65 citations as recorded by crossref.

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3. 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
4. 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
5. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer P. Monks et al. 10.5194/acp-15-8889-2015
6. 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
7. 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
8. 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
9. Webcrawling and machine learning as a new approach for the spatial distribution of atmospheric emissions S. Lopez-Aparicio et al. 10.1371/journal.pone.0200650
10. 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
11. 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
12. CHIMERE-2017: from urban to hemispheric chemistry-transport modeling S. Mailler et al. 10.5194/gmd-10-2397-2017
13. 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
14. Comparing concentration‐based (AOT40) and stomatal uptake (PODY) metrics for ozone risk assessment to European forests A. Anav et al. 10.1111/gcb.13138
15. Beyond the map: evidencing the spatial dimension of health inequalities Y. Fayet et al. 10.1186/s12942-020-00242-0
16. Evaluation of high-resolution GRAMM–GRAL (v15.12/v14.8) NO<sub><i>x</i></sub> simulations over the city of Zürich, Switzerland A. Berchet et al. 10.5194/gmd-10-3441-2017
17. High resolution temporal profiles in the Emissions Database for Global Atmospheric Research M. Crippa et al. 10.1038/s41597-020-0462-2
18. Design and implementation of a new module to evaluate the cost of air pollutant abatement measures B. Bessagnet et al. 10.1016/j.jenvman.2022.115486
19. 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
20. 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
21. An evaluation of European nitrogen and sulfur wet deposition and their trends estimated by six chemistry transport models for the period 1990–2010 M. Theobald et al. 10.5194/acp-19-379-2019
22. Conditions for a Meaningful Health Impact Assessment for Local Stakeholders: The Example of the Arve Valley in France M. Pascal et al. 10.3390/atmos11060566
23. Adding spatial flexibility to source-receptor relationships for air quality modeling E. Pisoni et al. 10.1016/j.envsoft.2017.01.001
24. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
25. Source-sector contributions to European ozone and fine PM in 2010 using AQMEII modeling data P. Karamchandani et al. 10.5194/acp-17-5643-2017
26. Modeling particulate nitrate in China: Current findings and future directions X. Xie et al. 10.1016/j.envint.2022.107369
27. Ozone air quality simulations with WRF-Chem (v3.5.1) over Europe: model evaluation and chemical mechanism comparison K. Mar et al. 10.5194/gmd-9-3699-2016
28. The MetVed model: development and evaluation of emissions from residential wood combustion at high spatio-temporal resolution in Norway H. Grythe et al. 10.5194/acp-19-10217-2019
29. Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
30. An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season S. Brands et al. 10.5194/gmd-13-3947-2020
31. A first annual assessment of air quality modeling over Lebanon using WRF/Polyphemus C. Abdallah et al. 10.1016/j.apr.2018.01.003
32. 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
33. Eurodelta multi-model simulated and observed particulate matter trends in Europe in the period of 1990–2010 S. Tsyro et al. 10.5194/acp-22-7207-2022
34. Atlas of ozone chemical regimes in Europe E. Real et al. 10.1016/j.atmosenv.2023.120323
35. A simple and fast method to downscale chemistry transport model output fields from the regional to the urban/district scale B. Bessagnet et al. 10.1016/j.envsoft.2023.105692
36. Prioritising the sources of pollution in European cities: do air quality modelling applications provide consistent responses? B. Degraeuwe et al. 10.5194/gmd-13-5725-2020
37. 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
38. Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling M. Guevara et al. 10.5194/essd-13-367-2021
39. Spatial inter-comparison of Top-down emission inventories in European urban areas M. Trombetti et al. 10.1016/j.atmosenv.2017.10.032
40. Emission of intermediate, semi and low volatile organic compounds from traffic and their impact on secondary organic aerosol concentrations over Greater Paris K. Sartelet et al. 10.1016/j.atmosenv.2018.02.031
41. Observational assessment of the role of nocturnal residual-layer chemistry in determining daytime surface particulate nitrate concentrations G. Prabhakar et al. 10.5194/acp-17-14747-2017
42. 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
43. Sensitivity of stomatal conductance to soil moisture: implications for tropospheric ozone A. Anav et al. 10.5194/acp-18-5747-2018
44. 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
45. Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
46. 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
47. Multidecadal increases in global tropospheric ozone derived from ozonesonde and surface site observations: can models reproduce ozone trends? A. Christiansen et al. 10.5194/acp-22-14751-2022
48. Performance of European chemistry transport models as function of horizontal resolution M. Schaap et al. 10.1016/j.atmosenv.2015.04.003
49. PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. 10.1016/j.atmosenv.2018.05.062
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. Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system Y. Yan et al. 10.5194/acp-16-2381-2016
52. European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
53. Assessment of discrepancies between bottom-up and regional emission inventories in Norwegian urban areas S. López-Aparicio et al. 10.1016/j.atmosenv.2017.02.004
54. Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources L. Bartík et al. 10.5194/acp-24-4347-2024
55. Application of uncertainty and sensitivity analysis to the air quality SHERPA modelling tool E. Pisoni et al. 10.1016/j.atmosenv.2018.04.006
56. 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
57. On the design and assessment of regional air quality plans: The SHERPA approach P. Thunis et al. 10.1016/j.jenvman.2016.09.049
58. Optimizing a dynamic fossil fuel CO<sub>2</sub> emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO<sub>2</sub>, CO, NO<sub><i>x</i></sub>, and SO<sub>2</sub> I. Super et al. 10.5194/gmd-13-2695-2020
59. Top–down quantification of NO<sub><i>x</i></sub> emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model F. Kuik et al. 10.5194/acp-18-8203-2018
60. Preliminary Tests on the Sensitivity of the FORAIR_IT Air Quality Forecasting System to Different Meteorological Drivers M. Adani et al. 10.3390/atmos11060574
61. The role of plant phenology in stomatal ozone flux modeling A. Anav et al. 10.1111/gcb.13823
62. State of the Art Emission Inventory and Their Application: Literature review P. Lavrič et al. 10.2478/ijser-2022-0004
63. 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
64. Frontiers in air quality modelling A. Colette et al. 10.5194/gmd-7-203-2014
65. Exploring trade-offs between air pollutants through an Integrated Assessment Model C. Carnevale et al. 10.1016/j.scitotenv.2014.02.016