64 citations as recorded by crossref.

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2. An observational study of the effects of aerosols on diurnal variation of heavy rainfall and associated clouds over Beijing–Tianjin–Hebei S. Zhou et al. https://doi.org/10.5194/acp-20-5211-2020
3. Quantifying the Long-Term MODIS Cloud Regime Dependent Relationship between Aerosol Optical Depth and Cloud Properties over China Y. Li et al. https://doi.org/10.3390/rs14163844
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5. Relationship between cloud condensation nuclei (CCN) concentration and aerosol optical depth in the Arctic region S. Ahn et al. https://doi.org/10.1016/j.atmosenv.2021.118748
6. Lightning Activity Variability with Prevailing Weather Parameters and Aerosol Loading Over Dry and Wet Regions of India M. Tinmaker et al. https://doi.org/10.1007/s00024-021-02695-1
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13. Aerosol–radiation feedback deteriorates the wintertime haze in the North China Plain J. Wu et al. https://doi.org/10.5194/acp-19-8703-2019
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17. Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. https://doi.org/10.1029/2022EA002706
18. The Impact of Ship Emission Controls Recorded by Cloud Properties E. Gryspeerdt et al. https://doi.org/10.1029/2019GL084700
19. Aerosol effects on cloud cover as evidenced by ground‐based and space‐based observations at five rural sites in the United States J. Ten Hoeve & J. Augustine https://doi.org/10.1002/2015GL066873
20. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. https://doi.org/10.5194/acp-20-1607-2020
21. Observation‐Based Study on Aerosol Optical Depth and Particle Size in Partly Cloudy Regions T. Várnai et al. https://doi.org/10.1002/2017JD027028
22. Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations T. Fan et al. https://doi.org/10.1002/joc.5490
23. A cloud‐resolving model study of aerosol‐cloud correlation in a pristine maritime environment N. Nishant & S. Sherwood https://doi.org/10.1002/2017GL073267
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25. Wet scavenging limits the detection of aerosol effects on precipitation E. Gryspeerdt et al. https://doi.org/10.5194/acp-15-7557-2015
26. The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing J. Johnson et al. https://doi.org/10.5194/acp-18-13031-2018
27. Application of WRF/Chem over North America under the AQMEII Phase 2: Part I. Comprehensive evaluation of 2006 simulation K. Yahya et al. https://doi.org/10.1016/j.atmosenv.2014.08.063
28. Factors Controlling Cloud Albedo in Marine Subtropical Stratocumulus Regions in Climate Models and Satellite Observations F. Bender et al. https://doi.org/10.1175/JCLI-D-15-0095.1
29. Investigation of the aerosol–cloud–rainfall association over the Indian summer monsoon region C. Sarangi et al. https://doi.org/10.5194/acp-17-5185-2017
30. Estimation of cloud condensation nuclei concentration from aerosol optical quantities: influential factors and uncertainties J. Liu & Z. Li https://doi.org/10.5194/acp-14-471-2014
31. Systematic satellite observations of the impact of aerosols from passive volcanic degassing on local cloud properties S. Ebmeier et al. https://doi.org/10.5194/acp-14-10601-2014
32. Thermodynamical and cloud microphysical response during the transition from southwest to northeast monsoon S. Nair et al. https://doi.org/10.1016/j.atmosres.2015.06.018
33. Relationship between aerosol and cloud characteristics over Delhi in North India during the dry and wet season P. Verma et al. https://doi.org/10.1016/j.jastp.2024.106233
34. Global observations of cloud‐sensitive aerosol loadings in low‐level marine clouds H. Andersen et al. https://doi.org/10.1002/2016JD025614
35. On the cause-and-effect relations between aerosols, water vapor, and clouds over East Asia S. Stathopoulos et al. https://doi.org/10.1007/s00704-021-03563-7
36. The contribution of the strength and structure of extratropical cyclones to observed cloud–aerosol relationships B. Grandey et al. https://doi.org/10.5194/acp-13-10689-2013
37. Variation and Driving Factor of Aerosol Optical Depth over the South China Sea from 1980 to 2020 E. Sun et al. https://doi.org/10.3390/atmos13030372
