342 citations as recorded by crossref.

1. Impact of lockdown measures to combat Covid-19 on air quality over western Europe L. Menut et al. 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. 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. 10.5194/acp-14-1999-2014
4. The Monitoring Nitrous Oxide Sources (MIN2OS) satellite project P. Ricaud et al. 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. 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. 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. 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. 10.5194/amt-11-4671-2018
9. Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
10. Application of the CHIMERE-WRF Model Complex to Study the Radiative Effects of Siberian Smoke Aerosol in the Eastern Arctic I. Konovalov et al. 10.1134/S1024856023040085
11. Nitrogen deposition and climate change have increased vascular plant species richness and altered the composition of grazed subalpine grasslands M. Boutin et al. 10.1111/1365-2745.12743
12. 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. 10.1016/j.envpol.2022.120719
13. An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. 10.3390/atmos8120251
14. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
15. Methane (CH<sub>4</sub>) sources in Krakow, Poland: insights from isotope analysis M. Menoud et al. 10.5194/acp-21-13167-2021
16. Ozone exposure affects tree defoliation in a continental climate A. De Marco et al. 10.1016/j.scitotenv.2017.03.135
17. A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-20-13557-2020
18. Overview of the Chemistry-Aerosol Mediterranean Experiment/Aerosol Direct Radiative Forcing on the Mediterranean Climate (ChArMEx/ADRIMED) summer 2013 campaign M. Mallet et al. 10.5194/acp-16-455-2016
19. How does upgrading an emissions inventory affect air quality simulations? M. Russo et al. 10.1007/s11869-019-00692-x
20. On the validity of the incremental approach to estimate the impact of cities on air quality P. Thunis 10.1016/j.atmosenv.2017.11.012
21. Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea L. Menut et al. 10.5194/acp-18-2687-2018
22. Connecting the dots: NOx emissions along a West Siberian natural gas pipeline R. van der A et al. 10.1038/s41612-020-0119-z
23. 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. 10.5194/acp-16-1877-2016
24. Role of the boundary layer dynamics effects on an extreme air pollution event in Paris J. Dupont et al. 10.1016/j.atmosenv.2016.06.061
25. Application of the Monte-Carlo Method to the Description of the Dynamics of the Spread of Salvo Pollution Complicated by Adsorption S. Travin 10.19261/cjm.2021.920
26. Assessment of indoor HONO formation mechanisms based on in situ measurements and modeling M. Mendez et al. 10.1111/ina.12320
27. 24 h Evolution of an Exceptional HONO Plume Emitted by the Record-Breaking 2019/2020 Australian Wildfire Tracked from Space G. Dufour et al. 10.3390/atmos13091485
28. Ambient air pollution and thyroid function in Spanish adults. A nationwide population-based study (Di@bet.es study) S. Valdés et al. 10.1186/s12940-022-00889-1
29. Multi-pollutant exposure profiles associated with breast cancer risk: A Bayesian profile regression analysis in the French E3N cohort C. Giampiccolo et al. 10.1016/j.envint.2024.108943
30. A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
31. Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX) L. Menut et al. 10.5194/acp-15-7897-2015
32. 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 10.1007/s11356-015-5394-6
33. 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. 10.1289/EHP8419
34. How a European network may help with estimating methane emissions on the French national scale I. Pison et al. 10.5194/acp-18-3779-2018
35. Cleaning up the air: effectiveness of air quality policy for SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions in China R. van der A et al. 10.5194/acp-17-1775-2017
36. Sensitivity of meteorological input and soil properties in simulating aerosols (dust, PM10, and BC) using CHIMERE chemistry transport model N. Srivastava et al. 10.1007/s12040-014-0466-4
37. 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. 10.5194/acp-14-7323-2014
38. 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. 10.3390/atmos10010020
39. Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond 10.1016/j.atmosenv.2021.118832
