334 citations as recorded by crossref.

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2. Enviro-HIRLAM online integrated meteorology–chemistry modelling system: strategy, methodology, developments and applications (v7.2) A. Baklanov et al. https://doi.org/10.5194/gmd-10-2971-2017
3. An investigation on the origin of regional springtime ozone episodes in the western Mediterranean P. Kalabokas et al. https://doi.org/10.5194/acp-17-3905-2017
4. Spatiotemporal Variations in the Content of Pollutants in the Moscow Air Basin and Their Emissions N. Elansky et al. https://doi.org/10.1134/S0001433822010029
5. Benchmarking data-driven inversion methods for the estimation of local CO2 emissions from synthetic satellite images of XCO2 and NO2 D. Santaren et al. https://doi.org/10.5194/amt-18-211-2025
6. Effects of biomass burning on chlorophyll-a concentration and particulate organic carbon in the subarctic North Pacific Ocean based on satellite observations and WRF-Chem model simulations: A case study W. Wang et al. https://doi.org/10.1016/j.atmosres.2021.105526
7. Estimating CH4, CO2 and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. https://doi.org/10.5194/acp-20-12675-2020
8. Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework F. Kleinert et al. https://doi.org/10.5194/gmd-15-8913-2022
9. Development of a parametrised atmospheric NOx chemistry scheme to help quantify fossil fuel CO2 emission estimates C. Schooling et al. https://doi.org/10.5194/acp-25-15631-2025
10. Gridded emission inventory of short-chain chlorinated paraffins and its validation in China W. Jiang et al. https://doi.org/10.1016/j.envpol.2016.09.031
11. The EMEP Intensive Measurement Period campaign, 2008–2009: characterizing carbonaceous aerosol at nine rural sites in Europe K. Yttri et al. https://doi.org/10.5194/acp-19-4211-2019
12. Sources of particulate-matter air pollution and its oxidative potential in Europe K. Daellenbach et al. https://doi.org/10.1038/s41586-020-2902-8
13. The Effect of Land Use Classification on the Gas‐Phase and Particle Composition of the Troposphere: Tree Species Versus Forest Type Information M. Luttkus et al. https://doi.org/10.1029/2021JD035305
14. Adjustment of the Power of Model Emissions of Anthropogenic Atmospheric Pollution Sources Based on Measurement Data and Adjoint Problem Methods P. Antokhin et al. https://doi.org/10.1134/S1024856025700319
15. Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-25-6047-2025
16. BAERLIN2014 – stationary measurements and source apportionment at an urban background station in Berlin, Germany E. von Schneidemesser et al. https://doi.org/10.5194/acp-18-8621-2018
17. GHGPSE-Net: a method towards spaceborne automated extraction of greenhouse-gas point sources using point-object-detection deep neural network Y. Pang et al. https://doi.org/10.5194/gmd-19-1683-2026
18. Time-Dependent Downscaling of PM2.5 Predictions from CAMS Air Quality Models to Urban Monitoring Sites in Budapest A. Varga-Balogh et al. https://doi.org/10.3390/atmos11060669
19. Effects of two different biogenic emission models on modelled ozone and aerosol concentrations in Europe J. Jiang et al. https://doi.org/10.5194/acp-19-3747-2019
20. Estimation of Surface NO2 Concentrations over Germany from TROPOMI Satellite Observations Using a Machine Learning Method K. Chan et al. https://doi.org/10.3390/rs13050969
21. Characterisation of methane sources in Lutjewad, The Netherlands, using quasi-continuous isotopic composition measurements M. Menoud et al. https://doi.org/10.1080/16000889.2020.1823733
22. Lagrangian Particle Dispersion Models in the Grey Zone of Turbulence: Adaptations to FLEXPART-COSMO for Simulations at 1 km Grid Resolution I. Katharopoulos et al. https://doi.org/10.1007/s10546-022-00728-3
23. Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. https://doi.org/10.1525/elementa.411
24. Improving the spatial resolution of air-quality modelling at a European scale – development and evaluation of the Air Quality Re-gridder Model (AQR v1.1) M. Theobald et al. https://doi.org/10.5194/gmd-9-4475-2016
25. Integrated air quality modeling for urban policy: A novel approach with olympus-chimere A. Elessa Etuman & I. Coll https://doi.org/10.1016/j.atmosenv.2023.120134
26. Evaluation of receptor and chemical transport models for PM10 source apportionment C. Belis et al. https://doi.org/10.1016/j.aeaoa.2019.100053
27. Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation E. Athanasopoulou et al. https://doi.org/10.5194/acp-17-10597-2017
28. Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions R. Forkel et al. https://doi.org/10.1016/j.atmosenv.2014.10.056
29. Investigating the background and local contribution of the oxidants in London and Bangkok M. Khan et al. https://doi.org/10.1039/D0FD00086H
30. New concepts for the comparison of tropospheric NO2 column densities derived from car-MAX-DOAS observations, OMI satellite observations and the regional model CHIMERE during two MEGAPOLI campaigns in Paris 2009/10 R. Shaiganfar et al. https://doi.org/10.5194/amt-8-2827-2015
31. 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. https://doi.org/10.5194/acp-24-185-2024
32. A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. https://doi.org/10.5194/acp-23-10163-2023
33. The MetVed model: development and evaluation of emissions from residential wood combustion at high spatio-temporal resolution in Norway H. Grythe et al. https://doi.org/10.5194/acp-19-10217-2019
34. Modeling atmospheric ammonia using agricultural emissions with improved spatial variability and temporal dynamics X. Ge et al. https://doi.org/10.5194/acp-20-16055-2020
35. Sources of organic aerosols in Europe: a modeling study using CAMx with modified volatility basis set scheme J. Jiang et al. https://doi.org/10.5194/acp-19-15247-2019
