215 citations as recorded by crossref.

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16. New trajectory-driven aerosol and chemical process model Chemical and Aerosol Lagrangian Model (CALM) P. Tunved et al. 10.5194/acp-10-10161-2010
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24. Aerosol size distribution modeling with the Community Multiscale Air Quality modeling system in the Pacific Northwest: 2. Parameterizations for ternary nucleation and nucleation mode processes R. Elleman & D. Covert 10.1029/2009JD012187
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26. Intercomparison of modal and sectional aerosol microphysics representations within the same 3-D global chemical transport model G. Mann et al. 10.5194/acp-12-4449-2012
27. Air pollution control and decreasing new particle formation lead to strong climate warming R. Makkonen et al. 10.5194/acp-12-1515-2012
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29. Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments J. He & Y. Zhang 10.5194/acp-14-9171-2014
30. Chemistry of new particle growth during springtime in the Seoul metropolitan area, Korea H. Kim & Q. Zhang 10.1016/j.chemosphere.2019.03.072
31. The Mechanism and Kinetics Model of Degradation of Dicarboxylic Acids by Hydroxyl Radicals under Atmospheric Conditions Y. Yu et al. 10.1021/acs.jpca.2c00282
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41. A new chemistry option in WRF-Chem v. 3.4 for the simulation of direct and indirect aerosol effects using VBS: evaluation against IMPACT-EUCAARI data P. Tuccella et al. 10.5194/gmd-8-2749-2015
42. Aerosol characteristics and particle production in the upper troposphere over the Amazon Basin M. Andreae et al. 10.5194/acp-18-921-2018
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49. Global–regional nested simulation of particle number concentration by combing microphysical processes with an evolving organic aerosol module X. Chen et al. 10.5194/acp-21-9343-2021
50. 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. 10.5194/acp-12-8663-2012
51. Observations of turbulence-induced new particle formation in the residual layer B. Wehner et al. 10.5194/acp-10-4319-2010
52. Constraining nucleation, condensation, and chemistry in oxidation flow reactors using size-distribution measurements and aerosol microphysical modeling A. Hodshire et al. 10.5194/acp-18-12433-2018
53. Effects of black carbon aging on air quality predictions and direct radiative forcing estimation S. Park et al. 10.1111/j.1600-0889.2011.00558.x
54. Quantification of an atmospheric nucleation and growth process as a single source of aerosol particles in a city I. Salma et al. 10.5194/acp-17-15007-2017
55. Growth rates of fine aerosol particles at a site near Beijing in June 2013 C. Zhao et al. 10.1007/s00376-017-7069-3
56. Potential of needle trap microextraction–portable gas chromatography–mass spectrometry for measurement of atmospheric volatile compounds L. Barreira et al. 10.5194/amt-9-3661-2016
57. Cold oceans enhance terrestrial new-particle formation in near-coastal forests T. Suni et al. 10.5194/acp-9-8639-2009
58. Acid–base chemical reaction model for nucleation rates in the polluted atmospheric boundary layer M. Chen et al. 10.1073/pnas.1210285109
59. Understanding global secondary organic aerosol amount and size-resolved condensational behavior S. D'Andrea et al. 10.5194/acp-13-11519-2013
60. Natural new particle formation at the coastal Antarctic site Neumayer R. Weller et al. 10.5194/acp-15-11399-2015
61. Dust deposition from air with anomalous characteristics R. Lobo 10.1007/s12210-017-0633-z
62. Evaluation of Nucleation Theories in a Sulfur-Rich Environment J. Jung et al. 10.1080/02786820802187085
63. Development of a Regional Chemical Transport Model with Size-Resolved Aerosol Microphysics and Its Application on Aerosol Number Concentration Simulation over China X. Chen et al. 10.2151/sola.2014-017
64. Realistic Forests and the Modeling of Forest‐Atmosphere Exchange E. Bannister et al. 10.1029/2021RG000746
65. Boreal forests, aerosols and the impacts on clouds and climate D. Spracklen et al. 10.1098/rsta.2008.0201
66. Volatile properties of atmospheric aerosols during nucleation events at Pune, India P. MURUGAVEL & D. CHATE 10.1007/s12040-011-0072-7
