53 citations as recorded by crossref.

1. Source apportionment of PM2.5 across China using LOTOS-EUROS R. Timmermans et al. 10.1016/j.atmosenv.2017.06.003
2. Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
3. Synergistic use of OMI NO2 tropospheric columns and LOTOS–EUROS to evaluate the NOx emission trends across Europe R. Curier et al. 10.1016/j.rse.2014.03.032
4. Source apportionment to support air quality planning: Strengths and weaknesses of existing approaches P. Thunis et al. 10.1016/j.envint.2019.05.019
5. Modeling atmospheric ammonia using agricultural emissions with improved spatial variability and temporal dynamics X. Ge et al. 10.5194/acp-20-16055-2020
6. Ammonia emission time profiles based on manure transport data improve ammonia modelling across north western Europe C. Hendriks et al. 10.1016/j.atmosenv.2016.01.043
7. A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. 10.5194/acp-23-10163-2023
8. 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
9. 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
10. A shift in emission time profiles of fossil fuel combustion due to energy transitions impacts source receptor matrices for air quality C. Hendriks et al. 10.1039/C4EM00444B
11. Source apportionment of atmospheric PM10 oxidative potential: synthesis of 15 year-round urban datasets in France S. Weber et al. 10.5194/acp-21-11353-2021
12. Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. 10.1016/j.scitotenv.2021.151757
13. Background Influence of PM2.5 in Dallas–Fort Worth Area and Recommendations for Source Apportionment A. Shapero et al. 10.3390/air1040019
14. Numerical study of air pollution over a typical basin topography: Source appointment of fine particulate matter during one severe haze in the megacity Xi'an X. Yang et al. 10.1016/j.scitotenv.2019.135213
15. Source Apportionment and Data Assimilation in Urban Air Quality Modelling for NO2: The Lyon Case Study C. Nguyen et al. 10.3390/atmos9010008
16. Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting M. Pang et al. 10.5194/gmd-17-8223-2024
17. The impact of shipping on the air quality in European port cities with a detailed analysis for Rotterdam J. Tokaya et al. 10.1016/j.aeaoa.2024.100278
18. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model A. Manders et al. 10.5194/gmd-10-4145-2017
19. A multi-meteorological comparison for episodes of PM10 concentrations in the Berlin agglomeration area in Germany with the LOTOS-EUROS CTM M. Thürkow et al. 10.1016/j.atmosenv.2020.117946
20. Emission factors of PM2.5-Bounded selected metals, organic carbon, elemental carbon, and water-soluble ionic species emitted from combustions of biomass materials for source Apportionment—A new database for 17 plant species S. Pongpiachan et al. 10.1016/j.apr.2022.101453
21. Source apportionment of air pollution in urban areas: a review of the most suitable source-oriented models S. Coelho et al. 10.1007/s11869-023-01334-z
22. The impact of temporal variability in prior emissions on the optimization of urban anthropogenic emissions of CO2, CH4 and CO using in-situ observations I. Super et al. 10.1016/j.aeaoa.2021.100119
23. Long-range and local air pollution: what can we learn from chemical speciation of particulate matter at paired sites? M. Pandolfi et al. 10.5194/acp-20-409-2020
24. 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
25. Prediction of source contributions to urban background PM10 concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions M. Pommier et al. 10.5194/gmd-13-1787-2020
26. Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
27. Evaluation of modelled LOTOS-EUROS with observational based PM10 source attribution R. Timmermans et al. 10.1016/j.aeaoa.2022.100173
28. The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
29. Variability of black carbon aerosol concentrations and sources at a Mediterranean coastal region A. Milinković et al. 10.1016/j.apr.2021.101221
30. Combined Brute Force method for source apportionment purposes T. Šedivá & D. Štefánik 10.1016/j.apr.2024.102394
31. The influence of dust on extreme precipitation at a large city in North China T. Feng et al. 10.1016/j.scitotenv.2023.165890
32. Source attribution of nitrogen oxides across Germany: Comparing the labelling approach and brute force technique with LOTOS-EUROS M. Thürkow et al. 10.1016/j.atmosenv.2022.119412
33. Evaluation of receptor and chemical transport models for PM10 source apportionment C. Belis et al. 10.1016/j.aeaoa.2019.100053
34. Sensitivity of air pollution simulations with LOTOS-EUROS to the temporal distribution of anthropogenic emissions A. Mues et al. 10.5194/acp-14-939-2014
35. Evaluation of the performance of different atmospheric chemical transport models and inter-comparison of nitrogen and sulphur deposition estimates for the UK A. Dore et al. 10.1016/j.atmosenv.2015.08.008
36. A global review of the state of the evidence of household air pollution's contribution to ambient fine particulate matter and their related health impacts S. Chowdhury et al. 10.1016/j.envint.2023.107835
37. Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33) P. Wind et al. 10.5194/gmd-13-1623-2020
38. Dynamic model evaluation for secondary inorganic aerosol and its precursors over Europe between 1990 and 2009 S. Banzhaf et al. 10.5194/gmd-8-1047-2015
39. Why is the city's responsibility for its air pollution often underestimated? A focus on PM2.5 P. Thunis et al. 10.5194/acp-21-18195-2021
40. Comparison of modelled and experimental PM10 source contributions for mapping source-specific oxidative potential F. Pekel et al. 10.1016/j.aeaoa.2025.100339
41. High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling E. van der Swaluw et al. 10.1016/j.atmosenv.2017.02.009
42. A multi-method assessment of the regional sensitivities between flight altitude and short-term O3 climate warming from aircraft NO x emissions J. Maruhashi et al. 10.1088/1748-9326/ad376a
43. Sources of air pollution-related health impacts and benefits of radially applied transportation policies in 14 US cities M. Nawaz et al. 10.3389/frsc.2023.1102493
44. Implementation of an On-Line Reactive Source Apportionment (ORSA) Algorithm in the FARM Chemical-Transport Model and Application over Multiple Domains in Italy G. Calori et al. 10.3390/atmos15020191
45. Emissions and Possible Environmental Implication of Engineered Nanomaterials (ENMs) in the Atmosphere A. John et al. 10.3390/atmos8050084
46. PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. 10.1016/j.atmosenv.2018.05.062
47. Use of the Copernicus Atmosphere Monitoring Service policy products to evaluate the contribution of EU cities to their pollution E. Pisoni et al. 10.1016/j.aeaoa.2022.100194
48. Assessing the Sensitivity of the OMI-NO2 Product to Emission Changes across Europe M. Schaap et al. 10.3390/rs5094187
49. Exploring the impact of livestock on air quality: A deep dive into Ammonia and particulate matter in Lombardy J. Lunghi et al. 10.1016/j.eiar.2024.107456
50. Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter M. Pang et al. 10.1016/j.atmosenv.2023.119831
51. 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
52. Source apportionment and sensitivity analysis: two methodologies with two different purposes A. Clappier et al. 10.5194/gmd-10-4245-2017
53. The origin of ambient particulate matter concentrations in the Netherlands C. Hendriks et al. 10.1016/j.atmosenv.2012.12.017