36. A multi-faceted, integrated methodological approach to identify hotspots of combined urban environmental pressures in the climate change context N. Votsi et al. https://doi.org/10.1007/s41207-025-00746-w
37. Measurement report: Eight years of greenhouse gas fluxes at Saclay, France, estimated with the Radon Tracer Method C. Yver-Kwok et al. https://doi.org/10.5194/acp-25-16085-2025
38. Analyzing the efficiency of short-term air quality plans in European cities, using the CHIMERE air quality model P. Thunis et al. https://doi.org/10.1007/s11869-016-0427-y
39. Adverse results of the economic crisis: A study on the emergence of enhanced formaldehyde (HCHO) levels seen from satellites over Greek urban sites I. Zyrichidou et al. https://doi.org/10.1016/j.atmosres.2019.03.017
40. Uncertainties in source allocation of carbonaceous aerosols in a Mediterranean region H. Navarro-Barboza et al. https://doi.org/10.1016/j.envint.2023.108252
41. An empirical model to predict road dust emissions based on pavement and traffic characteristics E. Padoan et al. https://doi.org/10.1016/j.envpol.2017.10.115
42. Source attribution of European surface O3 using a tagged O3 mechanism A. Lupaşcu & T. Butler https://doi.org/10.5194/acp-19-14535-2019
43. The role of precursor emissions on ground level ozone concentration during summer season in Poland K. Wałaszek et al. https://doi.org/10.1007/s10874-017-9371-y
44. 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
45. Intercomparison of in situ measurements of ambient NH3: instrument performance and application under field conditions M. Twigg et al. https://doi.org/10.5194/amt-15-6755-2022
46. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. https://doi.org/10.5194/gmd-16-509-2023
47. Predicted Concentrations and Optical Properties of Brown Carbon from Biomass Burning over Europe K. Skyllakou et al. https://doi.org/10.1021/acsestair.4c00032
48. Investigating sources of measured forest-atmosphere ammonia fluxes using two-layer bi-directional modelling K. Hansen et al. https://doi.org/10.1016/j.agrformet.2017.02.008
49. Top–down quantification of NOx emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model F. Kuik et al. https://doi.org/10.5194/acp-18-8203-2018
50. Tropospheric modeling of acetic acid in the UK for Summer, Winter and Spring seasons using a mesoscale 3-dimensional chemistry and transport model, WRF-Chem-CRI M. Khan et al. https://doi.org/10.1016/j.atmosres.2021.105506
51. A new approach to estimating of the power of nitrogen oxides emissions from the anthropogenic source N. Tikhonov et al. https://doi.org/10.1088/1742-6596/1715/1/012023
52. To what extent the traffic restriction policies applied in Barcelona city can improve its air quality? D. Rodriguez-Rey et al. https://doi.org/10.1016/j.scitotenv.2021.150743
53. Aerosol pollution maps and trends over Germany with hourly data at four rural background stations from 2009 to 2018 J. Heintzenberg et al. https://doi.org/10.5194/acp-20-10967-2020
54. Optimizing a dynamic fossil fuel CO2 emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO2, CO, NOx, and SO2 I. Super et al. https://doi.org/10.5194/gmd-13-2695-2020
55. Simulation of the cooking organic aerosol concentration variability in an urban area E. Siouti et al. https://doi.org/10.1016/j.atmosenv.2021.118710
56. High-resolution spatial-distribution maps of road transport exhaust emissions in Chile, 1990–2020 M. Osses et al. https://doi.org/10.5194/essd-14-1359-2022
57. Leakage-controlled machine learning for European Cd, Hg, and Pb emission inventories T. Guan & J. Nguyen https://doi.org/10.1007/s10661-026-15861-6
58. An improved TROPOMI tropospheric NO2 research product over Europe S. Liu et al. https://doi.org/10.5194/amt-14-7297-2021
59. Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe – modeling and observations P. Shrestha et al. https://doi.org/10.5194/acp-22-14095-2022
60. 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. https://doi.org/10.1016/j.aeaoa.2023.100207
61. Dominant variables of global air pollution-climate interaction: Geographic insight H. Feng et al. https://doi.org/10.1016/j.ecolind.2018.12.038
62. Estimation of shipping emissions using vessel Long Range Identification and Tracking data A. Alessandrini et al. https://doi.org/10.1080/17445647.2017.1411842
63. Environmental Burden of Disease due to Emissions of Hard Coal- and Lignite-Fired Power Plants in Germany M. Liebig-Gonglach et al. https://doi.org/10.3389/ijph.2023.1606083
64. Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. https://doi.org/10.5194/acp-21-4575-2021
65. Synergistic PM2.5 and O3 control to address the emerging global PM2.5-O3 compound pollution challenges C. He et al. https://doi.org/10.1016/j.eehl.2024.04.004
66. Implementation of the Burned Area Component of the Copernicus Climate Change Service: From MODIS to OLCI Data J. Lizundia-Loiola et al. https://doi.org/10.3390/rs13214295
67. Black carbon transport between Santiago de Chile and glaciers in the Andes Mountains E. Gramsch et al. https://doi.org/10.1016/j.atmosenv.2020.117546
68. Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005 M. Prank et al. https://doi.org/10.5194/acp-16-6041-2016
69. Effects of strengthening the Baltic Sea ECA regulations J. Jonson et al. https://doi.org/10.5194/acp-19-13469-2019
70. Modeling organic aerosol over Central Europe: uncertainties linked to different chemical mechanisms, parameterizations, and boundary conditions L. Bartík et al. https://doi.org/10.5194/acp-25-15301-2025
71. Potential impacts of emissions associated with unconventional hydrocarbon extraction on UK air quality and human health A. Archibald et al. https://doi.org/10.1007/s11869-018-0570-8
