106 citations as recorded by crossref.

1. Seasonality of the mass concentration and chemical composition of aerosols around an urbanized basin in East Asia C. Chou et al. https://doi.org/10.1002/2016JD025728
2. Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al. https://doi.org/10.5194/acp-19-13097-2019
3. Significant abundances of alkaline components in the fine and coarse aerosols over a tropical rain shadow location in peninsular India P. Soyam et al. https://doi.org/10.1007/s10874-023-09447-6
4. Recent trend in the global distribution of aerosol direct radiative forcing from satellite measurements T. Subba et al. https://doi.org/10.1002/asl.975
5. Transport of black carbon from planetary boundary layer to free troposphere during the summer monsoon over South Asia P. Singh et al. https://doi.org/10.1016/j.atmosres.2019.104761
6. The Geographical Size Index for Ranking and Typology of Cities N. Sluka et al. https://doi.org/10.1007/s11205-019-02069-0
7. Evaluation of the simulated aerosol optical properties over India: COALESCE model inter-comparison of three GCMs with ground and satellite observations T. Sarkar et al. https://doi.org/10.1016/j.scitotenv.2022.158442
8. Quantifying the low bias of CALIPSO's column aerosol optical depth due to undetected aerosol layers M. Kim et al. https://doi.org/10.1002/2016JD025797
9. Estimates of spatially and temporally resolved constrained organic matter and sulfur dioxide emissions over the Indian region through the strategic source constraints modelling S. Ghosh & S. Verma https://doi.org/10.1016/j.atmosres.2022.106504
10. Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
11. Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave L. Palacios-Peña et al. https://doi.org/10.5194/acp-20-9679-2020
12. Temporal variability in aerosol characteristics and its radiative properties over Patiala, northwestern part of India: Impact of agricultural biomass burning emissions D. Sharma et al. https://doi.org/10.1016/j.envpol.2017.08.052
13. Discordant future climate-driven changes in winter PM2.5 pollution across India under a warming climate X. Zhang et al. https://doi.org/10.1525/elementa.2022.00149
14. Light absorption properties of brown carbon in the high Himalayas E. Kirillova et al. https://doi.org/10.1002/2016JD025030
15. Improving XCO2 retrieval under high aerosol loads with fused satellite aerosol Data: Advancing understanding of anthropogenic emissions H. Zhu et al. https://doi.org/10.1016/j.isprsjprs.2025.03.009
16. Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study C. Bharali et al. https://doi.org/10.5194/acp-24-6635-2024
17. Multi-Model Evaluation of Meteorological Drivers, Air Pollutants and Quantification of Emission Sources over the Upper Brahmaputra Basin A. Saikia et al. https://doi.org/10.3390/atmos10110703
18. A review on recent progress in observations, sources, classification and regulations of PM2.5 in Asian environments S. Gautam et al. https://doi.org/10.1007/s11356-016-7515-2
19. Stringent Emission Control Policies Can Provide Large Improvements in Air Quality and Public Health in India L. Conibear et al. https://doi.org/10.1029/2018GH000139
20. Local and Remote Impacts of Aerosol Species on Indian Summer Monsoon Rainfall in a GCM L. Guo et al. https://doi.org/10.1175/JCLI-D-15-0728.1
21. Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models S. Philip et al. https://doi.org/10.1088/1748-9326/aa65a4
22. Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India A. Misra et al. https://doi.org/10.5194/angeo-34-657-2016
23. Anthropogenic sulfate aerosol pollution in South and East Asia induces increased summer precipitation over arid Central Asia X. Xie et al. https://doi.org/10.1038/s43247-022-00660-x
24. Constrained simulation of aerosol species and sources during pre-monsoon season over the Indian subcontinent D. Bharath Kumar et al. https://doi.org/10.1016/j.atmosres.2018.07.001
25. Decreasing Dust Over the Middle East Partly Caused by Irrigation Expansion W. Xia et al. https://doi.org/10.1029/2021EF002252
