57 citations as recorded by crossref.

1. Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling M. Guevara et al. https://doi.org/10.5194/essd-13-367-2021
2. Simulation of tropospheric chemistry and aerosols with the climate model EC-Earth T. van Noije et al. https://doi.org/10.5194/gmd-7-2435-2014
3. Composition and origin of PM2.5 aerosol particles in the upper Rhine valley in summer X. Shen et al. https://doi.org/10.5194/acp-19-13189-2019
4. An improved system for modelling Spanish emissions: HERMESv2.0 M. Guevara et al. https://doi.org/10.1016/j.atmosenv.2013.08.053
5. Modelling road transport emissions in Germany – Current day situation and scenarios for 2040 V. Matthias et al. https://doi.org/10.1016/j.trd.2020.102536
6. Expansion of a size disaggregation profile library for particulate matter emissions processing from three generic profiles to 36 source-type-specific profiles E. Boutzis et al. https://doi.org/10.1080/10962247.2020.1743794
7. Ammonia emissions in Europe, part I: Development of a dynamical ammonia emission inventory A. Backes et al. https://doi.org/10.1016/j.atmosenv.2016.01.041
8. Multi-Domain Design Structure Matrix Approach Applied to Urban System Modeling P. Hoffmann et al. https://doi.org/10.3390/urbansci4020028
9. Sensitivity of modeled atmospheric nitrogen species and nitrogen deposition to variations in sea salt emissions in the North Sea and Baltic Sea regions D. Neumann et al. https://doi.org/10.5194/acp-16-2921-2016
10. Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. https://doi.org/10.1016/j.atmosenv.2018.12.059
11. A benchmarking tool to screen and compare bottom-up and top-down atmospheric emission inventories M. Guevara et al. https://doi.org/10.1007/s11869-016-0456-6
12. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. https://doi.org/10.5194/acp-19-7019-2019
13. Modeling high aerosol loads in China in January 2013 V. Matthias et al. https://doi.org/10.1016/j.uclim.2016.04.005
14. Multi-model study of mercury dispersion in the atmosphere: vertical and interhemispheric distribution of mercury species J. Bieser et al. https://doi.org/10.5194/acp-17-6925-2017
15. Impact of Emission Reductions between 1980 and 2020 on Atmospheric Benzo[a]pyrene Concentrations over Europe J. Bieser et al. https://doi.org/10.1007/s11270-011-0953-z
16. POPE: an annual global half degree emission inventory for PFAS 1950–2020 P. Simon et al. https://doi.org/10.5194/essd-18-5713-2026
17. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. https://doi.org/10.1080/10962247.2018.1424057
18. Ammonia emissions in Europe, part II: How ammonia emission abatement strategies affect secondary aerosols A. Backes et al. https://doi.org/10.1016/j.atmosenv.2015.11.039
19. A comparison of plume rise algorithms to stack plume measurements in the Athabasca oil sands M. Gordon et al. https://doi.org/10.5194/acp-18-14695-2018
20. Description and evaluation of a newly developed emission inventory processing system (EMIPS) W. Chen et al. https://doi.org/10.1016/j.scitotenv.2023.161909
21. The role of emission reductions and the meteorological situation for air quality improvements during the COVID-19 lockdown period in central Europe V. Matthias et al. https://doi.org/10.5194/acp-21-13931-2021
22. FUME 2.0 – Flexible Universal processor for Modeling Emissions M. Belda et al. https://doi.org/10.5194/gmd-17-3867-2024
23. An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 M. Jähn et al. https://doi.org/10.5194/gmd-13-2379-2020
24. Assessing sensitivity regimes of secondary inorganic aerosol formation in Europe with the CALIOPE-EU modeling system M. Pay et al. https://doi.org/10.1016/j.atmosenv.2012.01.027
25. 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
26. The 3D biogeochemical marine mercury cycling model MERCY v2.0 – linking atmospheric Hg to methylmercury in fish J. Bieser et al. https://doi.org/10.5194/gmd-16-2649-2023
27. Forecasting system for urban air quality with automatic correction and web service for public dissemination M. Karl et al. https://doi.org/10.1080/17538947.2024.2359569
28. Evaluation of gas-particle partitioning in a regional air quality model for organic pollutants C. Efstathiou et al. https://doi.org/10.5194/acp-16-15327-2016
29. The impact of shipping emissions on air pollution in the greater North Sea region – Part 1: Current emissions and concentrations A. Aulinger et al. https://doi.org/10.5194/acp-16-739-2016
30. Comparison of the Impact of Ship Emissions in Northern Europe and Eastern China D. Schwarzkopf et al. https://doi.org/10.3390/atmos13060894