40. Air pollution modeling and exposure assessment during pregnancy in the French Longitudinal Study of Children (ELFE) E. Riviere et al. 10.1016/j.atmosenv.2019.02.032
41. Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky 10.3389/fenvs.2018.00059
42. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
43. Renewable energy management system for Saudi Arabia: Methodology and preliminary results I. Gherboudj et al. 10.1016/j.rser.2021.111334
44. Ozone and aerosol tropospheric concentrations variability analyzed using the ADRIMED measurements and the WRF and CHIMERE models L. Menut et al. 10.5194/acp-15-6159-2015
45. Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
46. 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. 10.1016/j.scitotenv.2023.167089
47. CHIMBO Air Quality Modeling System: Verification and Processes Analysis T. Landi et al. 10.3390/atmos15111386
48. Metrics of ozone risk assessment for Southern European forests: Canopy moisture content as a potential plant response indicator A. De Marco et al. 10.1016/j.atmosenv.2015.08.071
49. 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. 10.3390/atmos12020239
50. An epidemiological assessment of stomatal ozone flux-based critical levels for visible ozone injury in Southern European forests P. Sicard et al. 10.1016/j.scitotenv.2015.09.113
51. Application of uncertainty and sensitivity analysis to the air quality SHERPA modelling tool E. Pisoni et al. 10.1016/j.atmosenv.2018.04.006
52. On the design and assessment of regional air quality plans: The SHERPA approach P. Thunis et al. 10.1016/j.jenvman.2016.09.049
53. ASIS v1.0: an adaptive solver for the simulation of atmospheric chemistry D. Cariolle et al. 10.5194/gmd-10-1467-2017
54. Modelling street level PM<sub>10</sub> concentrations across Europe: source apportionment and possible futures G. Kiesewetter et al. 10.5194/acp-15-1539-2015
55. NO<sub><i>x</i></sub> emission estimates during the 2014 Youth Olympic Games in Nanjing J. Ding et al. 10.5194/acp-15-9399-2015
56. Smart sampling and incremental function learning for very large high dimensional data D. Loyola R et al. 10.1016/j.neunet.2015.09.001
57. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. 10.5194/gmd-8-2777-2015
58. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. 10.5194/acp-17-8371-2017
59. A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe L. Vitali et al. 10.5194/gmd-16-6029-2023
60. The CHIMERE chemistry-transport model v2023r1 L. Menut et al. 10.5194/gmd-17-5431-2024
61. 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. 10.5194/gmd-17-2471-2024
62. Atmospheric Aerosol Distribution in 2016–2017 over the Eastern European Region Based on the GEOS-Chem Model G. Milinevsky et al. 10.3390/atmos11070722
63. Impact of the New South Wales fires during October 2013 on regional air quality in eastern Australia G. Rea et al. 10.1016/j.atmosenv.2016.01.034
64. Atlas of ozone chemical regimes in Europe E. Real et al. 10.1016/j.atmosenv.2023.120323
65. The role of plant phenology in stomatal ozone flux modeling A. Anav et al. 10.1111/gcb.13823
66. APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016 S. Turquety et al. 10.5194/gmd-13-2981-2020
67. Exploring urban planning as a lever for emission and exposure control: Analysis of master plan actions over greater Paris A. Elessa Etuman et al. 10.1016/j.aeaoa.2024.100250
68. Factors influencing the foliar elemental composition and stoichiometry in forest trees in Spain J. Sardans et al. 10.1016/j.ppees.2016.01.001
69. First Implementation of the WRF-CHIMERE-EDGAR Modeling System Over Argentina M. Ferreyra et al. 10.1109/JSTARS.2016.2588502
70. 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. 10.1016/j.atmosenv.2017.04.038
71. NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
72. Characterizing the regional concentrations and seasonality of the emerging pollutant decamethylcyclopentasiloxane (D5) using a WRF+CHIMERE modeling approach P. Jiménez-Guerrero & N. Ratola 10.1525/elementa.2020.00137
73. Probing into the aging dynamics of biomass burning aerosol by using satellite measurements of aerosol optical depth and carbon monoxide I. Konovalov et al. 10.5194/acp-17-4513-2017
74. Comparing concentration‐based (AOT40) and stomatal uptake (PODY) metrics for ozone risk assessment to European forests A. Anav et al. 10.1111/gcb.13138
75. Exposure of the population of southern France to air pollutants in future climate case studies A. Cholakian et al. 10.1016/j.atmosenv.2021.118689
