171 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. https://doi.org/10.1029/2022EA002706
3. Implications of differences between recent anthropogenic aerosol emission inventories for diagnosed AOD and radiative forcing from 1990 to 2019 M. Lund et al. https://doi.org/10.5194/acp-23-6647-2023
4. Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning Y. Jia et al. https://doi.org/10.5194/acp-24-13025-2024
5. Investigating the development of clouds within marine cold-air outbreaks R. Murray-Watson et al. https://doi.org/10.5194/acp-23-9365-2023
6. Approaches to Observe Anthropogenic Aerosol-Cloud Interactions J. Quaas https://doi.org/10.1007/s40641-015-0028-0
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8. DMS role in ENSO cycle in the tropics L. Xu et al. https://doi.org/10.1002/2016JD025333
9. Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF M. Wang et al. https://doi.org/10.5194/acp-11-5431-2011
10. Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. https://doi.org/10.5194/acp-18-14327-2018
11. Data Assimilation for Climate Research: Model Parameter Estimation of Large‐Scale Condensation Scheme S. Kotsuki et al. https://doi.org/10.1029/2019JD031304
12. Aerosol effects on clouds are concealed by natural cloud heterogeneity and satellite retrieval errors A. Arola et al. https://doi.org/10.1038/s41467-022-34948-5
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16. Sea-spray geoengineering in the HadGEM2-ES earth-system model: radiative impact and climate response A. Jones & J. Haywood https://doi.org/10.5194/acp-12-10887-2012
17. Evaluating simulations of ship tracks in a km-scale model A. Tippett et al. https://doi.org/10.5194/acp-26-4251-2026
18. Impacts of the Icelandic Holuhraun volcanic eruption on cloud properties using regional model cloud-aerosol simulations M. Yoshioka et al. https://doi.org/10.5194/acp-26-4341-2026
19. The relationship between aerosol and cloud drop number concentrations in a global aerosol microphysics model K. Pringle et al. https://doi.org/10.5194/acp-9-4131-2009
20. The scale problem in quantifying aerosol indirect effects A. McComiskey & G. Feingold https://doi.org/10.5194/acp-12-1031-2012
21. Application of online-coupled WRF/Chem-MADRID in East Asia: Model evaluation and climatic effects of anthropogenic aerosols X. Liu et al. https://doi.org/10.1016/j.atmosenv.2015.03.052
22. Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus H. Jia et al. https://doi.org/10.1029/2019GL085081
23. Estimates of aerosol radiative forcing from the MACC re-analysis N. Bellouin et al. https://doi.org/10.5194/acp-13-2045-2013
24. Shipping regulations lead to large reduction in cloud perturbations D. Watson-Parris et al. https://doi.org/10.1073/pnas.2206885119
25. Anthropogenic aerosol forcing under the Shared Socioeconomic Pathways M. Lund et al. https://doi.org/10.5194/acp-19-13827-2019
26. Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions E. Gryspeerdt et al. https://doi.org/10.5194/acp-23-4115-2023
27. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
28. On the sensitivity of anthropogenic aerosol forcing to model‐internal variability and parameterizing a Twomey effect S. Fiedler et al. https://doi.org/10.1002/2017MS000932
29. Reducing CO2 from shipping – do non-CO2 effects matter? M. Eide et al. https://doi.org/10.5194/acp-13-4183-2013
30. How well are aerosol–cloud interactions represented in climate models? – Part 2: Isolating the aerosol impact on clouds following the 2014–2015 Holuhraun eruption G. Jordan et al. https://doi.org/10.5194/acp-25-13393-2025
31. Sensitivity to deliberate sea salt seeding of marine clouds – observations and model simulations K. Alterskjær et al. https://doi.org/10.5194/acp-12-2795-2012
32. A new statistical approach to improve the satellite-based estimation of the radiative forcing by aerosol–cloud interactions P. Patel et al. https://doi.org/10.5194/acp-17-3687-2017
33. Substantial cooling effect from aerosol-induced increase in tropical marine cloud cover Y. Chen et al. https://doi.org/10.1038/s41561-024-01427-z
34. Assessment of aerosol-cloud interactions over the Northern Indian Ocean H. Kumar & S. Tiwari https://doi.org/10.1016/j.atmosres.2024.107601
35. Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. https://doi.org/10.16993/tellusb.27
36. Cirrus clouds in a global climate model with a statistical cirrus cloud scheme M. Wang & J. Penner https://doi.org/10.5194/acp-10-5449-2010
37. Weak liquid water path response in ship tracks A. Tippett et al. https://doi.org/10.5194/acp-24-13269-2024
38. Aerosol Effects on Clouds and Climate U. Lohmann https://doi.org/10.1007/s11214-006-9051-8
39. Aerosol optical depth increase in partly cloudy conditions D. Chand et al. https://doi.org/10.1029/2012JD017894
40. Impact of Inclusion of the Indirect Effects of Sulfate Aerosol on Radiation and Cloudiness in the INMCM Model A. Poliukhov et al. https://doi.org/10.1134/S0001433822050097
41. Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites H. Bai et al. https://doi.org/10.5194/acp-18-1763-2018
42. Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. https://doi.org/10.5194/acp-19-5331-2019
43. Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. https://doi.org/10.5194/acp-22-7353-2022
44. An uncertain future for the climate and health impacts of anthropogenic aerosols in Africa J. Amooli et al. https://doi.org/10.5194/acp-25-11611-2025
45. Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data J. Quaas et al. https://doi.org/10.5194/acp-9-8697-2009
46. 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
47. Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path H. Kokkola et al. https://doi.org/10.5194/acp-25-1533-2025
48. Regional-scale relationships between aerosol and summer monsoon circulation, and precipitation over northeast Asia S. Yoon et al. https://doi.org/10.1007/s13143-010-1002-3
49. Testing for the Possible Influence of Unknown Climate Forcings upon Global Temperature Increases from 1950 to 2000 B. Anderson et al. https://doi.org/10.1175/JCLI-D-11-00645.1
50. A global process-based study of marine CCN trends and variability E. Dunne et al. https://doi.org/10.5194/acp-14-13631-2014
51. A New Method for Distinguishing Unactivated Particles in Cloud Condensation Nuclei Measurements: Implications for Aerosol Indirect Effect Evaluation Y. Wang et al. https://doi.org/10.1029/2019GL085379
52. An Observational Study on Cloud Spectral Width in North China Y. Wang et al. https://doi.org/10.3390/atmos10030109
53. 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 https://doi.org/10.5194/amt-13-1089-2020
54. A warmer policy for a colder climate: Can China both reduce poverty and cap carbon emissions? S. Glomsrød et al. https://doi.org/10.1016/j.scitotenv.2016.06.005
55. Machine Learning-Based Retrieval of Cloud Droplet Number Concentration and Liquid Water Path From Satellite Spectral Data J. Gonzalez et al. https://doi.org/10.1109/JSTARS.2025.3601981
56. Inferring processes governing cloud transition during mid-latitude marine cold-air outbreaks from satellite J. Zhang et al. https://doi.org/10.5194/acp-26-6015-2026
57. Decadal variation of East Asian radiative forcing due to anthropogenic aerosols during 1850–2100, and the role of atmospheric moisture J. Li et al. https://doi.org/10.3354/cr01236
58. On the build-up of dust aerosols and possible indirect effect during Indian summer monsoon break spells using recent satellite observations of aerosols and cloud properties V. Arya et al. https://doi.org/10.1007/s12040-020-01526-6
59. Multiangle photopolarimetric aerosol retrievals in the vicinity of clouds: Synthetic study based on a large eddy simulation F. Stap et al. https://doi.org/10.1002/2016JD024787
60. Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover Y. Chen et al. https://doi.org/10.1038/s41561-022-00991-6
61. 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. https://doi.org/10.5194/acp-24-9101-2024
62. 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. https://doi.org/10.5194/acp-17-13165-2017
63. Cloud drop number concentrations over the western North Atlantic Ocean: seasonal cycle, aerosol interrelationships, and other influential factors H. Dadashazar et al. https://doi.org/10.5194/acp-21-10499-2021
64. In-plume and out-of-plume analysis of aerosol–cloud interactions derived from the 2014–2015 Holuhraun volcanic eruption A. Peace et al. https://doi.org/10.5194/acp-24-9533-2024
