154 citations as recorded by crossref.

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2. Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. 10.1029/2022EA002706
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5. Investigating the development of clouds within marine cold-air outbreaks R. Murray-Watson et al. 10.5194/acp-23-9365-2023
6. Approaches to Observe Anthropogenic Aerosol-Cloud Interactions J. Quaas 10.1007/s40641-015-0028-0
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18. The scale problem in quantifying aerosol indirect effects A. McComiskey & G. Feingold 10.5194/acp-12-1031-2012
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20. Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus H. Jia et al. 10.1029/2019GL085081
21. Estimates of aerosol radiative forcing from the MACC re-analysis N. Bellouin et al. 10.5194/acp-13-2045-2013
22. Shipping regulations lead to large reduction in cloud perturbations D. Watson-Parris et al. 10.1073/pnas.2206885119
23. Anthropogenic aerosol forcing under the Shared Socioeconomic Pathways M. Lund et al. 10.5194/acp-19-13827-2019
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27. Reducing CO<sub>2</sub> from shipping – do non-CO<sub>2</sub> effects matter? M. Eide et al. 10.5194/acp-13-4183-2013
28. Sensitivity to deliberate sea salt seeding of marine clouds – observations and model simulations K. Alterskjær et al. 10.5194/acp-12-2795-2012
29. A new statistical approach to improve the satellite-based estimation of the radiative forcing by aerosol–cloud interactions P. Patel et al. 10.5194/acp-17-3687-2017
30. Substantial cooling effect from aerosol-induced increase in tropical marine cloud cover Y. Chen et al. 10.1038/s41561-024-01427-z
31. Assessment of aerosol-cloud interactions over the Northern Indian Ocean H. Kumar & S. Tiwari 10.1016/j.atmosres.2024.107601
32. Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. 10.16993/tellusb.27
33. Cirrus clouds in a global climate model with a statistical cirrus cloud scheme M. Wang & J. Penner 10.5194/acp-10-5449-2010
34. Weak liquid water path response in ship tracks A. Tippett et al. 10.5194/acp-24-13269-2024
35. Aerosol Effects on Clouds and Climate U. Lohmann 10.1007/s11214-006-9051-8
36. Aerosol optical depth increase in partly cloudy conditions D. Chand et al. 10.1029/2012JD017894
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38. Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites H. Bai et al. 10.5194/acp-18-1763-2018
39. Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. 10.5194/acp-19-5331-2019
40. Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
41. Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data J. Quaas et al. 10.5194/acp-9-8697-2009
42. Regional-scale relationships between aerosol and summer monsoon circulation, and precipitation over northeast Asia S. Yoon et al. 10.1007/s13143-010-1002-3
43. Testing for the Possible Influence of Unknown Climate Forcings upon Global Temperature Increases from 1950 to 2000 B. Anderson et al. 10.1175/JCLI-D-11-00645.1
44. A global process-based study of marine CCN trends and variability E. Dunne et al. 10.5194/acp-14-13631-2014
45. A New Method for Distinguishing Unactivated Particles in Cloud Condensation Nuclei Measurements: Implications for Aerosol Indirect Effect Evaluation Y. Wang et al. 10.1029/2019GL085379
46. An Observational Study on Cloud Spectral Width in North China Y. Wang et al. 10.3390/atmos10030109
47. Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: evaluation of candidate approaches with MODIS observations F. Werner & H. Deneke 10.5194/amt-13-1089-2020
48. A warmer policy for a colder climate: Can China both reduce poverty and cap carbon emissions? S. Glomsrød et al. 10.1016/j.scitotenv.2016.06.005
49. Decadal variation of East Asian radiative forcing due to anthropogenic aerosols during 1850–2100, and the role of atmospheric moisture J. Li et al. 10.3354/cr01236
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52. Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover Y. Chen et al. 10.1038/s41561-022-00991-6
53. Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model J. Zhao et al. 10.5194/acp-24-9101-2024
54. Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. 10.5194/acp-17-13165-2017
55. Cloud drop number concentrations over the western North Atlantic Ocean: seasonal cycle, aerosol interrelationships, and other influential factors H. Dadashazar et al. 10.5194/acp-21-10499-2021
56. In-plume and out-of-plume analysis of aerosol–cloud interactions derived from the 2014–2015 Holuhraun volcanic eruption A. Peace et al. 10.5194/acp-24-9533-2024
57. On the relationship between responses in cloud water and precipitation to changes in aerosol Z. Lebo & G. Feingold 10.5194/acp-14-11817-2014
58. Contrasting Influences of Recent Aerosol Changes on Clouds and Precipitation in Europe and East Asia C. Stjern & J. Kristjánsson 10.1175/JCLI-D-14-00837.1
59. Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
60. Identifying Particle Growth Processes in Marine Low Clouds Using Spatial Variances of Imager‐Derived Cloud Parameters T. Nagao & K. Suzuki 10.1029/2020GL087121
61. Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations M. Haghighatnasab et al. 10.5194/acp-22-8457-2022
62. Comments on “Why Hasn’t Earth Warmed as Much as Expected?” R. Knutti & G. Plattner 10.1175/2011JCLI4038.1
63. Estimate of the impact of absorbing aerosol over cloud on the MODIS retrievals of cloud optical thickness and effective radius using two independent retrievals of liquid water path E. Wilcox et al. 10.1029/2008JD010589
64. A review of aerosol optical properties and radiative effects Y. Liu et al. 10.1007/s13351-014-4045-z
65. Strong aerosol–cloud interaction in altocumulus during updraft periods: lidar observations over central Europe J. Schmidt et al. 10.5194/acp-15-10687-2015
66. On the additivity of climate response to anthropogenic aerosols and CO2, and the enhancement of future global warming by carbonaceous aerosols A. KIRKEVÅG et al. 10.1111/j.1600-0870.2008.00308.x
67. Spatial Heterogeneity of Aerosol Effect on Liquid Cloud Microphysical Properties in the Warm Season Over Tibetan Plateau P. Zhao et al. 10.1029/2022JD037738
68. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. 10.1029/2019MS001816
69. Positive relationship between liquid cloud droplet effective radius and aerosol optical depth over Eastern China from satellite data J. Tang et al. 10.1016/j.atmosenv.2013.08.024
70. A search for large-scale effects of ship emissions on clouds and radiation in satellite data K. Peters et al. 10.1029/2011JD016531
71. Short-lived climate forcers from current shipping and petroleum activities in the Arctic K. Ødemark et al. 10.5194/acp-12-1979-2012
72. Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. 10.5194/amt-14-5107-2021
73. Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China X. Xu et al. 10.1016/j.atmosres.2021.106012
74. Implementation of aerosol–cloud interactions in the regional atmosphere–aerosol model COSMO-MUSCAT(5.0) and evaluation using satellite data S. Dipu et al. 10.5194/gmd-10-2231-2017
75. Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions R. Cherian & J. Quaas 10.1029/2020GL087132
76. Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 1. Theoretical analysis and examples from MODIS S. Platnick & L. Oreopoulos 10.1029/2007JD009654
77. Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach K. Wolf et al. 10.5194/amt-12-1635-2019
78. Weak average liquid-cloud-water response to anthropogenic aerosols V. Toll et al. 10.1038/s41586-019-1423-9
79. High Sensitivity of Arctic Liquid Clouds to Long‐Range Anthropogenic Aerosol Transport Q. Coopman et al. 10.1002/2017GL075795
80. Analysis of polarimetric satellite measurements suggests stronger cooling due to aerosol-cloud interactions O. Hasekamp et al. 10.1038/s41467-019-13372-2
81. Which of satellite- or model-based estimates is closer to reality for aerosol indirect forcing? J. Quaas et al. 10.1073/pnas.1114634108
82. How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning L. Zipfel et al. 10.3390/atmos15050596
83. Invisible ship tracks show large cloud sensitivity to aerosol P. Manshausen et al. 10.1038/s41586-022-05122-0
