692 citations as recorded by crossref.

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40. Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6 M. Michou et al. https://doi.org/10.5194/gmd-8-501-2015
41. A new approach to modeling aerosol effects on East Asian climate: Parametric uncertainties associated with emissions, cloud microphysics, and their interactions H. Yan et al. https://doi.org/10.1002/2015JD023442
42. Simulating the influence of Madden Julian oscillation on the MAMJ intra-seasonal variations over West Africa M. Adeniyi & Z. Lin https://doi.org/10.1007/s00703-021-00849-3
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46. Aerosol radiative forcings induced by substantial changes in anthropogenic emissions in China from 2008 to 2016 M. Liu & H. Matsui https://doi.org/10.5194/acp-21-5965-2021
47. Higher water loss on Earth-like exoplanets in eccentric orbits B. Liu et al. https://doi.org/10.1093/mnras/stad1828
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49. Aerosol transport pathways and source attribution in China during the COVID-19 outbreak L. Ren et al. https://doi.org/10.5194/acp-21-15431-2021
50. A sensitivity study of radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol parameters in the community atmosphere model CAM5 C. Zhao et al. https://doi.org/10.5194/acp-13-10969-2013
51. Significant improvement of cloud representation in the global climate model MRI-ESM2 H. Kawai et al. https://doi.org/10.5194/gmd-12-2875-2019
52. Seasonally Modulated Stratospheric Aerosol Geoengineering Alters the Climate Outcomes D. Visioni et al. https://doi.org/10.1029/2020GL088337
53. Modeling the 1783–1784 Laki Eruption in Iceland: 2. Climate Impacts B. Zambri et al. https://doi.org/10.1029/2018JD029554
54. Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble M. Clyne et al. https://doi.org/10.5194/acp-21-3317-2021
55. Fungal spores as a source of sodium salt particles in the Amazon basin S. China et al. https://doi.org/10.1038/s41467-018-07066-4
56. Modelling study on the source contribution to aerosol over the Tibetan Plateau M. Zhao et al. https://doi.org/10.1002/joc.7017
57. Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
58. Lognormal mode dissociation method based on intrinsic characteristics of aerosol size distribution S. Chen et al. https://doi.org/10.1364/OE.531268
59. Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. https://doi.org/10.5194/acp-18-7669-2018
60. Quantifying aerosol mixing state with entropy and diversity measures N. Riemer & M. West https://doi.org/10.5194/acp-13-11423-2013
61. Impact of future climate policy scenarios on air quality and aerosol-cloud interactions using an advanced version of CESM/CAM5: Part I. model evaluation for the current decadal simulations T. Glotfelty et al. https://doi.org/10.1016/j.atmosenv.2016.12.035
62. Observational constraint of in-cloud supersaturation for simulations of aerosol rainout in atmospheric models N. Moteki et al. https://doi.org/10.1038/s41612-019-0063-y
63. First Simulations of Designing Stratospheric Sulfate Aerosol Geoengineering to Meet Multiple Simultaneous Climate Objectives B. Kravitz et al. https://doi.org/10.1002/2017JD026874
64. Global variability in atmospheric new particle formation mechanisms B. Zhao et al. https://doi.org/10.1038/s41586-024-07547-1
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66. Effects of brown coatings on the absorption enhancement of black carbon: a numerical investigation J. Luo et al. https://doi.org/10.5194/acp-18-16897-2018
67. 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
68. High Potential of Asian Dust to Act as Ice Nucleating Particles in Mixed‐Phase Clouds Simulated With a Global Aerosol‐Climate Model K. Kawai et al. https://doi.org/10.1029/2020JD034263
69. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. https://doi.org/10.5194/acp-19-14585-2019
70. Economic Shock in a Climate Scenario and Its Impact on Surface Temperatures Q. Ran et al. https://doi.org/10.1029/2021EF002061
71. Cloud Phase Simulation at High Latitudes in EAMv2: Evaluation Using CALIPSO Observations and Comparison With EAMv1 M. Zhang et al. https://doi.org/10.1029/2022JD037100
72. Sensitivity of aerosol optical properties to the aerosol size distribution over central Europe and the Mediterranean Basin using the WRF-Chem v.3.9.1.1 coupled model L. Palacios-Peña et al. https://doi.org/10.5194/gmd-13-5897-2020
73. Particle Size as a Key Driver of Black Carbon Wet Removal: Advances and Insights Y. Qiao et al. https://doi.org/10.3390/atmos16111309
74. Impacts of Saharan Dust on Atlantic Regional Climate and Implications for Tropical Cyclones B. Pan et al. https://doi.org/10.1175/JCLI-D-16-0776.1
75. Primary and secondary ice production: interactions and their relative importance X. Zhao & X. Liu https://doi.org/10.5194/acp-22-2585-2022