26. South and Southeast Asia controls black carbon characteristics of Meili Snow Mountains in southeast Tibetan Plateau P. Chen et al. https://doi.org/10.1016/j.scitotenv.2024.172262
27. Absorbing aerosols over Asia – an inter-model and model-observation comparison study using CAM5.3-Oslo L. Frey et al. https://doi.org/10.1080/16000889.2021.1909815
28. Evaluation and Projection of Surface PM2.5 and Its Exposure on Population in Asia Based on the CMIP6 GCMs Y. Xu et al. https://doi.org/10.3390/ijerph191912092
29. Air Pollution and Health Burden in India Quantified Using the AEIM-India Emission Inventory M. Lund et al. https://doi.org/10.1021/acsestair.5c00171
30. Quantification of anthropogenic aerosol and radiative properties over Bangladesh S. Zaman et al. https://doi.org/10.1016/j.rsase.2025.101511
31. Model simulation of carbonaceous fine particulate matter using SAFAR emission inventory and comparison with EDGAR-HTAP simulations P. Kumar et al. https://doi.org/10.1016/j.atmosenv.2023.120147
32. Bayesian Merging of MISR and MODIS Aerosol Optical Depth Products Using Error Distributions From AERONET M. Singh et al. https://doi.org/10.1109/JSTARS.2017.2734331
33. Brown carbon absorption in the Mediterranean basin from local and long-range transported biomass burning air masses G. Methymaki et al. https://doi.org/10.1016/j.atmosenv.2023.119822
34. Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al. https://doi.org/10.1016/j.rse.2023.113878
35. Aerosol characteristics over Indo-Gangetic Plain from ground-based AERONET and MERRA-2/CAMS model simulations K. Ansari & S. Ramachandran https://doi.org/10.1016/j.atmosenv.2022.119434
36. Aerosol optical properties derived from POLDER-3/PARASOL (2005–2013) over the western Mediterranean Sea – Part 1: Quality assessment with AERONET and in situ airborne observations P. Formenti et al. https://doi.org/10.5194/amt-11-6761-2018
37. 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
38. 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
39. Modeling of aerosol induced snow albedo feedbacks over the Himalayas and its implications on regional climate K. Usha et al. https://doi.org/10.1007/s00382-020-05222-5
40. Application of Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) and Weather Research Forecasting (WRF) model meteorological data for assessment of fine particulate matter (PM2.5) over India Y. Sathe et al. https://doi.org/10.1016/j.apr.2018.08.016
41. Wintertime direct radiative effects due to black carbon (BC) over the Indo-Gangetic Plain as modelled with new BC emission inventories in CHIMERE S. Ghosh et al. https://doi.org/10.5194/acp-21-7671-2021
42. Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF L. Regayre et al. https://doi.org/10.5194/acp-18-9975-2018
43. Vertical and horizontal distribution of submicron aerosol chemical composition and physical characteristics across northern India during pre-monsoon and monsoon seasons J. Brooks et al. https://doi.org/10.5194/acp-19-5615-2019
44. Dangerous trends of air pollution over Farafenni-Gambia using Fourteen Years Satellite data M. Emetere et al. https://doi.org/10.1016/j.promfg.2019.06.035
45. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. https://doi.org/10.5194/acp-20-14547-2020
46. Radiative and thermodynamic responses to aerosol extinction profiles during the pre-monsoon month over South Asia Y. Feng et al. https://doi.org/10.5194/acp-16-247-2016
47. Distinct responses of Asian summer monsoon to black carbon aerosols and greenhouse gases X. Xie et al. https://doi.org/10.5194/acp-20-11823-2020
48. The impact of residential combustion emissions on atmospheric aerosol, human health, and climate E. Butt et al. https://doi.org/10.5194/acp-16-873-2016
49. Absorbing aerosols and high‐temperature extremes in India: A general circulation modelling study A. Mondal et al. https://doi.org/10.1002/joc.6783
50. WRF and WRF-Chem v3.5.1 simulations of meteorology and black carbon concentrations in the Kathmandu Valley A. Mues et al. https://doi.org/10.5194/gmd-11-2067-2018
51. Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
52. Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals Q. Zafar et al. https://doi.org/10.1002/joc.5230
