363 citations as recorded by crossref.

1. Impact of lockdown measures to combat Covid-19 on air quality over western Europe L. Menut et al. https://doi.org/10.1016/j.scitotenv.2020.140426
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
141. 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
142. 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
143. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. https://doi.org/10.5194/amt-16-1745-2023
144. 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
145. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens https://doi.org/10.1021/cr5005887
146. 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
147. 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
148. 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
149. 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
150. 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
151. 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
152. 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
153. 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
154. 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
155. Spatial Representativeness Error in the Ground‐Level Observation Networks for Black Carbon Radiation Absorption R. Wang et al. https://doi.org/10.1002/2017GL076817
156. 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
157. 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
158. Towards air quality modeling in Agadir City (Morocco) A. Ajdour et al. https://doi.org/10.1016/j.matpr.2019.07.438
159. 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
160. 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
161. 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
162. 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
163. 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
164. 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
165. 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
166. 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
167. 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
168. Source contributions to 2012 summertime aerosols in the Euro-Mediterranean region G. Rea et al. https://doi.org/10.5194/acp-15-8013-2015
169. 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
170. 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
171. Toward Emulating an Explicit Organic Chemistry Mechanism With Random Forest Models C. Mouchel‐Vallon & A. Hodzic https://doi.org/10.1029/2022JD038227
172. 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
173. 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
174. 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
175. Growing season extension affects ozone uptake by European forests A. Anav et al. https://doi.org/10.1016/j.scitotenv.2019.03.020
176. 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
177. 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
178. 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
179. 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
180. 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
181. 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
182. 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
183. 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
184. 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
185. 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
186. 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
187. 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
188. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model A. Manders et al. https://doi.org/10.5194/gmd-10-4145-2017
189. Modelling of atmospheric copper, iron, and manganese over Europe N. Dubois et al. https://doi.org/10.1016/j.atmosenv.2026.121884
190. Is the ozone climate penalty robust in Europe? A. Colette et al. https://doi.org/10.1088/1748-9326/10/8/084015
191. 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
192. 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
193. 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
194. 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
195. 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
196. Improvement of local ozone phytotoxicity modelling for autochthonous grape cultivars D. Blanco-Ward et al. https://doi.org/10.1016/j.atmosenv.2022.119538
197. 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
198. 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
199. 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
200. 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
201. 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
202. Impact of Lightning NOx Emissions on Atmospheric Composition and Meteorology in Africa and Europe L. Menut et al. https://doi.org/10.3390/atmos11101128
203. 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
204. 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
205. 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
206. 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
207. 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
208. 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
209. An attempt at estimating Paris area CO2 emissions from atmospheric concentration measurements F. Bréon et al. https://doi.org/10.5194/acp-15-1707-2015
210. 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
211. Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. https://doi.org/10.5194/acp-24-10583-2024
212. 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
213. 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
214. 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
215. OLYMPUS v1.0: development of an integrated air pollutant and GHG urban emissions model – methodology and calibration over greater Paris A. Elessa Etuman & I. Coll https://doi.org/10.5194/gmd-11-5085-2018
216. 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
217. Frontiers in air quality modelling A. Colette et al. https://doi.org/10.5194/gmd-7-203-2014
218. 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
219. Assessment of the Statistical Performance of Chemical Transport Model Studies in India R. Shandilya et al. https://doi.org/10.1021/acsestair.4c00072
220. 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
221. 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
222. 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
223. Sensitivity of stomatal conductance to soil moisture: implications for tropospheric ozone A. Anav et al. https://doi.org/10.5194/acp-18-5747-2018
224. 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
225. A pragmatic approach to estimate the number of days in exceedance of PM10 limit value M. Beauchamp et al. https://doi.org/10.1016/j.atmosenv.2015.03.062
