368 citations as recorded by crossref.

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2. 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
3. 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
4. The Monitoring Nitrous Oxide Sources (MIN2OS) satellite project P. Ricaud et al. https://doi.org/10.1016/j.rse.2021.112688
5. EURODELTA-Trends, a multi-model experiment of air quality hindcast in Europe over 1990–2010 A. Colette et al. https://doi.org/10.5194/gmd-10-3255-2017
6. 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
7. 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
8. 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
9. Representation of chemistry transport models simulations using knowledge graphs E. Illueca Fernández et al. https://doi.org/10.1186/s13321-025-01025-0
10. 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
11. 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
12. 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
13. Nitrogen deposition and climate change have increased vascular plant species richness and altered the composition of grazed subalpine grasslands M. Boutin et al. https://doi.org/10.1111/1365-2745.12743
14. Assessing the health impact of the national air pollution control programme at city level: the case of Madrid A. Gamarra et al. https://doi.org/10.1007/s10098-025-03385-5
15. 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
16. An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. https://doi.org/10.3390/atmos8120251
17. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
18. Methane (CH4) sources in Krakow, Poland: insights from isotope analysis M. Menoud et al. https://doi.org/10.5194/acp-21-13167-2021
19. Ozone exposure affects tree defoliation in a continental climate A. De Marco et al. https://doi.org/10.1016/j.scitotenv.2017.03.135
20. 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
21. 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
22. How does upgrading an emissions inventory affect air quality simulations? M. Russo et al. https://doi.org/10.1007/s11869-019-00692-x
23. On the validity of the incremental approach to estimate the impact of cities on air quality P. Thunis https://doi.org/10.1016/j.atmosenv.2017.11.012
24. 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
25. 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
26. 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
27. 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
28. 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
29. Assessment of indoor HONO formation mechanisms based on in situ measurements and modeling M. Mendez et al. https://doi.org/10.1111/ina.12320
30. 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
31. 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
32. Multi-pollutant exposure profiles associated with breast cancer risk: A Bayesian profile regression analysis in the French E3N cohort C. Giampiccolo et al. https://doi.org/10.1016/j.envint.2024.108943
33. 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
34. Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX) L. Menut et al. https://doi.org/10.5194/acp-15-7897-2015
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond https://doi.org/10.1016/j.atmosenv.2021.118832
43. 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
44. Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky https://doi.org/10.3389/fenvs.2018.00059
45. 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
46. Renewable energy management system for Saudi Arabia: Methodology and preliminary results I. Gherboudj et al. https://doi.org/10.1016/j.rser.2021.111334
47. 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
48. Updated SO2 emission estimates over China using OMI/Aura observations M. Koukouli et al. https://doi.org/10.5194/amt-11-1817-2018
49. 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
50. CHIMBO Air Quality Modeling System: Verification and Processes Analysis T. Landi et al. https://doi.org/10.3390/atmos15111386
51. 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
52. 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
53. 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
54. 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
55. Does working from home pollute? The environmental effects of WFH S. Briole & E. Lavaine https://doi.org/10.1016/j.euroecorev.2026.105266
56. 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
57. 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
58. 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
59. NOx emission estimates during the 2014 Youth Olympic Games in Nanjing J. Ding et al. https://doi.org/10.5194/acp-15-9399-2015
60. 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
61. 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
62. 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
63. 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
64. 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
65. The CHIMERE chemistry-transport model v2023r1 L. Menut et al. https://doi.org/10.5194/gmd-17-5431-2024
66. 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
67. 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
68. 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
69. Atlas of ozone chemical regimes in Europe E. Real et al. https://doi.org/10.1016/j.atmosenv.2023.120323
70. The role of plant phenology in stomatal ozone flux modeling A. Anav et al. https://doi.org/10.1111/gcb.13823
71. 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
72. 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
73. 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
74. First Implementation of the WRF-CHIMERE-EDGAR Modeling System Over Argentina M. Ferreyra et al. https://doi.org/10.1109/JSTARS.2016.2588502
75. 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
76. NOx emissions in India derived from OMI satellite observations J. Ding et al. https://doi.org/10.1016/j.aeaoa.2022.100174
77. 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
78. 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
79. 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
80. 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
81. Perturbateurs endocriniens et environnement : quelles données utiliser ? S. Chamot et al. https://doi.org/10.1016/j.admp.2023.101943
82. 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
83. 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
84. 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
85. 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
86. The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. https://doi.org/10.5194/gmd-14-6781-2021
87. 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
88. 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
89. Urban aerosol assessment and forecast: Coimbra case study O. Tchepel et al. https://doi.org/10.1016/j.apr.2020.04.006
90. 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
91. CHIMERE-2017: from urban to hemispheric chemistry-transport modeling S. Mailler et al. https://doi.org/10.5194/gmd-10-2397-2017
92. 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
93. 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
94. 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
95. 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
96. 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
97. 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
98. 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
99. Improving Air Quality Zoning Through Deep Learning and Hyperlocal Measurements E. Fernández et al. https://doi.org/10.1109/ACCESS.2024.3374208
100. 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
101. 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
102. The Future Impact of Shipping Emissions on Air Quality in Europe under Climate Change M. Russo et al. https://doi.org/10.3390/atmos14071126
103. 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
104. 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
105. 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
106. 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
107. Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations R. Wang et al. https://doi.org/10.1002/2015JD024326
108. 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
109. 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
110. 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
111. 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
112. 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
113. Development of a Dust Source Map for WRF-Chem Model Based on MODIS NDVI C. Spyrou et al. https://doi.org/10.3390/atmos13060868
114. Improving volcanic sulfur dioxide cloud dispersal forecasts by progressive assimilation of satellite observations M. Boichu et al. https://doi.org/10.1002/2014GL059496
115. 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
116. Atmospheric constraints on the methane emissions from the East Siberian Shelf A. Berchet et al. https://doi.org/10.5194/acp-16-4147-2016
