216 citations as recorded by crossref.

1. The air quality forecast rote: Recent changes and future challenges W. Ryan 10.1080/10962247.2016.1151469
2. Long-Term Exposure to Ultrafine Particulate and Cardiovascular Diseases: A Large-Scale, Multicenter Study in China T. Yang et al. 10.1021/acs.est.5c02544
3. Estimation of the quality of atmospheric dynamics forecasting in the Siberian region using the WRF-ARW mesoscale model Y. Martynova et al. 10.3103/S1068373914070024
4. Correspondence between tree pollen emissions sources and pollen content of the ambient air L. Kremenska et al. 10.1007/s10453-019-09579-x
5. A perspective on urban canopy layer modeling for weather, climate and air quality applications J. Ching 10.1016/j.uclim.2013.02.001
6. Assimilation of surface NO2 and O3 observations into the SILAM chemistry transport model J. Vira & M. Sofiev 10.5194/gmd-8-191-2015
7. Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective A. Kaginalkar et al. 10.1016/j.uclim.2021.100972
8. Aerosol Data Assimilation Using Data from Fengyun-3A and MODIS: Application to a Dust Storm over East Asia in 2011 X. Xia et al. 10.1007/s00376-018-8075-9
9. A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality K. Wang et al. 10.5194/gmd-14-7189-2021
10. Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data H. Nguyen et al. 10.5194/acp-23-2089-2023
11. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. 10.5194/acp-14-317-2014
12. The FireWork air quality forecast system with near-real-time biomass burning emissions: Recent developments and evaluation of performance for the 2015 North American wildfire season R. Pavlovic et al. 10.1080/10962247.2016.1158214
13. Wind-Speed Profile and Roughness Sublayer Depth Modelling in Urban Boundary Layers A. Pelliccioni et al. 10.1007/s10546-016-0141-1
14. Lagrangian vortices in developing tropical cyclones B. Rutherford et al. 10.1002/qj.2616
15. Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al. 10.3390/atmos15010129
16. Performance Analysis of Planetary Boundary Layer Parameterization Schemes in WRF Modeling Set Up over Southern Italy B. Tyagi et al. 10.3390/atmos9070272
17. Construction of the SILAM Eulerian atmospheric dispersion model based on the advection algorithm of Michael Galperin M. Sofiev et al. 10.5194/gmd-8-3497-2015
18. Bulk or modal parameterizations for below‐cloud scavenging of fine, coarse, and giant particles by both rain and snow X. Wang et al. 10.1002/2014MS000392
19. Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1 R. Ghahreman et al. 10.5194/gmd-17-685-2024
20. Sequential aggregation of heterogeneous experts for PM10 forecasting B. Auder et al. 10.1016/j.apr.2016.06.013
21. Fusion of meteorological and air quality data extracted from the web for personalized environmental information services L. Johansson et al. 10.1016/j.envsoft.2014.11.021
22. Unraveling Street-Level Air Pollution upon a Pivotal City of Yangtze River Delta, China R. Feng et al. 10.1007/s41810-021-00093-7
23. Measured and modelled air quality trends in Italy over the period 2003–2010 I. D'Elia et al. 10.5194/acp-21-10825-2021
24. An improved version of the consequence analysis model for chemical emergencies, ESCAPE J. Kukkonen et al. 10.1016/j.atmosenv.2016.11.050
25. 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
26. Epidemiological analysis of ozone and nitrogen impacts on vegetation – Critical evaluation and recommendations S. Braun et al. 10.1016/j.scitotenv.2017.02.225
27. High-resolution air quality simulation over Europe with the chemistry transport model CHIMERE E. Terrenoire et al. 10.5194/gmd-8-21-2015
28. Effects of ambient air pollution from shipping on mortality: A systematic review S. Kiihamäki et al. 10.1016/j.scitotenv.2024.173714
29. Chasing parts in quadrillion: applications of dynamical downscaling in atmospheric pollutant transport modelling during field campaigns A. Poulidis et al. 10.1186/s40645-024-00642-x
