167 citations as recorded by crossref.

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35. Spatio-Temporal Distributions of the Natural Non-Sea-Salt Aerosol Over the Southern Ocean and Coastal Antarctica and Its Potential Source Regions J. Heintzenberg et al. https://doi.org/10.16993/tellusb.1869
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41. The direct and indirect radiative effects of biogenic secondary organic aerosol C. Scott et al. https://doi.org/10.5194/acp-14-447-2014
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43. Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters L. Lee et al. https://doi.org/10.5194/acp-11-12253-2011
44. A global model study of processes controlling aerosol size distributions in the Arctic spring and summer H. Korhonen et al. https://doi.org/10.1029/2007JD009114
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46. Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model G. Mann et al. https://doi.org/10.5194/acp-12-4449-2012
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50. Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades L. Regayre et al. https://doi.org/10.1002/2014GL062029
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52. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. https://doi.org/10.5194/acp-15-8217-2015
53. The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei L. Lee et al. https://doi.org/10.5194/acp-13-8879-2013
54. The contribution of boundary layer nucleation events to total particle concentrations on regional and global scales D. Spracklen et al. https://doi.org/10.5194/acp-6-5631-2006
55. The effect of physical and chemical aerosol properties on warm cloud droplet activation G. McFiggans et al. https://doi.org/10.5194/acp-6-2593-2006
56. The mass and number size distributions of black carbon aerosol over Europe C. Reddington et al. https://doi.org/10.5194/acp-13-4917-2013
57. The impact of residential combustion emissions on atmospheric aerosol, human health, and climate E. Butt et al. https://doi.org/10.5194/acp-16-873-2016
58. Impact of sub-grid particle formation in sulfur-rich plumes on particle mass and number concentrations over China Y. Wei et al. https://doi.org/10.1016/j.atmosenv.2021.118711
59. Globally significant oceanic source of organic carbon aerosol D. Spracklen et al. https://doi.org/10.1029/2008GL033359
60. The complex response of Arctic aerosol to sea-ice retreat J. Browse et al. https://doi.org/10.5194/acp-14-7543-2014
61. Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing M. Yoshioka et al. https://doi.org/10.1029/2019MS001628
62. 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
63. Simulation of particle size distribution with a global aerosol model: contribution of nucleation to aerosol and CCN number concentrations F. Yu & G. Luo https://doi.org/10.5194/acp-9-7691-2009
64. Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model G. Mann et al. https://doi.org/10.5194/gmd-3-519-2010
65. Aerosol microphysics simulations of the Mt.~Pinatubo eruption with the UM-UKCA composition-climate model S. Dhomse et al. https://doi.org/10.5194/acp-14-11221-2014
66. Impact of BrO on dimethylsulfide in the remote marine boundary layer T. Breider et al. https://doi.org/10.1029/2009GL040868
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68. Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF L. Regayre et al. https://doi.org/10.5194/acp-18-9975-2018
69. Long-term satellite trends of European lower-tropospheric ozone from 1996–2017 M. Pimlott et al. https://doi.org/10.5194/acp-25-15991-2025
70. On the microphysical processing of aged combustion aerosols impacting warm rain microphysics over Asian megacities S. Gumber et al. https://doi.org/10.1007/s00704-019-03042-0
71. Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. https://doi.org/10.5194/acp-22-9265-2022
72. The scavenging processes controlling the seasonal cycle in Arctic sulphate and black carbon aerosol J. Browse et al. https://doi.org/10.5194/acp-12-6775-2012
73. An AeroCom assessment of black carbon in Arctic snow and sea ice C. Jiao et al. https://doi.org/10.5194/acp-14-2399-2014
74. Impact of nucleation on global CCN J. Merikanto et al. https://doi.org/10.5194/acp-9-8601-2009
75. MATCH-SALSA – Multi-scale Atmospheric Transport and CHemistry model coupled to the SALSA aerosol microphysics model – Part 1: Model description and evaluation C. Andersson et al. https://doi.org/10.5194/gmd-8-171-2015
76. Semi-empirical parameterization of size-dependent atmospheric nanoparticle growth in continental environments S. Häkkinen et al. https://doi.org/10.5194/acp-13-7665-2013
77. Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity G. Mann et al. https://doi.org/10.5194/acp-14-4679-2014