38. Addendum to figs. 10 and 11 in “Clear-sky shortwave downward flux at the earth's surface: Ground-based data vs. satellite-based data” [J. Quant. Spec. and Rad. Tran. 224 (2019) 247-260] T. Zhang et al. https://doi.org/10.1016/j.jqsrt.2020.107487
39. Observational evidence for aerosols increasing upper tropospheric humidity L. Riuttanen et al. https://doi.org/10.5194/acp-16-14331-2016
40. How thermodynamic environments control stratocumulus microphysics and interactions with aerosols H. Andersen & J. Cermak https://doi.org/10.1088/1748-9326/10/2/024004
41. Rain‐aerosol relationships influenced by wind speed Y. Yang et al. https://doi.org/10.1002/2016GL067770
42. Deciphering Seasonal Variability and Source Dynamics of Urban Pollutants Over Delhi Under Surface Meteorological Influence Using Ground-Based and Trajectory Modeling Techniques . Prakriti et al. https://doi.org/10.1007/s41748-024-00541-7
43. Satellite observations of cloud regime development: the role of aerosol processes E. Gryspeerdt et al. https://doi.org/10.5194/acp-14-1141-2014
44. Satellite-based estimate of global aerosol–cloud radiative forcing by marine warm clouds Y. Chen et al. https://doi.org/10.1038/ngeo2214
45. A study of the impact of synoptic weather conditions and water vapor on aerosol–cloud relationships over major urban clusters of China K. Kourtidis et al. https://doi.org/10.5194/acp-15-10955-2015
46. Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. https://doi.org/10.5194/acp-23-10775-2023
47. Cloud fraction response to aerosol driven by nighttime processes G. Pugsley et al. https://doi.org/10.1073/pnas.2509949122
48. Droplet Size Distributions as a function of rainy system type and Cloud Condensation Nuclei concentrations M. Cecchini et al. https://doi.org/10.1016/j.atmosres.2014.02.022
49. A seasonal analysis of aerosol-cloud-radiation interaction over Indian region during 2000–2017 S. Kant et al. https://doi.org/10.1016/j.atmosenv.2018.12.044
50. Radiative response of biomass-burning aerosols over an urban atmosphere in northern peninsular Southeast Asia S. Pani et al. https://doi.org/10.1016/j.scitotenv.2018.03.204
51. Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate M. Christensen et al. https://doi.org/10.5194/acp-17-13151-2017
52. Post-processing to remove residual clouds from aerosol optical depth retrieved using the Advanced Along Track Scanning Radiometer L. Sogacheva et al. https://doi.org/10.5194/amt-10-491-2017
53. Links between satellite-retrieved aerosol and precipitation E. Gryspeerdt et al. https://doi.org/10.5194/acp-14-9677-2014
54. A satellite-observation based study on responses of clouds to aerosols over South Asia during IOD events of south-west monsoon season J. Panda et al. https://doi.org/10.1016/j.apr.2023.101861
55. Dust impact on surface solar irradiance assessed with model simulations, satellite observations and ground-based measurements P. Kosmopoulos et al. https://doi.org/10.5194/amt-10-2435-2017
56. Significant Underestimation in the Optically Based Estimation of the Aerosol First Indirect Effect Induced by the Aerosol Swelling Effect J. Liu & Z. Li https://doi.org/10.1029/2018GL077679
57. Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. https://doi.org/10.5194/acp-23-5435-2023
58. Aerosol variability, synoptic‐scale processes, and their link to the cloud microphysics over the northeast Pacific during MAGIC D. Painemal et al. https://doi.org/10.1002/2015JD023175
59. Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks H. Andersen et al. https://doi.org/10.5194/acp-17-9535-2017
60. Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning J. Fuchs et al. https://doi.org/10.5194/acp-18-16537-2018
61. Meteorological conditions and their effects on the relationship between aerosol optical depth and macro-physical properties of warm clouds over Shanghai based on MODIS Q. Liu et al. https://doi.org/10.1016/j.apr.2020.07.001
62. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
63. Understanding the aerosol-cloud interactions using reanalysis dataset over the Indian subcontinent S. Budakoti et al. https://doi.org/10.1007/s00704-025-05850-z
64. Comprehensive mapping and characteristic regimes of aerosol effects on the formation and evolution of pyro-convective clouds D. Chang et al. https://doi.org/10.5194/acp-15-10325-2015