76. Perturbateurs endocriniens et environnement : quelles données utiliser ? S. Chamot et al. 10.1016/j.admp.2023.101943
77. Subalpine Pyrenees received higher nitrogen deposition than predicted by EMEP and CHIMERE chemistry-transport models M. Boutin et al. 10.1038/srep12942
78. 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. 10.1007/s11869-019-00691-y
79. Detection and emission estimates of NOx sources over China North Plain using OMI observations J. Zhang et al. 10.1080/01431161.2018.1430402
80. Benzo(a)pyrene in Europe: Ambient air concentrations, population exposure and health effects C. Guerreiro et al. 10.1016/j.envpol.2016.04.081
81. The CHIMERE v2020r1 online chemistry-transport model L. Menut et al. 10.5194/gmd-14-6781-2021
82. 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. 10.1016/j.envint.2021.106399
83. 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. 10.1016/j.atmosenv.2017.02.012
84. Urban aerosol assessment and forecast: Coimbra case study O. Tchepel et al. 10.1016/j.apr.2020.04.006
85. CHIMERE-2017: from urban to hemispheric chemistry-transport modeling S. Mailler et al. 10.5194/gmd-10-2397-2017
86. Integrated emission inventory and modeling to assess distribution of particulate matter mass and black carbon composition in Southeast Asia D. Permadi et al. 10.5194/acp-18-2725-2018
87. 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. 10.3390/atmos13020248
88. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. 10.5194/acp-17-3001-2017
89. Can biomonitors effectively detect airborne benzo[<i>a</i>]pyrene? An evaluation approach using modelling N. Ratola & P. Jiménez-Guerrero 10.5194/acp-16-4271-2016
90. 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. 10.5194/acp-20-12063-2020
91. Ozone pollution during the COVID-19 lockdown in the spring of 2020 over Europe, analysed from satellite observations, in situ measurements, and models J. Cuesta et al. 10.5194/acp-22-4471-2022
92. Improving Air Quality Zoning Through Deep Learning and Hyperlocal Measurements E. Fernández et al. 10.1109/ACCESS.2024.3374208
93. Particulate matter air pollution in Europe in a +2 °C warming world G. Lacressonnière et al. 10.1016/j.atmosenv.2017.01.037
94. From emissions to source allocation: Synergies and trade-offs between top-down and bottom-up information L. Sartini et al. 10.1016/j.aeaoa.2020.100088
95. The Future Impact of Shipping Emissions on Air Quality in Europe under Climate Change M. Russo et al. 10.3390/atmos14071126
96. 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. 10.5194/acp-23-3679-2023
97. 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. 10.3390/atmos12121603
98. 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. 10.5194/acp-20-4905-2020
99. Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations R. Wang et al. 10.1002/2015JD024326
100. Five-year volume growth of European beech does not respond to ozone pollution in Italy E. Paoletti et al. 10.1007/s11356-017-9264-2
101. High-resolution air quality modeling: Sensitivity tests to horizontal resolution and urban canopy with WRF-CHIMERE S. Falasca & G. Curci 10.1016/j.atmosenv.2018.05.048
102. Investigating the contribution of sea salt to PM10 concentration values on the coast of Portugal A. Carvalho et al. 10.1007/s11869-021-01049-z
103. 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. 10.1016/j.envint.2021.107030
104. Modelling PM2.5 impact indicators in Europe: Health effects and legal compliance G. Kiesewetter et al. 10.1016/j.envsoft.2015.02.022
105. Development of a Dust Source Map for WRF-Chem Model Based on MODIS NDVI C. Spyrou et al. 10.3390/atmos13060868
106. Improving volcanic sulfur dioxide cloud dispersal forecasts by progressive assimilation of satellite observations M. Boichu et al. 10.1002/2014GL059496
107. 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. 10.5194/gmd-13-5707-2020
108. Atmospheric constraints on the methane emissions from the East Siberian Shelf A. Berchet et al. 10.5194/acp-16-4147-2016
109. Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
110. Effect of vehicle fleet composition and mobility on outdoor population exposure: A street resolution analysis in Paris L. Lugon et al. 10.1016/j.apr.2022.101365
111. Ozone pollution: What can we see from space? A case study G. Foret et al. 10.1002/2013JD021340
112. Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe F. Couvidat et al. 10.5194/gmd-11-165-2018
113. The first 1-year-long estimate of the Paris region fossil fuel CO<sub>2</sub> emissions based on atmospheric inversion J. Staufer et al. 10.5194/acp-16-14703-2016
114. Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4 L. Menut et al. 10.5194/gmd-13-2051-2020
115. Pathways for wintertime deposition of anthropogenic light-absorbing particles on the Central Andes cryosphere R. Lapere et al. 10.1016/j.envpol.2020.115901
116. Analyzing the increasing importance of nitrate in Taiwan from long-term trend of measurements M. Chuang et al. 10.1016/j.atmosenv.2021.118749
117. Estimation of the Paris NO<sub><i>x</i></sub> emissions from mobile MAX-DOAS observations and CHIMERE model simulations during the MEGAPOLI campaign using the closed integral method R. Shaiganfar et al. 10.5194/acp-17-7853-2017
118. 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. 10.5194/gmd-12-4923-2019
119. A local- to national-scale inverse modeling system to assess the potential of spaceborne CO<sub>2</sub> measurements for the monitoring of anthropogenic emissions D. Santaren et al. 10.5194/amt-14-403-2021
120. Long-Term Effect of Outdoor Air Pollution on Mortality and Morbidity: A 12-Year Follow-Up Study for Metropolitan France S. Sanyal et al. 10.3390/ijerph15112487
121. Assessing Douro Vineyards Exposure to Tropospheric Ozone A. Ascenso et al. 10.3390/atmos12020200
122. Thoughts on Earth System Modeling: From global to regional scale E. Canepa & P. Builtjes 10.1016/j.earscirev.2017.06.017
123. Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. 10.1002/2017GL076788
124. Performance assessment of CHIMERE and EURAD-IM’ dust modules C. Gama et al. 10.1016/j.apr.2019.03.005
125. The Nutrition in Early Life and Asthma (NELA) birth cohort study: Rationale, design, and methods E. Morales et al. 10.1111/ppe.12826
126. 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. 10.5194/acp-16-12667-2016
127. 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. 10.5194/acp-22-13861-2022
128. Evaluating BC and NO<sub><i>x</i></sub> emission inventories for the Paris region from MEGAPOLI aircraft measurements H. Petetin et al. 10.5194/acp-15-9799-2015
129. Impact of residential combustion and transport emissions on air pollution in Santiago during winter A. Mazzeo et al. 10.1016/j.atmosenv.2018.06.043
130. Black carbon health impacts in the Indo-Gangetic plain: Exposures, risks, and mitigation S. Verma et al. 10.1126/sciadv.abo4093
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132. Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al. 10.3390/rs12213575
133. 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. 10.1016/j.atmosenv.2016.11.042
134. Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
135. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. 10.5194/amt-16-1745-2023
136. Can further mitigation of ammonia emissions reduce exceedances of particulate matter air quality standards? B. Bessagnet et al. 10.1016/j.envsci.2014.07.011
137. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
138. Model Analysis of Origination of Semidirect Radiative Effect of Siberian Biomass Burning Aerosol in the Arctic I. Konovalov & N. Golovushkin 10.1134/S1024856024700477
139. Meteorological export and deposition fluxes of black carbon on glaciers of the central Chilean Andes R. Lapere et al. 10.5194/acp-23-1749-2023
140. Cardiac dyspnea risk zones in the South of France identified by geo-pollution trends study F. Simões et al. 10.1038/s41598-022-05827-2
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142. Simulation of aerosol deposition flux over the Arabian Peninsula with CHIMERE-2017: Sensitivity to different dry deposition schemes S. Beegum et al. 10.1016/j.atmosres.2020.104949
143. Soccer games and record-breaking PM<sub>2.5</sub> pollution events in Santiago, Chile R. Lapere et al. 10.5194/acp-20-4681-2020
144. Climate-forced air-quality modeling at the urban scale: sensitivity to model resolution, emissions and meteorology K. Markakis et al. 10.5194/acp-15-7703-2015
145. 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. 10.3390/atmos14010154
146. 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. 10.5194/acp-24-4635-2024
147. Spatial Representativeness Error in the Ground‐Level Observation Networks for Black Carbon Radiation Absorption R. Wang et al. 10.1002/2017GL076817
