174 citations as recorded by crossref.

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20. Comparison of key absorption and optical properties between pure and transported anthropogenic dust over East and Central Asia J. Bi et al. https://doi.org/10.5194/acp-16-15501-2016
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25. Pollution and dust aerosols modulating tropical cyclones intensities D. Rosenfeld et al. https://doi.org/10.1016/j.atmosres.2011.06.006
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29. Comparison of AOD, AAOD and column single scattering albedo from AERONET retrievals and in situ profiling measurements E. Andrews et al. https://doi.org/10.5194/acp-17-6041-2017
30. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. https://doi.org/10.1038/s41467-022-33680-4
31. Downwelling solar irradiance in the biomass burning region of the southern Amazon: Dependence on aerosol intensive optical properties and role of water vapor N. Rosário et al. https://doi.org/10.1029/2011JD015956
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34. Relationship between the Optical Properties and Chemical Composition of Urban Aerosol Particles in Lithuania J. Pauraite et al. https://doi.org/10.1155/2018/8674173
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37. Impact of anomalous forest fire on aerosol radiative forcing and snow cover over Himalayan region K. Bali et al. https://doi.org/10.1016/j.atmosenv.2016.11.061
38. The effect of the dynamic surface bareness on dust source function, emission, and distribution D. Kim et al. https://doi.org/10.1029/2012JD017907
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40. Mapping 532 nm lidar ratios for CALIPSO-classified marine aerosols using MODIS AOD constrained retrievals and GOCART model simulations T. Toth et al. https://doi.org/10.5194/amt-18-6765-2025
41. The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 1: Model descriptions J. Wang et al. https://doi.org/10.5194/gmd-11-2315-2018
42. Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996–2010 Z. Lu et al. https://doi.org/10.5194/acp-11-9839-2011
43. Ice nucleation by aerosols from anthropogenic pollution B. Zhao et al. https://doi.org/10.1038/s41561-019-0389-4
44. The distributions and direct radiative effects of marine aerosols over East Asia in springtime J. Li et al. https://doi.org/10.1016/j.scitotenv.2018.09.368
45. Aircraft measurements of black carbon vertical profiles show upper tropospheric variability and stability J. Schwarz et al. https://doi.org/10.1002/2016GL071241
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47. The Present and Future of Secondary Organic Aerosol Direct Forcing on Climate K. Tsigaridis & M. Kanakidou https://doi.org/10.1007/s40641-018-0092-3
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49. Aerosol Optical Depth Over India L. David et al. https://doi.org/10.1002/2017JD027719
50. Modelling study on the source contribution to aerosol over the Tibetan Plateau M. Zhao et al. https://doi.org/10.1002/joc.7017
51. Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model M. Chin et al. https://doi.org/10.5194/acp-14-3657-2014
52. Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales C. Peters-Lidard et al. https://doi.org/10.1016/j.envsoft.2015.01.007
53. Corrigendum: “The GOddard SnoW Impurity Module (GOSWIM) for the NASA GEOS-5 Earth System Model: Preliminary Comparisons with Observations in Sapporo, Japan” T. Yasunari et al. https://doi.org/10.2151/sola.2016-014
54. Vertical Structure of Aerosols and Mineral Dust Over the Bay of Bengal From Multisatellite Observations N. Lakshmi et al. https://doi.org/10.1002/2017JD027643
55. Estimating aerosol emissions by assimilating observed aerosol optical depth in a global aerosol model N. Huneeus et al. https://doi.org/10.5194/acp-12-4585-2012
56. Evaluation of a relationship between aerosols and surface downward shortwave flux through an integrative analysis of modeling and observation D. Goto et al. https://doi.org/10.1016/j.atmosenv.2011.11.032