226. 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
227. 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
228. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2018 A. Petrescu et al. https://doi.org/10.5194/essd-13-2363-2021
229. 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
230. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. https://doi.org/10.5194/gmd-14-2939-2021
231. 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
232. Evaluation of receptor and chemical transport models for PM10 source apportionment C. Belis et al. https://doi.org/10.1016/j.aeaoa.2019.100053
233. A 3 °C global RCP8.5 emission trajectory cancels benefits of European emission reductions on air quality A. Fortems-Cheiney et al. https://doi.org/10.1038/s41467-017-00075-9
234. On the Redox-Activity and Health-Effects of Atmospheric Primary and Secondary Aerosol: Phenomenology F. Costabile et al. https://doi.org/10.3390/atmos13050704
235. 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
236. Assessment of the Effects of the Spanish National Air Pollution Control Programme on Air Quality M. Vivanco et al. https://doi.org/10.3390/atmos12020158
237. Long-term atmospheric exposure to particulate matter and breast cancer risk: findings from a nested case-control study in France D. Praud et al. https://doi.org/10.1038/s41416-025-03311-y
238. 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
239. 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
240. 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
241. 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
242. Effect of photochemical self-action of carbon-containing aerosol: Wildfires I. Konovalov et al. https://doi.org/10.1134/S0001433816030063
243. Method for Experimental Data Processing Concerning Chemical Reaction Rates in Low-Atomic Gases A. Belov & N. Kalitkin https://doi.org/10.1134/S0965542520070040
244. 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
245. 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
246. 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
247. OLYMPUS: An emission model to connect urban form, individual practices and atmospheric pollutant release A. Elessa Etuman et al. https://doi.org/10.1016/j.atmosenv.2020.118013
248. 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
249. 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
250. Air Quality Degradation by Mineral Dust over Beijing, Chengdu and Shanghai Chinese Megacities M. Lachatre et al. https://doi.org/10.3390/atmos11070708
251. 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
252. 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
253. 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
254. NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. https://doi.org/10.1029/2020GL089912
255. 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
256. 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
257. Simulating secondary organic aerosol from anthropogenic and biogenic precursors: comparison to outdoor chamber experiments, effect of oligomerization on SOA formation and reactive uptake of aldehydes F. Couvidat et al. https://doi.org/10.5194/acp-18-15743-2018
258. 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
259. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. https://doi.org/10.5194/gmd-17-7467-2024
260. 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
261. 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
262. 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
263. 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
264. What is the relative impact of nudging and online coupling on meteorological variables, pollutant concentrations and aerosol optical properties? L. Menut et al. https://doi.org/10.5194/gmd-17-3645-2024
265. 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
266. 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
267. Impacts of regional climate change on air quality projections and associated uncertainties G. Lacressonnière et al. https://doi.org/10.1007/s10584-016-1619-z
268. Constraining CO2 emissions from open biomass burning by satellite observations of co-emitted species: a method and its application to wildfires in Siberia I. Konovalov et al. https://doi.org/10.5194/acp-14-10383-2014
269. 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
270. What Can We Expect from Data Assimilation for Air Quality Forecast? Part I: Quantification with Academic Test Cases L. Menut & B. Bessagnet https://doi.org/10.1175/JTECH-D-18-0002.1
271. Estimating emissions from tourism activities M. Russo et al. https://doi.org/10.1016/j.atmosenv.2019.117048
272. Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area C. Viatte et al. https://doi.org/10.5194/acp-20-577-2020
273. 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
274. Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China J. Lu et al. https://doi.org/10.5194/acp-23-8021-2023
275. 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
276. Association between long term exposure to particulate matter and incident hypertension in Spain V. Doulatram-Gamgaram et al. https://doi.org/10.1038/s41598-021-99154-7
277. What would dense atmospheric observation networks bring to the quantification of city CO2 emissions? L. Wu et al. https://doi.org/10.5194/acp-16-7743-2016
278. Ridiculously simple data-driven air pollution interpolation method A. Feldman et al. https://doi.org/10.1016/j.envsoft.2026.106918
279. Exposure to ambient black carbon derived from a unique inventory and high-resolution model R. Wang et al. https://doi.org/10.1073/pnas.1318763111
280. 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
281. What Can We Expect from Data Assimilation for Air Quality Forecast? Part II: Analysis with a Semi-Real Case B. Bessagnet et al. https://doi.org/10.1175/JTECH-D-18-0117.1
282. Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction I. Mokhtari et al. https://doi.org/10.1109/ACCESS.2021.3052429
283. 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
284. 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
285. 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
286. 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
287. Enhancing air pollution prediction: A neural transfer learning approach across different air pollutants I. Jairi et al. https://doi.org/10.1016/j.eti.2024.103793
288. Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. https://doi.org/10.5194/gmd-12-33-2019
289. 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