78. The global middle-atmosphere aerosol model MAECHAM5-SAM2: comparison with satellite and in-situ observations R. Hommel et al. https://doi.org/10.5194/gmd-4-809-2011
79. The importance of feldspar for ice nucleation by mineral dust in mixed-phase clouds J. Atkinson et al. https://doi.org/10.1038/nature12278
80. Low sensitivity of cloud condensation nuclei to changes in the sea-air flux of dimethyl-sulphide M. Woodhouse et al. https://doi.org/10.5194/acp-10-7545-2010
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83. Simulating ultrafine particle formation in Europe using a regional CTM: contribution of primary emissions versus secondary formation to aerosol number concentrations C. Fountoukis et al. https://doi.org/10.5194/acp-12-8663-2012
84. Sensitivity of cloud condensation nuclei to regional changes in dimethyl-sulphide emissions M. Woodhouse et al. https://doi.org/10.5194/acp-13-2723-2013
85. Size-Resolved Aerosol Microphysics in a Global Nonhydrostatic Atmospheric Model: Model Description and Validation C. CHENG & K. SUZUKI https://doi.org/10.2151/jmsj.2021-031
86. Consistent simulation of bromine chemistry from the marine boundary layer to the stratosphere – Part 1: Model description, sea salt aerosols and pH A. Kerkweg et al. https://doi.org/10.5194/acp-8-5899-2008
87. Modeled methanesulfonic acid (MSA) deposition in Antarctica and its relationship to sea ice P. Hezel et al. https://doi.org/10.1029/2011JD016383
88. Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al. https://doi.org/10.5194/acp-21-9343-2021
89. Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform A. Mahura et al. https://doi.org/10.1080/20964471.2024.2325019
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91. Studying the Seeds for Clouds at the CERN Research Labs H. Gordon https://doi.org/10.3389/frym.2017.00043
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93. Contribution of primary carbonaceous aerosol to cloud condensation nuclei: processes and uncertainties evaluated with a global aerosol microphysics model J. Pierce et al. https://doi.org/10.5194/acp-7-5447-2007
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95. Evidence of an elevated source of nucleation based on model simulations and data from the NIFTy experiment P. Crippa et al. https://doi.org/10.5194/acp-12-8021-2012
96. Evaluation of the sectional aerosol microphysics module SALSA implementation in ECHAM5-HAM aerosol-climate model T. Bergman et al. https://doi.org/10.5194/gmd-5-845-2012
97. Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing K. Fung et al. https://doi.org/10.5194/acp-22-1549-2022
98. Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization Y. Wei et al. https://doi.org/10.5194/gmd-14-4411-2021
99. 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
100. Increasing influence of Canadian anthropogenic and the Great Lakes Region shipment SO2 emission on ultrafine particle number concentrations in New York State G. Luo et al. https://doi.org/10.1088/2515-7620/ac82a9
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102. Technical Note: A new SIze REsolved Aerosol Model (SIREAM) E. Debry et al. https://doi.org/10.5194/acp-7-1537-2007
103. A parameterization of sub-grid particle formation in sulfur-rich plumes for global- and regional-scale models R. Stevens & J. Pierce https://doi.org/10.5194/acp-13-12117-2013
104. Impacts of aviation fuel sulfur content on climate and human health Z. Kapadia et al. https://doi.org/10.5194/acp-16-10521-2016
105. Air Pollution From Forest and Vegetation Fires in Southeast Asia Disproportionately Impacts the Poor C. Reddington et al. https://doi.org/10.1029/2021GH000418
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108. Size-resolved simulations of the aerosol inorganic composition with the new hybrid dissolution solver HyDiS-1.0: description, evaluation and first global modelling results F. Benduhn et al. https://doi.org/10.5194/gmd-9-3875-2016
109. A method for estimating the ratio of aerosol mass concentration to the imaginary part of the atmospheric complex refractive index and its application R. Yuan et al. https://doi.org/10.1016/j.atmosres.2021.105848
110. Biotic stress accelerates formation of climate-relevant aerosols in boreal forests J. Joutsensaari et al. https://doi.org/10.5194/acp-15-12139-2015
111. Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model N. Bellouin et al. https://doi.org/10.5194/acp-13-3027-2013
112. Aerosol dynamics and dispersion of radioactive particles P. von Schoenberg et al. https://doi.org/10.5194/acp-21-5173-2021
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114. Enhanced Role of Transition Metal Ion Catalysis During In-Cloud Oxidation of SO 2 E. Harris et al. https://doi.org/10.1126/science.1230911