72. 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 – Part 2: The city contribution M. Pommier https://doi.org/10.5194/gmd-14-4143-2021
73. Impact of passenger car NOX emissions on urban NO2 pollution – Scenario analysis for 8 European cities B. Degraeuwe et al. https://doi.org/10.1016/j.atmosenv.2017.10.040
74. Application of the DPSIR framework to air quality approaches H. Relvas & A. Miranda https://doi.org/10.1007/s11869-018-0609-x
75. Photochemical reaction playing a key role in particulate matter pollution over Central France: Insight from the aerosol optical properties D. Hu et al. https://doi.org/10.1016/j.scitotenv.2018.12.084
76. Shipping emissions over Europe: A state-of-the-art and comparative analysis M. Russo et al. https://doi.org/10.1016/j.atmosenv.2018.01.025
77. Attribution of surface ozone to NOx and volatile organic compound sources during two different high ozone events A. Lupaşcu et al. https://doi.org/10.5194/acp-22-11675-2022
78. Recommended coupling to global meteorological fields for long-term tracer simulations with WRF-GHG D. Ho et al. https://doi.org/10.5194/gmd-17-7401-2024
79. Impacts of natural emission sources on particle pollution levels in Europe N. Liora et al. https://doi.org/10.1016/j.atmosenv.2016.04.040
80. Assessing the ammonium nitrate formation regime in the Paris megacity and its representation in the CHIMERE model H. Petetin et al. https://doi.org/10.5194/acp-16-10419-2016
81. Spatial inter-comparison of Top-down emission inventories in European urban areas M. Trombetti et al. https://doi.org/10.1016/j.atmosenv.2017.10.032
82. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model A. Manders et al. https://doi.org/10.5194/gmd-10-4145-2017
83. Evaluation of impact of residential heating on air quality of megacity Istanbul by CMAQ M. Baykara et al. https://doi.org/10.1016/j.scitotenv.2018.10.091
84. Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave L. Palacios-Peña et al. https://doi.org/10.5194/acp-20-9679-2020
85. Long-term monitoring of black carbon across Germany R. Kutzner et al. https://doi.org/10.1016/j.atmosenv.2018.04.039
86. PM2.5 source allocation in European cities: A SHERPA modelling study P. Thunis et al. https://doi.org/10.1016/j.atmosenv.2018.05.062
87. An emission inventory update for Tehran: The difference between air pollution and greenhouse gas source contributions H. Shahbazi et al. https://doi.org/10.1016/j.atmosres.2022.106240
88. An urban air quality modeling system to support decision-making: design and implementation H. Relvas & A. Miranda https://doi.org/10.1007/s11869-018-0587-z
89. Sulfur and Nitrogen Depositions in BULGARIA—Model Results and Observations E. Georgieva et al. https://doi.org/10.3390/atmos13020343
90. How important are maritime emissions for the air quality: At European and national scale A. Monteiro et al. https://doi.org/10.1016/j.envpol.2018.07.011
91. Performance assessment of CHIMERE and EURAD-IM’ dust modules C. Gama et al. https://doi.org/10.1016/j.apr.2019.03.005
92. Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study P. Makar et al. https://doi.org/10.5194/acp-25-3049-2025
93. Methane and ethane emission scenarios for potential shale gas production in Europe A. Visschedijk et al. https://doi.org/10.5194/adgeo-45-125-2018
94. An evaluation of IASI-NH3 with ground-based Fourier transform infrared spectroscopy measurements E. Dammers et al. https://doi.org/10.5194/acp-16-10351-2016
95. Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. https://doi.org/10.5194/acp-21-5269-2021
96. Improving residential wood burning emission inventories with the integration of readily available data sources J. Zalzal et al. https://doi.org/10.1016/j.scitotenv.2024.174226
97. Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model M. Dawson et al. https://doi.org/10.5194/gmd-15-3663-2022
98. NH3 emissions from large point sources derived from CrIS and IASI satellite observations E. Dammers et al. https://doi.org/10.5194/acp-19-12261-2019
99. CHIMBO Air Quality Modeling System: Verification and Processes Analysis T. Landi et al. https://doi.org/10.3390/atmos15111386
100. Urban canopy meteorological forcing and its impact on ozone and PM2.5: role of vertical turbulent transport P. Huszar et al. https://doi.org/10.5194/acp-20-1977-2020
101. Modelling carbonaceous aerosol from residential solid fuel burning with different assumptions for emissions R. Ots et al. https://doi.org/10.5194/acp-18-4497-2018
102. Coupling European data and local air pollution models for integrated assessment C. Carnevale et al. https://doi.org/10.1016/j.ifacol.2018.06.212
103. Quantifying CO2 emissions of a city with the Copernicus Anthropogenic CO2 Monitoring satellite mission G. Kuhlmann et al. https://doi.org/10.5194/amt-13-6733-2020
104. Decade-long observations of hydrogen soil uptake and traffic emissions in a temperate suburban environment (Gif-sur-Yvette, France) D. Schell et al. https://doi.org/10.1039/D6EA00032K
105. Sensitivity Study of Cloud Cover and Ozone Modeling to Microphysics Parameterization K. Wałaszek et al. https://doi.org/10.1007/s00024-015-1227-2
106. First implementation of secondary inorganic aerosols in the MOCAGE version R2.15.0 chemistry transport model J. Guth et al. https://doi.org/10.5194/gmd-9-137-2016
107. Air quality modelling in the Berlin–Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data F. Kuik et al. https://doi.org/10.5194/gmd-9-4339-2016
108. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. https://doi.org/10.5194/gmd-14-2939-2021
109. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al. https://doi.org/10.5194/acp-21-1759-2021
110. Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System E. Siouti et al. https://doi.org/10.3390/atmos15010008
111. CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling J. Kuenen et al. https://doi.org/10.5194/essd-14-491-2022
