63 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
4. Common summertime total cloud cover and aerosol optical depth weekly variabilities over Europe: Sign of the aerosol indirect effects? A. Georgoulias et al. https://doi.org/10.1016/j.atmosres.2014.07.031
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
7. Land-sea contrasts for climatic lightning activity over Indian region M. Tinmaker et al. https://doi.org/10.1007/s00704-019-02862-4
8. Current status of aerosol-cloud interactions and their impact over the Northern Indian Ocean: A comprehensive review S. Tiwari et al. https://doi.org/10.1016/j.atmosres.2022.106555
9. Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. https://doi.org/10.5194/acp-19-5331-2019
10. Processes limiting the emergence of detectable aerosol indirect effects on tropical warm clouds in global aerosol-climate model and satellite data K. Peters et al. https://doi.org/10.3402/tellusb.v66.24054
11. Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing T. Eck et al. https://doi.org/10.1029/2018JD028313
12. A review of aerosol-cloud interactions: Mechanisms, climate effects, and observation methods T. Li et al. https://doi.org/10.1016/j.atmosres.2025.108267
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
14. Machine learning reveals strong grid-scale dependence in the satellite Nd–LWP relationship M. Christensen et al. https://doi.org/10.5194/acp-26-59-2026
15. Comparisons of AGRI/FY-4A Cloud Fraction and Cloud Top Pressure with MODIS/Terra Measurements over East Asia T. Wang et al. https://doi.org/10.1007/s13351-019-8160-8
16. 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
17. The Impact of Ship Emission Controls Recorded by Cloud Properties E. Gryspeerdt et al. https://doi.org/10.1029/2019GL084700
18. 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
19. 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
20. Observation‐Based Study on Aerosol Optical Depth and Particle Size in Partly Cloudy Regions T. Várnai et al. https://doi.org/10.1002/2017JD027028
21. 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
22. A cloud‐resolving model study of aerosol‐cloud correlation in a pristine maritime environment N. Nishant & S. Sherwood https://doi.org/10.1002/2017GL073267
23. Aerosol indirect effect dictated by liquid clouds M. Christensen et al. https://doi.org/10.1002/2016JD025245
24. Wet scavenging limits the detection of aerosol effects on precipitation E. Gryspeerdt et al. https://doi.org/10.5194/acp-15-7557-2015
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. Global observations of cloud‐sensitive aerosol loadings in low‐level marine clouds H. Andersen et al. https://doi.org/10.1002/2016JD025614
34. 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
35. 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
36. 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
37. 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
38. Observational evidence for aerosols increasing upper tropospheric humidity L. Riuttanen et al. https://doi.org/10.5194/acp-16-14331-2016
39. How thermodynamic environments control stratocumulus microphysics and interactions with aerosols H. Andersen & J. Cermak https://doi.org/10.1088/1748-9326/10/2/024004
40. Rain‐aerosol relationships influenced by wind speed Y. Yang et al. https://doi.org/10.1002/2016GL067770
41. 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
42. Satellite observations of cloud regime development: the role of aerosol processes E. Gryspeerdt et al. https://doi.org/10.5194/acp-14-1141-2014
43. Satellite-based estimate of global aerosol–cloud radiative forcing by marine warm clouds Y. Chen et al. https://doi.org/10.1038/ngeo2214
44. 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
45. 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
46. Cloud fraction response to aerosol driven by nighttime processes G. Pugsley et al. https://doi.org/10.1073/pnas.2509949122
47. 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
48. 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
49. 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
50. 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
51. 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
52. Links between satellite-retrieved aerosol and precipitation E. Gryspeerdt et al. https://doi.org/10.5194/acp-14-9677-2014
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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
61. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
62. 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
63. 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