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118. Isolation of Ambient Particles of Known Critical Supersaturation: The Differential Activation Separator (DAS) R. Osborn et al. https://doi.org/10.1080/02786820802339512
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123. Representation of nucleation mode microphysics in a global aerosol model with sectional microphysics Y. Lee et al. https://doi.org/10.5194/gmd-6-1221-2013
124. Particle Size as a Key Driver of Black Carbon Wet Removal: Advances and Insights Y. Qiao et al. https://doi.org/10.3390/atmos16111309
125. The scientific basis for a satellite mission to retrieve CCN concentrations and their impacts on convective clouds D. Rosenfeld et al. https://doi.org/10.5194/amt-5-2039-2012
126. Uncertainties of Simulated Aerosol Direct Radiative Effect Induced by Aerosol Chemical Components: A Measurement‐Based Perspective From Urban‐Forest Transition Region in East China Y. Ma et al. https://doi.org/10.1029/2020JD033688
127. An experimental and modelling analysis of cloud droplet growth from vehicular emissions with non‐ideal microphysics over an Asian mega‐city S. Gumber & S. Ghosh https://doi.org/10.1002/asl.1081
128. Effects of boundary layer particle formation on cloud droplet number and changes in cloud albedo from 1850 to 2000 J. Merikanto et al. https://doi.org/10.5194/acp-10-695-2010
129. Evaluation of aerosol number concentrations in NorESM with improved nucleation parameterization R. Makkonen et al. https://doi.org/10.5194/acp-14-5127-2014
130. Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. https://doi.org/10.5194/gmd-13-6383-2020
131. Tropospheric aerosol size distributions simulated by three online global aerosol models using the M7 microphysics module K. Zhang et al. https://doi.org/10.5194/acp-10-6409-2010
132. Enhancement of marine cloud albedo via controlled sea spray injections: a global model study of the influence of emission rates, microphysics and transport H. Korhonen et al. https://doi.org/10.5194/acp-10-4133-2010
133. Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model A. Jones et al. https://doi.org/10.5194/acp-22-11381-2022
134. Sensitivity of global cloud condensation nuclei concentrations to primary sulfate emission parameterizations G. Luo & F. Yu https://doi.org/10.5194/acp-11-1949-2011
135. Minor effect of physical size sorting on iron solubility of transported mineral dust Z. Shi et al. https://doi.org/10.5194/acp-11-8459-2011
136. A review of aerosol optical properties and radiative effects Y. Liu et al. https://doi.org/10.1007/s13351-014-4045-z
137. Sources and properties of Amazonian aerosol particles S. Martin et al. https://doi.org/10.1029/2008RG000280
138. A multi-model assessment of the impact of sea spray geoengineering on cloud droplet number K. Pringle et al. https://doi.org/10.5194/acp-12-11647-2012
139. Oxidation Products of Biogenic Emissions Contribute to Nucleation of Atmospheric Particles F. Riccobono et al. https://doi.org/10.1126/science.1243527
140. The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations K. Zhang et al. https://doi.org/10.5194/acp-12-8911-2012
141. Modeling particle nucleation and growth over northern California during the 2010 CARES campaign A. Lupascu et al. https://doi.org/10.5194/acp-15-12283-2015
142. Implementing a sectional scheme for early aerosol growth from new particle formation in the Norwegian Earth System Model v2: comparison to observations and climate impacts S. Blichner et al. https://doi.org/10.5194/gmd-14-3335-2021
143. Sensitivity of tropospheric chemical composition to halogen-radical chemistry using a fully coupled size-resolved multiphase chemistry–global climate system: halogen distributions, aerosol composition, and sensitivity of climate-relevant gases M. Long et al. https://doi.org/10.5194/acp-14-3397-2014
144. The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing S. Turnock et al. https://doi.org/10.1029/2019GL082067
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154. The Effect of Using a New Parameterization of Nucleation in the WRF-Chem Model on New Particle Formation in a Passive Volcanic Plume S. Arghavani et al. https://doi.org/10.3390/atmos13010015
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156. Impact of new particle formation on the concentrations of aerosols and cloud condensation nuclei around Beijing H. Matsui et al. https://doi.org/10.1029/2011JD016025
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158. Contribution of expanded marine sulfur chemistry to the seasonal variability of dimethyl sulfide oxidation products and size-resolved sulfate aerosol L. Tashmim et al. https://doi.org/10.5194/acp-24-3379-2024
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