250 citations as recorded by crossref.

1. Modelling hydrologic impacts of light absorbing aerosol deposition on snow at the catchment scale F. Matt et al. https://doi.org/10.5194/hess-22-179-2018
2. Climate and health implications of future aerosol emission scenarios A. Partanen et al. https://doi.org/10.1088/1748-9326/aaa511
3. EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. https://doi.org/10.5194/gmd-14-5637-2021
4. Limited impact of sulfate-driven chemistry on black carbon aerosol aging in power plant plumes M. Z. Markovic et al. https://doi.org/10.3934/environsci.2018.3.195
5. CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM) H. Wan et al. https://doi.org/10.5194/gmd-15-3205-2022
6. Global radiative forcing assessment of brown carbon versus black carbon: Source-specific constraints from compiled observations S. Liu et al. https://doi.org/10.1016/j.atmosenv.2026.122010
7. Black carbon vertical profiles strongly affect its radiative forcing uncertainty B. Samset et al. https://doi.org/10.5194/acp-13-2423-2013
8. Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. https://doi.org/10.5194/acp-19-2965-2019
9. Significance of Absorbing Fraction of Coating on Absorption Enhancement of Partially Coated Black Carbon Aerosols X. Zhang et al. https://doi.org/10.3390/atmos12111422
10. Wildfires in a warmer climate: Emission fluxes, emission heights, and black carbon concentrations in 2090–2099 A. Veira et al. https://doi.org/10.1002/2015JD024142
11. Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation A. Veira et al. https://doi.org/10.5194/acp-15-7173-2015
12. Modelling mineral dust in the Central Asian region B. Heinold et al. https://doi.org/10.1051/e3sconf/20199902012
13. Does optically effective complex refractive index of internal-mixed aerosols have a physically-based meaning? X. Zhang et al. https://doi.org/10.1364/OE.27.0A1216
14. Amplified drying in South Asian summer monsoon precipitation due to anthropogenic sulfate aerosols S. Fadnavis et al. https://doi.org/10.1016/j.envpol.2023.123175
15. A parameterization for the light scattering enhancement factor with aerosol chemical compositions Y. Yu et al. https://doi.org/10.1016/j.atmosenv.2018.08.016
16. Process evaluation suggests models misrepresent the precipitation-driven replenishment of cloud condensation nuclei S. Blichner et al. https://doi.org/10.5194/acp-26-11281-2026
17. The importance of temporal collocation for the evaluation of aerosol models with observations N. Schutgens et al. https://doi.org/10.5194/acp-16-1065-2016
18. Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA T. Mielonen et al. https://doi.org/10.3390/atmos9050180
19. NHM-Chem, the Japan Meteorological Agency's Regional Meteorology – Chemistry Model: Model Evaluations toward the Consistent Predictions of the Chemical, Physical, and Optical Properties of Aerosols M. KAJINO et al. https://doi.org/10.2151/jmsj.2019-020
20. Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon Z. Kipling et al. https://doi.org/10.5194/acp-13-5969-2013
21. Black carbon indirect radiative effects in a climate model R. Cherian et al. https://doi.org/10.1080/16000889.2017.1369342
22. Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann https://doi.org/10.1029/2019MS001824
23. The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic J. Schacht et al. https://doi.org/10.5194/acp-19-11159-2019
24. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. https://doi.org/10.5194/acp-21-2637-2021
25. A steady-state analysis of the temperature responses of water vapor and aerosol lifetimes G. Roelofs https://doi.org/10.5194/acp-13-8245-2013
26. Challenges in global climate models to represent cloud response to aerosols: insights from volcanic eruptions Y. Wang et al. https://doi.org/10.1038/s41467-025-67359-3
27. The impact of aerosol emissions on the 1.5 °C pathways A. Hienola et al. https://doi.org/10.1088/1748-9326/aab1b2
28. The impact of recent changes in Asian anthropogenic emissions of SO2 on sulfate loading in the upper troposphere and lower stratosphere and the associated radiative changes S. Fadnavis et al. https://doi.org/10.5194/acp-19-9989-2019
29. Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations J. Mülmenstädt et al. https://doi.org/10.5194/acp-19-15415-2019
30. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. https://doi.org/10.5194/acp-23-9495-2023
31. ICON-HAM-lite 1.0: simulating the Earth system with interactive aerosols at kilometer scales P. Weiss et al. https://doi.org/10.5194/gmd-18-3877-2025
32. Global warming amplified by reduced sulphur fluxes as a result of ocean acidification K. Six et al. https://doi.org/10.1038/nclimate1981
33. Investigation of the effect of the time step on the physics–dynamics interaction in CAM5 using an idealized tropical cyclone experiment X. Li et al. https://doi.org/10.1007/s00382-020-05284-5
34. Evaluation of the aerosol vertical distribution in global aerosol models through comparison against CALIOP measurements: AeroCom phase II results B. Koffi et al. https://doi.org/10.1002/2015JD024639
35. Estimation of aerosol water and chemical composition from AERONET Sun–sky radiometer measurements at Cabauw, the Netherlands A. van Beelen et al. https://doi.org/10.5194/acp-14-5969-2014
36. Potential impact of carbonaceous aerosol on the upper troposphere and lower stratosphere (UTLS) and precipitation during Asian summer monsoon in a global model simulation S. Fadnavis et al. https://doi.org/10.5194/acp-17-11637-2017
37. Tracing devastating fires in Portugal to a snow archive in the Swiss Alps: a case study D. Osmont et al. https://doi.org/10.5194/tc-14-3731-2020
38. How Well Can We Represent the Spectrum of Convective Clouds in a Climate Model? Comparisons between Internal Parameterization Variables and Radar Observations L. Labbouz et al. https://doi.org/10.1175/JAS-D-17-0191.1
39. The surface tension and cloud condensation nuclei (CCN) activation of sea spray aerosol particles J. Kleinheins et al. https://doi.org/10.5194/acp-25-881-2025
40. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
41. Explicit representation of subgrid variability in cloud microphysics yields weaker aerosol indirect effect in the ECHAM5-HAM2 climate model J. Tonttila et al. https://doi.org/10.5194/acp-15-703-2015
42. Climate Feedback on Aerosol Emission and Atmospheric Concentrations I. Tegen & K. Schepanski https://doi.org/10.1007/s40641-018-0086-1
43. Assessing California Wintertime Precipitation Responses to Various Climate Drivers R. Allen et al. https://doi.org/10.1029/2019JD031736
44. Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave L. Palacios-Peña et al. https://doi.org/10.5194/acp-20-9679-2020
45. Impact of numerical choices on water conservation in the E3SM Atmosphere Model version 1 (EAMv1) K. Zhang et al. https://doi.org/10.5194/gmd-11-1971-2018
46. The Importance of the Representation of DMS Oxidation in Global Chemistry‐Climate Simulations E. Hoffmann et al. https://doi.org/10.1029/2021GL094068
47. Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model T. Hassan et al. https://doi.org/10.5194/gmd-17-3507-2024
48. Global relevance of marine organic aerosol as ice nucleating particles W. Huang et al. https://doi.org/10.5194/acp-18-11423-2018
49. Global response of parameterised convective cloud fields to anthropogenic aerosol forcing Z. Kipling et al. https://doi.org/10.5194/acp-20-4445-2020
50. The AeroCom evaluation and intercomparison of organic aerosol in global models K. Tsigaridis et al. https://doi.org/10.5194/acp-14-10845-2014
51. Optically effective complex refractive index of coated black carbon aerosols: from numerical aspects X. Zhang et al. https://doi.org/10.5194/acp-19-7507-2019
52. The Global Atmosphere‐aerosol Model ICON‐A‐HAM2.3–Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness M. Salzmann et al. https://doi.org/10.1029/2021MS002699
53. Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. https://doi.org/10.5194/essd-16-443-2024
54. Current State of Atmospheric Aerosol Thermodynamics and Mass Transfer Modeling: A Review K. Semeniuk & A. Dastoor https://doi.org/10.3390/atmos11020156
55. Climate Change and Bioaerosols: Impacts on Airborne Microbial Distribution and Public Health K. Sharmi et al. https://doi.org/10.3390/aerobiology4030016
56. Implementing microscopic charcoal particles into a global aerosol–climate model A. Gilgen et al. https://doi.org/10.5194/acp-18-11813-2018