112. Effects of Payload on Non-exhaust PM Emissions from Hybrid Electric Vehicle during Braking Sequences E. Wirojsakunchai et al. https://doi.org/10.1088/1755-1315/1013/1/012002
113. Air Control Toolbox (ACT_v1.0): a flexible surrogate model to explore mitigation scenarios in air quality forecasts A. Colette et al. https://doi.org/10.5194/gmd-15-1441-2022
114. On the application and grid-size sensitivity of the urban dispersion model CAIRDIO v2.0 under real city weather conditions M. Weger et al. https://doi.org/10.5194/gmd-15-3315-2022
115. HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. https://doi.org/10.5194/gmd-13-873-2020
116. Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach G. Veratti et al. https://doi.org/10.1016/j.atmosenv.2021.118566
117. Analysis of the Anthropogenic and Biogenic NOx Emissions Over 2008–2017: Assessment of the Trends in the 30 Most Populated Urban Areas in Europe A. Fortems‐Cheiney et al. https://doi.org/10.1029/2020GL092206
118. Ozone air quality simulations with WRF-Chem (v3.5.1) over Europe: model evaluation and chemical mechanism comparison K. Mar et al. https://doi.org/10.5194/gmd-9-3699-2016
119. High-resolution spatial distribution of greenhouse gas emissions in the residential sector O. Danylo et al. https://doi.org/10.1007/s11027-019-9846-z
120. Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models R. Baró et al. https://doi.org/10.5194/acp-17-9677-2017
121. A Gradient-Descent Optimization of CO2–CO–NOx Emissions over the Paris Megacity─The Case of the First SARS-CoV-2 Lockdown C. Abdallah et al. https://doi.org/10.1021/acs.est.3c00566
122. Source apportionment of air pollution in European urban areas: Lessons from the ClairCity project S. Coelho et al. https://doi.org/10.1016/j.jenvman.2022.115899
123. Abundance of NO3 Derived Organo-Nitrates and Their Importance in the Atmosphere A. Foulds et al. https://doi.org/10.3390/atmos12111381
124. High-resolution modelling of air pollution and deposition over the Netherlands with plume, grid and hybrid modelling E. van der Swaluw et al. https://doi.org/10.1016/j.atmosenv.2017.02.009
125. Investigating the behaviour of the CRI-MECH gas-phase chemistry scheme on a regional scale for different seasons using the WRF-Chem model M. Khan et al. https://doi.org/10.1016/j.atmosres.2019.06.021
126. Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations M. Liaskoni et al. https://doi.org/10.5194/acp-23-3629-2023
127. Webcrawling and machine learning as a new approach for the spatial distribution of atmospheric emissions S. Lopez-Aparicio et al. https://doi.org/10.1371/journal.pone.0200650
128. Changes in ozone and PM2.5 in Europe during the period of 1990–2030: Role of reductions in land and ship emissions J. Jiang et al. https://doi.org/10.1016/j.scitotenv.2020.140467
129. Source-sector contributions to European ozone and fine PM in 2010 using AQMEII modeling data P. Karamchandani et al. https://doi.org/10.5194/acp-17-5643-2017
130. 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
131. Columnar and surface urban aerosol in the Moscow megacity according to measurements and simulations with the COSMO-ART model N. Chubarova et al. https://doi.org/10.5194/acp-22-10443-2022
132. Spatiotemporal patterns of the fossil-fuel CO2 signal in central Europe: results from a high-resolution atmospheric transport model Y. Liu et al. https://doi.org/10.5194/acp-17-14145-2017
133. The potential of drone observations to improve air quality predictions by 4D-Var H. Erraji et al. https://doi.org/10.5194/acp-24-13913-2024
134. A Light-Weight Self-Supervised Infrared Image Perception Enhancement Method Y. Xiao et al. https://doi.org/10.3390/electronics13183695
135. Data assimilation of CrIS NH3 satellite observations for improving spatiotemporal NH3 distributions in LOTOS-EUROS S. van der Graaf et al. https://doi.org/10.5194/acp-22-951-2022
136. Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns M. Guevara et al. https://doi.org/10.5194/acp-21-773-2021
137. Do alternative inventories converge on the spatiotemporal representation of spring ammonia emissions in France? A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-20-13481-2020
138. Ozone and aerosol tropospheric concentrations variability analyzed using the ADRIMED measurements and the WRF and CHIMERE models L. Menut et al. https://doi.org/10.5194/acp-15-6159-2015
139. Modelling winter organic aerosol at the European scale with CAMx: evaluation and source apportionment with a VBS parameterization based on novel wood burning smog chamber experiments G. Ciarelli et al. https://doi.org/10.5194/acp-17-7653-2017
140. Mesoscale simulations of atmospheric CO2 variations using a high‐resolution model system with process‐based CO2 fluxes M. Uebel et al. https://doi.org/10.1002/qj.3047
141. Modeling the impact of a potential shale gas industry in Germany and the United Kingdom on ozone with WRF-Chem L. Weger et al. https://doi.org/10.1525/elementa.387
142. Insights from the Convolution of Emission Inventories with Flux Footprints from Tall Eddy Covariance Towers at Three European Cities B. Molinier et al. https://doi.org/10.1021/acsestair.6c00148
143. An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
144. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. https://doi.org/10.1080/10962247.2018.1424057
145. Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions B. Zheng et al. https://doi.org/10.5194/essd-11-1411-2019
146. A new chemistry option in WRF-Chem v. 3.4 for the simulation of direct and indirect aerosol effects using VBS: evaluation against IMPACT-EUCAARI data P. Tuccella et al. https://doi.org/10.5194/gmd-8-2749-2015