290. Dust Characterization and Its Potential Impact during the 2014–2015 Fogo Volcano Eruption (Cape Verde) C. Candeias et al. https://doi.org/10.3390/min11111275
291. On the radiative impact of aerosols on photolysis rates: comparison of simulations and observations in the Lampedusa island during the ChArMEx/ADRIMED campaign S. Mailler et al. https://doi.org/10.5194/acp-16-1219-2016
292. Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations F. Lemmouchi et al. https://doi.org/10.3390/rs15061510
293. 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
294. 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
295. Anthropogenic Emission Scenarios over Europe with the WRF-CHIMERE-v2020 Models: Impact of Duration and Intensity of Reductions on Surface Concentrations during the Winter of 2015 A. Cholakian et al. https://doi.org/10.3390/atmos14020224
296. Short-term exposure to air pollution and depressive symptoms: Findings from the French CONSTANCES cohort Y. Charada et al. https://doi.org/10.1016/j.envint.2026.110200
297. The mortality impacts of fine particles in France M. Pascal et al. https://doi.org/10.1016/j.scitotenv.2016.06.213
298. 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
299. Towards an agent based traffic regulation and recommendation system for the on-road air quality control A. Sadiq et al. https://doi.org/10.1186/s40064-016-3282-2
300. 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
301. 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
302. 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
303. Intercomparison of NOx emission inventories over East Asia J. Ding et al. https://doi.org/10.5194/acp-17-10125-2017
304. 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
305. 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
306. Impact of parameterization choices on the restitution of ozone deposition over vegetation A. Le Morvan-Quéméner et al. https://doi.org/10.1016/j.atmosenv.2018.01.003
307. 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
308. 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
309. 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
310. 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
311. 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
312. 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
313. 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
314. Atmospheric emission of NO from mining explosives: A critical review I. Oluwoye et al. https://doi.org/10.1016/j.atmosenv.2017.08.006
315. 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
316. 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
317. Assessing the Robustness of Ozone Chemical Regimes to Chemistry-Transport Model Configurations E. Real et al. https://doi.org/10.3390/atmos15050532
318. Space-based NOx emission estimates over remote regions improved in DECSO J. Ding et al. https://doi.org/10.5194/amt-10-925-2017
319. 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
320. 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
321. 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
322. 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
323. 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
324. Evaluation of modeled smoke plumes of wildfires in the Argentinian Patagonia, against satellite observations M. García Ferreyra et al. https://doi.org/10.1016/j.envpol.2025.126540
325. An additive geostatistical model for mixing total and partial PM10 observations with CHIMERE rCTM M. Beauchamp et al. https://doi.org/10.1016/j.atmosenv.2018.06.035
326. 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
327. 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
328. 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
329. Impact of Physics Parameterizations on High-Resolution Air Quality Simulations over the Paris Region L. Jiang et al. https://doi.org/10.3390/atmos11060618
330. 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
331. Fine Particulate Matter Related to Multiple Sclerosis Relapse in Young Patients E. Januel et al. https://doi.org/10.3389/fneur.2021.651084
332. 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
333. Sequential aggregation of heterogeneous experts for PM10 forecasting B. Auder et al. https://doi.org/10.1016/j.apr.2016.06.013
334. 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
335. 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
336. 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
337. 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
338. 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
339. 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
340. Downscaling of air pollutants in Europe using uEMEP_v6 Q. Mu et al. https://doi.org/10.5194/gmd-15-449-2022
341. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. https://doi.org/10.5194/gmd-8-1525-2015
342. 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
343. 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
344. Association of modeled PM2.5 with aerosol optical depth: model versus satellite N. Srivastava https://doi.org/10.1007/s11069-019-03590-8
345. 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
346. 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
347. Estimation of the Elemental to Organic Carbon Ratio in Biomass Burning Aerosol Using AERONET Retrievals I. Konovalov et al. https://doi.org/10.3390/atmos8070122
348. Association between exposure to air pollution and blood lipids in the general population of Spain S. Valdés et al. https://doi.org/10.1111/eci.14101
349. High spatial resolution WRF-Chem modeling in Quito, Ecuador G. Mancheno & H. Jorquera https://doi.org/10.1039/D5VA00059A
350. Addressing the issue of exposure to primary pollution in urban areas: Application to Greater Paris A. Elessa Etuman et al. https://doi.org/10.1016/j.atmosenv.2020.117661
351. A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction S. Tsokov et al. https://doi.org/10.3390/su14095104
352. 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
353. 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
354. 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
355. 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
356. 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
357. 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
358. 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
359. 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
360. 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
361. 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
362. 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
363. Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region N. Yusuf & R. Sa'id https://doi.org/10.1016/j.heliyon.2023.e18815