30. Air pollution modeling over very complex terrain: An evaluation of WRF-Chem over Switzerland for two 1-year periods M. Ritter et al. 10.1016/j.atmosres.2013.05.021
31. Grid-based spatiotemporal modeling of ambient ozone to assess human exposure using environmental big data X. Meng et al. 10.1016/j.apr.2021.101216
32. Evaluation of high resolution simulated and OMI retrieved tropospheric NO2 column densities over Southeastern Europe I. Zyrichidou et al. 10.1016/j.atmosres.2012.10.028
33. Description and evaluation of the community aerosol dynamics model MAFOR v2.0 M. Karl et al. 10.5194/gmd-15-3969-2022
34. Synergy of Using Nadir and Limb Instruments for Tropospheric Ozone Monitoring (SUNLIT) V. Sofieva et al. 10.5194/amt-15-3193-2022
35. Warm‐air advection, air mass transformation and fog causes rapid ice melt M. Tjernström et al. 10.1002/2015GL064373
36. Dust sensor based on luminescent glazing for control of photovoltaic panels cleaning M. Fathi & M. Abderrezek 10.1007/s10098-017-1367-4
37. Effects of the wildfires in August 2021 on the air quality of Athens through a numerical simulation T. Osswald et al. 10.1071/WF22148
38. Sensitivity of Ozone Dry Deposition to Ecosystem‐Atmosphere Interactions: A Critical Appraisal of Observations and Simulations M. Lin et al. 10.1029/2018GB006157
39. Estimating Snow Mass in North America Through Assimilation of Advanced Microwave Scanning Radiometer Brightness Temperature Observations Using the Catchment Land Surface Model and Support Vector Machines Y. Xue et al. 10.1029/2017WR022219
40. Urban aerosol assessment and forecast: Coimbra case study O. Tchepel et al. 10.1016/j.apr.2020.04.006
41. Modelling chain for the effect of road traffic on air and water quality: Techniques, current status and future prospects M. Fallah Shorshani et al. 10.1016/j.envsoft.2014.11.020
42. Estimating Terrestrial Snow Mass via Multi‐Sensor Assimilation of Synthetic AMSR‐E Brightness Temperature Spectral Differences and Synthetic GRACE Terrestrial Water Storage Retrievals J. Wang et al. 10.1029/2021WR029880
43. Passive versus Active Transport of Saharan Dust Aerosols by African Easterly Waves D. Grogan & T. Nathan 10.3390/atmos12111509
44. Deep multi-task learning for early warnings of dust events implemented for the Middle East R. Sarafian et al. 10.1038/s41612-023-00348-9
45. Modeling the concentration of pollutants using the WRF-ARW atmospheric model and CHIMERE chemistry transport model R. Zaripov et al. 10.3103/S1068373913120042
46. Associations between landscape fires and child morbidity in southern Mozambique: a time-series study A. Curto et al. 10.1016/S2542-5196(23)00251-6
47. Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period G. Kim et al. 10.1080/15481603.2021.1972714
48. Preliminary Tests on the Sensitivity of the FORAIR_IT Air Quality Forecasting System to Different Meteorological Drivers M. Adani et al. 10.3390/atmos11060574
49. Interactions of Physical, Chemical, and Biological Weather Calling for an Integrated Approach to Assessment, Forecasting, and Communication of Air Quality T. Klein et al. 10.1007/s13280-012-0288-z
50. Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies K. de Hoogh et al. 10.1016/j.envint.2014.08.011
51. Performance of European chemistry transport models as function of horizontal resolution M. Schaap et al. 10.1016/j.atmosenv.2015.04.003
52. Modelling study of the atmospheric composition over Cyprus J. Kushta et al. 10.1016/j.apr.2017.09.007
53. Impact of parameterization choices on the restitution of ozone deposition over vegetation A. Le Morvan-Quéméner et al. 10.1016/j.atmosenv.2018.01.003
54. Development of air quality forecasting system in Macedonia, based on WRF-Chem model V. Spiridonov et al. 10.1007/s11869-019-00698-5