65. On the relationship between responses in cloud water and precipitation to changes in aerosol Z. Lebo & G. Feingold https://doi.org/10.5194/acp-14-11817-2014
66. Contrasting Influences of Recent Aerosol Changes on Clouds and Precipitation in Europe and East Asia C. Stjern & J. Kristjánsson https://doi.org/10.1175/JCLI-D-14-00837.1
67. Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. https://doi.org/10.1029/2017RG000593
68. Identifying Particle Growth Processes in Marine Low Clouds Using Spatial Variances of Imager‐Derived Cloud Parameters T. Nagao & K. Suzuki https://doi.org/10.1029/2020GL087121
69. Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations M. Haghighatnasab et al. https://doi.org/10.5194/acp-22-8457-2022
70. Comments on “Why Hasn’t Earth Warmed as Much as Expected?” R. Knutti & G. Plattner https://doi.org/10.1175/2011JCLI4038.1
71. 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. https://doi.org/10.1029/2008JD010589
72. A review of aerosol optical properties and radiative effects Y. Liu et al. https://doi.org/10.1007/s13351-014-4045-z
73. Strong aerosol–cloud interaction in altocumulus during updraft periods: lidar observations over central Europe J. Schmidt et al. https://doi.org/10.5194/acp-15-10687-2015
74. 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. https://doi.org/10.1111/j.1600-0870.2007.00308.x
75. Spatial Heterogeneity of Aerosol Effect on Liquid Cloud Microphysical Properties in the Warm Season Over Tibetan Plateau P. Zhao et al. https://doi.org/10.1029/2022JD037738
76. Present‐Day and Historical Aerosol and Ozone Characteristics in CNRM CMIP6 Simulations M. Michou et al. https://doi.org/10.1029/2019MS001816
77. Development of the global chemistry-climate coupled model BCC-GEOS-Chem v2.0: improved atmospheric chemistry performance and new capability of chemistry-climate interactions R. Sun et al. https://doi.org/10.5194/gmd-19-2111-2026
78. Positive relationship between liquid cloud droplet effective radius and aerosol optical depth over Eastern China from satellite data J. Tang et al. https://doi.org/10.1016/j.atmosenv.2013.08.024
79. A search for large-scale effects of ship emissions on clouds and radiation in satellite data K. Peters et al. https://doi.org/10.1029/2011JD016531
80. Short-lived climate forcers from current shipping and petroleum activities in the Arctic K. Ødemark et al. https://doi.org/10.5194/acp-12-1979-2012
81. 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. https://doi.org/10.5194/amt-14-5107-2021
82. Uncertainty estimation of aerosol properties from a Vaisala CT25k ceilometer based on in situ aerosol measurements M. Müller et al. https://doi.org/10.5194/amt-19-3031-2026
83. Spatial-scale dependence of aerosol indirect effects over land in eastern China: a comparative analysis Y. Liu et al. https://doi.org/10.5194/acp-26-6351-2026
84. Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China X. Xu et al. https://doi.org/10.1016/j.atmosres.2021.106012
85. Implementation of aerosol–cloud interactions in the regional atmosphere–aerosol model COSMO-MUSCAT(5.0) and evaluation using satellite data S. Dipu et al. https://doi.org/10.5194/gmd-10-2231-2017
86. 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 https://doi.org/10.1029/2020GL087132
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89. Improvement of airborne retrievals of cloud droplet number concentration of trade wind cumulus using a synergetic approach K. Wolf et al. https://doi.org/10.5194/amt-12-1635-2019
90. Weak average liquid-cloud-water response to anthropogenic aerosols V. Toll et al. https://doi.org/10.1038/s41586-019-1423-9
91. High Sensitivity of Arctic Liquid Clouds to Long‐Range Anthropogenic Aerosol Transport Q. Coopman et al. https://doi.org/10.1002/2017GL075795
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95. Invisible ship tracks show large cloud sensitivity to aerosol P. Manshausen et al. https://doi.org/10.1038/s41586-022-05122-0
96. Quantification of DMS aerosol-cloud-climate interactions using the ECHAM5-HAMMOZ model in a current climate scenario M. Thomas et al. https://doi.org/10.5194/acp-10-7425-2010
97. Sensitivity of aerosol radiative forcing to various aerosol parameters over the Bay of Bengal K. Eswaran et al. https://doi.org/10.1007/s12040-019-1200-z