67. Biotic stress accelerates formation of climate-relevant aerosols in boreal forests J. Joutsensaari et al. 10.5194/acp-15-12139-2015
68. Laboratory study of H2SO4/H2O nucleation using a new technique – a laminar co-flow tube T. Trávníčková et al. 10.1080/16000889.2018.1446643
69. Technical note: Effects of uncertainties and number of data points on line fitting – a case study on new particle formation S. Mikkonen et al. 10.5194/acp-19-12531-2019
70. High frequency new particle formation in the Himalayas H. Venzac et al. 10.1073/pnas.0801355105
71. An investigation of nucleation events in a coastal urban environment in the Southern Hemisphere J. Mejía & L. Morawska 10.5194/acp-9-7877-2009
72. Uncertainty in global CCN concentrations from uncertain aerosol nucleation and primary emission rates J. Pierce & P. Adams 10.5194/acp-9-1339-2009
73. Evaluation of aerosol number concentrations in NorESM with improved nucleation parameterization R. Makkonen et al. 10.5194/acp-14-5127-2014
74. New particle formation infrequently observed in Himalayan foothills – why? K. Neitola et al. 10.5194/acp-11-8447-2011
75. Analysis of atmospheric neutral and charged molecular clusters in boreal forest using pulse-height CPC K. Lehtipalo et al. 10.5194/acp-9-4177-2009
76. Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters L. Lee et al. 10.5194/acp-11-12253-2011
77. Bringing Reactivity to the Aggregation-Volume-Bias Monte Carlo Based Simulation Framework: Water Nucleation Induced by a Reactive Proton R. Kumar et al. 10.1021/jp508749x
78. Particle Formation in a Complex Environment D. Dominick et al. 10.3390/atmos10050275
79. Sensitivity of aerosol concentrations and cloud properties to nucleation and secondary organic distribution in ECHAM5-HAM global circulation model R. Makkonen et al. 10.5194/acp-9-1747-2009
80. Communication: Tolman length and rigidity constants of water and their role in nucleation Ø. Wilhelmsen et al. 10.1063/1.4919689
81. Biogenic Potassium Salt Particles as Seeds for Secondary Organic Aerosol in the Amazon C. Pöhlker et al. 10.1126/science.1223264
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83. Sources and properties of Amazonian aerosol particles S. Martin et al. 10.1029/2008RG000280
84. Regional effect on urban atmospheric nucleation I. Salma et al. 10.5194/acp-16-8715-2016
85. Global atmospheric particle formation from CERN CLOUD measurements E. Dunne et al. 10.1126/science.aaf2649
86. Chemistry of new particle growth in mixed urban and biogenic emissions – insights from CARES A. Setyan et al. 10.5194/acp-14-6477-2014
87. Ion-mediated nucleation as an important global source of tropospheric aerosols F. Yu et al. 10.5194/acp-8-2537-2008
88. Measurement of the nucleation of atmospheric aerosol particles M. Kulmala et al. 10.1038/nprot.2012.091
89. Enhancing effect of dimethylamine in sulfuric acid nucleation in the presence of water – a computational study V. Loukonen et al. 10.5194/acp-10-4961-2010
90. Homogeneous nucleation of sulfuric acid and water mixture: experimental setup and first results D. Brus et al. 10.5194/acp-10-2631-2010
91. In situ aerosol measurements taken during the 2007 COPS field campaign at the Hornisgrinde ground site H. Jones et al. 10.1002/qj.727
92. Towards understanding the characteristics of new particle formation in the Eastern Mediterranean R. Baalbaki et al. 10.5194/acp-21-9223-2021
93. Nucleation rates of water using Adjusted SAFT-0 EOS F. Hrahsheh 10.1016/j.fluid.2019.112272
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95. Development of an aerosol microphysical module: Aerosol Two-dimensional bin module for foRmation and Aging Simulation (ATRAS) H. Matsui et al. 10.5194/acp-14-10315-2014
96. Explaining global surface aerosol number concentrations in terms of primary emissions and particle formation D. Spracklen et al. 10.5194/acp-10-4775-2010
97. Impact of new particle formation on the concentrations of aerosols and cloud condensation nuclei around Beijing H. Matsui et al. 10.1029/2011JD016025
98. Impacts of near-future cultivation of biofuel feedstocks on atmospheric composition and local air quality K. Ashworth et al. 10.5194/acp-12-919-2012
99. Evaluation of aerosol mixing state classes in the GISS modelE-MATRIX climate model using single-particle mass spectrometry measurements S. Bauer et al. 10.1002/jgrd.50700
100. Modeling of Atmospheric Aerosol Properties in the São Paulo Metropolitan Area: Impact of Biomass Burning A. Vara-Vela et al. 10.1029/2018JD028768