148. Sequence-oriented sensitive analysis for PM2.5 exposure and risk assessment using interactive process mining E. Illueca Fernández et al. 10.1371/journal.pone.0290372
149. Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate <i>δ</i><sup>13</sup>C(CH<sub>4</sub>) and CH<sub>4</sub>: a case study with model LMDz-SACS J. Thanwerdas et al. 10.5194/gmd-15-4831-2022
150. Towards air quality modeling in Agadir City (Morocco) A. Ajdour et al. 10.1016/j.matpr.2019.07.438
151. Box modelling of gas-phase atmospheric iodine chemical reactivity in case of a nuclear accident C. Fortin et al. 10.1016/j.atmosenv.2019.116838
152. Role of ecosystem-atmosphere exchanges of semi-volatile organic compounds in organic aerosol formation F. Couvidat & B. Bessagnet 10.1016/j.atmosenv.2021.118541
153. The role of vertical grid resolution and turbulent diffusion uncertainty on chemical transport modeling L. Jiang et al. 10.1016/j.atmosres.2024.107759
154. Nitrogen deposition in Spain: Modeled patterns and threatened habitats within the Natura 2000 network H. García-Gómez et al. 10.1016/j.scitotenv.2014.03.112
155. Nonlinear behavior of organic aerosol in biomass burning plumes: a microphysical model analysis I. Konovalov et al. 10.5194/acp-19-12091-2019
156. Lower tropospheric ozone over the North China Plain: variability and trends revealed by IASI satellite observations for 2008–2016 G. Dufour et al. 10.5194/acp-18-16439-2018
157. 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. 10.1029/2020GL092206
158. Source contributions to 2012 summertime aerosols in the Euro-Mediterranean region G. Rea et al. 10.5194/acp-15-8013-2015
159. Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. 10.1080/16000889.2020.1823733
160. 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. 10.5194/acp-15-6775-2015
161. Toward Emulating an Explicit Organic Chemistry Mechanism With Random Forest Models C. Mouchel‐Vallon & A. Hodzic 10.1029/2022JD038227
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163. Modelling Hourly Particulate Matter (PM10) Concentrations at High Spatial Resolution in Germany Using Land Use Regression and Open Data S. Wallek et al. 10.3390/atmos13081282
164. Biogenic secondary organic aerosol sensitivity to organic aerosol simulation schemes in climate projections A. Cholakian et al. 10.5194/acp-19-13209-2019
165. Growing season extension affects ozone uptake by European forests A. Anav et al. 10.1016/j.scitotenv.2019.03.020
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167. Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France D. Joly et al. 10.1007/s00704-020-03418-7
168. Sensitivity of low-level clouds and precipitation to anthropogenic aerosol emission in southern West Africa: a DACCIWA case study A. Deroubaix et al. 10.5194/acp-22-3251-2022
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170. What Are the Sectors Contributing to the Exceedance of European Air Quality Standards over the Iberian Peninsula? A Source Contribution Analysis P. Jiménez-Guerrero 10.3390/su14052759
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184. Trends and inter-relationships of ground-level ozone metrics and forest health in Lithuania V. Araminienė et al. 10.1016/j.scitotenv.2018.12.092
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187. Effects of climate change and seed dispersal on airborne ragweed pollen loads in Europe L. Hamaoui-Laguel et al. 10.1038/nclimate2652
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195. Are Grimmia Mosses Good Biomonitors for Urban Atmospheric Metallic Pollution? Preliminary Evidence from a French Case Study on Cadmium B. Vieille et al. 10.3390/atmos12040491
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207. 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. 10.1016/j.envsoft.2019.02.017
208. 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. 10.3390/atmos11020134
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210. A Development of Air Quality Forecasting System with Data Assimilation using Surface Measurements in East Asia D. Choi et al. 10.5572/KOSAE.2019.35.1.060
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213. Coupling European data and local air pollution models for integrated assessment C. Carnevale et al. 10.1016/j.ifacol.2018.06.212
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218. Evaluation of receptor and chemical transport models for PM10 source apportionment C. Belis et al. 10.1016/j.aeaoa.2019.100053