55. Application of an Empirical Model to Improve Maximum Value Predictions in CFD-RANS: Insights from Four Scientific Domains G. Efthimiou 10.3390/atmos15091124
56. Benzo[a]pyrene modelling over Italy: comparison with experimental data and source apportionment C. Silibello et al. 10.5094/APR.2012.046
57. Assessment of the 2006-2012 Climatological Fields and Mesoscale Features from Regional Downscaling of CESM Data by WRF-Chem over Southeast Alaska N. Mölders et al. 10.4236/acs.2014.44053
58. Spatial representativeness of air quality monitoring stations: A grid model based approach A. Piersanti et al. 10.1016/j.apr.2015.04.005
59. Constructing the 3D spatial distribution of PM2.5 concentrations during the 2022 Beijing Winter Olympics using LiDAR vertical observation networks and machine learning models Z. Wang et al. 10.1016/j.envint.2025.109875
60. Influence of spatial resolution on population PM2.5 exposure and health impacts A. Korhonen et al. 10.1007/s11869-019-00690-z
61. Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
62. Do atmospheric events explain the arrival of an invasive ladybird (Harmonia axyridis) in the UK? P. Siljamo et al. 10.1371/journal.pone.0219335
63. Contrasting trends of mass and optical properties of aerosols over the Northern Hemisphere from 1992 to 2011 K. Wang et al. 10.5194/acp-12-9387-2012
64. Analysis of pollutants exchange between the Po Valley and the surrounding European region S. Finardi et al. 10.1016/j.uclim.2014.02.002
65. A System for Predicting Pollutant Transport in the Atmosphere R. Ignatov et al. 10.1134/S1024856024701707
66. Cost-effective reductions of PM2.5 concentrations and exposure in Italy A. Ciucci et al. 10.1016/j.atmosenv.2016.05.049
67. Development and Application of the SmartAQ High-Resolution Air Quality and Source Apportionment Forecasting System for European Urban Areas E. Siouti et al. 10.3390/atmos13101693
68. Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion S. Emelina et al. 10.1134/S0001433823040059
69. Formation of organic aerosol in the Paris region during the MEGAPOLI summer campaign: evaluation of the volatility-basis-set approach within the CHIMERE model Q. Zhang et al. 10.5194/acp-13-5767-2013
70. Stratospheric impacts on dust transport and air pollution in West Africa and the Eastern Mediterranean Y. Dai et al. 10.1038/s41467-022-35403-1
71. Two-step AI-aided Bayesian source identification of urban-scale pollution E. Al Aawar et al. 10.1016/j.atmosenv.2024.120388
72. A European aerosol phenomenology - 7: High-time resolution chemical characteristics of submicron particulate matter across Europe M. Bressi et al. 10.1016/j.aeaoa.2021.100108
73. Application of a statistical post-processing technique to a gridded, operational, air quality forecast L. Neal et al. 10.1016/j.atmosenv.2014.09.004
74. Understanding the Interplay between Air Pollution, Biological Variables, and Major Depressive Disorder: Rationale and Study Protocol of the DeprAir Study E. Borroni et al. 10.3390/ijerph20065196
75. Environmental data extraction from heatmaps using the AirMerge system V. Epitropou et al. 10.1007/s11042-015-2604-7
76. Dynamical-statistical method for seasonal forecasting of wintertime PM10 concentration in South Korea using multi-model ensemble climate forecasts J. Choi et al. 10.1088/1748-9326/ad5030
77. Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005 M. Prank et al. 10.5194/acp-16-6041-2016
78. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V. Marécal et al. 10.5194/gmd-8-2777-2015
79. 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
80. Assessment of winter air pollution episodes using long-range transport modeling in Hangzhou, China, during World Internet Conference, 2015 Z. Ni et al. 10.1016/j.envpol.2018.01.069
81. Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME) W. Sessions et al. 10.5194/acp-15-335-2015
82. Quality of the Governing Temperature Variables in WRF in relation to Simulation of Primary Biological Aerosols C. Skjøth et al. 10.1155/2015/412658