147. Emission of primary microplastics in mainland China: Invisible but not negligible T. Wang et al. https://doi.org/10.1016/j.watres.2019.06.042
148. Biomass burning aerosol over Romania using dispersion model and Calipso data V. Nicolae et al. https://doi.org/10.1051/epjconf/201817604012
149. Methane emissions from the Munich Oktoberfest J. Chen et al. https://doi.org/10.5194/acp-20-3683-2020
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151. Resuspension of microplastics and microrubbers in a semi-arid urban environment (Shiraz, Iran) N. Khodabakhshloo et al. https://doi.org/10.1016/j.envpol.2022.120575
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153. Uncertainty analysis of a European high-resolution emission inventory of CO2 and CO to support inverse modelling and network design I. Super et al. https://doi.org/10.5194/acp-20-1795-2020
154. Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives L. Gawuc et al. https://doi.org/10.3390/atmos12111460
155. 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. https://doi.org/10.1016/j.atmosenv.2020.117285
156. A New Approach to the Problem of Reconstructing the Vertical Turbulent Diffusion Coefficient in the Atmospheric Boundary Layer M. Davydova et al. https://doi.org/10.1134/S1028334X20020051
157. Improving spatial surrogates for area source emissions inventories in California Y. Li et al. https://doi.org/10.1016/j.atmosenv.2020.117665
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159. Assessment of the burden on population due to transport-related air pollution: The Czech core motorway network V. Pařil & D. Tóthová https://doi.org/10.1016/j.jclepro.2020.123111
160. State of the Art Emission Inventory and Their Application: Literature review P. Lavrič et al. https://doi.org/10.2478/ijser-2022-0004
161. Development of high-resolution emission inventory to study the relative contribution of a local power plant to criteria air pollutants and Greenhouse gases H. Shahbazi et al. https://doi.org/10.1016/j.uclim.2021.100897
162. Intra-urban air quality under future Representative Concentration Pathways: modeling experiments for an Eastern Mediterranean city E. Athanasopoulou et al. https://doi.org/10.1038/s44407-026-00081-6
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164. 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. https://doi.org/10.5194/gmd-17-587-2024
165. Hyperlocal urban NO2 hotspot modeling driven by microscopic traffic data M. Weger et al. https://doi.org/10.1038/s41612-026-01471-z
166. Bottom-up assessment of atmospheric emissions from service vessels in the Port of Mohammedia (Morocco) and their potential onshore atmospheric transport Y. Geanah et al. https://doi.org/10.1007/s40868-026-00232-0
167. Atmospheric impact of ship traffic in four Adriatic-Ionian port-cities: Comparison and harmonization of different approaches E. Merico et al. https://doi.org/10.1016/j.trd.2016.11.016
168. Differential impact of government lockdown policies on reducing air pollution levels and related mortality in Europe R. Schneider et al. https://doi.org/10.1038/s41598-021-04277-6
169. Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations I. Dekker et al. https://doi.org/10.5194/acp-17-14675-2017
170. Control de la contaminación atmosférica en la Zona Metropolitana del Valle de México A. Navarro Arredondo https://doi.org/10.24201/edu.v34i3.1806
171. Identifying forecast uncertainties for biogenic gases in the Po Valley related to model configuration in EURAD-IM during PEGASOS 2012 A. Vogel & H. Elbern https://doi.org/10.5194/acp-21-4039-2021
172. Role of the boundary layer dynamics effects on an extreme air pollution event in Paris J. Dupont et al. https://doi.org/10.1016/j.atmosenv.2016.06.061
173. A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. https://doi.org/10.1080/16000889.2021.1914989
174. Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. https://doi.org/10.5194/amt-14-5241-2021
175. Reductions in nitrogen oxides over the Netherlands between 2005 and 2018 observed from space and on the ground: Decreasing emissions and increasing O3 indicate changing NOx chemistry M. Zara et al. https://doi.org/10.1016/j.aeaoa.2021.100104
176. Impact of passenger car NOx emissions and NO2 fractions on urban NO2 pollution – Scenario analysis for the city of Antwerp, Belgium B. Degraeuwe et al. https://doi.org/10.1016/j.atmosenv.2015.11.042
177. Benefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric composition S. Quesada-Ruiz et al. https://doi.org/10.5194/amt-13-131-2020
178. Accounting for meteorological biases in simulated plumes using smarter metrics P. Vanderbecken et al. https://doi.org/10.5194/amt-16-1745-2023
179. Influence of complex terrain and anthropogenic emissions on atmospheric CO2 patterns–a high‐resolution numerical analysis M. Uebel & A. Bott https://doi.org/10.1002/qj.3182
180. New Method for Improving Spatial Allocation Accuracy of Industrial Energy Consumption and Implications for Polycyclic Aromatic Hydrocarbon Emissions in China B. Li et al. https://doi.org/10.1021/acs.est.8b06915
181. Concomitant occurrence of anthropogenic air pollutants, mineral dust and fungal spores during long-distance transport of ragweed pollen Ł. Grewling et al. https://doi.org/10.1016/j.envpol.2019.07.116
182. 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 https://doi.org/10.3390/ijerph17062099
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184. The long-term impact of biogenic volatile organic compound emissions on urban ozone patterns over central Europe: contributions from urban and rural vegetation M. Liaskoni et al. https://doi.org/10.5194/acp-24-13541-2024
185. Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. https://doi.org/10.5194/amt-16-2237-2023