76. On the Correspondence between Short- and Long-Time-Scale Systematic Errors in CAM4/CAM5 for the Year of Tropical Convection S. Xie et al. https://doi.org/10.1175/JCLI-D-12-00134.1
77. Numerical study of the effect of anthropogenic aerosols on spring persistent rain over Eastern China J. Deng et al. https://doi.org/10.1007/s13351-014-3198-0
78. Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM) C. Parworth et al. https://doi.org/10.1016/j.atmosenv.2015.01.060
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80. Climate Change Projections in CESM1(CAM5) Compared to CCSM4 G. Meehl et al. https://doi.org/10.1175/JCLI-D-12-00572.1
81. Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization S. Xie et al. https://doi.org/10.1175/JCLI-D-12-00517.1
82. Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis V. Buchard et al. https://doi.org/10.5194/acp-15-5743-2015
83. Diagnostic evaluation of the Community Earth System Model in simulating mineral dust emission with insight into large-scale dust storm mobilization in the Middle East and North Africa (MENA) S. Parajuli et al. https://doi.org/10.1016/j.aeolia.2016.02.002
84. Enhanced atmospheric pollution due to the Uttarakhand fire event of April 2016 and its radiative impact D. Lawand et al. https://doi.org/10.1007/s11869-022-01234-8
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86. Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects S. Lou et al. https://doi.org/10.5194/acp-25-8163-2025
87. Impact of moisture divergence on systematic errors in precipitation around the Tibetan Plateau in a general circulation model Y. Zhang & J. Li https://doi.org/10.1007/s00382-016-3005-y
88. Radiative effects of interannually varying vs. interannually invariant aerosol emissions from fires B. Grandey et al. https://doi.org/10.5194/acp-16-14495-2016
89. What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II Z. Kipling et al. https://doi.org/10.5194/acp-16-2221-2016
90. Source Apportionments of Aerosols and Their Direct Radiative Forcing and Long‐Term Trends Over Continental United States Y. Yang et al. https://doi.org/10.1029/2018EF000859
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93. A multiscale modeling framework model (superparameterized CAM5) with a higher‐order turbulence closure: Model description and low‐cloud simulations M. Wang et al. https://doi.org/10.1002/2014MS000375
94. Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States V. Buchard et al. https://doi.org/10.1016/j.atmosenv.2015.11.004
95. Evaluating the Bias of South China Sea Summer Monsoon Precipitation Associated with Fast Physical Processes Using a Climate Model Hindcast Approach W. Chen et al. https://doi.org/10.1175/JCLI-D-18-0660.1
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97. NeuralMie (v1.0): an aerosol optics emulator A. Geiss & P. Ma https://doi.org/10.5194/gmd-18-1809-2025
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103. Modeling the Air Pollution and Aerosol‐PBL Interactions Over China Using a Variable‐Resolution Global Model M. Yue et al. https://doi.org/10.1029/2023JD039130
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105. Ambient aerosol properties in the remote atmosphere from global-scale in situ measurements C. Brock et al. https://doi.org/10.5194/acp-21-15023-2021
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110. A numerical study of the effect of different aerosol types on East Asian summer clouds and precipitation Y. Jiang et al. https://doi.org/10.1016/j.atmosenv.2012.12.039
111. A global model–measurement evaluation of particle light scattering coefficients at elevated relative humidity M. Burgos et al. https://doi.org/10.5194/acp-20-10231-2020
112. Atmospheric rivers impacting western North America in a world with climate intervention C. Shields et al. https://doi.org/10.1038/s41612-022-00260-8
113. Dependence of CCN closure relationship with organic fraction from two airborne field campaigns over mid-latitude land and ocean G. Ai et al. https://doi.org/10.5194/acp-26-7967-2026
114. Larger Cloud Liquid Water Enhances Both Aerosol Indirect Forcing and Cloud Radiative Feedback in Two Earth System Models X. Zhao et al. https://doi.org/10.1029/2023GL105529
115. Data-driven emulation of modal aerosol microphysics via neural operator-based modeling Z. Bai & D. Rouson https://doi.org/10.1038/s41598-025-33209-x
116. Black carbon vertical profiles strongly affect its radiative forcing uncertainty B. Samset et al. https://doi.org/10.5194/acp-13-2423-2013
117. 100 Years of Earth System Model Development D. Randall et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0018.1
118. Does Marine Surface Tension Have Global Biogeography? Addition for the OCEANFILMS Package S. Elliott et al. https://doi.org/10.3390/atmos9060216
119. Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. https://doi.org/10.1029/2018JD029204
120. Modeling the 1783–1784 Laki Eruption in Iceland: 1. Aerosol Evolution and Global Stratospheric Circulation Impacts B. Zambri et al. https://doi.org/10.1029/2018JD029553
121. An improved dust emission model – Part 2: Evaluation in the Community Earth System Model, with implications for the use of dust source functions J. Kok et al. https://doi.org/10.5194/acp-14-13043-2014
122. Sulfate Aerosol in the Arctic: Source Attribution and Radiative Forcing Y. Yang et al. https://doi.org/10.1002/2017JD027298
123. Droplet activation parameterization: the population-splitting concept revisited R. Morales Betancourt & A. Nenes https://doi.org/10.5194/gmd-7-2345-2014
124. Significant Effective Radiative Forcing of Stratospheric Wildfire Smoke C. Liu et al. https://doi.org/10.1029/2022GL100175
125. Scenario dependence of future changes in climate extremes under 1.5 °C and 2 °C global warming Z. Wang et al. https://doi.org/10.1038/srep46432
126. Global modeling studies of composition and decadal trends of the Asian Tropopause Aerosol Layer A. Bossolasco et al. https://doi.org/10.5194/acp-21-2745-2021
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131. Global long-range transport and lung cancer risk from polycyclic aromatic hydrocarbons shielded by coatings of organic aerosol M. Shrivastava et al. https://doi.org/10.1073/pnas.1618475114
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133. Observational constraints on mixed-phase clouds imply higher climate sensitivity I. Tan et al. https://doi.org/10.1126/science.aad5300
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138. Detection of limit cycle signatures of El Niño in models and observations using reservoir computing F. Guardamagna et al. https://doi.org/10.1088/2632-072X/ad2699
139. Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model R. Schwantes et al. https://doi.org/10.1029/2021MS002889
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141. A new simplified parameterization of secondary organic aerosol in the Community Earth System Model Version 2 (CESM2; CAM6.3) D. Jo et al. https://doi.org/10.5194/gmd-16-3893-2023
142. Consistent response of Indian summer monsoon to Middle East dust in observations and simulations Q. Jin et al. https://doi.org/10.5194/acp-15-9897-2015
143. The role of carbonaceous aerosols on short‐term variations of precipitation over North Africa J. Yoon et al. https://doi.org/10.1002/asl.672
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148. Development of a triple-moment ice-phase cloud microphysics scheme and its application to the Single Column Atmosphere Model X. He et al. https://doi.org/10.1360/TB-2022-0697
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152. What controls the low ice number concentration in the upper troposphere? C. Zhou et al. https://doi.org/10.5194/acp-16-12411-2016
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154. A new and inexpensive non-bit-for-bit solution reproducibility test based on time step convergence (TSC1.0) H. Wan et al. https://doi.org/10.5194/gmd-10-537-2017
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188. Initial atmospheric conditions control transport of volcanic volatiles, forcing and impacts Z. Zhuo et al. https://doi.org/10.5194/acp-24-6233-2024
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575. Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions From Different Source Regions B. Grandey & C. Wang https://doi.org/10.1029/2018JD029644
576. Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model R. Morales Betancourt & A. Nenes https://doi.org/10.5194/acp-14-4809-2014
577. Using ARM Observations to Evaluate Climate Model Simulations of Land‐Atmosphere Coupling on the U.S. Southern Great Plains T. Phillips et al. https://doi.org/10.1002/2017JD027141
578. The influence of different parameterizations on diurnal cycle of land precipitation in CAS-ESM X. Kong et al. https://doi.org/10.1016/j.atmosres.2022.106511
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580. Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles Y. Liu et al. https://doi.org/10.5194/acp-18-31-2018
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585. Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO2 in CESM2 W. Ge et al. https://doi.org/10.5194/acp-21-16093-2021
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588. Enhanced radiative cooling by large aerosol particles from wildfire-driven thunderstorms Y. Li et al. https://doi.org/10.1126/sciadv.adw6526
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598. Impacts of Suppressing Excessive Light Rain on Aerosol Radiative Effects and Health Risks Y. Wang et al. https://doi.org/10.1029/2021JD036204
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