93 citations as recorded by crossref.

1. 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
2. Preliminary Tests on the Sensitivity of the FORAIR_IT Air Quality Forecasting System to Different Meteorological Drivers M. Adani et al. 10.3390/atmos11060574
3. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model A. Manders et al. 10.5194/gmd-10-4145-2017
4. Effects of personal air pollution exposure on asthma symptoms, lung function and airway inflammation L. Chambers et al. 10.1111/cea.13130
5. 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
6. The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes P. Hamer et al. 10.5194/acp-15-10645-2015
7. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
8. Improving Air Quality Predictions over the United States with an Analog Ensemble L. Delle Monache et al. 10.1175/WAF-D-19-0148.1
9. High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam B. Mijling 10.5194/amt-13-4601-2020
10. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1) V. Huijnen et al. 10.5194/gmd-12-1725-2019
11. 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
12. 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
13. Potential of multispectral synergism for observing ozone pollution by combining IASI-NG and UVNS measurements from the EPS-SG satellite L. Costantino et al. 10.5194/amt-10-1281-2017
14. 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
15. Comparison of tropospheric NO<sub>2</sub> columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
16. 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
17. On the potential of the ICOS atmospheric CO<sub>2</sub> measurement network for estimating the biogenic CO<sub>2</sub> budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
18. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. 10.1029/2020JD032554
19. Impacts of natural emission sources on particle pollution levels in Europe N. Liora et al. 10.1016/j.atmosenv.2016.04.040
20. The operational eEMEP model version 10.4 for volcanic SO<sub>2</sub> and ash forecasting B. Steensen et al. 10.5194/gmd-10-1927-2017
21. Evaluating the effectiveness of a stove exchange programme on PM2.5 emission reduction S. Lopez-Aparicio & H. Grythe 10.1016/j.atmosenv.2020.117529
22. Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron E. Chianese et al. 10.1016/j.ecoinf.2018.12.001
23. Meteorological Conditions During an Ozone Episode in Dallas‐Fort Worth, Texas, and Impact of Their Modeling Uncertainties on Air Quality Prediction X. Hu et al. 10.1029/2018JD029791
24. What Can We Expect from Data Assimilation for Air Quality Forecast? Part I: Quantification with Academic Test Cases L. Menut & B. Bessagnet 10.1175/JTECH-D-18-0002.1
25. Source apportionment of PM2.5 across China using LOTOS-EUROS R. Timmermans et al. 10.1016/j.atmosenv.2017.06.003
26. 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
27. Air Pollution and Climate Change Effects on Allergies in the Anthropocene: Abundance, Interaction, and Modification of Allergens and Adjuvants K. Reinmuth-Selzle et al. 10.1021/acs.est.6b04908
28. 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
29. Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0 E. Emili et al. 10.5194/gmd-9-3933-2016
30. 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
31. New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
32. Impact of lockdown measures to combat Covid-19 on air quality over western Europe L. Menut et al. 10.1016/j.scitotenv.2020.140426
33. Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NO2 and PM2.5 Pollution in Urban Areas M. Ramacher & M. Karl 10.3390/ijerph17062099
34. Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. 10.1525/elementa.376
35. What can we learn about urban air quality with regard to the first outbreak of the COVID-19 pandemic? A case study from central Europe I. Salma et al. 10.5194/acp-20-15725-2020
36. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
37. Site-scale modeling of surface ozone in Northern Bavaria using machine learning algorithms, regional dynamic models, and a hybrid model S. Nabavi et al. 10.1016/j.envpol.2020.115736
38. Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. 10.1080/16000889.2020.1823733
39. Error induced by neglecting subgrid chemical segregation due to inefficient turbulent mixing in regional chemical-transport models in urban environments C. Li et al. 10.5194/acp-21-483-2021
40. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation D. Akritidis et al. 10.5194/acp-18-15515-2018
41. Comparison of TROPOMI/Sentinel-5 Precursor NO<sub>2</sub> observations with ground-based measurements in Helsinki I. Ialongo et al. 10.5194/amt-13-205-2020
42. Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook M. Sofiev et al. 10.5194/acp-17-12341-2017
43. Bayesian geostatistical modelling of high-resolution NO2 exposure in Europe combining data from monitors, satellites and chemical transport models A. Beloconi & P. Vounatsou 10.1016/j.envint.2020.105578
44. Ozone concentrations and damage for realistic future European climate and air quality scenarios C. Hendriks et al. 10.1016/j.atmosenv.2016.08.026
45. Modelling and Observation of Mineral Dust Optical Properties over Central Europe M. Chilinski et al. 10.1515/acgeo-2016-0069
46. Evaluating near-surface ozone levels simulated from MACC global and regional modelling systems in Eastern Mediterranean under the influence of Etesian winds E. Solomou et al. 10.1016/j.atmosres.2017.09.010
47. Use of variable ozone in a radiative transfer model for the global Météo‐France 4D‐Var system O. Coopmann et al. 10.1002/qj.3869
48. Monitoring aerosols over Europe: an assessment of the potential benefit of assimilating the VIS04 measurements from the future MTG/FCI geostationary imager M. Descheemaecker et al. 10.5194/amt-12-1251-2019
49. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. 10.5194/acp-19-7019-2019
50. Assimilation of PM2.5 ground base observations to two chemical schemes in WRF-Chem – The results for the winter and summer period M. Werner et al. 10.1016/j.atmosenv.2018.12.016