101. Formation and characteristics of ions and charged aerosol particles in a native Australian Eucalypt forest T. Suni et al. 10.5194/acp-8-129-2008
102. Connections between atmospheric sulphuric acid and new particle formation during QUEST III–IV campaigns in Heidelberg and Hyytiälä I. Riipinen et al. 10.5194/acp-7-1899-2007
103. Nanoparticles in boreal forest and coastal environment: a comparison of observations and implications of the nucleation mechanism K. Lehtipalo et al. 10.5194/acp-10-7009-2010
104. Analysis of nucleation events in the European boundary layer using the regional aerosol–climate model REMO-HAM with a solar radiation-driven OH-proxy J. Pietikäinen et al. 10.5194/acp-14-11711-2014
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109. Semi-empirical parameterization of size-dependent atmospheric nanoparticle growth in continental environments S. Häkkinen et al. 10.5194/acp-13-7665-2013
110. Modeling ultrafine particle growth at a pine forest site influenced by anthropogenic pollution during BEACHON-RoMBAS 2011 Y. Cui et al. 10.5194/acp-14-11011-2014
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120. Evidence for Diverse Biogeochemical Drivers of Boreal Forest New Particle Formation M. Lawler et al. 10.1002/2017GL076394
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128. Impact of neutral and acidic species on cycloalkenes nucleation X. Sheng et al. 10.1007/s11224-019-01298-w
129. Implementation of state-of-the-art ternary new-particle formation scheme to the regional chemical transport model PMCAMx-UF in Europe E. Baranizadeh et al. 10.5194/gmd-9-2741-2016
130. Comparison of atmospheric new particle formation events in three Central European cities Z. Németh et al. 10.1016/j.atmosenv.2018.01.035
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132. Iodine observed in new particle formation events in the Arctic atmosphere during ACCACIA J. Allan et al. 10.5194/acp-15-5599-2015
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134. Abiotic and biotic sources influencing spring new particle formation in North East Greenland M. Dall´Osto et al. 10.1016/j.atmosenv.2018.07.019
135. Aerosol indirect forcing in a global model with particle nucleation M. Wang & J. Penner 10.5194/acp-9-239-2009
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137. General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) – integrating aerosol research from nano to global scales M. Kulmala et al. 10.5194/acp-11-13061-2011
138. In situ observation of new particle formation (NPF) in the tropical tropopause layer of the 2017 Asian monsoon anticyclone – Part 2: NPF inside ice clouds R. Weigel et al. 10.5194/acp-21-13455-2021
139. Satellite-derived estimates of ultrafine particle concentrations over eastern North America P. Crippa et al. 10.1002/jgrd.50707
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146. The mass and number size distributions of black carbon aerosol over Europe C. Reddington et al. 10.5194/acp-13-4917-2013
147. Impact of sub-grid particle formation in sulfur-rich plumes on particle mass and number concentrations over China Y. Wei et al. 10.1016/j.atmosenv.2021.118711
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153. Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing M. Yoshioka et al. 10.1029/2019MS001628
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155. Direct Observations of Atmospheric Aerosol Nucleation M. Kulmala et al. 10.1126/science.1227385
156. The impact of residential combustion emissions on atmospheric aerosol, human health, and climate E. Butt et al. 10.5194/acp-16-873-2016
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162. Decennial time trends and diurnal patterns of particle number concentrations in a central European city between 2008 and 2018 S. Mikkonen et al. 10.5194/acp-20-12247-2020
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166. Robust metric for quantifying the importance of stochastic effects on nanoparticle growth T. Olenius et al. 10.1038/s41598-018-32610-z
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169. Evidence of an elevated source of nucleation based on model simulations and data from the NIFTy experiment P. Crippa et al. 10.5194/acp-12-8021-2012
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