278 citations as recorded by crossref.

1. Water Pathways for the Hindu-Kush-Himalaya and an Analysis of Three Flood Events R. Boschi & V. Lucarini https://doi.org/10.3390/atmos10090489
2. Investigation of Volcanic Emissions in the Mediterranean: “The Etna–Antikythera Connection” A. Kampouri et al. https://doi.org/10.3390/atmos12010040
3. Changes in the Distribution Pattern of PM2.5 Pollution over Central China L. Shen et al. https://doi.org/10.3390/rs13234855
4. Tropical easterly waves in the North Atlantic basin and their precipitating moisture sources: Insights from a downscaled climatological analysis O. Córdova-García et al. https://doi.org/10.1016/j.atmosres.2025.108727
5. Prediction of the Impact of Meteorological Conditions on Air Quality during the 2022 Beijing Winter Olympics T. Wang et al. https://doi.org/10.3390/su14084574
6. Simulated Dust Transport in the Convective Boundary Layer G. Cornwell et al. https://doi.org/10.1029/2020JD033429
7. Numerical Simulation of Topography Impact on Transport and Source Apportionment on PM2.5 in a Polluted City in Fenwei Plain Y. Li et al. https://doi.org/10.3390/atmos13020233
8. Investigation of the geographical origins of PM10 based on long, medium and short-range air mass back-trajectories impacting Northern France during the period 2009–2013 A. Waked et al. https://doi.org/10.1016/j.atmosenv.2018.08.015
9. Summertime Post-Cold-Frontal Marine Stratocumulus Transition Processes over the Eastern North Atlantic M. kazemirad & M. Miller https://doi.org/10.1175/JAS-D-19-0167.1
10. Mercury in the free troposphere and bidirectional atmosphere–vegetation exchanges – insights from Maïdo mountain observatory in the Southern Hemisphere tropics A. Koenig et al. https://doi.org/10.5194/acp-23-1309-2023
11. Stable sulfur isotope ratios and chemical compositions of fine aerosols (PM2.5) in Beijing, China L. Wei et al. https://doi.org/10.1016/j.scitotenv.2018.03.153
12. An EARLINET early warning system for atmospheric aerosol aviation hazards N. Papagiannopoulos et al. https://doi.org/10.5194/acp-20-10775-2020
13. A review of numerical models to predict the atmospheric dispersion of radionuclides Á. Leelőssy et al. https://doi.org/10.1016/j.jenvrad.2017.11.009
14. Enhanced Moisture Uptake Drives Projected Increases in North Atlantic Tropical Cyclone Precipitation A. Pérez-Alarcón et al. https://doi.org/10.34133/olar.0145
15. Numerical simulation of the impact of reforestation on winter meteorology and environment in a semi-arid urban valley, Northwestern China Y. Yu et al. https://doi.org/10.1016/j.scitotenv.2016.06.143
16. Multi-year monitoring of atmospheric total gaseous mercury at a remote high-altitude site (Nam Co, 4730 m a.s.l.) in the inland Tibetan Plateau region X. Yin et al. https://doi.org/10.5194/acp-18-10557-2018
17. Exploring the characteristics and sources of carbonaceous aerosols in the agro-pastoral transitional zone of Northern China Y. Hao et al. https://doi.org/10.1016/j.envpol.2019.03.073
18. Numerical Simulation Study of Winter Pollutant Transport Characteristics over Lanzhou City, Northwest China J. He et al. https://doi.org/10.3390/atmos9100382
19. Hybrid Parcel Tracker (HPT) – A Python-based framework to analyse moisture movement during extreme precipitation events M. Shukla et al. https://doi.org/10.1016/j.atmosres.2026.109136
20. Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations B. De Rosa et al. https://doi.org/10.3390/rs14194984
21. Development of a Dynamic Downscaling Method for Use in Short-Range Atmospheric Dispersion Modeling Near Nuclear Power Plants S. Lee et al. https://doi.org/10.14407/jrpr.2022.00073
22. Strong regional atmospheric 14C signature of respired CO2 observed from a tall tower over the midwestern United States B. LaFranchi et al. https://doi.org/10.1002/2015JG003271
23. Modeling and remote sensing of an indirect Pyro-Cb formation and biomass transport from Portugal wildfires towards Europe S. Solomos et al. https://doi.org/10.1016/j.atmosenv.2019.03.009
24. Development and application of a street-level meteorology and pollutant tracking system (S-TRACK) H. Zhang et al. https://doi.org/10.5194/acp-22-2221-2022
25. Assessing Forest Canopy Impacts on Smoke Concentrations Using a Coupled Numerical Model J. Charney et al. https://doi.org/10.3390/atmos10050273
26. Source apportionment of PM2.5 in the most polluted Central Plains Economic Region in China: Implications for joint prevention and control of atmospheric pollution W. Yang et al. https://doi.org/10.1016/j.jclepro.2020.124557
27. Seasonal variations of primary biological and biomass burning aerosols in the central Himalayas P. Fu et al. https://doi.org/10.1016/j.fmre.2024.05.020
28. Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements G. Varlas et al. https://doi.org/10.3390/rs13040614
29. A new method for multi-point pollution source identification J. Wang et al. https://doi.org/10.1016/j.aosl.2021.100098
30. Frequent haze events associated with transport and stagnation over the corridor between the North China Plain and Yangtze River Delta F. Yan et al. https://doi.org/10.5194/acp-24-2365-2024
31. Visual Analytics of Air Pollution Propagation Through Dynamic Network Analysis K. Ren et al. https://doi.org/10.1109/ACCESS.2020.3036354
32. A new aerosol wet removal scheme for the Lagrangian particle model FLEXPART v10 H. Grythe et al. https://doi.org/10.5194/gmd-10-1447-2017
33. A new implementation of FLEXPART with Enviro-HIRLAM meteorological input, and a case study during a heavy air pollution event B. Foreback et al. https://doi.org/10.1080/20964471.2024.2316320
34. Modelled sources of airborne microplastics collected at a remote Southern Hemisphere site A. Aves et al. https://doi.org/10.1016/j.atmosenv.2024.120437
35. Air quality and radiative impacts of Arctic shipping emissions in the summertime in northern Norway: from the local to the regional scale L. Marelle et al. https://doi.org/10.5194/acp-16-2359-2016
36. A new moisture tagging capability in the Weather Research and Forecasting model: formulation, validation and application to the 2014 Great Lake-effect snowstorm D. Insua-Costa & G. Miguez-Macho https://doi.org/10.5194/esd-9-167-2018
