175 citations as recorded by crossref.

1. Black carbon vertical profiles strongly affect its radiative forcing uncertainty B. Samset et al. https://doi.org/10.5194/acp-13-2423-2013
2. Development of high-resolution dynamic dust source function - A case study with a strong dust storm in a regional model D. Kim et al. https://doi.org/10.1016/j.atmosenv.2017.03.045
3. Estimated range of black carbon dry deposition and the related snow albedo reduction over Himalayan glaciers during dry pre-monsoon periods T. Yasunari et al. https://doi.org/10.1016/j.atmosenv.2012.03.031
4. Solar absorption by elemental and brown carbon determined from spectral observations R. Bahadur et al. https://doi.org/10.1073/pnas.1205910109
5. Combined observation of a dust storm over the Loess Plateau using a dual-wavelength lidar and an aethalometer X. Gao et al. https://doi.org/10.1016/j.apr.2017.04.010
6. Dust aerosol height estimation: A synergetic approach using passive remote sensing and modelling V. Sreekanth https://doi.org/10.1016/j.atmosenv.2014.03.038
7. Improvement of aerosol optical properties modeling over Eastern Asia with MODIS AOD assimilation in a global non-hydrostatic icosahedral aerosol transport model T. Dai et al. https://doi.org/10.1016/j.envpol.2014.06.021
8. Identification of columnar aerosol types under high aerosol optical depth conditions for a single AERONET site in Korea Y. Choi et al. https://doi.org/10.1002/2015JD024115
9. Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. https://doi.org/10.1029/2019JD032097
10. Estimates of reactive trace gases (NMVOCs, CO and NOx) and their ozone forming potentials during forest fire over Southern Himalayan region A. Kumar et al. https://doi.org/10.1016/j.atmosres.2019.04.028
11. Refined Use of Satellite Aerosol Optical Depth Snapshots to Constrain Biomass Burning Emissions in the GOCART Model M. Petrenko et al. https://doi.org/10.1002/2017JD026693
12. Source attributions of pollution to the Western Arctic during the NASA ARCTAS field campaign H. Bian et al. https://doi.org/10.5194/acp-13-4707-2013
13. Uncertainty in modeling dust mass balance and radiative forcing from size parameterization C. Zhao et al. https://doi.org/10.5194/acp-13-10733-2013
14. Wildfires in a warmer climate: Emission fluxes, emission heights, and black carbon concentrations in 2090–2099 A. Veira et al. https://doi.org/10.1002/2015JD024142
15. Asian and Trans‐Pacific Dust: A Multimodel and Multiremote Sensing Observation Analysis D. Kim et al. https://doi.org/10.1029/2019JD030822
16. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al. https://doi.org/10.5194/acp-20-969-2020
17. Estimated Global Mortality Attributable to Smoke from Landscape Fires F. Johnston et al. https://doi.org/10.1289/ehp.1104422
18. Light-absorbing impurities in a southern Tibetan Plateau glacier: Variations and potential impact on snow albedo and radiative forcing X. Li et al. https://doi.org/10.1016/j.atmosres.2017.10.002
19. Aerosols at the poles: an AeroCom Phase II multi-model evaluation M. Sand et al. https://doi.org/10.5194/acp-17-12197-2017
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
21. Identification of sources and sinks of atmospheric aerosols and their impact on east African rainfall B. Mmame et al. https://doi.org/10.1007/s11600-023-01022-7
22. Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data D. Kim et al. https://doi.org/10.1002/2013JD021099
23. Role of surface wind and vegetation cover in multi-decadal variations of dust emission in the Sahara and Sahel D. Kim et al. https://doi.org/10.1016/j.atmosenv.2016.10.051
24. Sources of light-absorbing aerosol in arctic snow and their seasonal variation D. Hegg et al. https://doi.org/10.5194/acp-10-10923-2010
25. Pollution and dust aerosols modulating tropical cyclones intensities D. Rosenfeld et al. https://doi.org/10.1016/j.atmosres.2011.06.006
26. Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth P. Colarco et al. https://doi.org/10.1029/2009JD012820
27. Spatiotemporal characteristics of aerosols in India: Observations and model simulations S. Ramachandran et al. https://doi.org/10.1016/j.atmosenv.2015.06.015
28. Characteristics of aerosol transport and distribution in East Asia J. Wu et al. https://doi.org/10.1016/j.atmosres.2013.05.018
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
32. The effect of absorbing aerosols on Indian monsoon circulation and rainfall: A review S. Sanap & G. Pandithurai https://doi.org/10.1016/j.atmosres.2015.06.002
33. Impacts of aerosol–monsoon interaction on rainfall and circulation over Northern India and the Himalaya Foothills W. Lau et al. https://doi.org/10.1007/s00382-016-3430-y
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
35. The COVID-19 lockdown: a unique perspective into heterogeneous impacts of transboundary pollution on snow and ice darkening across the Himalayas Z. Hou et al. https://doi.org/10.1093/pnasnexus/pgad172
36. Variability and trends of upper-tropospheric aerosols over the Asian summer monsoon region: an AeroCom multi-model study M. Chin et al. https://doi.org/10.5194/acp-26-6035-2026
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