57. Fire emission heights in the climate system – Part 1: Global plume height patterns simulated by ECHAM6-HAM2 A. Veira et al. https://doi.org/10.5194/acp-15-7155-2015
58. 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
59. Black carbon aerosols over source vs. background region: Atmospheric boundary layer influence, potential source regions, and model comparison S. Ramachandran et al. https://doi.org/10.1016/j.atmosres.2021.105573
60. Optimization of the sulfate aerosol hygroscopicity parameter in WRF-Chem A. Kim et al. https://doi.org/10.5194/gmd-14-259-2021
61. Assessing predicted cirrus ice properties between two deterministic ice formation parameterizations C. Tully et al. https://doi.org/10.5194/gmd-16-2957-2023
62. Enhanced Chlorine and Bromine Atom Activation by Hydrolysis of Halogen Nitrates from Marine Aerosols at Polluted Coastal Areas E. Hoffmann et al. https://doi.org/10.1021/acs.est.8b05165
63. pH dependence of brown-carbon optical properties in cloud water C. Hennigan et al. https://doi.org/10.5194/acp-23-14437-2023
64. Numerical investigation on retrieval errors of mixing states of fractal black carbon aerosols using single-particle soot photometer based on Mie scattering and the effects on radiative forcing estimation J. Liu et al. https://doi.org/10.5194/amt-16-4961-2023
65. A Multimodel Study on Warm Precipitation Biases in Global Models Compared to Satellite Observations X. Jing et al. https://doi.org/10.1002/2017JD027310
66. Large-Scale Modeling of Absorbing Aerosols and Their Semi-Direct Effects I. Tegen & B. Heinold https://doi.org/10.3390/atmos9100380
67. Urban aerosol size distributions: a global perspective T. Wu & B. Boor https://doi.org/10.5194/acp-21-8883-2021
68. Investigating relationships between aerosol optical depth and cloud fraction using satellite, aerosol reanalysis and general circulation model data B. Grandey et al. https://doi.org/10.5194/acp-13-3177-2013
69. Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry B. van Diedenhoven et al. https://doi.org/10.5194/amt-15-7411-2022
70. Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements K. Chan et al. https://doi.org/10.5194/gmd-11-3807-2018
71. Sensitivity of aerosol radiative effects to different mixing assumptions in the AEROPT 1.0 submodel of the EMAC atmospheric-chemistry–climate model K. Klingmüller et al. https://doi.org/10.5194/gmd-7-2503-2014
72. Implementation of the MEGAN (v2.1) biogenic emission model in the ECHAM6-HAMMOZ chemistry climate model A. Henrot et al. https://doi.org/10.5194/gmd-10-903-2017
73. Long-term profiling of mineral dust and pollution aerosol with multiwavelength polarization Raman lidar at the Central Asian site of Dushanbe, Tajikistan: case studies J. Hofer et al. https://doi.org/10.5194/acp-17-14559-2017
74. From nuclear power to coal power: Aerosol‐induced health and radiative effects T. Mielonen et al. https://doi.org/10.1002/2015JD024183
75. On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models S. Zhang et al. https://doi.org/10.5194/acp-16-2765-2016
76. Hygroscopic properties of fresh and aged wood burning particles M. Martin et al. https://doi.org/10.1016/j.jaerosci.2012.08.006
77. Effect of anthropogenic aerosol emissions on precipitation in warm conveyor belts in the western North Pacific in winter – a model study with ECHAM6-HAM H. Joos et al. https://doi.org/10.5194/acp-17-6243-2017
78. Direct radiative effect due to brownness in organic carbon aerosols generated from biomass combustion T. Rathod et al. https://doi.org/10.1016/j.jqsrt.2016.09.001
79. Estimating bacteria emissions from inversion of atmospheric transport: sensitivity to modelled particle characteristics S. Burrows et al. https://doi.org/10.5194/acp-13-5473-2013
80. Assessment of CNRM coupled ocean-atmosphere model sensitivity to the representation of aerosols L. Watson et al. https://doi.org/10.1007/s00382-017-4054-6
81. Aerosol distribution over Brazil with ECHAM-HAM and CAM5-MAM3 simulations and its comparison with ground-based and satellite data D. Alvim et al. https://doi.org/10.1016/j.apr.2017.01.008