37. Local Arctic air pollution: Sources and impacts K. Law et al. https://doi.org/10.1007/s13280-017-0962-2
38. Evaluation of Stratospheric Intrusions and Biomass Burning Plumes on the Vertical Distribution of Tropospheric Ozone Over the Midwestern United States J. Wilkins et al. https://doi.org/10.1029/2020JD032454
39. Microscale anthropogenic pollution modelling in a small tropical island during weak trade winds: Lagrangian particle dispersion simulations using real nested LES meteorological fields R. Cécé et al. https://doi.org/10.1016/j.atmosenv.2016.05.028
40. Top-Down Evaluation of Volatile Chemical Product Emissions Using a Lagrangian Framework B. Verreyken et al. https://doi.org/10.1021/acs.est.4c10117
41. Transport Patterns and Potential Sources of Atmospheric Pollution during the XXIV Olympic Winter Games Period Y. Zhang et al. https://doi.org/10.1007/s00376-022-1463-1
42. Evaluation of the Ventilation Index in Complex Terrain: A Dispersion Modeling Study M. Kiefer et al. https://doi.org/10.1175/JAMC-D-18-0201.1
43. Measurement report: Source apportionment of volatile organic compounds at the remote high-altitude Maïdo observatory B. Verreyken et al. https://doi.org/10.5194/acp-21-12965-2021
44. Dimethyl sulfide in the summertime Arctic atmosphere: measurements and source sensitivity simulations E. Mungall et al. https://doi.org/10.5194/acp-16-6665-2016
45. Moisture Sources of the Tohoku Heavy Rainfalls in August 2022 and the Influences of Tropical Storms N. Zhao et al. https://doi.org/10.1029/2023GL104166
46. Validation of ash cloud modelling with satellite retrievals: a case study of the 16–17 June 1996 Mount Ruapehu eruption J. Liu et al. https://doi.org/10.1007/s11069-015-1753-3
47. Real-time simulation of accidental passive transport of radioactive pollutant from a proposed nuclear power plant I. Ahmad et al. https://doi.org/10.1088/1361-6498/abf3af
48. Investigating processes influencing simulation of local Arctic wintertime anthropogenic pollution in Fairbanks, Alaska, during ALPACA-2022 N. Brett et al. https://doi.org/10.5194/acp-25-1063-2025
49. Impacts of Sources on PM2.5 Oxidation Potential during and after the Asia-Pacific Economic Cooperation Conference in Huairou, Beijing Y. Wang et al. https://doi.org/10.1021/acs.est.9b05468
50. Quantified the influence of different synoptic weather patterns on the transport and local production processes of O3 events in Pearl River Delta, China Y. You et al. https://doi.org/10.1016/j.scitotenv.2023.169066
51. Assessment of the origin of moisture for the precipitation of North Atlantic extratropical cyclones: Insights from downscaled ERA5 P. Coll-Hidalgo et al. https://doi.org/10.1016/j.atmosres.2025.108205
52. Characteristics of atmospheric black carbon and other aerosol particles over the Arctic Ocean in early autumn 2016: Influence from biomass burning as assessed with observed microphysical properties and model simulations F. Taketani et al. https://doi.org/10.1016/j.scitotenv.2022.157671
53. Volcanic emission estimates from the inversion of ACTRIS lidar observations and their use for quantitative dispersion modeling A. Kampouri et al. https://doi.org/10.5194/acp-25-7343-2025
54. Can Delhi's Pollution be Affected by Crop Fires in the Punjab Region? M. Takigawa et al. https://doi.org/10.2151/sola.2020-015
55. Impact of land surface processes on the simulation of sea breeze circulation and tritium dispersion over the Kaiga complex terrain region near west coast of India using the Weather Research and Forecasting (WRF) model A. Aravind et al. https://doi.org/10.1016/j.aeaoa.2022.100149
56. Rainfall Stable Water Isotope Variability in Coastal Southwestern Western Australia and Its Relationship to Climate on Multiple Timescales A. Griffiths et al. https://doi.org/10.1029/2021JD035433
57. The increasing influence of atmospheric moisture transport on hydrometeorological extremes in the Euromediterranean region with global warming L. Gimeno-Sotelo et al. https://doi.org/10.1038/s43247-024-01787-9
58. Importance of meteorology in air pollution events during the city lockdown for COVID-19 in Hubei Province, Central China L. Shen et al. https://doi.org/10.1016/j.scitotenv.2020.142227
59. Domain-specific acceleration and auto-parallelization of legacy scientific code in FORTRAN 77 using source-to-source compilation W. Vanderbauwhede & G. Davidson https://doi.org/10.1016/j.compfluid.2018.06.005
60. Ice nucleating particles in the marine boundary layer in the Canadian Arctic during summer 2014 V. Irish et al. https://doi.org/10.5194/acp-19-1027-2019
61. The Potential of GRASP/GARRLiC Retrievals for Dust Aerosol Model Evaluation: Case Study during the PreTECT Campaign D. Konsta et al. https://doi.org/10.3390/rs13050873
62. Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017 B. Roozitalab et al. https://doi.org/10.5194/acp-21-2837-2021
63. Surface ozone at Nam Co in the inland Tibetan Plateau: variation, synthesis comparison and regional representativeness X. Yin et al. https://doi.org/10.5194/acp-17-11293-2017
64. East Asian dust storm in May 2017: observations, modelling, and its influence on the Asia-Pacific region X. Zhang et al. https://doi.org/10.5194/acp-18-8353-2018
65. Fast Formation of Nitro-PAHs in the Marine Atmosphere Constrained in a Regional-Scale Lagrangian Field Experiment M. Mulder et al. https://doi.org/10.1021/acs.est.9b03090
66. Observed decade-long improvement of combustion efficiency in the Yangtze River Delta region in China J. Zhao et al. https://doi.org/10.1088/1748-9326/ad521e
67. A Multiplatform Inversion Estimation of Statewide and Regional Methane Emissions in California during 2014–2016 Y. Cui et al. https://doi.org/10.1021/acs.est.9b01769
68. Industrial point source CO2 emission strength estimation with aircraft measurements and dispersion modelling F. Carotenuto et al. https://doi.org/10.1007/s10661-018-6531-8
69. Application of the Garrlic Algorithm for the Characterization of Dust and Marine Particles Utilizing the Lidar-Sunphotometer Synergy A. Tsekeri et al. https://doi.org/10.1051/epjconf/201611923021