57. Aerosol radiative forcing deduced from observations and models over an urban location and sensitivity to single scattering albedo R. Srivastava et al. https://doi.org/10.1016/j.atmosenv.2011.08.015
58. Improving satellite-retrieved aerosol microphysical properties using GOCART data S. Li et al. https://doi.org/10.5194/amt-8-1157-2015
59. Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar Y. Noh et al. https://doi.org/10.5194/acp-17-6271-2017
60. Evaluation of black carbon estimations in global aerosol models D. Koch et al. https://doi.org/10.5194/acp-9-9001-2009
61. Performance of WRF-Chem over Indian region: Comparison with measurements G. Govardhan et al. https://doi.org/10.1007/s12040-015-0576-7
62. Merged dust climatology in Phoenix, Arizona based on satellite and station data H. Lei et al. https://doi.org/10.1007/s00382-016-2997-7
63. Anthropogenic iron oxide aerosols enhance atmospheric heating N. Moteki et al. https://doi.org/10.1038/ncomms15329
64. A Laboratory Experiment for the Statistical Evaluation of Aerosol Retrieval (STEAR) Algorithms G. Schuster et al. https://doi.org/10.3390/rs11050498
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66. The response of the Amazon ecosystem to the photosynthetically active radiation fields: integrating impacts of biomass burning aerosol and clouds in the NASA GEOS Earth system model H. Bian et al. https://doi.org/10.5194/acp-21-14177-2021
67. Evaluation of the aerosol vertical distribution in global aerosol models through comparison against CALIOP measurements: AeroCom phase II results B. Koffi et al. https://doi.org/10.1002/2015JD024639
68. Radiative effects of absorbing aerosols over northeastern India: Observations and model simulations M. Gogoi et al. https://doi.org/10.1002/2016JD025592
69. Differences in the Evolution of Pyrocumulonimbus and Volcanic Stratospheric Plumes as Observed by CATS and CALIOP Space-Based Lidars K. Christian et al. https://doi.org/10.3390/atmos11101035
70. SO2 Emissions in China – Their Network and Hierarchical Structures S. Yan & G. Wu https://doi.org/10.1038/srep46216
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72. Global all‐sky shortwave direct radiative forcing of anthropogenic aerosols from combined satellite observations and GOCART simulations W. Su et al. https://doi.org/10.1029/2012JD018294
73. Spring Dust in Western North America and Its Interannual Variability—Understanding the Role of Local and Transported Dust D. Kim et al. https://doi.org/10.1029/2021JD035383
74. An evaluation of biomass burning aerosol mass, extinction, and size distribution in GEOS using observations from CAMP2Ex A. Collow et al. https://doi.org/10.5194/acp-22-16091-2022
75. Air Pollutants Minimalization of Pollutant Absorber with Condensation System Y. Ruhiat et al. https://doi.org/10.1088/1742-6596/846/1/012014
76. Numerical study of aerosol radiative forcing over East Asia and the impacts of cloud coverage and relative humidity J. Guo et al. https://doi.org/10.1016/j.atmosres.2022.106168
77. Seasonal Tropospheric Aerosol Classification Using AERONET Spectral Absorption Properties in African Locations S. Aladodo et al. https://doi.org/10.1007/s41810-022-00140-x
78. The implementation of NEMS GFS Aerosol Component (NGAC) Version 1.0 for global dust forecasting at NOAA/NCEP C. Lu et al. https://doi.org/10.5194/gmd-9-1905-2016
79. Characteristics of aerosols over Beijing and Kanpur derived from the AERONET dataset H. Chen et al. https://doi.org/10.1016/j.apr.2015.08.008
80. Aerosol as a critical factor causing forecast biases of air temperature in global numerical weather prediction models X. Huang & A. Ding https://doi.org/10.1016/j.scib.2021.05.009
81. Structural analysis of aerosol particles by microscopic observation using a time‐of‐flight secondary ion mass spectrometer A. Takami et al. https://doi.org/10.1002/jgrd.50477
82. Extremely large anthropogenic-aerosol contribution to total aerosol load over the Bay of Bengal during winter season D. Kaskaoutis et al. https://doi.org/10.5194/acp-11-7097-2011
