95 citations as recorded by crossref.

1. Prediction of source contributions to urban background PM<sub>10</sub> 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
2. Improving spatial and temporal variation of ammonia emissions for the Netherlands using livestock housing information and a Sentinel-2-derived crop map X. Ge et al. 10.1016/j.aeaoa.2023.100207
3. 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
4. Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models S. Galmarini et al. 10.5194/acp-21-15663-2021
5. A fast method for ammonia emission reduction scenario studies: Combining EMEP4NL with the SHERPA tool R. Verweij et al. 10.1016/j.atmosenv.2023.119805
6. Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al. 10.3390/atmos12070900
7. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
8. Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. 10.5194/acp-21-4575-2021
9. Dry deposition of ammonia in a coastal dune area: Measurements and modeling K. Vendel et al. 10.1016/j.atmosenv.2023.119596
10. 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
11. Local Scale Exposure and Fate of Engineered Nanomaterials M. Poikkimäki et al. 10.3390/toxics10070354
12. Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 – Part 2: The city contribution M. Pommier 10.5194/gmd-14-4143-2021
13. Application of Positive Matrix Factorization Receptor Model for Source Identification of PM10 in the City of Sofia, Bulgaria E. Hristova et al. 10.3390/atmos11090890
14. NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al. 10.5194/amt-17-6485-2024
15. Impact of interannual weather variation on ammonia emissions and concentrations in Germany X. Ge et al. 10.1016/j.agrformet.2023.109432
16. Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter M. Pang et al. 10.1016/j.atmosenv.2023.119831
17. Moss species-specific accumulation of atmospheric deposition? W. Schröder & S. Nickel 10.1186/s12302-019-0262-5
18. 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
19. 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
20. Canopy Exchange and Modification of Nitrogen Fluxes in Forest Ecosystems R. Guerrieri et al. 10.1007/s40725-021-00141-y
21. Source backtracking for dust storm emission inversion using an adjoint method: case study of Northeast China J. Jin et al. 10.5194/acp-20-15207-2020
22. Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model M. Dawson et al. 10.5194/gmd-15-3663-2022
23. Satellite and Local Measurements Based Services for Air Quality Improvement J. de Vries et al. 10.5572/ajae.2019.13.1.039
24. Comparison of S5P/TROPOMI Inferred NO2 Surface Concentrations with In Situ Measurements over Central Europe A. Pseftogkas et al. 10.3390/rs14194886
25. 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
26. Analysis of summer O<sub>3</sub> in the Madrid air basin with the LOTOS-EUROS chemical transport model M. Escudero et al. 10.5194/acp-19-14211-2019
27. A multi-model comparison of meteorological drivers of surface ozone over Europe N. Otero et al. 10.5194/acp-18-12269-2018
28. Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting M. Pang et al. 10.5194/gmd-17-8223-2024
29. 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
30. Clustering-based spatial transfer learning for short-term ozone forecasting T. Deng et al. 10.1016/j.hazadv.2022.100168
31. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
32. Machine learning based bias correction for numerical chemical transport models M. Xu et al. 10.1016/j.atmosenv.2020.118022
33. Unraveling the diurnal atmospheric ammonia budget of a prototypical convective boundary layer R. Schulte et al. 10.1016/j.atmosenv.2020.118153
34. Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications B. Khan et al. 10.5194/gmd-14-1171-2021
35. 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
36. Development and Implementation of a Platform for Public Information on Air Quality, Sensor Measurements, and Citizen Science J. Wesseling et al. 10.3390/atmos10080445
37. Position correction in dust storm forecasting using LOTOS-EUROS v2.1: grid-distorted data assimilation v1.0 J. Jin et al. 10.5194/gmd-14-5607-2021
38. Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques C. Brümmer et al. 10.5194/essd-14-743-2022
39. Effect of changing NO<sub><i>x</i></sub> lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO<sub>2</sub> columns over China V. Shah et al. 10.5194/acp-20-1483-2020
40. Source apportionment of PM2.5 across China using LOTOS-EUROS R. Timmermans et al. 10.1016/j.atmosenv.2017.06.003
41. Impact of synthetic space-borne NO<sub>2</sub> observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO<sub>2</sub> analyses R. Timmermans et al. 10.5194/acp-19-12811-2019
42. Comparison of source apportionment approaches and analysis of non-linearity in a real case model application C. Belis et al. 10.5194/gmd-14-4731-2021
43. The Influence of Tree Species on the Recovery of Forest Soils from Acidification in Lower Saxony, Germany B. Ahrends et al. 10.3390/soilsystems6020040
44. On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al. 10.5194/acp-24-185-2024
45. Halving nitrogen waste in the European Union food systems requires both dietary shifts and farm level actions A. Leip et al. 10.1016/j.gfs.2022.100648
46. Forest–atmosphere exchange of reactive nitrogen in a remote region – Part II: Modeling annual budgets P. Wintjen et al. 10.5194/bg-19-5287-2022
47. Source apportionment to support air quality planning: Strengths and weaknesses of existing approaches P. Thunis et al. 10.1016/j.envint.2019.05.019
48. Variability of black carbon aerosol concentrations and sources at a Mediterranean coastal region A. Milinković et al. 10.1016/j.apr.2021.101221
49. Correlating elements content in mosses collected in 2015 across Germany with spatially associated characteristics of sampling sites and their surroundings S. Nickel & W. Schröder 10.1186/s12302-019-0260-7
50. Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. 10.3390/atmos12121633