117. Air Quality over China G. de Leeuw et al. https://doi.org/10.3390/rs13173542
118. 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
119. Ozone pollution: What can we see from space? A case study G. Foret et al. https://doi.org/10.1002/2013JD021340
120. 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
121. 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
122. 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
123. 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
124. 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
125. 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
126. 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
127. 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
128. 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
129. Assessing Douro Vineyards Exposure to Tropospheric Ozone A. Ascenso et al. https://doi.org/10.3390/atmos12020200
130. Thoughts on Earth System Modeling: From global to regional scale E. Canepa & P. Builtjes https://doi.org/10.1016/j.earscirev.2017.06.017
131. Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. https://doi.org/10.1002/2017GL076788
132. Performance assessment of CHIMERE and EURAD-IM’ dust modules C. Gama et al. https://doi.org/10.1016/j.apr.2019.03.005
133. 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
134. 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
135. 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
136. 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
137. 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
138. Black carbon health impacts in the Indo-Gangetic plain: Exposures, risks, and mitigation S. Verma et al. https://doi.org/10.1126/sciadv.abo4093
139. Photo-chemical transport modelling of tropospheric ozone: A review S. Sharma et al. https://doi.org/10.1016/j.atmosenv.2017.03.047
140. 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
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142. 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
143. 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
144. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. https://doi.org/10.5194/amt-16-1745-2023
145. 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
146. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens https://doi.org/10.1021/cr5005887
147. 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
148. 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
149. 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
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151. 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
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260. 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
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263. 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
264. 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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267. 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
268. 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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271. 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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275. 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
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286. Modeling exposure to airborne metals using moss biomonitoring in cemeteries in two urban areas around Paris and Lyon in France E. Lequy et al. https://doi.org/10.1016/j.envpol.2022.119097
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291. 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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295. 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
296. 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
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305. On the importance of the model representation of organic aerosol in simulations of the direct radiative effect of Siberian biomass burning aerosol in the eastern Arctic I. Konovalov et al. https://doi.org/10.1016/j.atmosenv.2023.119910
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308. Using Objective Analysis for the Assimilation of Satellite-Derived Aerosol Products to Improve PM2.5 Predictions over Europe M. Chrit & M. Majdi https://doi.org/10.3390/atmos13050763
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310. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. https://doi.org/10.5194/essd-15-4295-2023
311. Improvement of the vertical mixing in chemistry transport modeling based on a 1.5-order turbulence kinetic energy-based eddy diffusivity closure scheme L. Jiang et al. https://doi.org/10.1016/j.atmosres.2022.106394
312. 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
313. Understanding the Simulated Ammonia Increasing Trend from 2008 to 2015 over Europe with CHIMERE and Comparison with IASI Observations A. Fortems-Cheiney et al. https://doi.org/10.3390/atmos13071101
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316. 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
317. Moving towards ambitious climate policies: Monetised health benefits from improved air quality could offset mitigation costs in Europe S. Schucht et al. https://doi.org/10.1016/j.envsci.2015.03.001
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320. 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
321. Assessing the Robustness of Ozone Chemical Regimes to Chemistry-Transport Model Configurations E. Real et al. https://doi.org/10.3390/atmos15050532
322. Space-based NOx emission estimates over remote regions improved in DECSO J. Ding et al. https://doi.org/10.5194/amt-10-925-2017
323. 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
324. 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
325. 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
326. 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
327. 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
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330. 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
331. 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
332. The association between air pollution and the severity at diagnosis and progression of systemic sclerosis-associated interstitial lung disease: results from the retrospective ScleroPol study A. Roeser et al. https://doi.org/10.1186/s12931-023-02463-w
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334. 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
335. Fine Particulate Matter Related to Multiple Sclerosis Relapse in Young Patients E. Januel et al. https://doi.org/10.3389/fneur.2021.651084
336. Combining monitoring and modelling approaches for BaP characterization over a petrochemical area N. Domínguez-Morueco et al. https://doi.org/10.1016/j.scitotenv.2018.12.202
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338. 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
339. The impact of meteorological forcings on gas phase air pollutants over Europe L. Watson et al. https://doi.org/10.1016/j.atmosenv.2015.07.037
340. 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
341. 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
342. LagEnsembleForecasting: Multi-lag ensemble learning and cross-pollutant transfer learning for comprehensive air quality forecasting I. Jairi et al. https://doi.org/10.1016/j.envsoft.2026.107140
343. 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
344. 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
345. Downscaling of air pollutants in Europe using uEMEP_v6 Q. Mu et al. https://doi.org/10.5194/gmd-15-449-2022
346. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. https://doi.org/10.5194/gmd-8-1525-2015
347. 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
348. 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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350. 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
351. 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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357. 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
358. 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
359. The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia I. Konovalov et al. https://doi.org/10.5194/acp-15-13269-2015
360. 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
361. 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
362. 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
363. 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
364. 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
365. 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
366. 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
367. Data-driven versus deterministic modeling for atmospheric trace gas prediction: insights from NARX and CHIMERE models A. Adnane et al. https://doi.org/10.1007/s00704-026-06119-9
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