70. Air pollution terrain nexus: A review considering energy generation and consumption X. Wang et al. https://doi.org/10.1016/j.rser.2019.01.049
71. Source Contributions to Carbon Monoxide Concentrations During KORUS‐AQ Based on CAM‐chem Model Applications W. Tang et al. https://doi.org/10.1029/2018JD029151
72. Using trace element content and lead isotopic composition to assess sources of PM in Tijuana, Mexico D. Salcedo et al. https://doi.org/10.1016/j.atmosenv.2016.02.041
73. Chasing parts in quadrillion: applications of dynamical downscaling in atmospheric pollutant transport modelling during field campaigns A. Poulidis et al. https://doi.org/10.1186/s40645-024-00642-x
74. Estimating volcanic ash hazard in European airspace A. Dingwell & A. Rutgersson https://doi.org/10.1016/j.jvolgeores.2014.08.022
75. Assessment of forest fire impacts on carbonaceous aerosols using complementary molecular marker receptor models at two urban locations in California's San Joaquin Valley M. Bae et al. https://doi.org/10.1016/j.envpol.2018.12.013
76. Collective influences of boundary layer process and synoptic circulation on particulate pollution: A new study in changsha-zhuzhou-xiangtan urban agglomeration of central china T. Wang et al. https://doi.org/10.3389/fenvs.2022.939147
77. Lagrangian and Eulerian modelling of 106Ru atmospheric transport in 2017 over northern hemisphere L. Adenis et al. https://doi.org/10.1016/j.jenvrad.2024.107416
78. Relative impact of emissions controls and meteorology on air pollution mitigation associated with the Asia-Pacific Economic Cooperation (APEC) conference in Beijing, China Y. Wang et al. https://doi.org/10.1016/j.scitotenv.2016.06.215
79. Model representations of aerosol layers transported from North America over the Atlantic Ocean during the Two‐Column Aerosol Project J. Fast et al. https://doi.org/10.1002/2016JD025248
80. Coordinated profiling of stratospheric intrusions and transported pollution by the Tropospheric Ozone Lidar Network (TOLNet) and NASA Alpha Jet experiment (AJAX): Observations and comparison to HYSPLIT, RAQMS, and FLEXPART A. Langford et al. https://doi.org/10.1016/j.atmosenv.2017.11.031
81. Influence of vertical mixing and nighttime transport on surface ozone variability in the morning in Paris and the surrounding region A. Klein et al. https://doi.org/10.1016/j.atmosenv.2018.10.009
82. Improving PM2.5 Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model L. Guo et al. https://doi.org/10.3390/atmos9110428
83. Quantifying Emerging Local Anthropogenic Emissions in the Arctic Region: The ACCESS Aircraft Campaign Experiment A. Roiger et al. https://doi.org/10.1175/BAMS-D-13-00169.1
84. Study of atmospheric dispersion of radioactive effluents under inversion condition at coastal station Kalpakkam for radiological impact D. Kundu et al. https://doi.org/10.1007/s00703-023-00962-5
85. Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling J. Kostinek et al. https://doi.org/10.5194/acp-21-8791-2021
86. Using Observations and Source‐Specific Model Tracers to Characterize Pollutant Transport During FRAPPÉ and DISCOVER‐AQ G. Pfister et al. https://doi.org/10.1002/2017JD027257
87. Design and simulation of a counter measure analysis system in a decision support system ONERS for nuclear emergency C. Venkata Srinivas et al. https://doi.org/10.1016/j.pnucene.2022.104141
88. Observations of Acyl Peroxy Nitrates During the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ) J. Zaragoza et al. https://doi.org/10.1002/2017JD027337
89. Contribution of bioaerosols from terrestrial ecosystems to ice-nucleating particles over the Arctic Ocean T. Kinase et al. https://doi.org/10.1038/s41612-025-01291-7
90. Numerical study of a local PM2.5 pollution event under the typhoon Neoguri (1408) background over a coastal metropolitan city, Shenzhen, China X. Wei et al. https://doi.org/10.1016/j.pce.2019.01.001
91. The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations P. Kiriakidis et al. https://doi.org/10.5194/acp-23-4391-2023
92. Impact of regional transport on the anthropogenic and biogenic secondary organic aerosols in the Los Angeles Basin J. Heo et al. https://doi.org/10.1016/j.atmosenv.2014.12.041
93. Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. https://doi.org/10.3390/rs14143333
94. Overview of the Alaskan Layered Pollution and Chemical Analysis (ALPACA) Field Experiment W. Simpson et al. https://doi.org/10.1021/acsestair.3c00076
95. Projected changes in atmospheric moisture transport contributions associated with climate warming in the North Atlantic J. Fernández-Alvarez et al. https://doi.org/10.1038/s41467-023-41915-1
96. Wildfire and African dust aerosol oxidative potential, exposure and dose in the human respiratory tract M. Mylonaki et al. https://doi.org/10.1016/j.scitotenv.2023.169683
97. Moisture Source Analysis of Two Case Studies of Major Extreme Precipitation Events in Summer in the Iberian Peninsula G. Alvarez-Socorro et al. https://doi.org/10.3390/atmos14081213
98. Designing urban CO2 sensor networks under realistic uncertainties and biases: Results from synthetic studies in Berlin and Munich C. Lüken-Winkels et al. https://doi.org/10.1525/elementa.2025.00118
99. Massive-Parallel Trajectory Calculations version 2.2 (MPTRAC-2.2): Lagrangian transport simulations on graphics processing units (GPUs) L. Hoffmann et al. https://doi.org/10.5194/gmd-15-2731-2022
100. An inverse method to estimate emission rates based on nonlinear least-squares-based ensemble four-dimensional variational data assimilation with local air concentration measurements X. Geng et al. https://doi.org/10.1016/j.jenvrad.2017.12.004
101. Resolving the impact of stratosphere‐to‐troposphere transport on the sulfur cycle and surface ozone over the Tibetan Plateau using a cosmogenic 35S tracer M. Lin et al. https://doi.org/10.1002/2015JD023801
102. Modeling ultrafine particle growth at a pine forest site influenced by anthropogenic pollution during BEACHON-RoMBAS 2011 Y. Cui et al. https://doi.org/10.5194/acp-14-11011-2014
103. Influence of emission rate on atmospheric dispersion modeling of the Fukushima Daiichi Nuclear Power Plant accident X. Geng et al. https://doi.org/10.1016/j.apr.2016.10.013