98. Impact of Saharan dust on North Atlantic marine stratocumulus clouds: importance of the semidirect effect A. Amiri-Farahani et al. https://doi.org/10.5194/acp-17-6305-2017
99. Observing the timescales of aerosol–cloud interactions in snapshot satellite images E. Gryspeerdt et al. https://doi.org/10.5194/acp-21-6093-2021
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101. Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. https://doi.org/10.5194/acp-20-5657-2020
102. Observing the role of wind-driven processes in the evolution of warm marine cloud properties V. Nair et al. https://doi.org/10.5194/acp-26-4049-2026
103. Satellite methods underestimate indirect climate forcing by aerosols J. Penner et al. https://doi.org/10.1073/pnas.1018526108
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106. The Temperature Control of Cloud Adiabatic Fraction and Coverage X. Lu et al. https://doi.org/10.1029/2023GL105831
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112. The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6 T. Wu et al. https://doi.org/10.5194/gmd-12-1573-2019
113. How meteorological conditions influence aerosol-cloud interactions under different pollution regimes J. Zhao et al. https://doi.org/10.5194/acp-25-17701-2025
114. Exploiting the weekly cycle as observed over Europe to analyse aerosol indirect effects in two climate models J. Quaas et al. https://doi.org/10.5194/acp-9-8493-2009
115. Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations R. Bennartz & J. Rausch https://doi.org/10.5194/acp-17-9815-2017
116. Aerosol processes perturb cloud trends over Bay of Bengal: observational evidence S. Kant et al. https://doi.org/10.1038/s41612-023-00443-x
117. Stability-dependent increases in liquid water with droplet number in the Arctic R. Murray-Watson & E. Gryspeerdt https://doi.org/10.5194/acp-22-5743-2022
118. The sub-adiabatic model as a concept for evaluating the representation and radiative effects of low-level clouds in a high-resolution atmospheric model V. Barlakas et al. https://doi.org/10.5194/acp-20-303-2020
119. Total aerosol effect: radiative forcing or radiative flux perturbation? U. Lohmann et al. https://doi.org/10.5194/acp-10-3235-2010
120. A new CCN activation parameterization and its potential influences on aerosol indirect effects Y. Wang et al. https://doi.org/10.1016/j.atmosres.2021.105491
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130. The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data E. Gryspeerdt et al. https://doi.org/10.5194/amt-15-3875-2022
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139. Strong aerosol indirect radiative effect from dynamic-driven diurnal variations of cloud water adjustments J. Li et al. https://doi.org/10.5194/acp-25-17455-2025
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142. Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. https://doi.org/10.5194/acp-20-613-2020
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144. Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. https://doi.org/10.1038/s41467-021-23888-1
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146. Environmental impacts of shipping in 2030 with a particular focus on the Arctic region S. Dalsøren et al. https://doi.org/10.5194/acp-13-1941-2013
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150. Aerosol indirect forcing in a global model with particle nucleation M. Wang & J. Penner https://doi.org/10.5194/acp-9-239-2009
151. Global observations of cloud‐sensitive aerosol loadings in low‐level marine clouds H. Andersen et al. https://doi.org/10.1002/2016JD025614
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157. 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. https://doi.org/10.5194/amt-11-4273-2018
158. Climate forcings and climate sensitivities diagnosed from atmospheric global circulation models B. Anderson et al. https://doi.org/10.1007/s00382-010-0798-y
159. Extensive reduction of surface UV radiation since 1750 in world's populated regions M. Kvalevåg et al. https://doi.org/10.5194/acp-9-7737-2009
160. Anthropogenic radiative forcing time series from pre-industrial times until 2010 R. Skeie et al. https://doi.org/10.5194/acp-11-11827-2011
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