83. Assessment of the clear-sky bias issue using continuous PM 10 data from two AERONET sites in Korea Y. Choi & Y. Ghim https://doi.org/10.1016/j.jes.2016.02.020
84. Global premature mortality by dust and pollution PM2.5 estimated from aerosol reanalysis of the modern-era retrospective analysis for research and applications, version 2 A. Yang et al. https://doi.org/10.3389/fenvs.2022.975755
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86. A multimodel assessment of the influence of regional anthropogenic emission reductions on aerosol direct radiative forcing and the role of intercontinental transport H. Yu et al. https://doi.org/10.1029/2012JD018148
87. Satellite assessment of sea spray aerosol productivity: Southern Ocean case study M. Witek et al. https://doi.org/10.1002/2015JD023726
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89. The changing radiative forcing of fires: global model estimates for past, present and future D. Ward et al. https://doi.org/10.5194/acp-12-10857-2012
90. Global aerosol mixtures and their multiyear and seasonal characteristics M. Taylor et al. https://doi.org/10.1016/j.atmosenv.2015.06.029
91. Abundance of Light‐Absorbing Anthropogenic Iron Oxide Aerosols in the Urban Atmosphere and Their Emission Sources S. Ohata et al. https://doi.org/10.1029/2018JD028363
92. Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020 H. Yu et al. https://doi.org/10.5194/acp-21-12359-2021
93. Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. https://doi.org/10.1016/j.atmosenv.2018.07.016
94. Modeling the contributions of Northern Hemisphere dust sources to dust outflow from East Asia Z. Hu et al. https://doi.org/10.1016/j.atmosenv.2019.01.022
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96. Numerical study of natural sea salt aerosol and its radiative effects on climate and sea surface temperature over East Asia J. Guo et al. https://doi.org/10.1016/j.atmosenv.2015.01.074
97. Mapping the Global Dust Storm Records: Review of Dust Data Sources in Supporting Modeling/Climate Study J. Wang https://doi.org/10.1007/s40726-015-0008-y
98. Comparison of aerosol optical properties above clouds between POLDER and AeroCom models over the South East Atlantic Ocean during the fire season F. Peers et al. https://doi.org/10.1002/2016GL068222
99. Global component aerosol direct radiative effect at the top of atmosphere T. Zhao et al. https://doi.org/10.1080/01431161.2010.517790
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102. Parametric analysis for global single scattering albedo calculations J. Jeong et al. https://doi.org/10.1016/j.atmosenv.2020.117616
103. Modelled black carbon radiative forcing and atmospheric lifetime in AeroCom Phase II constrained by aircraft observations B. Samset et al. https://doi.org/10.5194/acp-14-12465-2014
104. Retrieval of Black Carbon Absorption Aerosol Optical Depth from AERONET Observations over the World during 2000–2018 N. Dehkhoda et al. https://doi.org/10.3390/rs14061510
105. A GCM investigation of dust aerosol impact on the regional climate of North Africa and South/East Asia Y. Gu et al. https://doi.org/10.1007/s00382-015-2706-y
106. Estimate of aerosol absorbing components of black carbon, brown carbon, and dust from ground‐based remote sensing data of sun‐sky radiometers L. Wang et al. https://doi.org/10.1002/jgrd.50356
107. Aircraft and ground measurements of dust aerosols over the west African coast in summer 2015 during ICE-D and AER-D D. Liu et al. https://doi.org/10.5194/acp-18-3817-2018
108. Spatiotemporal variability and contribution of different aerosol types to the aerosol optical depth over the Eastern Mediterranean A. Georgoulias et al. https://doi.org/10.5194/acp-16-13853-2016
109. Asian dust observed during KORUS-AQ facilitates the uptake and incorporation of soluble pollutants during transport to South Korea E. Heim et al. https://doi.org/10.1016/j.atmosenv.2020.117305
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111. Sulfur dioxide emissions in China and sulfur trends in East Asia since 2000 Z. Lu et al. https://doi.org/10.5194/acp-10-6311-2010