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222. Assessment of the Effects of the Spanish National Air Pollution Control Programme on Air Quality M. Vivanco et al. 10.3390/atmos12020158
223. In situ formation and spatial variability of particle number concentration in a European megacity M. Pikridas et al. 10.5194/acp-15-10219-2015
224. Human exposure to carcinogens in ambient air in Denmark, Finland and Sweden P. Fauser et al. 10.1016/j.atmosenv.2017.08.033
225. 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. 10.5194/gmd-12-4603-2019
226. Modelling NO<sub>2</sub> concentrations at the street level in the GAINS integrated assessment model: projections under current legislation G. Kiesewetter et al. 10.5194/acp-14-813-2014
227. Effect of photochemical self-action of carbon-containing aerosol: Wildfires I. Konovalov et al. 10.1134/S0001433816030063
228. Method for Experimental Data Processing Concerning Chemical Reaction Rates in Low-Atomic Gases A. Belov & N. Kalitkin 10.1134/S0965542520070040
229. Measurements and modeling of surface–atmosphere exchange of microorganisms in Mediterranean grassland F. Carotenuto et al. 10.5194/acp-17-14919-2017
230. Combined field/modelling approaches to represent the air-vegetation distribution of benzo[a]pyrene using different vegetation species N. Ratola & P. Jiménez-Guerrero 10.1016/j.atmosenv.2015.01.063
231. Variability of the elemental composition of airborne mineral dust along the coast of Central Tunisia M. Saad et al. 10.1016/j.atmosres.2018.04.001
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233. Dry deposition of reactive nitrogen to different ecosystems across eastern China: A comparison of three community models M. Chang et al. 10.1016/j.scitotenv.2020.137548
234. Using ship-borne observations of methane isotopic ratio in the Arctic Ocean to understand methane sources in the Arctic A. Berchet et al. 10.5194/acp-20-3987-2020
235. Air Quality Degradation by Mineral Dust over Beijing, Chengdu and Shanghai Chinese Megacities M. Lachatre et al. 10.3390/atmos11070708
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237. Dealing with non-stationarity through explanatory variables in kriging-based air quality maps M. Beauchamp et al. 10.1016/j.spasta.2017.08.003
238. NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. 10.1029/2020GL089912
239. Modeling of Mineral Dust Emissions with a Weibull Wind Speed Distribution Including Subgrid-Scale Orography Variance L. Menut 10.1175/JTECH-D-17-0173.1
240. 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. 10.5194/acp-18-15743-2018
241. Multiple xenoestrogen air pollutants and breast cancer risk: Statistical approaches to investigate combined exposures effect A. Amadou et al. 10.1016/j.envpol.2024.124043
242. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
243. Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework E. Solazzo et al. 10.5194/acp-17-10435-2017
244. PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. 10.1016/j.atmosenv.2018.05.062
245. Unaccounted variability in NH3 agricultural sources detected by IASI contributing to European spring haze episode A. Fortems‐Cheiney et al. 10.1002/2016GL069361
246. Simulating the pollutant dispersion during persistent Wintertime thermal Inversions over urban areas. The case of Madrid A. Martilli et al. 10.1016/j.atmosres.2022.106058
247. What is the relative impact of nudging and online coupling on meteorological variables, pollutant concentrations and aerosol optical properties? L. Menut et al. 10.5194/gmd-17-3645-2024
248. Future climatic drivers and their effect on PM<sub>10</sub> components in Europe and the Mediterranean Sea A. Cholakian et al. 10.5194/acp-19-4459-2019
249. Modeling Surface Air Pollution with Reduced Emissions during the COVID-19 Pandemic Using CHIMERE and COSMO-ART Chemical Transport Models I. Kuznetsova et al. 10.3103/S1068373922030025
250. Impacts of regional climate change on air quality projections and associated uncertainties G. Lacressonnière et al. 10.1007/s10584-016-1619-z
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252. How important are maritime emissions for the air quality: At European and national scale A. Monteiro et al. 10.1016/j.envpol.2018.07.011
253. What Can We Expect from Data Assimilation for Air Quality Forecast? Part I: Quantification with Academic Test Cases L. Menut & B. Bessagnet 10.1175/JTECH-D-18-0002.1