51. A New Separation Methodology for the Maritime Sector Emissions over the Mediterranean and Black Sea Regions A. Pseftogkas et al. 10.3390/atmos12111478
52. Improving Air Pollution Modelling in Complex Terrain with a Coupled WRF–LOTOS–EUROS Approach: A Case Study in Aburrá Valley, Colombia J. Hinestroza-Ramirez et al. 10.3390/atmos14040738
53. Inverse modeling of the 2021 spring super dust storms in East Asia J. Jin et al. 10.5194/acp-22-6393-2022
54. Spatially varying parameter estimation for dust emissions using reduced-tangent-linearization 4DVar J. Jin et al. 10.1016/j.atmosenv.2018.05.060
55. Forecasting PM10 and PM2.5 in the Aburrá Valley (Medellín, Colombia) via EnKF based data assimilation S. Lopez-Restrepo et al. 10.1016/j.atmosenv.2020.117507
56. Conservation laws in a neural network architecture: enforcing the atom balance of a Julia-based photochemical model (v0.2.0) P. Sturm & A. Wexler 10.5194/gmd-15-3417-2022
57. Data assimilation of CrIS NH<sub>3</sub> satellite observations for improving spatiotemporal NH<sub>3</sub> distributions in LOTOS-EUROS S. van der Graaf et al. 10.5194/acp-22-951-2022
58. Comparison of Methods for the Estimation of Total Inorganic Nitrogen Deposition to Forests in Germany B. Ahrends et al. 10.3389/ffgc.2020.00103
59. Can TROPOMI NO2satellite data be used to track the drop in and resurgence of NOxemissions in Germany between 2019–2021 using the multi-source plume method (MSPM)? E. Dammers et al. 10.5194/gmd-17-4983-2024
60. A Knowledge-Aided Robust Ensemble Kalman Filter Algorithm for Non-Linear and Non-Gaussian Large Systems S. Lopez-Restrepo et al. 10.3389/fams.2022.830116
61. Time-Dependent Downscaling of PM2.5 Predictions from CAMS Air Quality Models to Urban Monitoring Sites in Budapest A. Varga-Balogh et al. 10.3390/atmos11060669
62. Novel Approaches to Air Pollution Exposure and Clinical Outcomes Assessment in Environmental Health Studies S. Yarza et al. 10.3390/atmos11020122
63. Evaluation of modelled LOTOS-EUROS with observational based PM10 source attribution R. Timmermans et al. 10.1016/j.aeaoa.2022.100173
64. Benefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric composition S. Quesada-Ruiz et al. 10.5194/amt-13-131-2020
65. Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
66. 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
67. Towards integration of LOTOS-EUROS high resolution simulations and heterogenous low-cost sensor observations I. Skoulidou et al. 10.1016/j.atmosenv.2024.120652
68. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al. 10.5194/acp-21-1759-2021
69. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown A. Tang et al. 10.1016/j.scitotenv.2023.166149
70. On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
71. Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies B. Bessagnet et al. 10.1007/s11869-023-01469-z
72. Investigating the impact of coupling HARMONIE-WINS50 (cy43) meteorology to LOTOS-EUROS (v2.2.002) on a simulation of NO2 concentrations over the Netherlands A. Yarce Botero et al. 10.5194/gmd-17-3765-2024
73. Dust Emission Inversion Using Himawari‐8 AODs Over East Asia: An Extreme Dust Event in May 2017 J. Jin et al. 10.1029/2018MS001491
74. Potential impact of shipping on air pollution in the Mediterranean region – a multimodel evaluation: comparison of photooxidants NO2 and O3 L. Fink et al. 10.5194/acp-23-1825-2023
75. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
76. 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
77. Satellite-derived leaf area index and roughness length information for surface–atmosphere exchange modelling: a case study for reactive nitrogen deposition in north-western Europe using LOTOS-EUROS v2.0 S. van der Graaf et al. 10.5194/gmd-13-2451-2020
78. Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method P. Sturm et al. 10.1029/2022MS003235
79. Representing Ozone Formation from Volatile Chemical Products (VCP) in Carbon Bond (CB) Chemical Mechanisms G. Yarwood & K. Tuite 10.3390/atmos15020178
80. Technical note: How are NH<sub>3</sub> dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH<sub>3</sub> satellite observations? S. van der Graaf et al. 10.5194/acp-18-13173-2018
81. 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
82. 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
83. Integrated assessment of simultaneous threshold exceedance of heat, air pollution and airborne allergenic pollen across Europe B. Scholten et al. 10.1016/j.envint.2024.109010
84. Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models M. Thürkow et al. 10.1016/j.scitotenv.2023.167665
85. Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels M. Koukouli et al. 10.3390/atmos13050840
86. How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent J. Jin et al. 10.5194/acp-23-1641-2023
87. Modeling atmospheric ammonia using agricultural emissions with improved spatial variability and temporal dynamics X. Ge et al. 10.5194/acp-20-16055-2020
88. Key principles and operational practices for improved nanotechnology environmental exposure assessment C. Svendsen et al. 10.1038/s41565-020-0742-1
89. Modelling ultrafine particle number concentrations at address resolution in Denmark from 1979 to 2018 - Part 2: Local and street scale modelling and evaluation M. Ketzel et al. 10.1016/j.atmosenv.2021.118633
90. To new heights by flying low: comparison of aircraft vertical NO2 profiles to model simulations and implications for TROPOMI NO2 retrievals T. Riess et al. 10.5194/amt-16-5287-2023
91. Urban Air Quality Modeling Using Low-Cost Sensor Network and Data Assimilation in the Aburrá Valley, Colombia S. Lopez-Restrepo et al. 10.3390/atmos12010091
92. 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
93. Nitrogen deposition shows no consistent negative nor positive effect on the response of forest productivity to drought across European FLUXNET forest sites S. van der Graaf et al. 10.1088/2515-7620/ac2b7d
94. 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
95. Impact of the 4 April 2014 Saharan dust outbreak on the photovoltaic power generation in Germany D. Rieger et al. 10.5194/acp-17-13391-2017