104. Towards an understanding of uncertainties in the Lagrangian analysis of moisture sources for tropical cyclone precipitation through a study case A. Pérez-Alarcón et al. https://doi.org/10.1016/j.atmosres.2024.107822
105. Projected changes in moisture sources and sinks affecting the US East Coast and the Caribbean Sea J. Eiras‐Barca et al. https://doi.org/10.1111/nyas.15289
106. Detecting volcanic sulfur dioxide plumes in the Northern Hemisphere using the Brewer spectrophotometers, other networks, and satellite observations C. Zerefos et al. https://doi.org/10.5194/acp-17-551-2017
107. Regulation of Synoptic Circulation in Regional PM2.5 Transport for Heavy Air Pollution: Study of 5‐year Observation Over Central China W. Hu et al. https://doi.org/10.1029/2021JD035937
108. Identification of ventilation corridors using backward trajectory simulations in Beijing Y. Xu et al. https://doi.org/10.1016/j.scs.2021.102889
109. North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset P. Coll-Hidalgo et al. https://doi.org/10.1038/s41597-024-04091-5
110. Influence of Aerosol Particle Parameters on Their Scavenging from the Atmosphere by Raindrops D. Pripachkin & A. Budyka https://doi.org/10.1134/S0001433820020103
111. The Lagrangian particle dispersion model FLEXPART version 10.4 I. Pisso et al. https://doi.org/10.5194/gmd-12-4955-2019
112. The Cross-Border Transport of PM2.5 from the Southeast Asian Biomass Burning Emissions and Its Impact on Air Pollution in Yunnan Plateau, Southwest China Q. Yang et al. https://doi.org/10.3390/rs14081886
113. Sensitivity of horizontal resolution and land surface model in operational WRF forecast for Online Nuclear Emergency Response System (ONERS) S. Karmakar et al. https://doi.org/10.1007/s00703-024-01032-0
114. Long-term observations of black carbon and carbon monoxide in the Poker Flat Research Range, central Alaska, with a focus on forest wildfire emissions T. Kinase et al. https://doi.org/10.5194/acp-25-143-2025
115. Atmospheric Turbulence Observations in the Vicinity of Surface Fires in Forested Environments W. Heilman et al. https://doi.org/10.1175/JAMC-D-17-0146.1
116. Religious burning as a potential major source of atmospheric fine aerosols in summertime Lhasa on the Tibetan Plateau Y. Cui et al. https://doi.org/10.1016/j.atmosenv.2018.03.025
117. Lagrangian advection scheme with shape matrix (LASM) v0.2: interparcel mixing, physics–dynamics coupling and 3-D extension L. Dong et al. https://doi.org/10.5194/gmd-8-2675-2015
118. Evaluation of CarbonTracker's Inverse Estimates of North American Net Ecosystem Exchange of CO2 From Different Observing Systems Using ACT‐America Airborne Observations Y. Cui et al. https://doi.org/10.1029/2020JD034406
119. A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion M. Faust et al. https://doi.org/10.5194/gmd-14-2205-2021
120. Continuous monitoring of surface water vapour isotopic compositions at Neumayer Station III, East Antarctica S. Bagheri Dastgerdi et al. https://doi.org/10.5194/tc-15-4745-2021
121. Numerical study the assessment of pollutant dispersion from a thermal power plant: Impact of the wind direction, relative humidity and ambient temperatures, which vary depending on the time of day A. Issakhov & A. Abylkassymova https://doi.org/10.1080/10407782.2024.2372697
122. New particle formation dynamics in the central Andes: contrasting urban and mountaintop environments D. Aliaga et al. https://doi.org/10.5194/ar-3-15-2025
123. Global nitrous acid emissions and levels of regional oxidants enhanced by wildfires N. Theys et al. https://doi.org/10.1038/s41561-020-0637-7
124. Development of a Numerical Estimation Method for a Large Number of Spatially Distributed Atmospheric Pollutant Sources Using the Adjoint Method S. Kanao et al. https://doi.org/10.1016/j.apm.2025.116632
125. Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The San Joaquin Valley Y. Cui et al. https://doi.org/10.1002/2016JD026398
126. Estimating sources of elemental and organic carbon and their temporal emission patterns using a least squares inverse model and hourly measurements from the St. Louis–Midwest supersite B. de Foy et al. https://doi.org/10.5194/acp-15-2405-2015
127. Quantification of primary and secondary sources to PM2.5 using an improved source regional apportionment method in an industrial city, China Y. Hao et al. https://doi.org/10.1016/j.scitotenv.2019.135715
128. An overview from hygroscopic aerosols to cloud droplets: The HygrA-CD campaign in the Athens basin A. Papayannis et al. https://doi.org/10.1016/j.scitotenv.2016.09.054
129. The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al. https://doi.org/10.5194/acp-21-14089-2021
130. Synergistic Effect of Atmospheric Boundary Layer and Regional Transport on Aggravating Air Pollution in the Twain-Hu Basin: A Case Study J. Xiong et al. https://doi.org/10.3390/rs14205166
131. Sensitivity Analysis of Atmospheric Dispersion Simulations by FLEXPART to the WRF-Simulated Meteorological Predictions in a Coastal Environment C. Srinivas et al. https://doi.org/10.1007/s00024-015-1104-z
132. Source apportionment of PM2.5 organic carbon in the San Joaquin Valley using monthly and daily observations and meteorological clustering M. Skiles et al. https://doi.org/10.1016/j.envpol.2018.02.055
133. Changes in Moisture Sources of Atmospheric Rivers Landfalling the Iberian Peninsula With WRF‐FLEXPART J. Fernández‐Alvarez et al. https://doi.org/10.1029/2022JD037612
134. The Role of Snow in Controlling Halogen Chemistry and Boundary Layer Oxidation During Arctic Spring: A 1D Modeling Case Study S. Ahmed et al. https://doi.org/10.1029/2021JD036140
135. Ten-year chemical signatures associated with long-range transport observed in the free troposphere over the central North Atlantic B. Zhang et al. https://doi.org/10.1525/elementa.194
136. Springtime aerosol load as observed from ground-based and airborne lidars over northern Norway P. Chazette et al. https://doi.org/10.5194/acp-18-13075-2018
137. Carbon Monoxide in Optically Thick Wildfire Smoke: Evaluating TROPOMI Using CU Airborne SOF Column Observations J. Rowe et al. https://doi.org/10.1021/acsearthspacechem.2c00048