39. A stochastic model for predicting aerosol optical depth over the north Indian region B. Abish & K. Mohanakumar https://doi.org/10.1080/01431161.2012.723149
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
46. Investigation of artificial neural network performance in the aerosol properties retrieval N. Srivastava et al. https://doi.org/10.2166/wcc.2021.336
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
48. Performance evaluation of chemistry transport models over India K. Moorthy et al. https://doi.org/10.1016/j.atmosenv.2013.01.056
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
65. Aerosol mixing over an urban region: radiative effects R. Srivastava et al. https://doi.org/10.1002/qj.2769
66. Remote sensing of aerosols over drylands: Challenges, uncertainties, and paths forward C. Chen et al. https://doi.org/10.1126/sciadv.aec4247
67. 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
68. 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
69. Radiative effects of absorbing aerosols over northeastern India: Observations and model simulations M. Gogoi et al. https://doi.org/10.1002/2016JD025592
70. 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
71. SO2 Emissions in China – Their Network and Hierarchical Structures S. Yan & G. Wu https://doi.org/10.1038/srep46216
72. Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing C. Chen et al. https://doi.org/10.1038/s41467-022-35147-y
73. 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
74. 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
75. 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
76. Air Pollutants Minimalization of Pollutant Absorber with Condensation System Y. Ruhiat et al. https://doi.org/10.1088/1742-6596/846/1/012014
77. 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
78. 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
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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
85. 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
86. Analysis and evaluation of the global aerosol optical properties simulated by an online aerosol-coupled non-hydrostatic icosahedral atmospheric model T. Dai et al. https://doi.org/10.1007/s00376-014-4098-z
87. 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
88. Satellite assessment of sea spray aerosol productivity: Southern Ocean case study M. Witek et al. https://doi.org/10.1002/2015JD023726
89. Elastic Microstaggered Porous Superhydrophilic Framework as a Robust Fogwater Harvester J. Li et al. https://doi.org/10.1021/acsami.0c15633
90. 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
91. Global aerosol mixtures and their multiyear and seasonal characteristics M. Taylor et al. https://doi.org/10.1016/j.atmosenv.2015.06.029
92. 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
93. 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
94. 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
95. 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
96. Impact of meteorological parameterization schemes on CTM model simulations N. Srivastava & N. Blond https://doi.org/10.1016/j.atmosenv.2021.118832
97. 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
98. 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
99. 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
100. Global component aerosol direct radiative effect at the top of atmosphere T. Zhao et al. https://doi.org/10.1080/01431161.2010.517790
101. A comparison of atmospheric aerosol absorption properties from the MERRA-2 reanalysis with AERONET V. Bakatsoula et al. https://doi.org/10.1016/j.atmosenv.2023.119997
102. Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide M. Mu et al. https://doi.org/10.1029/2011JD016245
103. Parametric analysis for global single scattering albedo calculations J. Jeong et al. https://doi.org/10.1016/j.atmosenv.2020.117616
104. 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
105. 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
106. 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
107. 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
108. 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
109. 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
110. 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
111. The Impacts of Immersion Ice Nucleation Parameterizations on Arctic Mixed-Phase Stratiform Cloud Properties and the Arctic Radiation Budget in GEOS-5 I. Tan & D. Barahona https://doi.org/10.1175/JCLI-D-21-0368.1
112. 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
113. 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
114. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. https://doi.org/10.5194/acp-22-11009-2022
115. 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
116. 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
117. 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
118. 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
119. 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
120. 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
121. Characterization of aerosols in Beijing during severe aerosol loadings H. Chen et al. https://doi.org/10.1016/j.atmosenv.2015.08.045
122. 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
