratola & P. Jiménez-Guerrero https://doi.org/10.1016/j.atmosenv.2015.01.063
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319. Using ship-borne observations of methane isotopic ratio in the Arctic Ocean to understand methane sources in the Arctic A. Berchet et al. https://doi.org/10.5194/acp-20-3987-2020
320. Air Quality Degradation by Mineral Dust over Beijing, Chengdu and Shanghai Chinese Megacities M. Lachatre et al. https://doi.org/10.3390/atmos11070708
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323. Multiple xenoestrogen air pollutants and breast cancer risk: Statistical approaches to investigate combined exposures effect A. Amadou et al. https://doi.org/10.1016/j.envpol.2024.124043
324. Unaccounted variability in NH3 agricultural sources detected by IASI contributing to European spring haze episode A. Fortems‐Cheiney et al. https://doi.org/10.1002/2016GL069361
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326. Estimating emissions from tourism activities M. Russo et al. https://doi.org/10.1016/j.atmosenv.2019.117048
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336. Seasonal variation in atmospheric pollutants transport in central Chile: dynamics and consequences R. Lapere et al. https://doi.org/10.5194/acp-21-6431-2021
337. Interactions of atmospheric gases and aerosols with the monsoon dynamics over the Sudano-Guinean region during AMMA A. Deroubaix et al. https://doi.org/10.5194/acp-18-445-2018
338. High-resolution air quality simulation over Europe with the chemistry transport model CHIMERE E. Terrenoire et al. https://doi.org/10.5194/gmd-8-21-2015
339. Intercomparison of NOx emission inventories over East Asia J. Ding et al. https://doi.org/10.5194/acp-17-10125-2017
340. Nonstationary modeling of NO2, NO and NOx in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach L. Lugon et al. https://doi.org/10.5194/acp-20-7717-2020
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354. Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013 J. Guth et al. https://doi.org/10.5194/acp-18-4911-2018
355. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. https://doi.org/10.5194/acp-22-13527-2022
356. Downscaling of air pollutants in Europe using uEMEP_v6 Q. Mu et al. https://doi.org/10.5194/gmd-15-449-2022
357. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. https://doi.org/10.5194/gmd-8-1525-2015
358. Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion A. Berchet et al. https://doi.org/10.5194/bg-12-5393-2015
359. Simulation of fine organic aerosols in the western Mediterranean area during the ChArMEx 2013 summer campaign A. Cholakian et al. https://doi.org/10.5194/acp-18-7287-2018
360. The 2017 Mega-Fires in Central Chile: Impacts on Regional Atmospheric Composition and Meteorology Assessed from Satellite Data and Chemistry-Transport Modeling R. Lapere et al. https://doi.org/10.3390/atmos12030344
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365. Impact of Highly Reflective Materials on Meteorology, PM10 and Ozone in Urban Areas: A Modeling Study with WRF-CHIMERE at High Resolution over Milan (Italy) S. Falasca & G. Curci https://doi.org/10.3390/urbansci2010018
366. Influence of the aerosol solar extinction on photochemistry during the 2010 Russian wildfires episode J. Péré et al. https://doi.org/10.5194/acp-15-10983-2015
367. A new hybrid models based on the neural network and discrete wavelet transform to identify the CHIMERE model limitation A. Ajdour et al. https://doi.org/10.1007/s11356-022-23084-8
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