138. Wind power forecasting based on hourly wind speed data in South Korea using machine learning algorithms J. Kim et al. https://doi.org/10.1007/s12206-022-1125-3
139. Characteristics of local recirculation affecting summer ozone in coastal areas of the Korean Peninsula J. Yoo & S. Lee https://doi.org/10.1016/j.atmosres.2025.107934
140. Particulate concentration associated with multiple burn units in complex terrain: A numerical study M. Kiefer et al. https://doi.org/10.1016/j.apr.2025.102573
141. Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea S. Hur et al. https://doi.org/10.1016/j.atmosenv.2020.117904
142. Aeolus winds impact on volcanic ash early warning systems for aviation V. Amiridis et al. https://doi.org/10.1038/s41598-023-34715-6
143. Biogenic, anthropogenic and sea salt sulfate size-segregated aerosols in the Arctic summer R. Ghahreman et al. https://doi.org/10.5194/acp-16-5191-2016
144. Air pollution analysis in Northwestern South America: A new Lagrangian framework A. Casallas et al. https://doi.org/10.1016/j.scitotenv.2023.167350
145. Urban ozone formation and sensitivities to volatile chemical products, cooking emissions, and NOx upwind of and within two Los Angeles Basin cities C. Stockwell et al. https://doi.org/10.5194/acp-25-1121-2025
146. Assessing target areas for precipitating moisture source analysis of extratropical cyclones: An analysis based on case studies P. Coll-Hidalgo et al. https://doi.org/10.1016/j.atmosres.2024.107628
147. Bayesian inverse modeling of the atmospheric transport and emissions of a controlled tracer release from a nuclear power plant D. Lucas et al. https://doi.org/10.5194/acp-17-13521-2017
148. Molecular characterization of size-segregated organic aerosols in the urban boundary layer in wintertime Beijing by FT-ICR MS Q. Xie et al. https://doi.org/10.1039/D0FD00084A
149. Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing A. Tsekeri et al. https://doi.org/10.5194/amt-10-83-2017
150. Taehwa Research Forest: a receptor site for severe domestic pollution events in Korea during 2016 J. Sullivan et al. https://doi.org/10.5194/acp-19-5051-2019
151. Cross-polar transport and scavenging of Siberian aerosols containing black carbon during the 2012 ACCESS summer campaign J. Raut et al. https://doi.org/10.5194/acp-17-10969-2017
152. Transport of substantial stratospheric ozone to the surface by a dying typhoon and shallow convection Z. Chen et al. https://doi.org/10.5194/acp-22-8221-2022
153. Across land, sea, and mountains: sulphate aerosol sources and transport dynamics over the northern Apennines M. Bettineschi et al. https://doi.org/10.1039/D5EA00035A
154. Quantifying Emerging Local Anthropogenic Emissions in the Arctic Region: The ACCESS Aircraft Campaign Experiment A. Roiger et al. https://doi.org/10.1175/BAMS-D-13-00169.1.2016.1.test
155. Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin Y. Cui et al. https://doi.org/10.1002/2014JD023002
156. Sulfur dioxide emissions in Portugal: Prediction, estimation and air quality regulation using machine learning V. Ribeiro https://doi.org/10.1016/j.jclepro.2021.128358
157. Impact of Meteorological Conditions and Human Activities on Air Quality During the COVID-19 Lockdown in Northeast China T. Wang et al. https://doi.org/10.3389/fenvs.2022.877268
158. Uncertainty in Lagrangian pollutant transport simulations due to meteorological uncertainty from a mesoscale WRF ensemble W. Angevine et al. https://doi.org/10.5194/gmd-7-2817-2014
159. Future Changes in the Contribution of Gulf of Mexico-Caribbean Sea Moisture Source: Impacts on Regional Precipitation Patterns J. Fernandez-Alvarez et al. https://doi.org/10.1007/s41748-024-00532-8
160. Source–receptor matrix calculation for deposited mass with the Lagrangian particle dispersion model FLEXPART v10.2 in backward mode S. Eckhardt et al. https://doi.org/10.5194/gmd-10-4605-2017
161. Spatiotemporal risk assessment of hypothetical radioactive emissions from BNPP based on high-resolution atmospheric modeling H. Abdollahnejad & E. Malekzadeh https://doi.org/10.1016/j.pnucene.2025.106156
162. A numerical simulation study on the impact of smoke aerosols from Russian forest fires on the air pollution over Asia Q. Zhu et al. https://doi.org/10.1016/j.atmosenv.2018.03.052
163. Tracing the origins of stratospheric ozone intrusions: direct vs. indirect pathways and their impacts on Central and Eastern China in spring–summer 2019 K. Meng et al. https://doi.org/10.5194/acp-24-12623-2024
164. Microlayer source of oxygenated volatile organic compounds in the summertime marine Arctic boundary layer E. Mungall et al. https://doi.org/10.1073/pnas.1620571114
165. Formulation of the Lagrangian particle model LAPMOD and its evaluation against Kincaid SF6 and SO2 datasets R. Bellasio et al. https://doi.org/10.1016/j.atmosenv.2017.05.039
166. 6 months of radioxenon detection in western Europe with the SPALAX-New generation system – Part 2: Atmospheric transport modelling P. Achim et al. https://doi.org/10.1016/j.jenvrad.2020.106455
167. Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM2.5 over China C. Yu et al. https://doi.org/10.5194/acp-20-7217-2020
168. Airborne Multiwavelength High Spectral Resolution Lidar (HSRL-2) observations during TCAP 2012: vertical profiles of optical and microphysical properties of a smoke/urban haze plume over the northeastern coast of the US D. Müller et al. https://doi.org/10.5194/amt-7-3487-2014
169. Understanding ozone episodes during the TRACER-AQ campaign in Houston, Texas: The role of transport and ozone production sensitivity to precursors E. Soleimanian et al. https://doi.org/10.1016/j.scitotenv.2023.165881
170. Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, and radiosondes during the HygrA-CD campaign R. Banks et al. https://doi.org/10.1016/j.atmosres.2016.02.024
171. Study on Land-use Changes and Their Impacts on Air Pollution in Chengdu W. Sun et al. https://doi.org/10.3390/atmos11010042
172. Vertical distribution of particle-phase dicarboxylic acids, oxoacids and α-dicarbonyls in the urban boundary layer based on the 325 m tower in Beijing W. Zhao et al. https://doi.org/10.5194/acp-20-10331-2020