123. 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
124. 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
125. 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
126. 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
127. 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
128. 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
129. 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
130. 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
131. 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
132. 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
133. 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
134. 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
135. 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
136. 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
137. 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
138. 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
139. 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
140. The AeroCom evaluation and intercomparison of organic aerosol in global models K. Tsigaridis et al. https://doi.org/10.5194/acp-14-10845-2014
141. 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
142. Spatial Changes in the Composition of Aerosol Structures O. Samsoni-Todorov et al. https://doi.org/10.3103/S1063455X23060085
143. 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
144. 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
145. 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
146. 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
147. 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
148. Estimation of aerosol absorption under summer conditions of Western Siberia from sun photometer data T. Bedareva & T. Zhuravleva https://doi.org/10.1134/S1024856012030025
149. Estimating global black carbon emissions using a top‐down Kalman Filter approach J. Cohen & C. Wang https://doi.org/10.1002/2013JD019912
150. 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
151. Synoptic weather conditions and aerosol episodes over Indo-Gangetic Plains, India D. Kaskaoutis et al. https://doi.org/10.1007/s00382-014-2055-2
152. 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
153. 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
154. 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
155. 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
156. 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
157. 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
158. Aerosols from Overseas Rival Domestic Emissions over North America H. Yu et al. https://doi.org/10.1126/science.1217576
159. 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
160. 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
161. Cloudy-sky contributions to the direct aerosol effect G. Myhre et al. https://doi.org/10.5194/acp-20-8855-2020
162. Impact of aerosol microphysical properties on mass scattering cross sections V. Obiso et al. https://doi.org/10.1016/j.jaerosci.2017.03.001
163. A multi-model evaluation of aerosols over South Asia: common problems and possible causes X. Pan et al. https://doi.org/10.5194/acp-15-5903-2015
164. Orbital Observations of Dust Lofted by Daytime Convective Turbulence L. Fenton et al. https://doi.org/10.1007/s11214-016-0243-6
165. Refractive Indices of Biomass Burning Aerosols Obtained from African Biomass Fuels Using RDG Approximation E. Sarpong et al. https://doi.org/10.3390/atmos11010062
166. A climatology of aerosol optical and microphysical properties over the Indian subcontinent from 9 years (2000–2008) of Multiangle Imaging Spectroradiometer (MISR) data S. Dey & L. Di Girolamo https://doi.org/10.1029/2009JD013395
167. Persistent elevated levels of dissolved lead in the Indian Ocean post-leaded gasoline ban: The impact of anthropogenic activities, sediment desorption, and dust storms C. Yadav et al. https://doi.org/10.1016/j.marpolbul.2025.117874
168. Comparison of CALIPSO aerosol optical depth retrievals to AERONET measurements, and a climatology for the lidar ratio of dust G. Schuster et al. https://doi.org/10.5194/acp-12-7431-2012
169. A global simulation of brown carbon: implications for photochemistry and direct radiative effect D. Jo et al. https://doi.org/10.5194/acp-16-3413-2016
170. Comparative assessment of the spectral impact on the energy yield of high concentrator and conventional photovoltaic technology E. Fernández et al. https://doi.org/10.1016/j.solmat.2015.12.003
171. Investigation of aerosol–cloud interactions under different absorptive aerosol regimes using Atmospheric Radiation Measurement (ARM) southern Great Plains (SGP) ground-based measurements X. Zheng et al. https://doi.org/10.5194/acp-20-3483-2020
172. How Does a Pinatubo‐Size Volcanic Cloud Reach the Middle Stratosphere? G. Stenchikov et al. https://doi.org/10.1029/2020JD033829
173. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm C. Chen et al. https://doi.org/10.5194/acp-18-12551-2018
174. Atmospheric nourishment of global ocean ecosystems T. Westberry et al. https://doi.org/10.1126/science.abq5252
175. Constraining Aging Processes of Black Carbon in the Community Atmosphere Model Using Environmental Chamber Measurements Y. Wang et al. https://doi.org/10.1029/2018MS001387