186. Determination of Emissions in the City by the Rate of Change in the Integral Content of Impurities in the Atmospheric Boundary Layer S. Zakharova et al. https://doi.org/10.1134/S1028334X22050191
187. 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. https://doi.org/10.1016/j.envint.2023.107835
188. The influence of temperature on ozone production under varying NOx conditions – a modelling study J. Coates et al. https://doi.org/10.5194/acp-16-11601-2016
189. Evaluation of the size segregation of elemental carbon (EC) emission in Europe: influence on the simulation of EC long-range transportation Y. Chen et al. https://doi.org/10.5194/acp-16-1823-2016
190. Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al. https://doi.org/10.5194/acp-24-8183-2024
191. Стационарный тепловой фронт в задаче восстановления коэффициента теплопроводности полупроводника по данным моделирования M. Davydova & G. Rublev https://doi.org/10.4213/tmf10687
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193. Towards climate services for European cities: Lessons learnt from the Copernicus project Urban SIS L. Gidhagen et al. https://doi.org/10.1016/j.uclim.2019.100549
194. HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module M. Guevara et al. https://doi.org/10.5194/gmd-12-1885-2019
195. 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. https://doi.org/10.3390/atmos15020191
196. High resolution application of the EMEP MSC-W model over Eastern Europe – Analysis of the EMEP4PL results M. Werner et al. https://doi.org/10.1016/j.atmosres.2018.04.025
197. Copernicus Atmosphere Monitoring Service – Regional Air Quality Production System v1.0 A. Colette et al. https://doi.org/10.5194/gmd-18-6835-2025
198. Detectability of CO2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO2 Monitoring (CO2M) mission G. Kuhlmann et al. https://doi.org/10.5194/amt-12-6695-2019
199. Combined Effect of High-Resolution Land Cover and Grid Resolution on Surface NO2 Concentrations C. Silveira et al. https://doi.org/10.3390/cli10020019
200. Investigating sources of surface ozone in central Europe during the hot summer in 2018: High temperatures, but not so high ozone H. Zohdirad et al. https://doi.org/10.1016/j.atmosenv.2022.119099
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202. Non-Road Mobile Machinery Emissions and Regulations: A Review R. Hagan et al. https://doi.org/10.3390/air1010002
203. A model study of the pollution effects of the first 3 months of the Holuhraun volcanic fissure: comparison with observations and air pollution effects B. Steensen et al. https://doi.org/10.5194/acp-16-9745-2016
204. Sources of surface O3 in the UK: tagging O3 within WRF-Chem J. Romero-Alvarez et al. https://doi.org/10.5194/acp-22-13797-2022
205. Potential reductions in ambient NO 2 concentrations from meeting diesel vehicle emissions standards E. von Schneidemesser et al. https://doi.org/10.1088/1748-9326/aa8c84
206. Technical note: How are NH3 dry deposition estimates affected by combining the LOTOS-EUROS model with IASI-NH3 satellite observations? S. van der Graaf et al. https://doi.org/10.5194/acp-18-13173-2018
207. Observational evidence reveals the significance of nocturnal chemistry in seasonal secondary organic aerosol formation L. Liu et al. https://doi.org/10.1038/s41612-024-00747-6
208. 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
209. In situ observations of the isotopic composition of methane at the Cabauw tall tower site T. Röckmann et al. https://doi.org/10.5194/acp-16-10469-2016
210. Spatial surrogate for domestic combustion’s air emissions: A case study from Silesian Metropolis, Poland D. Zasina & J. Zawadzki https://doi.org/10.1080/10962247.2017.1316327
211. On the impact of excess diesel NO X emissions upon NO2 pollution in a compact city J. Benavides et al. https://doi.org/10.1088/1748-9326/abd5dd
212. Towards integration of LOTOS-EUROS high resolution simulations and heterogenous low-cost sensor observations I. Skoulidou et al. https://doi.org/10.1016/j.atmosenv.2024.120652
213. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI A. Lorente et al. https://doi.org/10.1038/s41598-019-56428-5
214. Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels M. Koukouli et al. https://doi.org/10.3390/atmos13050840
215. Evaluating stomatal ozone fluxes in WRF-Chem: Comparing ozone uptake in Mediterranean ecosystems J. Rydsaa et al. https://doi.org/10.1016/j.atmosenv.2016.08.057
216. Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models J. Barré et al. https://doi.org/10.5194/acp-21-7373-2021
217. Exposure of the population of southern France to air pollutants in future climate case studies A. Cholakian et al. https://doi.org/10.1016/j.atmosenv.2021.118689
218. Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. https://doi.org/10.1002/2017GL074987
219. Local climate, air quality and leaf litter cover shape foliar fungal communities on an urban tree M. Faticov et al. https://doi.org/10.1007/s13280-024-02041-4
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221. Use of Satellite Data for Air Pollution Modeling in Bulgaria E. Georgieva et al. https://doi.org/10.3390/earth2030034
222. Public participation GIS for improving wood burning emissions from residential heating and urban environmental management S. López-Aparicio et al. https://doi.org/10.1016/j.jenvman.2017.01.018
223. Application of satellite-based sulfur dioxide observations to support the cleantech sector: Detecting emission reduction from copper smelters I. Ialongo et al. https://doi.org/10.1016/j.eti.2018.08.006
224. How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent J. Jin et al. https://doi.org/10.5194/acp-23-1641-2023
225. Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model B. Denby et al. https://doi.org/10.5194/gmd-13-6303-2020
226. Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. https://doi.org/10.3390/atmos12121633