173. Impacts of synoptic weather patterns on Hefei's ozone in warm season and analysis of transport pathways during extreme pollution events F. Hu et al. https://doi.org/10.1016/j.jes.2024.06.032
174. Summertime observations of elevated levels of ultrafine particles in the high Arctic marine boundary layer J. Burkart et al. https://doi.org/10.5194/acp-17-5515-2017
175. Radon transport events associated with the impact of a NORM repository in the SW of Europe I. Gutiérrez-Álvarez et al. https://doi.org/10.1016/j.envpol.2021.117963
176. Simulating short-term dispersion of Cs-137 in the East Vietnam Sea: atmospheric fallout from a hypothetical nuclear accident as a source term Q. Tran et al. https://doi.org/10.1007/s11069-025-07421-x
177. Modelling the impacts of emission changes on O3 sensitivity, atmospheric oxidation capacity, and pollution transport over the Catalonia region A. Badia et al. https://doi.org/10.5194/acp-23-10751-2023
178. Transport of anthropogenic and biomass burning aerosols from Europe to the Arctic during spring 2008 L. Marelle et al. https://doi.org/10.5194/acp-15-3831-2015
179. Long-range transport of short-lived nitrogen dioxide in East Asia S. Baek et al. https://doi.org/10.1016/j.scitotenv.2025.180850
180. Marine heatwave in the Bohai-Yellow Seas enhanced the July 2025 rainstorm in Beijing and its surrounding areas M. Yang et al. https://doi.org/10.1186/s40562-026-00475-0
181. Improved isoprene emission estimates over the Finnish boreal forest using the MEGANv3.2 model M. Bettineschi et al. https://doi.org/10.5194/acp-26-8067-2026
182. Sensitivity of a Bayesian source-term estimation model to spatiotemporal sensor resolution D. Jensen et al. https://doi.org/10.1016/j.aeaoa.2019.100045
183. Composition and variability of gaseous organic pollution in the port megacity of Istanbul: source attribution, emission ratios, and inventory evaluation B. Thera et al. https://doi.org/10.5194/acp-19-15131-2019
184. Quantifying black carbon deposition over the Greenland ice sheet from forest fires in Canada J. Thomas et al. https://doi.org/10.1002/2017GL073701
185. A WRF-FLEXPART simulation study of oil-fire plume dispersion- sensitivity to turbulent diffusion schemes S. Karmakar et al. https://doi.org/10.1007/s00703-022-00866-w
186. Instrumentation and measurement strategy for the NOAA SENEX aircraft campaign as part of the Southeast Atmosphere Study 2013 C. Warneke et al. https://doi.org/10.5194/amt-9-3063-2016
187. Simple physics-based adjustments reconcile the results of Eulerian and Lagrangian techniques for moisture tracking in atmospheric rivers A. Crespo-Otero et al. https://doi.org/10.5194/esd-16-1483-2025
188. Spatial and temporal evaluation of H2S, SO2 and NH3 concentrations near Cerro Prieto geothermal power plant in Mexico L. Aguilar-Dodier et al. https://doi.org/10.1016/j.apr.2019.09.019
189. Performance-based urban ventilation corridor for actual achievement of environmental benefits M. Yin & B. He https://doi.org/10.1016/j.buildenv.2025.112536
190. An analysis of chemical and meteorological characteristics of haze events in the Seoul metropolitan area during January 12–18, 2013 Y. Koo et al. https://doi.org/10.1016/j.atmosenv.2018.01.037
191. Machine Learning Emulation of Spatial Deposition from a Multi-Physics Ensemble of Weather and Atmospheric Transport Models N. Gunawardena et al. https://doi.org/10.3390/atmos12080953
192. Oxidized organic molecules in the tropical free troposphere over Amazonia Q. Zha et al. https://doi.org/10.1093/nsr/nwad138
193. Evaluation of an Air Pollution Forecasting System Based on Micro-Pulse Lidar Cruising Measurements in the South China Sea Y. Tang et al. https://doi.org/10.3390/rs13152855
194. GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures A. Tsekeri et al. https://doi.org/10.5194/amt-10-4995-2017
195. Chemical formation and source apportionment of PM2.5 at an urban site at the southern foot of the Taihang mountains X. Liu et al. https://doi.org/10.1016/j.jes.2020.10.004
196. Evaluation of WRF model configurations for dynamic downscaling of tropical cyclones activity over the North Atlantic basin for Lagrangian moisture tracking analysis in future climate A. Pérez-Alarcón et al. https://doi.org/10.1016/j.atmosres.2024.107498
197. Constraining the Surface Flux of Sea Spray Particles From the Southern Ocean S. Hartery et al. https://doi.org/10.1029/2019JD032026
198. Numerical study of the effects of local atmospheric circulations on a pollution event over Beijing–Tianjin–Hebei, China Y. Miao et al. https://doi.org/10.1016/j.jes.2014.08.025
199. Biogenic particles formed in the Himalaya as an important source of free tropospheric aerosols F. Bianchi et al. https://doi.org/10.1038/s41561-020-00661-5
200. Aircraft-based measurements of High Arctic springtime aerosol show evidence for vertically varying sources, transport and composition M. Willis et al. https://doi.org/10.5194/acp-19-57-2019
201. Ship emissions measurement in the Arctic by plume intercepts of the Canadian Coast Guard icebreaker Amundsen from the Polar 6 aircraft platform A. Aliabadi et al. https://doi.org/10.5194/acp-16-7899-2016
202. Untangling the contribution of input parameters to an artificial intelligence PM2.5 forecast model using the layer-wise relevance propagation method D. Kim et al. https://doi.org/10.1016/j.atmosenv.2022.119034
203. Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. https://doi.org/10.1016/j.envpol.2020.115133
204. How to trace the origins of short-lived atmospheric species: an Arctic example A. Da Silva et al. https://doi.org/10.5194/acp-25-5331-2025
205. Continental pollution in the Western Mediterranean basin: large variability of the aerosol single scattering albedo and influence on the direct shortwave radiative effect C. Di Biagio et al. https://doi.org/10.5194/acp-16-10591-2016
206. Influence of modeling conditions on the estimation of the dry deposition velocity of aerosols on highly inhomogeneous surfaces D. Pripachkin et al. https://doi.org/10.31857/S0002351524020048
207. Ozone control strategies for local formation- and regional transport-dominant scenarios in a manufacturing city in southern China J. Mao et al. https://doi.org/10.1016/j.scitotenv.2021.151883