83. Evaluation of Meso-NH and WRF/CHEM simulated gas and aerosol chemistry over Europe based on hourly observations A. Berger et al. 10.1016/j.atmosres.2016.02.006
84. Modeling the multiphase processing of an urban and a rural air mass with COSMO–MUSCAT R. Schrödner et al. 10.1016/j.uclim.2014.02.001
85. Challenges and Opportunities in Lidar Remote Sensing Z. Wang & M. Menenti 10.3389/frsen.2021.641723
86. Exploration of Synthetic Terrestrial Snow Mass Estimation via Assimilation of AMSR‐E Brightness Temperature Spectral Differences Using the Catchment Land Surface Model and Support Vector Machine Regression J. Wang et al. 10.1029/2020WR027490
87. An evaluation of the impact of aerosol particles on weather forecasts from a biomass burning aerosol event over the Midwestern United States: observational-based analysis of surface temperature J. Zhang et al. 10.5194/acp-16-6475-2016
88. The challenges of air quality modelling when crossing multiple spatial scales C. Silveira et al. 10.1007/s11869-019-00733-5
89. Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks E. Sharma et al. 10.1109/ACCESS.2020.3039002
90. Reassessing air pollution exposure: How daily mobility and activities shape individual risk in greater Paris T. Benoussaïd et al. 10.1016/j.compenvurbsys.2025.102340
91. Impact of a future H 2 transportation on atmospheric pollution in Europe M. Popa et al. 10.1016/j.atmosenv.2015.03.022
92. A model for environmental data extraction from multimedia and its evaluation against various chemical weather forecasting datasets A. Moumtzidou et al. 10.1016/j.ecoinf.2013.08.003
93. 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
94. Classifying and quantifying decadal changes in wet deposition over Southeast and East Asia using EANET, OMI, and GPCP S. Wang et al. 10.1016/j.atmosres.2024.107400
95. The Italian National Air Pollution Control Programme: Air Quality, Health Impact and Cost Assessment A. Piersanti et al. 10.3390/atmos12020196
96. Causes and factors of positive surface ozone anomalies in the Moscow region and on the southeastern coast of the Crimea A. Zvyagintsev et al. 10.1134/S1024856016060178
97. Application of an Online-Coupled Regional Climate Model, WRF-CAM5, over East Asia for Examination of Ice Nucleation Schemes: Part I. Comprehensive Model Evaluation and Trend Analysis for 2006 and 2011 Y. Chen et al. 10.3390/cli3030627
98. Data assimilation experiments over Europe with the Chemical Transport Model FARM M. Adani & F. Uboldi 10.1016/j.atmosenv.2023.119806
99. Fires as a source of annual ambient PM2.5 exposure and chronic health impacts in Europe S. Chowdhury et al. 10.1016/j.scitotenv.2024.171314
100. Crop harvest in Denmark and Central Europe contributes to the local load of airborne Alternaria spore concentrations in Copenhagen C. Skjøth et al. 10.5194/acp-12-11107-2012
101. Towards a regional dust modeling system in the central Middle East: Evaluation, uncertainties and recommendations S. Kontos et al. 10.1016/j.atmosenv.2020.118160
102. Vegetation collection efficiency of ultrafine particles: From single fiber to porous media M. Lin et al. 10.1002/2013JD020917
103. A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms E. Sharma et al. 10.1016/j.scitotenv.2019.135934
104. An Overview of the Urban Boundary Layer Atmosphere Network in Helsinki C. Wood et al. 10.1175/BAMS-D-12-00146.1
105. Bending Angle and Temperature Climatologies from Global Positioning System Radio Occultations R. Biondi & T. Neubert 10.7167/2013/795749
106. Spatial prediction of outdoor thermal comfort using an operational NWP model for city and regional scales: A case study in Korea J. Shin et al. 10.1016/j.uclim.2022.101286
107. Simulated air quality and pollutant budgets over Europe in 2008 U. Im et al. 10.1016/j.scitotenv.2013.09.090