254. Estimating emissions from tourism activities M. Russo et al. 10.1016/j.atmosenv.2019.117048
255. Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area C. Viatte et al. 10.5194/acp-20-577-2020
256. Representing Organic Compound Oxidation in Chemical Mechanisms for Policy-Relevant Air Quality Models under Background Troposphere Conditions R. Derwent 10.3390/atmos11020171
257. Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China J. Lu et al. 10.5194/acp-23-8021-2023
258. Association between long term exposure to particulate matter and incident hypertension in Spain V. Doulatram-Gamgaram et al. 10.1038/s41598-021-99154-7
259. What would dense atmospheric observation networks bring to the quantification of city CO<sub>2</sub> emissions? L. Wu et al. 10.5194/acp-16-7743-2016
260. Exposure to ambient black carbon derived from a unique inventory and high-resolution model R. Wang et al. 10.1073/pnas.1318763111
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262. What Can We Expect from Data Assimilation for Air Quality Forecast? Part II: Analysis with a Semi-Real Case B. Bessagnet et al. 10.1175/JTECH-D-18-0117.1
263. Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction I. Mokhtari et al. 10.1109/ACCESS.2021.3052429
264. 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. 10.5194/acp-22-15489-2022
265. Modeling exposure to airborne metals using moss biomonitoring in cemeteries in two urban areas around Paris and Lyon in France E. Lequy et al. 10.1016/j.envpol.2022.119097
266. Comparison of tropospheric NO<sub>2</sub> columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
267. Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model B. Denby et al. 10.5194/gmd-13-6303-2020
268. Enhancing air pollution prediction: A neural transfer learning approach across different air pollutants I. Jairi et al. 10.1016/j.eti.2024.103793
269. 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. 10.5194/gmd-12-33-2019
270. 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. 10.1016/j.apr.2020.11.005
271. Dust Characterization and Its Potential Impact during the 2014–2015 Fogo Volcano Eruption (Cape Verde) C. Candeias et al. 10.3390/min11111275
272. 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. 10.5194/acp-16-1219-2016
273. Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations F. Lemmouchi et al. 10.3390/rs15061510
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275. Multi-level policies for air quality: implications of national and sub-national emission reductions on population exposure E. Peduzzi et al. 10.1007/s11869-018-0613-1
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278. Seasonal variation in atmospheric pollutants transport in central Chile: dynamics and consequences R. Lapere et al. 10.5194/acp-21-6431-2021
279. Towards an agent based traffic regulation and recommendation system for the on-road air quality control A. Sadiq et al. 10.1186/s40064-016-3282-2
280. Interactions of atmospheric gases and aerosols with the monsoon dynamics over the Sudano-Guinean region during AMMA A. Deroubaix et al. 10.5194/acp-18-445-2018
281. High-resolution air quality simulation over Europe with the chemistry transport model CHIMERE E. Terrenoire et al. 10.5194/gmd-8-21-2015
282. 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. 10.1016/j.atmosenv.2023.119910
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284. Nonstationary modeling of NO<sub>2</sub>, NO and NO<sub><i>x</i></sub> in Paris using the Street-in-Grid model: coupling local and regional scales with a two-way dynamic approach L. Lugon et al. 10.5194/acp-20-7717-2020
285. Using Objective Analysis for the Assimilation of Satellite-Derived Aerosol Products to Improve PM2.5 Predictions over Europe M. Chrit & M. Majdi 10.3390/atmos13050763
286. Impact of parameterization choices on the restitution of ozone deposition over vegetation A. Le Morvan-Quéméner et al. 10.1016/j.atmosenv.2018.01.003
287. The consolidated European synthesis of CO2emissions and removals for the European Union and United Kingdom: 1990–2020 M. McGrath et al. 10.5194/essd-15-4295-2023
288. 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. 10.1016/j.atmosres.2022.106394
289. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