208. Data-driven modeling of environmental factors influencing Arctic methanesulfonic acid aerosol concentrations J. Pernov et al. https://doi.org/10.5194/acp-25-6497-2025
209. Future extratropical cyclones with more moisture and fewer associated atmospheric rivers P. Coll-Hidalgo et al. https://doi.org/10.1038/s41612-025-01307-2
210. Regional-scale air pollution source identification using backward particle dynamics M. Filippova et al. https://doi.org/10.1016/j.atmosenv.2025.121044
211. Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. https://doi.org/10.1186/s13021-019-0118-8
212. A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5 L. Guo et al. https://doi.org/10.1007/s11356-019-06605-w
213. First assessment of Aeolus Standard Correct Algorithm particle backscatter coefficient retrievals in the eastern Mediterranean A. Gkikas et al. https://doi.org/10.5194/amt-16-1017-2023
214. Version 1.1.1 - TROVA: TRansport Of water VApor J. Fernández-Alvarez et al. https://doi.org/10.1016/j.softx.2025.102135
215. Parrad System and Its Testing on Real Radioactive Emissions Into the Atmosphere R. Arutyunyan et al. https://doi.org/10.1007/s10512-017-0187-2
216. Comprehensive Lagrangian assessment of Canary Island precipitation moisture sources G. Alvarez-Socorro et al. https://doi.org/10.1016/j.atmosres.2025.108312
217. Moisture source identification for precipitation associated with tropical cyclone development over the Indian Ocean: a Lagrangian approach A. Pérez-Alarcón et al. https://doi.org/10.1007/s00382-022-06429-4
218. Bioaerosols are the dominant source of warm-temperature immersion-mode INPs and drive uncertainties in INP predictability G. Cornwell et al. https://doi.org/10.1126/sciadv.adg3715
219. Response of marine post-frontal clouds to Gulf Stream variability J. Chen et al. https://doi.org/10.5194/acp-26-2209-2026
220. Megacity and local contributions to regional air pollution: an aircraft case study over London K. Ashworth et al. https://doi.org/10.5194/acp-20-7193-2020
221. Properties of aerosols and formation mechanisms over southern China during the monsoon season W. Chen et al. https://doi.org/10.5194/acp-16-13271-2016
222. Spatiotemporal variation of radionuclide dispersion from nuclear power plant accidents using FLEXPART mini-ensemble modeling S. Nabavi et al. https://doi.org/10.5194/acp-23-7719-2023
223. Investigation of meteorological conditions and BrO during ozone depletion events in Ny-Ålesund between 2010 and 2021 B. Zilker et al. https://doi.org/10.5194/acp-23-9787-2023
224. Smoke dispersion modeling over complex terrain using high resolution meteorological data and satellite observations – The FireHub platform S. Solomos et al. https://doi.org/10.1016/j.atmosenv.2015.08.066
225. Influence of Modeling Conditions on the Estimation of the Dry Deposition Velocity of Aerosols on Highly Inhomogeneous Surfaces D. Pripachkin et al. https://doi.org/10.1134/S0001433824700221
226. Lagrangian Tropical Cyclone Precipitation Estimates and Moisture Sources (LagTCPMoS) Dataset A. Pérez-Alarcón et al. https://doi.org/10.1038/s41597-025-05490-y
227. Regional Hydrological Cycle over the Red Sea in ERA-Interim O. Zolina et al. https://doi.org/10.1175/JHM-D-16-0048.1
228. The concurrent thermal effect induced by desert greening weakened dust transport in East Asia Y. Li et al. https://doi.org/10.1016/j.aeaoa.2026.100444
229. Pan-Arctic methanesulfonic acid aerosol: source regions, atmospheric drivers, and future projections J. Pernov et al. https://doi.org/10.1038/s41612-024-00712-3
230. Organic coating on sulfate and soot particles during late summer in the Svalbard Archipelago H. Yu et al. https://doi.org/10.5194/acp-19-10433-2019
231. Validation of LIRIC aerosol concentration retrievals using airborne measurements during a biomass burning episode over Athens P. Kokkalis et al. https://doi.org/10.1016/j.atmosres.2016.09.007
232. The offline Lagrangian particle model FLEXPART–NorESM/CAM (v1): model description and comparisons with the online NorESM transport scheme and with the reference FLEXPART model M. Cassiani et al. https://doi.org/10.5194/gmd-9-4029-2016
233. Ventilation and low pollution enhancing new particle formation in Milan, Italy M. Agrò et al. https://doi.org/10.5194/acp-26-6521-2026
234. Distribution and sources of air pollutants in the North China Plain based on on-road mobile measurements Y. Zhu et al. https://doi.org/10.5194/acp-16-12551-2016
235. Growth of nucleation mode particles in the summertime Arctic: a case study M. Willis et al. https://doi.org/10.5194/acp-16-7663-2016
236. Source attribution of black and Brown carbon near-UV light absorption in Beijing, China and the impact of regional air-mass transport M. Olson et al. https://doi.org/10.1016/j.scitotenv.2021.150871
237. Spatially coordinated airborne data and complementary products for aerosol, gas, cloud, and meteorological studies: the NASA ACTIVATE dataset A. Sorooshian et al. https://doi.org/10.5194/essd-15-3419-2023
238. Integrated system for population dose calculation and decision making on protection measures in case of an accident with air emissions in a nuclear power plant P. Mlakar et al. https://doi.org/10.1016/j.scitotenv.2019.02.309
239. Regional transport patterns for heavy PM2.5 pollution driven by strong cold airflows in Twain-Hu Basin, Central China L. Shen et al. https://doi.org/10.1016/j.atmosenv.2021.118847
240. Characteristics and sources of PM2.5 with focus on two severe pollution events in a coastal city of Qingdao, China Y. Gao et al. https://doi.org/10.1016/j.chemosphere.2020.125861
241. A case study of radionuclide physicochemical characterization and dispersion modelling at the European Spallation Source under a postulated worst-case scenario B. Ramljak et al. https://doi.org/10.1016/j.jenvrad.2026.108045
242. “Military Parade Blue Skies” in Beijing: Decisive Influence of Meteorological Factors on Transport Channel and Atmospheric Pollutant Concentration Level S. Yang et al. https://doi.org/10.3390/atmos12050636