31. The impact of nitrogen and sulfur emissions from shipping on the exceedance of critical loads in the Baltic Sea region S. Jutterström et al. https://doi.org/10.5194/acp-21-15827-2021
32. The impact of shipping emissions on air pollution in the greater North Sea region – Part 2: Scenarios for 2030 V. Matthias et al. https://doi.org/10.5194/acp-16-759-2016
33. Urban population exposure to NOx emissions from local shipping in three Baltic Sea harbour cities – a generic approach M. Ramacher et al. https://doi.org/10.5194/acp-19-9153-2019
34. Advances in air quality research – current and emerging challenges R. Sokhi et al. https://doi.org/10.5194/acp-22-4615-2022
35. Vertical emission profiles for Europe based on plume rise calculations J. Bieser et al. https://doi.org/10.1016/j.envpol.2011.04.030
36. Implementation of different big-leaf canopy reduction functions in the Biogenic Emission Inventory System (BEIS) and their impact on concentrations of oxidized nitrogen species in northern Europe J. Arndt et al. https://doi.org/10.1016/j.atmosenv.2018.07.035
37. Simulation of chemical transport model estimates by means of a neural network using meteorological data A. Vlasenko et al. https://doi.org/10.1016/j.atmosenv.2021.118236
38. 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
39. The UrbEm Hybrid Method to Derive High-Resolution Emissions for City-Scale Air Quality Modeling M. Ramacher et al. https://doi.org/10.3390/atmos12111404
40. The new open Flexible Emission Inventory for Greece and the Greater Athens Area (FEI-GREGAA): Account of pollutant sources and their importance from 2006 to 2012 K. Fameli & V. Assimakopoulos https://doi.org/10.1016/j.atmosenv.2016.04.004
41. The Method to Decrease Emissions from Ships in Port Areas V. Paulauskas et al. https://doi.org/10.3390/su12114374
42. Aerosols in the CALIOPE air quality modelling system: evaluation and analysis of PM levels, optical depths and chemical composition over Europe S. Basart et al. https://doi.org/10.5194/acp-12-3363-2012
43. Influence of emissions on regional atmospheric mercury concentrations J. Bieser et al. https://doi.org/10.1051/e3sconf/20130127002
44. Quantifying the contribution of shipping NOx emissions to the marine nitrogen inventory – a case study for the western Baltic Sea D. Neumann et al. https://doi.org/10.5194/os-16-115-2020
45. The impact of ship emissions on air quality and human health in the Gothenburg area – Part 1: 2012 emissions L. Tang et al. https://doi.org/10.5194/acp-20-7509-2020
46. Atmospheric emission of NO from mining explosives: A critical review I. Oluwoye et al. https://doi.org/10.1016/j.atmosenv.2017.08.006
47. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. https://doi.org/10.1016/j.scitotenv.2019.03.264
48. 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
49. Impact of marine mercury cycling on coastal atmospheric mercury concentrations in the North- and Baltic Sea region J. Bieser et al. https://doi.org/10.12952/journal.elementa.000111
50. On the Temporal Variability of Air Pollutants’ Emissions – Case Study of Residential PM10 Emission in Silesian Metropolis D. Zasina & J. Zawadzki https://doi.org/10.2478/ntpe-2020-0003
51. A comparison of sea salt emission parameterizations in northwestern Europe using a chemistry transport model setup D. Neumann et al. https://doi.org/10.5194/acp-16-9905-2016
52. EURODELTA III exercise: An evaluation of air quality models’ capacity to reproduce the carbonaceous aerosol M. Mircea et al. https://doi.org/10.1016/j.aeaoa.2019.100018
53. Improving spatial surrogates for area source emissions inventories in California Y. Li et al. https://doi.org/10.1016/j.atmosenv.2020.117665
54. Regional modeling of atmospheric mercury: impact of meteorological variables V. Matthias et al. https://doi.org/10.1051/e3sconf/20130127006
55. The impact of ship emissions on air quality and human health in the Gothenburg area – Part II: Scenarios for 2040 M. Ramacher et al. https://doi.org/10.5194/acp-20-10667-2020
56. An emission processing system for air quality modelling in the Mexico City metropolitan area: Evaluation and comparison of the MOBILE6.2-Mexico and MOVES-Mexico traffic emissions M. Guevara et al. https://doi.org/10.1016/j.scitotenv.2017.01.135
57. Impact of a nitrogen emission control area (NECA) on the future air quality and nitrogen deposition to seawater in the Baltic Sea region M. Karl et al. https://doi.org/10.5194/acp-19-1721-2019