108. Impact of topography on the near‐surface wind characteristics over an actual hilly island using computational fluid dynamics simulations S. Tang et al. 10.1002/qj.4973
109. Aerobiological modelling II: A review of long-range transport models A. Vélez-Pereira et al. 10.1016/j.scitotenv.2022.157351
110. MAX-DOAS tropospheric nitrogen dioxide column measurements compared with the Lotos-Euros air quality model T. Vlemmix et al. 10.5194/acp-15-1313-2015
111. Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al. 10.1016/j.scitotenv.2023.162825
112. POMI: a model inter-comparison exercise over the Po Valley D. Pernigotti et al. 10.1007/s11869-013-0211-1
113. Revisiting urban air quality forecasting: a regression approach K. Karatzas et al. 10.1007/s40595-018-0113-0
114. Atmospheric Dynamics and Ozone Cycle during Sea Breeze in a Mediterranean Complex Urbanized Coastal Site S. Finardi et al. 10.1175/JAMC-D-17-0117.1
115. A shift in emission time profiles of fossil fuel combustion due to energy transitions impacts source receptor matrices for air quality C. Hendriks et al. 10.1039/C4EM00444B
116. Spatial-temporal prediction of ambient nitrogen dioxide and ozone levels over Italy using a Random Forest model for population exposure assessment C. Silibello et al. 10.1007/s11869-021-00981-4
117. Learning physically interpretable deep networks from reanalysis data for medium-term regional PM2.5 forecasts M. Zhu et al. 10.1088/1748-9326/ade606
118. E pluribus unum*: ensemble air quality predictions S. Galmarini et al. 10.5194/acp-13-7153-2013
119. Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece T. Drosoglou et al. 10.5194/acp-17-5829-2017
120. Sensitivity of air pollution simulations with LOTOS-EUROS to the temporal distribution of anthropogenic emissions A. Mues et al. 10.5194/acp-14-939-2014
121. Analysis of UK and European NOx and VOC emission scenarios in the Defra model intercomparison exercise R. Derwent et al. 10.1016/j.atmosenv.2014.05.036
122. Analog ensemble technique to post-process WRF-CAMx ozone and particulate matter forecasts E. Solomou et al. 10.1016/j.atmosenv.2021.118439
123. The influence of resolved convective motions on scalar dispersion in hectometric‐scale numerical weather prediction models L. Blunn et al. 10.1002/qj.4632
124. Explainable sequence-to-sequence GRU neural network for pollution forecasting S. Mirzavand Borujeni et al. 10.1038/s41598-023-35963-2
125. An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables A. Ahmed et al. 10.1016/j.scitotenv.2023.167234
126. Modeling nanomaterial fate and uptake in the environment: current knowledge and future trends M. Baalousha et al. 10.1039/C5EN00207A
127. Predictability of tropical vegetation greenness using sea surface temperatures* B. Yan et al. 10.1088/2515-7620/ab178a
128. Estimating Daily PM2.5 and PM10 over Italy Using an Ensemble Model A. Shtein et al. 10.1021/acs.est.9b04279
129. Assessment of the AMS-MINNI system capabilities to simulate air quality over Italy for the calendar year 2005 M. Mircea et al. 10.1016/j.atmosenv.2013.11.006
130. Ragweed (Ambrosia) pollen source inventory for Austria G. Karrer et al. 10.1016/j.scitotenv.2015.03.108
131. A Reinterpretation of Phenomenological Modeling Approaches for Lagrangian Particles Settling in a Turbulent Boundary Layer A. Grace et al. 10.1007/s10546-024-00858-w
132. Non-isothermal scavenging of highly soluble gaseous pollutants by rain in the atmosphere with non-uniform vertical concentration and temperature distributions T. Elperin et al. 10.1007/s00703-014-0330-8
133. Modelled NO2 tropospheric columns at different resolutions versus OMI satellite data: analysis of a 1-year BOLCHEM simulation over Europe L. Aidaoui et al. 10.1007/s11869-015-0315-x
134. Reviewing the links and feedbacks between climate change and air pollution in Europe U. Im et al. 10.3389/fenvs.2022.954045