243. Influence of meteorological conditions on the air quality during the 2022 Winter Olympics in Beijing T. Wang et al. https://doi.org/10.3389/fenvs.2022.987272
244. Modelling the Potential Long-Range Dispersion of Atmospheric Microplastics Reaching a Remote Site M. Martina & S. Trini Castelli https://doi.org/10.1016/j.atmosenv.2023.120044
245. Quantifying the contribution of thermally driven recirculation to a high-ozone event along the Colorado Front Range using lidar J. Sullivan et al. https://doi.org/10.1002/2016JD025229
246. Identification of pedestrian-level ventilation corridors in downtown Beijing using large-eddy simulations W. Wang et al. https://doi.org/10.1016/j.buildenv.2020.107169
247. Exploring the Influence of Land Use on the Urban Carbonyl Sulfide Budget: A Case Study of the Metropolitan Area of Barcelona C. Estruch et al. https://doi.org/10.1029/2023JD039497
248. Inversion method for multi-point source pollution identification: Sensitivity analysis and application to European Tracer Experiment data J. Wang et al. https://doi.org/10.1016/j.aosl.2021.100147
249. Effects of regional and local atmospheric dynamics on the aerosol and CCN load over Athens S. Solomos et al. https://doi.org/10.1016/j.atmosenv.2018.10.025
250. The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model C. Andersen et al. https://doi.org/10.1016/j.envsoft.2024.106010
251. Mesoscale influences on the development of a dryline in Argentina: A modelling case study H. Bechis et al. https://doi.org/10.1016/j.atmosres.2021.105926
252. TROVA: TRansport Of water VApor J. Fernández-Alvarez et al. https://doi.org/10.1016/j.softx.2022.101228
253. Assessment of Caesium-137 Detections at CTBTO Radionuclide Monitoring Stations in East Asia and Their Relationship to Asian Dust Dispersion A. Furuno et al. https://doi.org/10.1007/s00024-024-03620-y
254. Validation and sensitivity analysis of the FLEXPART model using the Kincaid experiment data H. Li et al. https://doi.org/10.1016/j.jandt.2025.05.002
255. LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat tracking A. Pérez-Alarcón et al. https://doi.org/10.1016/j.simpa.2024.100638
256. Advanced satellite-based model for precise measurement of point source CO 2 emission Y. Huang et al. https://doi.org/10.1080/10095020.2025.2550497
257. Identifying source regions of air masses sampled at the tropical high-altitude site of Chacaltaya using WRF-FLEXPART and cluster analysis D. Aliaga et al. https://doi.org/10.5194/acp-21-16453-2021
258. Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. https://doi.org/10.1016/j.rse.2024.114192
259. Seasonal and diurnal patterns in the dispersion of SO2 from Mt. Nyiragongo A. Dingwell et al. https://doi.org/10.1016/j.atmosenv.2016.02.030
260. Multimedia based risk forecasting model for frequent natural disasters Y. Yong et al. https://doi.org/10.1007/s11042-019-07790-z
261. Is it north or west foehn? A Lagrangian analysis of Penetration and Interruption of Alpine Foehn intensive observation period 1 (PIANO IOP 1) M. Saigger & A. Gohm https://doi.org/10.5194/wcd-3-279-2022
262. Quantification of Evaporative Sources of Precipitation and Its Changes in the Southeastern Tibetan Plateau and Middle Yangtze River Basin Y. Xu & Y. Gao https://doi.org/10.3390/atmos10080428
263. A Multiscale Numerical Modeling Study of Smoke Dispersion and the Ventilation Index in Southwestern Colorado M. Kiefer et al. https://doi.org/10.3390/atmos11080846
264. Analysis of Oil and Gas Ethane and Methane Emissions in the Southcentral and Eastern United States Using Four Seasons of Continuous Aircraft Ethane Measurements Z. Barkley et al. https://doi.org/10.1029/2020JD034194
265. Implementation and Impacts of Surface and Blowing Snow Sources of Arctic Bromine Activation Within WRF‐Chem 4.1.1 L. Marelle et al. https://doi.org/10.1029/2020MS002391
266. Extreme precipitation events in the Mediterranean area: contrasting two different models for moisture source identification S. Cloux et al. https://doi.org/10.5194/hess-25-6465-2021
267. Ammonia in the summertime Arctic marine boundary layer: sources, sinks, and implications G. Wentworth et al. https://doi.org/10.5194/acp-16-1937-2016
268. Online chemical emergency response system with Information and Communication Technologies S. Raja Shekhar et al. https://doi.org/10.1007/s40012-025-00413-z
269. Impacts of regional transport on black carbon in Huairou, Beijing, China Y. Wang et al. https://doi.org/10.1016/j.envpol.2016.11.006
270. A Lagrangian View of Moisture Transport Related to the Heavy Rainfall of July 2020 in Japan: Importance of the Moistening Over the Subtropical Regions N. Zhao et al. https://doi.org/10.1029/2020GL091441
271. First field-based atmospheric observation of the reduction of reactive mercury driven by sunlight B. de Foy et al. https://doi.org/10.1016/j.atmosenv.2016.03.028
272. Simulation of the Multi-Timescale Stratospheric Intrusion Processes in a Typical Cut-Off Low over Northeast Asia D. Chen et al. https://doi.org/10.3390/atmos13010068
273. Estimation of seasonal methane fluxes over a Mediterranean rice paddy area using the Radon Tracer Method (RTM) R. Curcoll et al. https://doi.org/10.5194/acp-25-6299-2025
274. Comparison of ECHAM6-wiso near-surface water vapour isotopic composition with in situ measurements at Neumayer Station III M. Werner et al. https://doi.org/10.3389/feart.2025.1467247
275. Vertical Profiles of Aerosol Optical and Microphysical Properties During a Rare Case of Long-range Transport of Mixed Biomass Burning-polluted Dust Aerosols from the Russian Federation-kazakhstan to Athens, Greece A. Papayannis et al. https://doi.org/10.1051/epjconf/201611918003
276. The importance of Asia as a source of black carbon to the European Arctic during springtime 2013 D. Liu et al. https://doi.org/10.5194/acp-15-11537-2015
277. Development of turbulent scheme in the FLEXPART-AROME v1.2.1 Lagrangian particle dispersion model B. Verreyken et al. https://doi.org/10.5194/gmd-12-4245-2019
278. Measurement report: Molecular-level investigation of atmospheric cluster ions at the tropical high-altitude research station Chacaltaya (5240 m a.s.l.) in the Bolivian Andes Q. Zha et al. https://doi.org/10.5194/acp-23-4559-2023