112. High-resolution profiling of aerosol absorption coefficients using dual-polarization lidar and a PSO–GPR machine learning approach Q. Dong et al. https://doi.org/10.1364/OE.587704
113. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. https://doi.org/10.5194/acp-22-11009-2022
114. Mixing states of aerosols over four environmentally distinct atmospheric regimes in Asia: coastal, urban, and industrial locations influenced by dust S. Ramachandran & R. Srivastava https://doi.org/10.1007/s11356-016-6254-8
115. Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories M. Petrenko et al. https://doi.org/10.5194/acp-25-1545-2025
116. Observed characteristics of dust storm events over the western United States using meteorological, satellite, and air quality measurements H. Lei & J. Wang https://doi.org/10.5194/acp-14-7847-2014
117. Dust optical properties over North Africa and Arabian Peninsula derived from the AERONET dataset D. Kim et al. https://doi.org/10.5194/acp-11-10733-2011
118. Exploring the relationship between surface PM2.5 and meteorology in Northern India J. Schnell et al. https://doi.org/10.5194/acp-18-10157-2018
119. The invigoration of deep convective clouds over the Atlantic: aerosol effect, meteorology or retrieval artifact? I. Koren et al. https://doi.org/10.5194/acp-10-8855-2010
120. Characterization of aerosols in Beijing during severe aerosol loadings H. Chen et al. https://doi.org/10.1016/j.atmosenv.2015.08.045
121. The Role of Midlatitude Cyclones in the Emission, Transport, Production, and Removal of Aerosols in the Northern Hemisphere J. Robinson et al. https://doi.org/10.1029/2022JD038131
122. Estimation of aerosol properties over the Chinese desert region with MODIS AOD assimilation in a global model X. Yin et al. https://doi.org/10.1016/j.accre.2016.04.001
123. Identification of typical dust sources in Tarim Basin based on multi-wavelength Raman polarization lidar H. Wang et al. https://doi.org/10.1016/j.atmosenv.2022.119358
124. Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations G. Myhre et al. https://doi.org/10.5194/acp-13-1853-2013
125. Maritime aerosol network as a component of AERONET – first results and comparison with global aerosol models and satellite retrievals A. Smirnov et al. https://doi.org/10.5194/amt-4-583-2011
126. Influence of the 2006 Indonesian biomass burning aerosols on tropical dynamics studied with the GEOS‐5 AGCM L. Ott et al. https://doi.org/10.1029/2009JD013181
127. Variability and trends of aerosol properties over Kanpur, northern India using AERONET data (2001–10) D. Kaskaoutis et al. https://doi.org/10.1088/1748-9326/7/2/024003
128. Comparison of Aerosol optical depth (AOD) derived from AERONET sunphotometer and Lidar system W. Khor et al. https://doi.org/10.1088/1755-1315/20/1/012058
129. Impact of snow darkening via dust, black carbon, and organic carbon on boreal spring climate in the Earth system T. Yasunari et al. https://doi.org/10.1002/2014JD022977
130. An Analysis of the Aerosol Lifecycle Over India: COALESCE Intercomparison of Three General Circulation Models A. Bhattacharya et al. https://doi.org/10.1029/2022JD036457
131. Size distribution and optical properties of mineral dust aerosols transported in the western Mediterranean C. Denjean et al. https://doi.org/10.5194/acp-16-1081-2016
132. Comparison of aerosol properties over Beijing and Kanpur: Optical, physical properties and aerosol component composition retrieved from 12 years ground‐based Sun‐sky radiometer remote sensing data Z. Li et al. https://doi.org/10.1002/2014JD022593
133. Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations C. Reddington et al. https://doi.org/10.5194/acp-16-11083-2016
134. Assessing COVID-19 lockdowns' impacts on global urban PM2.5 air quality with observations and modeling C. Yu et al. https://doi.org/10.5194/acp-25-14411-2025
135. Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor https://doi.org/10.1029/2019JD031137