84. Quantification of DMS aerosol-cloud-climate interactions using the ECHAM5-HAMMOZ model in a current climate scenario M. Thomas et al. 10.5194/acp-10-7425-2010
85. Sensitivity of aerosol radiative forcing to various aerosol parameters over the Bay of Bengal K. Eswaran et al. 10.1007/s12040-019-1200-z
86. Impact of Saharan dust on North Atlantic marine stratocumulus clouds: importance of the semidirect effect A. Amiri-Farahani et al. 10.5194/acp-17-6305-2017
87. Observing the timescales of aerosol–cloud interactions in snapshot satellite images E. Gryspeerdt et al. 10.5194/acp-21-6093-2021
88. Global climate response to anthropogenic aerosol indirect effects: Present day and year 2100 W. Chen et al. 10.1029/2008JD011619
89. Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. 10.5194/acp-20-5657-2020
90. Satellite methods underestimate indirect climate forcing by aerosols J. Penner et al. 10.1073/pnas.1018526108
91. Reassessment of satellite‐based estimate of aerosol climate forcing X. Ma et al. 10.1002/2014JD021670
92. The Temperature Control of Cloud Adiabatic Fraction and Coverage X. Lu et al. 10.1029/2023GL105831
93. Projecting Stratocumulus Transitions on the Albedo—Cloud Fraction Relationship Reveals Linearity of Albedo to Droplet Concentrations T. Goren et al. 10.1029/2022GL101169
94. Radiative Forcing of Climate: The Historical Evolution of the Radiative Forcing Concept, the Forcing Agents and their Quantification, and Applications V. Ramaswamy et al. 10.1175/AMSMONOGRAPHS-D-19-0001.1
95. Interpretation of Aerosol Effects on Precipitation Susceptibility in Warm Clouds Inferred from Satellite Measurements and Model Evaluation over Northeast Asia S. Park & C. Kim 10.1175/JAS-D-20-0293.1
96. Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
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98. Exploiting the weekly cycle as observed over Europe to analyse aerosol indirect effects in two climate models J. Quaas et al. 10.5194/acp-9-8493-2009
99. Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations R. Bennartz & J. Rausch 10.5194/acp-17-9815-2017
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103. Total aerosol effect: radiative forcing or radiative flux perturbation? U. Lohmann et al. 10.5194/acp-10-3235-2010
104. A new CCN activation parameterization and its potential influences on aerosol indirect effects Y. Wang et al. 10.1016/j.atmosres.2021.105491
105. Robust Susceptibility of Cloud Cover and Radiative Effects to Biases in Retrieved Droplet Concentrations Y. Wang et al. 10.1029/2023JD039145
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108. Improved simulation of Australian climate and ENSO‐related rainfall variability in a global climate model with an interactive aerosol treatment L. Rotstayn et al. 10.1002/joc.1952
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125. Why are climate models reproducing the observed global surface warming so well? R. Knutti 10.1029/2008GL034932
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129. First forcing estimates from the future CMIP6 scenarios of anthropogenic aerosol optical properties and an associated Twomey effect S. Fiedler et al. 10.5194/gmd-12-989-2019
130. Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. 10.3390/atmos13040586
131. Human Impact on Direct and Diffuse Solar Radiation during the Industrial Era M. Kvalevåg & G. Myhre 10.1175/JCLI4277.1
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138. Parameterizing cloud top effective radii from satellite retrieved values, accounting for vertical photon transport: quantification and correction of the resulting bias in droplet concentration and liquid water path retrievals D. Grosvenor et al. 10.5194/amt-11-4273-2018
139. Climate forcings and climate sensitivities diagnosed from atmospheric global circulation models B. Anderson et al. 10.1007/s00382-010-0798-y
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147. The Impact of Ship Emission Controls Recorded by Cloud Properties E. Gryspeerdt et al. 10.1029/2019GL084700
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