135. Impacts of climate and emission changes on nitrogen deposition in Europe: a multi-model study D. Simpson et al. 10.5194/acp-14-6995-2014
136. Fine-Scale Exposure to Allergenic Pollen in the Urban Environment: Evaluation of Land Use Regression Approach J. Hjort et al. 10.1289/ehp.1509761
137. Quality control and gap-filling of PM10 daily mean concentrations with the best linear unbiased estimator R. Sozzi et al. 10.1007/s10661-017-6273-z
138. Past exposure to PM10 and lung cancer risk in the EAGLE case–control study L. Fedrizzi et al. 10.1038/s41598-025-17159-y
139. Overview of current regional and local scale air quality modelling practices: Assessment and planning tools in the EU P. Thunis et al. 10.1016/j.envsci.2016.03.013
140. Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer P. Monks et al. 10.5194/acp-15-8889-2015
141. A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5 L. Guo et al. 10.1007/s11356-019-06605-w
142. Ozone pollution: What can we see from space? A case study G. Foret et al. 10.1002/2013JD021340
143. Modelling chemistry and transport in urban street canyons: Comparing offline multi-box models with large-eddy simulation Y. Dai et al. 10.1016/j.atmosenv.2021.118709
144. The potential impact of biogenic volatile organic compounds (BVOCs) from terrestrial vegetation on a Mediterranean area using two different emission models P. Ciccioli et al. 10.1016/j.agrformet.2022.109255
145. The Development and Application of Machine Learning in Atmospheric Environment Studies L. Zheng et al. 10.3390/rs13234839
146. 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
147. Water-soluble inorganic ions of size-differentiated atmospheric particles from a suburban site of Mexico City T. Castro et al. 10.1007/s10874-017-9369-5
148. Downscaling system for modeling of atmospheric composition on regional, urban and street scales R. Nuterman et al. 10.5194/acp-21-11099-2021
149. Impacts of regional climate change on air quality projections and associated uncertainties G. Lacressonnière et al. 10.1007/s10584-016-1619-z
150. Methods for Assessing Long-Term Exposures to Outdoor Air Pollutants G. Hoek 10.1007/s40572-017-0169-5
151. MATCH-SALSA – Multi-scale Atmospheric Transport and CHemistry model coupled to the SALSA aerosol microphysics model – Part 1: Model description and evaluation C. Andersson et al. 10.5194/gmd-8-171-2015
152. Modeling of the chemical composition of fine particulate matter: Development and performance assessment of EASYWRF-Chem M. Mendez et al. 10.1016/j.atmosres.2015.11.006
153. Identifying a suitable model for predicting hourly pollutant concentrations by using low-cost microstation data and machine learning R. Yang et al. 10.1038/s41598-022-24470-5
154. Modelling Hourly Particulate Matter (PM10) Concentrations at High Spatial Resolution in Germany Using Land Use Regression and Open Data S. Wallek et al. 10.3390/atmos13081282
155. Assessment of the Impacts of Different Carbon Sources and Sinks on Atmospheric CO2 Concentrations Based on GEOS-Chem G. Qu et al. 10.3390/rs17061009
156. An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation L. Johansson et al. 10.1016/j.envsoft.2022.105460
157. Seasonal Hydrodynamic Forecasts of INM-CM5 Model for Estimation of the Start of the Birch Pollen Season S. Emelina et al. 10.31857/S0002351523040053
158. Performance Evaluation of CCAM-CTM Regional Airshed Modelling for the New South Wales Greater Metropolitan Region L. Chang et al. 10.3390/atmos9120486
159. A numerical model of birch pollen emission and dispersion in the atmosphere. Description of the emission module M. Sofiev et al. 10.1007/s00484-012-0532-z
160. 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
161. 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
162. Mapping and Assessment of PM10 and O3 Removal by Woody Vegetation at Urban and Regional Level L. Fusaro et al. 10.3390/rs9080791
163. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
164. ANISORROPIA: the adjoint of the aerosol thermodynamic model ISORROPIA S. Capps et al. 10.5194/acp-12-527-2012
165. Air Pollution Forecasts: An Overview L. Bai et al. 10.3390/ijerph15040780
166. A similarity distance-based space-time random forest model for estimating PM2.5 concentrations over China S. Guan et al. 10.1016/j.atmosenv.2023.120043
167. In Vitro Exposures in Diesel Exhaust Atmospheres: Resuspension of PM from Filters versus Direct Deposition of PM from Air K. Lichtveld et al. 10.1021/es301431s
168. Advances in air quality modeling and forecasting A. Baklanov & Y. Zhang 10.1016/j.glt.2020.11.001
169. A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe L. Vitali et al. 10.5194/gmd-16-6029-2023
170. Optimization of the sulfate aerosol hygroscopicity parameter in WRF-Chem A. Kim et al. 10.5194/gmd-14-259-2021
171. Observations and modeling of air quality trends over 1990–2010 across the Northern Hemisphere: China, the United States and Europe J. Xing et al. 10.5194/acp-15-2723-2015
172. Sequential data assimilation algorithms for air quality monitoring models based on a weak-constraint variational principle A. Penenko et al. 10.1134/S1995423916040054
173. A multi-city air pollution population exposure study: Combined use of chemical-transport and random-Forest models with dynamic population data C. Gariazzo et al. 10.1016/j.scitotenv.2020.138102
174. Lessons learnt for air pollution mitigation policies from the COVID-19 pandemic: The Italian perspective M. D'Isidoro et al. 10.1016/j.apr.2022.101620
175. Efficient Method of Moments for Simulating Atmospheric Aerosol Growth: Model Description, Verification, and Application J. Shen et al. 10.1029/2019JD032172
176. Light Scattering and Extinction Measurements Combined with Laser-Induced Incandescence for the Real-Time Determination of Soot Mass Absorption Cross Section Y. Wei et al. 10.1021/ac401901b
177. Real-time air quality forecasting over the southeastern United States using WRF/Chem-MADRID: Multiple-year assessment and sensitivity studies K. Yahya et al. 10.1016/j.atmosenv.2014.04.024
178. 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. 10.1080/10962247.2020.1743794
179. Air quality modeling intercomparison and multiscale ensemble chain for Latin America J. Pachón et al. 10.5194/gmd-17-7467-2024
180. Development of a monthly PM2.5 forecast model for Seoul, Korea, based on the dynamic climate forecast and a convolutional neural network algorithm I. Park et al. 10.1016/j.atmosres.2024.107576
181. Digital Twins of Urban Air Quality: Opportunities and Challenges D. Topping et al. 10.3389/frsc.2021.786563
182. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
183. Lidar-based remote sensing of atmospheric boundary layer height over land and ocean T. Luo et al. 10.5194/amt-7-173-2014
184. Influence of aerosols on atmospheric variables in the HARMONIE model I. Palamarchuk et al. 10.1016/j.atmosres.2015.08.001
185. Modeling the Odor Generation in WWTP: An Integrated Approach Review F. Carrera-Chapela et al. 10.1007/s11270-014-1932-y
186. Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017 M. Adani et al. 10.1016/j.apr.2022.101456
187. Impact of Improved Mellor–Yamada Turbulence Model on Tropical Cyclone-Induced Vertical Mixing in the Oceanic Boundary Layer T. Kim & J. Moon 10.3390/jmse8070497
188. Feasibility study of a total precipitable water IPDA lidar from a solar-powered stratospheric aircraft J. Dykema et al. 10.1364/AO.494101
189. Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data B. Goldsworthy et al. 10.1016/j.atmosenv.2019.116829
190. Impact of aerosol–meteorology interactions on fine particle pollution during China’s severe haze episode in January 2013 J. Wang et al. 10.1088/1748-9326/9/9/094002