53. Water soluble organic aerosols in indo gangetic plain (IGP): Insights from aerosol mass spectrometry A. Chakraborty et al. https://doi.org/10.1016/j.scitotenv.2017.05.142
54. Assessment of the simulated aerosol optical properties and regional meteorology using WRF-Chem model G. Ali et al. https://doi.org/10.1007/s12517-021-08238-1
55. Cascading Delays in the Monsoon Rice Growing Season and Postmonsoon Agricultural Fires Likely Exacerbate Air Pollution in North India T. Liu et al. https://doi.org/10.1029/2022JD036790
56. How Will Air Quality Change in South Asia by 2050? R. Kumar et al. https://doi.org/10.1002/2017JD027357
57. Aerosol characteristics over the Tibetan Plateau simulated with a coupled aerosol–climate model (FGOALS-f3-L) 耦合气溶胶气候模式FGOALS-f3-L模拟青藏高原地区气溶胶特性 M. Zhao et al. https://doi.org/10.1016/j.aosl.2021.100031
58. 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
59. Changes in the aerosol direct radiative forcing from 2001 to 2015: observational constraints and regional mechanisms F. Paulot et al. https://doi.org/10.5194/acp-18-13265-2018
60. The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. https://doi.org/10.3390/rs12182900
61. Surface and satellite observations of air pollution in India during COVID-19 lockdown: Implication to air quality Y. Sathe et al. https://doi.org/10.1016/j.scs.2020.102688
62. Biomass burning increase in Southeast Asia is dominated by char black carbon W. Song et al. https://doi.org/10.1038/s43247-026-03431-0
63. Estimates of spatially and temporally resolved constrained black carbon emission over the Indian region using a strategic integrated modelling approach S. Verma et al. https://doi.org/10.1016/j.atmosres.2017.05.007
64. Future projections of Siberian wildfire and aerosol emissions R. Nurrohman et al. https://doi.org/10.5194/bg-21-4195-2024
65. Evaluation of WRF-Chem-simulated meteorology and aerosols over northern India during the severe pollution episode of 2016 P. Agarwal et al. https://doi.org/10.5194/acp-24-2239-2024
66. 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
67. Global radiative effects of solid fuel cookstove aerosol emissions Y. Huang et al. https://doi.org/10.5194/acp-18-5219-2018
68. Recent Increase in Winter Hazy Days over Central India and the Arabian Sea A. Thomas et al. https://doi.org/10.1038/s41598-019-53630-3
69. Dependence of water vapor radiative forcing on aerosol loading: Analyses over the densely populated and highly polluted Indo-Gangetic Plain region U. Dumka et al. https://doi.org/10.1016/j.atmosres.2025.108343
70. Impacts of large-scale atmospheric circulation changes in winter on black carbon transport and deposition to the Arctic L. Pozzoli et al. https://doi.org/10.5194/acp-17-11803-2017
71. Extreme Smog Challenge of India Intensified by Increasing Lower Tropospheric Stability R. Gautam et al. https://doi.org/10.1029/2023GL103105
72. Black carbon physical and optical properties across northern India during pre-monsoon and monsoon seasons J. Brooks et al. https://doi.org/10.5194/acp-19-13079-2019
73. 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
74. The South Asian Monsoon Response to Remote Aerosols: Global and Regional Mechanisms D. Shawki et al. https://doi.org/10.1029/2018JD028623
75. 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
76. Impact of biomass burning on regional aerosol optical properties: A case study over northern India D. Shaik et al. https://doi.org/10.1016/j.jenvman.2019.04.025
77. Estimation of the Elemental to Organic Carbon Ratio in Biomass Burning Aerosol Using AERONET Retrievals I. Konovalov et al. https://doi.org/10.3390/atmos8070122
78. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. https://doi.org/10.1029/2019MS001816
79. Impact of Dust-Cloud-Radiation-Precipitation Dynamical Feedback on Subseasonal-to-Seasonal Variability of the Asian Summer Monsoon in Global Variable-Resolution Simulations With MPAS-CAM5 W. Lau et al. https://doi.org/10.3389/feart.2020.00226
80. Simulating secondary organic aerosol from missing diesel-related intermediate-volatility organic compound emissions during the Clean Air for London (ClearfLo) campaign R. Ots et al. https://doi.org/10.5194/acp-16-6453-2016
81. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations J. Gliß et al. https://doi.org/10.5194/acp-21-87-2021
82. Regional sulfate drives long-term rise in AOD over megacity Kolkata, India P. Rawat et al. https://doi.org/10.1016/j.atmosenv.2019.04.031
83. Radiative effects of absorbing aerosols over northeastern India: Observations and model simulations M. Gogoi et al. https://doi.org/10.1002/2016JD025592
84. Global Aerosol Climatology from ICESat-2 Lidar Observations S. Kuang et al. https://doi.org/10.3390/rs17132240
85. 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
86. Impact of mixing layer height on air quality in winter B. Murthy et al. https://doi.org/10.1016/j.jastp.2019.105157
87. Large Variations in Hygroscopic Properties of Unconventional Mineral Dust C. Peng et al. https://doi.org/10.1021/acsearthspacechem.0c00219
88. Spatio‐temporal variations of black carbon and optical properties in a regional climate model R. Srivastava & S. Bran https://doi.org/10.1002/joc.4787
89. Observationally Constrained Wintertime Emission Fluxes and Atmospheric Lifetime of Black Carbon in South Asia S. Dasari et al. https://doi.org/10.1021/acs.estlett.5c00079
90. Impacts of household sources on air pollution at village and regional scales in India B. Rooney et al. https://doi.org/10.5194/acp-19-7719-2019
91. Origin, Maintenance and Variability of the Asian Tropopause Aerosol Layer (ATAL): The Roles of Monsoon Dynamics W. Lau et al. https://doi.org/10.1038/s41598-018-22267-z
92. Strong intermodel differences and biases in CMIP6 simulations of PM2.5, aerosol optical depth, and precipitation over Africa C. Toolan et al. https://doi.org/10.5194/acp-25-10523-2025
93. Large-Scale Urban Heating and Pollution Domes over the Indian Subcontinent T. Chakraborty et al. https://doi.org/10.3390/rs15102681
94. Impact of Snow Darkening by Deposition of Light-Absorbing Aerosols on Snow Cover in the Himalayas–Tibetan Plateau and Influence on the Asian Summer Monsoon: A Possible Mechanism for the Blanford Hypothesis W. Lau & K. Kim https://doi.org/10.3390/atmos9110438
95. Spatiotemporal Assessment of Aerosol Optical Depth and Climatic Interactions Over Jaipur City: Trends, Anomalies, and Urban Air Quality Insights A. Yadav et al. https://doi.org/10.1007/s12647-026-00915-4
96. 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
97. Black carbon and biomass burning associated high pollution episodes observed at Doon valley in the foothills of the Himalayas V. Prabhu et al. https://doi.org/10.1016/j.atmosres.2020.105001
98. Economy-pollution nexus model of cities at river basin scale based on multi-agent simulation: A conceptual framework Y. Gao et al. https://doi.org/10.1016/j.ecolmodel.2018.04.004
99. Regional and seasonal radiative forcing by perturbations to aerosol and ozone precursor emissions N. Bellouin et al. https://doi.org/10.5194/acp-16-13885-2016
100. Investigation of PM2.5 mass concentration over India using a regional climate model S. Bran & R. Srivastava https://doi.org/10.1016/j.envpol.2017.02.030
101. Regional simulation of aerosol radiative effects and their influence on rainfall over India using WRFChem model S. Kedia et al. https://doi.org/10.1016/j.atmosres.2016.07.008
102. Regional and global temperature response to anthropogenic SO2 emissions from China in three climate models M. Kasoar et al. https://doi.org/10.5194/acp-16-9785-2016
103. Developing a long-term high-resolution winter fog climatology over south Asia using satellite observations from 2002 to 2020 M. Singh & R. Gautam https://doi.org/10.1016/j.rse.2022.113128
104. Black carbon health impacts in the Indo-Gangetic plain: Exposures, risks, and mitigation S. Verma et al. https://doi.org/10.1126/sciadv.abo4093
105. Aerosol radiative feedback enhances particulate pollution over India: A process understanding A. Sharma et al. https://doi.org/10.1016/j.atmosenv.2023.119609
106. How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models? H. Lee et al. https://doi.org/10.3390/rs10091326