51 citations as recorded by crossref.

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2. The Impact of High-Resolution SRTM Topography and Corine Land Cover on Lightning Calculations in WRF A. de Meij et al. 10.3390/atmos13071050
3. The effect of SRTM and Corine Land Cover data on calculated gas and PM10 concentrations in WRF-Chem A. De Meij et al. 10.1016/j.atmosenv.2014.11.033
4. Impact of SRTM and Corine Land Cover data on meteorological parameters using WRF A. De Meij & J. Vinuesa 10.1016/j.atmosres.2014.03.004
5. Simulation of the size-composition distribution of atmospheric nanoparticles over Europe D. Patoulias et al. 10.5194/acp-18-13639-2018
6. Recent developments in high-resolution wind field modeling in complex terrain for dispersion simulations using GRAMM-SCI D. Oettl & R. Reifeltshammer 10.1007/s11869-023-01403-3
7. EMAC model evaluation and analysis of atmospheric aerosol properties and distribution with a focus on the Mediterranean region A. de Meij et al. 10.1016/j.atmosres.2012.05.014
8. CHIMERE 2013: a model for regional atmospheric composition modelling L. Menut et al. 10.5194/gmd-6-981-2013
9. Importance of Ship Emissions to Local Summertime Ozone Production in the Mediterranean Marine Boundary Layer: A Modeling Study C. Gencarelli et al. 10.3390/atmos5040937
10. Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
11. Simulation of size-segregated aerosol chemical composition over northern Italy in clear sky and wind calm conditions T. Landi et al. 10.1016/j.atmosres.2013.01.009
12. Evaluation of the meteorological forcing used for the Air Quality Model Evaluation International Initiative (AQMEII) air quality simulations R. Vautard et al. 10.1016/j.atmosenv.2011.10.065
13. Evaluation of regional climate simulations for air quality modelling purposes L. Menut et al. 10.1007/s00382-012-1345-9
14. Impact of SOx, NOx and NH3 emission reductions on PM2.5 concentrations across Europe: Hints for future measure development A. Clappier et al. 10.1016/j.envint.2021.106699
15. 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
16. Sensitivity of air quality model responses to emission changes: comparison of results based on four EU inventories through FAIRMODE benchmarking methodology A. de Meij et al. 10.5194/gmd-17-587-2024
17. Impact of chemical and meteorological boundary and initial conditions on air quality modeling: WRF-Chem sensitivity evaluation for a European domain M. Ritter et al. 10.1007/s00703-012-0222-8
18. POMI: a model inter-comparison exercise over the Po Valley D. Pernigotti et al. 10.1007/s11869-013-0211-1
19. A comparative study of mesoscale flow-field modelling in an Eastern Alpine region using WRF and GRAMM-SCI D. Oettl & G. Veratti 10.1016/j.atmosres.2020.105288
20. Simulation of the effects of low-volatility organic compounds on aerosol number concentrations in Europe D. Patoulias & S. Pandis 10.5194/acp-22-1689-2022
21. Assessing the role of soil water limitation in determining the Phytotoxic Ozone Dose (PODY) thresholds A. De Marco et al. 10.1016/j.atmosenv.2016.09.066
22. Bridging the scales in a eulerian air quality model to assess megacity export of pollution G. Siour et al. 10.1016/j.envsoft.2013.04.001
23. Influence of an urban canopy model and PBL schemes on vertical mixing for air quality modeling over Greater Paris Y. Kim et al. 10.1016/j.atmosenv.2015.02.011
24. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
25. Simulations over South Asia using the Weather Research and Forecasting model with Chemistry (WRF-Chem): set-up and meteorological evaluation R. Kumar et al. 10.5194/gmd-5-321-2012
26. Response of fine particulate matter concentrations to changes of emissions and temperature in Europe A. Megaritis et al. 10.5194/acp-13-3423-2013
27. 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
28. Comparative evaluation of the impact of GRAPES and MM5 meteorology on CMAQ prediction over Pearl River Delta, China T. Deng et al. 10.1016/j.partic.2017.10.005
29. Assessment of the AMS-MINNI system capabilities to simulate air quality over Italy for the calendar year 2005 M. Mircea et al. 10.1016/j.atmosenv.2013.11.006
30. Association of modeled PM2.5 with aerosol optical depth: model versus satellite N. Srivastava 10.1007/s11069-019-03590-8
31. 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
32. The Analysis of the Relationship between Air Pollution and Meterological Factors in Deyang Area 维. 赖 10.12677/AEP.2022.124105
33. Evaluating aerosol optical properties observed by ground-based and satellite remote sensing over the Mediterranean and the Middle East in 2006 A. de Meij & J. Lelieveld 10.1016/j.atmosres.2010.11.005
34. Nudging technique for scale bridging in air quality/climate atmospheric composition modelling A. Maurizi et al. 10.5194/acp-12-3677-2012
35. Performance and evaluation of a coupled prognostic model TAPM over a mountainous complex terrain industrial area V. Matthaios et al. 10.1007/s00704-017-2122-9
36. A WRF/Chem sensitivity study using ensemble modelling for a high ozone episode in Slovenia and the Northern Adriatic area R. Žabkar et al. 10.1016/j.atmosenv.2013.05.065
37. A new hybrid models based on the neural network and discrete wavelet transform to identify the CHIMERE model limitation A. Ajdour et al. 10.1007/s11356-022-23084-8
38. 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
39. Comparing concentration‐based (AOT40) and stomatal uptake (PODY) metrics for ozone risk assessment to European forests A. Anav et al. 10.1111/gcb.13138
40. Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters J. Kleine Deters et al. 10.1155/2017/5106045
41. 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
42. Low modeled ozone production suggests underestimation of precursor emissions (especially NO<sub><i>x</i></sub>) in Europe E. Oikonomakis et al. 10.5194/acp-18-2175-2018
43. Evaluation of MM5, WRF and TRAMPER meteorology over the complex terrain of the Po Valley, Italy A. Gsella et al. 10.1016/j.atmosenv.2014.03.019
44. Influences of updated land-use datasets on WRF simulations for two Austrian regions I. Schicker et al. 10.1007/s00703-015-0416-y
45. Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond 10.1016/j.atmosenv.2021.118832
46. A multi-pollutant and multi-sectorial approach to screening the consistency of emission inventories P. Thunis et al. 10.5194/gmd-15-5271-2022
47. Coupling of Important Physical Processes in the Planetary Boundary Layer between Meteorological and Chemistry Models for Regional to Continental Scale Air Quality Forecasting: An Overview P. Lee & F. Ngan 10.3390/atmos2030464
48. WRF ARW and CHIMERE models for numerical forecasting of surface ozone concentration R. Zaripov et al. 10.3103/S1068373911040054
49. Modeling the concentration of pollutants using the WRF-ARW atmospheric model and CHIMERE chemistry transport model R. Zaripov et al. 10.3103/S1068373913120042
50. Air quality simulations for North America - MM5–CAMx modelling performance for main gaseous pollutants J. Ferreira et al. 10.1016/j.atmosenv.2011.10.020
51. Assessment of the Weather Research and Forecasting model implementation in Cuba addressed to diagnostic air quality modeling L. Carbonell et al. 10.5094/APR.2013.007