136. Evaluating model parameterizations of submicron aerosol scattering and absorption with in situ data from ARCTAS 2008 M. Alvarado et al. https://doi.org/10.5194/acp-16-9435-2016
137. Direct radiative forcing of biomass burning aerosols from the extensive Australian wildfires in 2019–2020 D. Chang et al. https://doi.org/10.1088/1748-9326/abecfe
138. Impact of anthropogenic absorbing aerosols on clouds and precipitation: A review of recent progresses C. Wang https://doi.org/10.1016/j.atmosres.2012.11.005
139. The AeroCom evaluation and intercomparison of organic aerosol in global models K. Tsigaridis et al. https://doi.org/10.5194/acp-14-10845-2014
140. Simulations of black carbon over the Indian region: improvements and implications of diurnality in emissions G. Govardhan et al. https://doi.org/10.5194/acp-19-8229-2019
141. Spatial Changes in the Composition of Aerosol Structures O. Samsoni-Todorov et al. https://doi.org/10.3103/S1063455X23060085
142. Wintertime aerosol optical properties in Lanzhou, Northwest China: Emphasis on the rapid increase of aerosol absorption under high particulate pollution X. Guan et al. https://doi.org/10.1016/j.atmosenv.2020.118081
143. The long-term transport and radiative impacts of the 2017 British Columbia pyrocumulonimbus smoke aerosols in the stratosphere S. Das et al. https://doi.org/10.5194/acp-21-12069-2021
144. Effects of data assimilation on the global aerosol key optical properties simulations X. Yin et al. https://doi.org/10.1016/j.atmosres.2016.03.016
145. Impact of Relative Humidity on the vertical distribution of aerosols over India P. Prasad et al. https://doi.org/10.1016/j.atmosres.2022.106468
146. Dynamical perturbation of the stratosphere by a pyrocumulonimbus injection of carbonaceous aerosols G. Doglioni et al. https://doi.org/10.5194/acp-22-11049-2022
147. Estimation of aerosol absorption under summer conditions of Western Siberia from sun photometer data T. Bedareva & T. Zhuravleva https://doi.org/10.1134/S1024856012030025
148. Estimating global black carbon emissions using a top‐down Kalman Filter approach J. Cohen & C. Wang https://doi.org/10.1002/2013JD019912
149. Inter-comparison and performance evaluation of chemistry transport models over Indian region G. Govardhan et al. https://doi.org/10.1016/j.atmosenv.2015.10.065
150. Synoptic weather conditions and aerosol episodes over Indo-Gangetic Plains, India D. Kaskaoutis et al. https://doi.org/10.1007/s00382-014-2055-2
151. Potential impact of carbonaceous aerosol on the upper troposphere and lower stratosphere (UTLS) and precipitation during Asian summer monsoon in a global model simulation S. Fadnavis et al. https://doi.org/10.5194/acp-17-11637-2017
152. An AeroCom assessment of black carbon in Arctic snow and sea ice C. Jiao et al. https://doi.org/10.5194/acp-14-2399-2014
153. Direct radiative effects of aerosols over South Asia from observations and modeling V. Nair et al. https://doi.org/10.1007/s00382-016-3384-0
154. Assessment of the vertical distribution of speciated aerosol absorption over South Asia using spaceborne LIDAR and ground-based observations N. Lakshmi et al. https://doi.org/10.1016/j.rse.2020.112164
155. Implementation of an aerosol–cloud‐microphysics–radiation coupling into the NASA unified WRF: Simulation results for the 6–7 August 2006 AMMA special observing period J. Shi et al. https://doi.org/10.1002/qj.2286
156. Effect of volcanic emissions on clouds during the 2008 and 2018 Kilauea degassing events K. Breen et al. https://doi.org/10.5194/acp-21-7749-2021
157. Aerosols from Overseas Rival Domestic Emissions over North America H. Yu et al. https://doi.org/10.1126/science.1217576
158. Minimizing Air Pollutant Emissions from Industrial Stack Using Coconut Shell of Charcoal Absorber Y. Ruhiat et al. https://doi.org/10.1166/jctn.2020.9157
159. A reanalysis of MODIS fine mode fraction over ocean using OMI and daily GOCART simulations T. Jones & S. Christopher https://doi.org/10.5194/acp-11-5805-2011
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