290. Understanding the Simulated Ammonia Increasing Trend from 2008 to 2015 over Europe with CHIMERE and Comparison with IASI Observations A. Fortems-Cheiney et al. 10.3390/atmos13071101
291. Benefit Analysis of the 1st Spanish Air Pollution Control Programme on Health Impacts and Associated Externalities A. Gamarra et al. 10.3390/atmos12010032
292. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
293. Moving towards ambitious climate policies: Monetised health benefits from improved air quality could offset mitigation costs in Europe S. Schucht et al. 10.1016/j.envsci.2015.03.001
294. Atmospheric emission of NO from mining explosives: A critical review I. Oluwoye et al. 10.1016/j.atmosenv.2017.08.006
295. 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. 10.1007/s11869-023-01482-2
296. The unintended consequence of SO<sub>2</sub> and NO<sub>2</sub> regulations over China: increase of ammonia levels and impact on PM<sub>2.5</sub> concentrations M. Lachatre et al. 10.5194/acp-19-6701-2019
297. Assessing the Robustness of Ozone Chemical Regimes to Chemistry-Transport Model Configurations E. Real et al. 10.3390/atmos15050532
298. Space-based NO<sub><i>x</i></sub> emission estimates over remote regions improved in DECSO J. Ding et al. 10.5194/amt-10-925-2017
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300. Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe V. Lemaire et al. 10.5194/acp-16-2559-2016
301. Trends in tropospheric ozone concentrations and forest impact metrics in Europe over the time period 2000–2014 C. Proietti et al. 10.1007/s11676-020-01226-3
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303. A necessary distinction between spatial representativeness of an air quality monitoring station and the delimitation of exceedance areas M. Beauchamp et al. 10.1007/s10661-018-6788-y
304. An additive geostatistical model for mixing total and partial PM10 observations with CHIMERE rCTM M. Beauchamp et al. 10.1016/j.atmosenv.2018.06.035
305. Which decreases in air pollution should be targeted to bring health and economic benefits and improve environmental justice? X. Morelli et al. 10.1016/j.envint.2019.04.077
306. 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. 10.5194/amt-15-5261-2022
307. 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. 10.1186/s12931-023-02463-w
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310. Fine Particulate Matter Related to Multiple Sclerosis Relapse in Young Patients E. Januel et al. 10.3389/fneur.2021.651084
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312. Sequential aggregation of heterogeneous experts for PM10 forecasting B. Auder et al. 10.1016/j.apr.2016.06.013
313. 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. 10.5194/acp-21-7671-2021
314. The impact of meteorological forcings on gas phase air pollutants over Europe L. Watson et al. 10.1016/j.atmosenv.2015.07.037
315. 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 10.1016/j.atmosenv.2018.03.061
316. Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013 J. Guth et al. 10.5194/acp-18-4911-2018
317. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
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319. Downscaling of air pollutants in Europe using uEMEP_v6 Q. Mu et al. 10.5194/gmd-15-449-2022
320. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
321. Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion A. Berchet et al. 10.5194/bg-12-5393-2015
322. Air pollution from traffic during pregnancy impairs newborn's cord blood immune cells: The NELA cohort A. García-Serna et al. 10.1016/j.envres.2020.110468
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325. 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. 10.3390/atmos12030344
326. Estimation of the Elemental to Organic Carbon Ratio in Biomass Burning Aerosol Using AERONET Retrievals I. Konovalov et al. 10.3390/atmos8070122
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331. Long-term health impact assessment of total PM2.5 in Europe during the 1990–2015 period G. Ciarelli et al. 10.1016/j.aeaoa.2019.100032
332. 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. 10.5194/acp-15-13269-2015
333. Why is the city's responsibility for its air pollution often underestimated? A focus on PM<sub>2.5</sub> P. Thunis et al. 10.5194/acp-21-18195-2021
334. 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 10.3390/urbansci2010018
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