227. An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al. https://doi.org/10.5194/essd-18-167-2026
228. Supporting the improvement of air quality management practices: The “FAIRMODE pilot” activity E. Pisoni et al. https://doi.org/10.1016/j.jenvman.2019.04.118
229. Simulating secondary organic aerosol from missing diesel-related intermediate-volatility organic compound emissions during the Clean Air for London (ClearfLo) campaign R. Ots et al. https://doi.org/10.5194/acp-16-6453-2016
230. A New Separation Methodology for the Maritime Sector Emissions over the Mediterranean and Black Sea Regions A. Pseftogkas et al. https://doi.org/10.3390/atmos12111478
231. Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies B. Bessagnet et al. https://doi.org/10.1007/s11869-023-01469-z
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233. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. https://doi.org/10.5194/gmd-8-2777-2015
234. Evaluation of NOx emissions for Turkey using satellite and ground-based observations E. Oner & B. Kaynak https://doi.org/10.1016/j.apr.2015.10.017
235. 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. https://doi.org/10.5194/gmd-13-1787-2020
236. Modelling anthropogenic aerosol sources and secondary organic aerosol formation: a wintertime study in central Europe H. Wiedenhaus et al. https://doi.org/10.5194/acp-25-12893-2025
237. Rapid transformation of wildfire emissions to harmful background aerosol C. Vasilakopoulou et al. https://doi.org/10.1038/s41612-023-00544-7
238. European NOx emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. https://doi.org/10.5194/acp-19-11821-2019
239. Infrequent new particle formation in a coastal Mediterranean city during the summer A. Aktypis et al. https://doi.org/10.1016/j.atmosenv.2023.119732
240. 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. https://doi.org/10.5194/gmd-13-2451-2020
241. Application of uncertainty and sensitivity analysis to the air quality SHERPA modelling tool E. Pisoni et al. https://doi.org/10.1016/j.atmosenv.2018.04.006
242. SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality K. Stebel et al. https://doi.org/10.3390/rs13112219
243. Multi-level policies for air quality: implications of national and sub-national emission reductions on population exposure E. Peduzzi et al. https://doi.org/10.1007/s11869-018-0613-1
244. Temporal variation of urban aerosol pollution island and its relationship with urban heat island H. Li et al. https://doi.org/10.1016/j.atmosres.2020.104957
245. Influence of biomass burning vapor wall loss correction on modeling organic aerosols in Europe by CAMx v6.50 J. Jiang et al. https://doi.org/10.5194/gmd-14-1681-2021
246. An assessment of aerosol optical properties from remote-sensing observations and regional chemistry–climate coupled models over Europe L. Palacios-Peña et al. https://doi.org/10.5194/acp-18-5021-2018
247. Contribution of ship emissions to the concentration and deposition of air pollutants in Europe S. Aksoyoglu et al. https://doi.org/10.5194/acp-16-1895-2016
248. Simulation of the Dynamics of an NO2 Plume from a Point Source N. Tikhonov et al. https://doi.org/10.1134/S1024856021010115
249. Episode based air quality assessment S. Luo et al. https://doi.org/10.1016/j.atmosenv.2022.119242
250. Assimilation of surface NO2 and O3 observations into the SILAM chemistry transport model J. Vira & M. Sofiev https://doi.org/10.5194/gmd-8-191-2015
251. Deposition of sulphur and nitrogen in Europe 1900–2050. Model calculations and comparison to historical observations M. Engardt et al. https://doi.org/10.1080/16000889.2017.1328945
252. Interaction between isoprene and ozone fluxes in a poplar plantation and its impact on air quality at the European level T. Zenone et al. https://doi.org/10.1038/srep32676
253. Evaluation of modelled summertime convective storms using polarimetric radar observations P. Shrestha et al. https://doi.org/10.5194/acp-22-7593-2022
254. Emissions of methane in Europe inferred by total column measurements D. Wunch et al. https://doi.org/10.5194/acp-19-3963-2019
255. Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts R. Abida et al. https://doi.org/10.5194/acp-17-1081-2017
256. Multi-source SO2 emission retrievals and consistency of satellite and surface measurements with reported emissions V. Fioletov et al. https://doi.org/10.5194/acp-17-12597-2017
257. From emissions to source allocation: Synergies and trade-offs between top-down and bottom-up information L. Sartini et al. https://doi.org/10.1016/j.aeaoa.2020.100088
258. Use of asymptotic analysis for solving the inverse problem of source parameters determination of nitrogen oxide emission in the atmosphere S. Zakharova et al. https://doi.org/10.1080/17415977.2020.1785443
259. On the design and assessment of regional air quality plans: The SHERPA approach P. Thunis et al. https://doi.org/10.1016/j.jenvman.2016.09.049
260. Importance of satellite observations for high-resolution mapping of near-surface NO2 by machine learning M. Kim et al. https://doi.org/10.1016/j.rse.2021.112573
261. Combining Chemical Composition Data and Numerical Modelling for the Assessment of Air Quality in a Mediterranean Port City R. Cesari et al. https://doi.org/10.3390/app11052181
262. Assessment of mesoscale and microscale simulations of a NO2 episode supported by traffic modelling at microscopic level R. San José et al. https://doi.org/10.1016/j.scitotenv.2020.141992
263. Solar “brightening” impact on summer surface ozone between 1990 and 2010 in Europe – a model sensitivity study of the influence of the aerosol–radiation interactions E. Oikonomakis et al. https://doi.org/10.5194/acp-18-9741-2018