51. Particulate matter (PM10) patterns in Europe: An exploratory data analysis using non-negative matrix factorization J. Žibert et al. 10.1016/j.atmosenv.2016.03.005
52. hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform E. Kosmidis et al. 10.3390/ijgi7050187
53. Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States C. Wu et al. 10.3390/rs12223813
54. High resolution application of the EMEP MSC-W model over Eastern Europe – Analysis of the EMEP4PL results M. Werner et al. 10.1016/j.atmosres.2018.04.025
55. Multi-year assimilation of IASI and MLS ozone retrievals: variability of tropospheric ozone over the tropics in response to ENSO H. Peiro et al. 10.5194/acp-18-6939-2018
56. Validation of reactive gases and aerosols in the MACC global analysis and forecast system H. Eskes et al. 10.5194/gmd-8-3523-2015
57. Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013 J. Guth et al. 10.5194/acp-18-4911-2018
58. A demonstration project of Global Alliance against Chronic Respiratory Diseases: Prediction of interactions between air pollution and allergen exposure—the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach M. Sofiev et al. 10.1097/CM9.0000000000000916
59. First implementation of secondary inorganic aerosols in the MOCAGE version R2.15.0 chemistry transport model J. Guth et al. 10.5194/gmd-9-137-2016
60. Forecasting hourly $${\hbox {NO}_{2}}$$ concentrations by ensembling neural networks and mesoscale models D. Valput et al. 10.1007/s00521-019-04442-z
61. The impact of biomass burning on upper tropospheric carbon monoxide: a study using MOCAGE global model and IAGOS airborne data M. Cussac et al. 10.5194/acp-20-9393-2020
62. Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts R. Abida et al. 10.5194/acp-17-1081-2017
63. Costs and benefits of implementing an Environmental Speed Limit in a Nordic city S. Lopez-Aparicio et al. 10.1016/j.scitotenv.2020.137577
64. 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
65. 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
66. Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data I. Kioutsioukis et al. 10.5194/acp-16-15629-2016
67. Evaluation of traffic control measures in Oslo region and its effect on current air quality policies in Norway G. Sousa Santos et al. 10.1016/j.tranpol.2020.08.025
68. 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
69. Perspective on Mechanism Development and Structure-Activity Relationships for Gas-Phase Atmospheric Chemistry L. Vereecken et al. 10.1002/kin.21172
70. A review of numerical models to predict the atmospheric dispersion of radionuclides Á. Leelőssy et al. 10.1016/j.jenvrad.2017.11.009
71. Can Data Assimilation of Surface PM2.5 and Satellite AOD Improve WRF-Chem Forecasting? A Case Study for Two Scenarios of Particulate Air Pollution Episodes in Poland M. Werner et al. 10.3390/rs11202364
72. The urban dispersion model EPISODE v10.0 – Part 1: An Eulerian and sub-grid-scale air quality model and its application in Nordic winter conditions P. Hamer et al. 10.5194/gmd-13-4323-2020
73. Validation of reactive gases and aerosols in the MACC global analysis and forecast system H. Eskes et al. 10.5194/gmdd-8-1117-2015
74. Mapping urban air quality in near real-time using observations from low-cost sensors and model information P. Schneider et al. 10.1016/j.envint.2017.05.005
75. Application of Data Fusion Techniques to Improve Air Quality Forecast: A Case Study in the Northern Italy C. Carnevale et al. 10.3390/atmos11030244
76. Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 I. Bouarar et al. 10.1016/j.atmosenv.2018.10.043
77. Vertical Profiles of Tropospheric Ozone From MAX‐DOAS Measurements During the CINDI‐2 Campaign: Part 1—Development of a New Retrieval Algorithm Y. Wang et al. 10.1029/2018JD028647
78. Ensemble forecasts of air quality in eastern China – Part 2: Evaluation of the MarcoPolo–Panda prediction system, version 1 A. Petersen et al. 10.5194/gmd-12-1241-2019
79. Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France D. Joly et al. 10.1007/s00704-020-03418-7
80. Comparison between the assimilation of IASI Level 2 ozone retrievals and Level 1 radiances in a chemical transport model E. Emili et al. 10.5194/amt-12-3963-2019
81. The influence of residential wood combustion on the concentrations of PM<sub>2.5</sub> in four Nordic cities J. Kukkonen et al. 10.5194/acp-20-4333-2020
82. C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF V. Huijnen et al. 10.5194/gmd-9-3071-2016
83. Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data N. Siomos et al. 10.5194/acp-17-7003-2017
84. Profiling of Saharan dust from the Caribbean to western Africa – Part 2: Shipborne lidar measurements versus forecasts A. Ansmann et al. 10.5194/acp-17-14987-2017
85. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. 10.1002/qj.3497
86. Impact of a future H 2 transportation on atmospheric pollution in Europe M. Popa et al. 10.1016/j.atmosenv.2015.03.022
87. Simulating Secondary Inorganic Aerosols using the chemistry transport model MOCAGE version R2.15.0 J. Guth et al. 10.5194/gmdd-8-3593-2015
88. Ozone and aerosol tropospheric concentrations variability analyzed using the ADRIMED measurements and the WRF and CHIMERE models L. Menut et al. 10.5194/acp-15-6159-2015
89. Ozone attributed to Madrid and Barcelona on-road transport emissions: Characterization of plume dynamics over the Iberian Peninsula V. Valverde et al. 10.1016/j.scitotenv.2015.11.070
90. Aerosol forecast over the Mediterranean area during July 2013 (ADRIMED/CHARMEX) L. Menut et al. 10.5194/acp-15-7897-2015
91. A decision framework for Integrated Assessment Modelling of air quality at regional and local scale G. Guariso et al. 10.1016/j.envsci.2016.05.001
92. Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model P. Thunis et al. 10.1007/s11869-016-0427-y
93. MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe M. Sofiev et al. 10.5194/acp-15-8115-2015