191. Comprehensive evaluation of multi-year real-time air quality forecasting using an online-coupled meteorology-chemistry model over southeastern United States Y. Zhang et al. 10.1016/j.atmosenv.2016.05.006
192. Estimation of the Light Absorption Contribution for Asian Dust and Polluted Particles at Gosan, Jeju during the Asian Dust Episode in the Spring 2011 S. Lee et al. 10.5572/KOSAE.2012.28.4.411
193. Characterizing Smoke Haze Events in Australia Using a Hybrid Approach of Satellite-Based Aerosol Optical Depth and Chemical Transport Modeling M. Sowden et al. 10.3390/rs16071266
194. Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction S. Ghimire et al. 10.1016/j.atmosenv.2025.121079
195. Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations A. Safronov et al. 10.3390/rs70100395
196. A model validation study of the washout/rainout contribution of sulfate and nitrate in wet deposition compared with precipitation chemistry data in Japan M. Kajino & M. Aikawa 10.1016/j.atmosenv.2015.06.042
197. MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe M. Sofiev et al. 10.5194/acp-15-8115-2015
198. Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system A. Mizzi et al. 10.5194/gmd-9-965-2016
199. Automated Construction of the Basic Dynamic Models of the Atmospheric Photochemical Systems Using the RADM2 Chemical Mechanism as an Example V. Kulikov & A. Feigin 10.1007/s11141-014-9530-9
200. Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2.5 C. Lin et al. 10.1016/j.rse.2014.09.015
201. Development and verification of a taxa-specific gridded pollen modelling system for the UK L. Neal et al. 10.1007/s10453-025-09858-w
202. Regional scale ozone data assimilation using an ensemble Kalman filter and the CHIMERE chemical transport model B. Gaubert et al. 10.5194/gmd-7-283-2014
203. Saharan Dust Transport Predictability Utilizing a Subseasonal Experiment (SubX) Model S. Kramer & B. Kirtman 10.1029/2020JD033802
204. How does two-way coupling modify particle settling and the role of multiscale preferential sweeping? J. Tom et al. 10.1017/jfm.2022.615
205. Application of bias adjustment techniques to improve air quality forecasts C. Silibello et al. 10.1016/j.apr.2015.04.002
206. Explicit Modeling of Meteorological Explanatory Variables in Short-Term Forecasting of Maximum Ozone Concentrations via a Multiple Regression Time Series Framework S. Iglesias-Gonzalez et al. 10.3390/atmos11121304
207. Modelling the dispersion of particle numbers in five European cities J. Kukkonen et al. 10.5194/gmd-9-451-2016
208. Application of WRF/Chem over East Asia: Part I. Model evaluation and intercomparison with MM5/CMAQ Y. Zhang et al. 10.1016/j.atmosenv.2015.07.022
209. Improving of local ozone forecasting by integrated models D. Gradišar et al. 10.1007/s11356-016-6989-2
210. Improving ozone forecasts over Europe by synergistic use of the LOTOS-EUROS chemical transport model and in-situ measurements R. Curier et al. 10.1016/j.atmosenv.2012.06.017
211. Real-time air quality forecasting, part I: History, techniques, and current status Y. Zhang et al. 10.1016/j.atmosenv.2012.06.031
212. Secondary inorganic aerosol evaluation: Application of a transport chemical model in the eastern part of the Po Valley E. Pecorari et al. 10.1016/j.atmosenv.2014.08.045
213. New Directions: The need to develop process-based emission forecasting models D. Tong et al. 10.1016/j.atmosenv.2011.10.070
214. Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects Y. Zhang et al. 10.1016/j.atmosenv.2012.02.041
215. Using a photochemical model to assess the horizontal, vertical and time distribution of PM2.5 in a complex area: Relationships between the regional and local sources and the meteorological conditions E. Pecorari et al. 10.1016/j.scitotenv.2012.11.047
216. Evaluation of the meteorological forcing used for the Air Quality Model Evaluation International Initiative (AQMEII) air quality simulations R. Vautard et al. 10.1016/j.atmosenv.2011.10.065