264. Eurodelta multi-model simulated and observed particulate matter trends in Europe in the period of 1990–2010 S. Tsyro et al. https://doi.org/10.5194/acp-22-7207-2022
265. How much is particulate matter near the ground influenced by upper-level processes within and above the PBL? A summertime case study in Milan (Italy) evidences the distinctive role of nitrate G. Curci et al. https://doi.org/10.5194/acp-15-2629-2015
266. Variability of black carbon aerosol concentrations and sources at a Mediterranean coastal region A. Milinković et al. https://doi.org/10.1016/j.apr.2021.101221
267. Atmospheric ammonia variability and link with particulate matter formation: a case study over the Paris area C. Viatte et al. https://doi.org/10.5194/acp-20-577-2020
268. Spatial distribution of residential wood combustion emissions in the Nordic countries: How well national inventories represent local emissions? V. Paunu et al. https://doi.org/10.1016/j.atmosenv.2021.118712
269. Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2 S. Zhang et al. https://doi.org/10.3390/rs14195024
270. Attributable deaths in Austria due to ozone under different climate scenarios H. Moshammer et al. https://doi.org/10.1093/eurpub/ckae126
271. PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information P. Castesana et al. https://doi.org/10.5194/essd-14-271-2022
272. 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. https://doi.org/10.5194/gmd-13-1623-2020
273. Sensitivity of air quality modelling to different emission inventories: A case study over Europe P. Thunis et al. https://doi.org/10.1016/j.aeaoa.2021.100111
274. Identification of secondary aerosol precursors emitted by an aircraft turbofan D. Kılıç et al. https://doi.org/10.5194/acp-18-7379-2018
275. Air quality observations onboard commercial and targeted Zeppelin flights in Germany – a platform for high-resolution trace-gas and aerosol measurements within the planetary boundary layer R. Tillmann et al. https://doi.org/10.5194/amt-15-3827-2022
276. 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
277. A fast method for ammonia emission reduction scenario studies: Combining EMEP4NL with the SHERPA tool R. Verweij et al. https://doi.org/10.1016/j.atmosenv.2023.119805
278. RTEII: A new high-resolution (0.1° × 0.1°) road transport emission inventory for India of 74 speciated NMVOCs, CO, NOx, NH3, CH4, CO2, PM2.5 reveals massive overestimation of NOx and CO and missing nitromethane emissions by existing inventories H. Hakkim et al. https://doi.org/10.1016/j.aeaoa.2021.100118
279. Subnational greenhouse gas and land‐based biodiversity footprints in the European Union H. Wilting et al. https://doi.org/10.1111/jiec.13042
280. The Seasonality of PM and NO2 Concentrations in Slovakia and a Comparison with Chemical-Transport Model T. Šedivá & D. Štefánik https://doi.org/10.3390/atmos15101203
281. Assessment of discrepancies between bottom-up and regional emission inventories in Norwegian urban areas S. López-Aparicio et al. https://doi.org/10.1016/j.atmosenv.2017.02.004
282. A new global anthropogenic SO2 emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions F. Liu et al. https://doi.org/10.5194/acp-18-16571-2018
283. On the impact of granularity of space-based urban CO2 emissions in urban atmospheric inversions: A case study for Indianapolis, IN T. Oda et al. https://doi.org/10.1525/elementa.146
284. Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses R. Timmermans et al. https://doi.org/10.5194/acp-19-12811-2019
285. The role of geospatial technologies for sustainable livestock manure management: A systematic review R. Grieco et al. https://doi.org/10.1016/j.scitotenv.2024.176687
286. Global efforts addressing methane emissions is a key factor to further reducing ozone-induced yield losses of crops in Europe F. Hayes et al. https://doi.org/10.1016/j.envpol.2025.126654
287. Ammonia emission time profiles based on manure transport data improve ammonia modelling across north western Europe C. Hendriks et al. https://doi.org/10.1016/j.atmosenv.2016.01.043
288. Health Impacts of Ambient Air Pollution in Finland H. Lehtomäki et al. https://doi.org/10.3390/ijerph15040736
289. Tropospheric NO2 and O3 Response to COVID‐19 Lockdown Restrictions at the National and Urban Scales in Germany V. Balamurugan et al. https://doi.org/10.1029/2021JD035440
290. Analysis of regional CO2 contributions at the high Alpine observatory Jungfraujoch by means of atmospheric transport simulations and δ13C S. Pieber et al. https://doi.org/10.5194/acp-22-10721-2022
291. Evaluating the representation of aerosol optical properties using an online coupled model over the Iberian Peninsula L. Palacios-Peña et al. https://doi.org/10.5194/acp-17-277-2017
292. Air quality and pollutant emissions in the Moscow megacity in 2005–2014 N. Elansky et al. https://doi.org/10.1016/j.atmosenv.2017.11.057
293. Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants J. Dumont Le Brazidec et al. https://doi.org/10.5194/gmd-16-3997-2023
294. Global anthropogenic CO2 emissions and uncertainties as a prior for Earth system modelling and data assimilation M. Choulga et al. https://doi.org/10.5194/essd-13-5311-2021
295. Description and validation of Vehicular Emissions from Road Traffic (VERT) 1.0, an R-based framework for estimating road transport emissions from traffic flows G. Veratti et al. https://doi.org/10.5194/gmd-17-6465-2024
296. Impacts of the COVID-19 lockdown on air pollution at regional and urban background sites in northern Italy J. Putaud et al. https://doi.org/10.5194/acp-21-7597-2021
297. 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. https://doi.org/10.3390/rs11202364
298. An exploratory approach to estimate point emission sources D. Lopes et al. https://doi.org/10.1016/j.atmosenv.2023.120026
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