82. H2SO4–H2O binary and H2SO4–H2O–NH3 ternary homogeneous and ion-mediated nucleation: lookup tables version 1.0 for 3-D modeling application F. Yu et al. https://doi.org/10.5194/gmd-13-2663-2020
83. The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation I. Tegen et al. https://doi.org/10.5194/gmd-12-1643-2019
84. Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5 K. Zhang et al. https://doi.org/10.5194/gmd-9-607-2016
85. Evaluation of the simulated aerosol optical properties over India: COALESCE model inter-comparison of three GCMs with ground and satellite observations T. Sarkar et al. https://doi.org/10.1016/j.scitotenv.2022.158442
86. The single scattering albedo Angstrom exponent of black carbon with brown coatings X. Zhang et al. https://doi.org/10.1016/j.jqsrt.2020.107429
87. A comparison of two chemistry and aerosol schemes on the regional scale and the resulting impact on radiative properties and liquid- and ice-phase aerosol–cloud interactions F. Glassmeier et al. https://doi.org/10.5194/acp-17-8651-2017
88. Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission N. Hannadige et al. https://doi.org/10.1016/j.jqsrt.2026.109853
89. Climate and air quality trade-offs in altering ship fuel sulfur content A. Partanen et al. https://doi.org/10.5194/acp-13-12059-2013
90. Global fully coupled climate-aerosol CMA-CPSv4 – Part 1: Aerosol simulation performance M. Zheng et al. https://doi.org/10.5194/gmd-19-7279-2026
91. New Parameterizations for Neutral and Ion‐Induced Sulfuric Acid‐Water Particle Formation in Nucleation and Kinetic Regimes A. Määttänen et al. https://doi.org/10.1002/2017JD027429
92. Sensitivity of Homogeneous Ice Nucleation to Aerosol Perturbations and Its Implications for Aerosol Indirect Effects Through Cirrus Clouds X. Liu & X. Shi https://doi.org/10.1002/2017GL076721
93. Evaluation of observed and modelled aerosol lifetimes using radioactive tracers of opportunity and an ensemble of 19 global models N. Kristiansen et al. https://doi.org/10.5194/acp-16-3525-2016
94. Impact of dust particle non‐sphericity on climate simulations P. Räisänen et al. https://doi.org/10.1002/qj.2084
95. Evaluation of aerosol number concentrations in NorESM with improved nucleation parameterization R. Makkonen et al. https://doi.org/10.5194/acp-14-5127-2014
96. Climate Impacts of COVID‐19 Induced Emission Changes A. Gettelman et al. https://doi.org/10.1029/2020GL091805
97. Characterization of organic aerosol across the global remote troposphere: a comparison of ATom measurements and global chemistry models A. Hodzic et al. https://doi.org/10.5194/acp-20-4607-2020
98. Spatial heterogeneity of aerosol induced rapid adjustments on precipitation response over India: a general circulation model study with ECHAM6-HAM2 K. Muduchuru & C. Venkataraman https://doi.org/10.1007/s00382-021-05908-4
99. Analysis and evaluation of the global aerosol optical properties simulated by an online aerosol-coupled non-hydrostatic icosahedral atmospheric model T. Dai et al. https://doi.org/10.1007/s00376-014-4098-z
100. 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
101. The absorption Ångstrom exponent of black carbon with brown coatings: effects of aerosol microphysics and parameterization X. Zhang et al. https://doi.org/10.5194/acp-20-9701-2020
102. Seasonal Trends of Aerosol Hygroscopicity and Mixing State in Clean Marine and Polluted Continental Air Masses Over the Northeast Atlantic W. Xu et al. https://doi.org/10.1029/2020JD033851
103. 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. https://doi.org/10.5194/acp-14-11711-2014
104. Short Black Carbon lifetime inferred from a global set of aircraft observations M. Lund et al. https://doi.org/10.1038/s41612-018-0040-x
105. The Molecular Identification of Organic Compounds in the Atmosphere: State of the Art and Challenges B. Nozière et al. https://doi.org/10.1021/cr5003485
106. Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. https://doi.org/10.5194/acp-24-5907-2024
107. Air pollution reductions caused by the COVID-19 lockdown open up a way to preserve the Himalayan glaciers S. Fadnavis et al. https://doi.org/10.5194/acp-23-10439-2023
108. Dust impacts on radiative effects of black carbon aerosol in Central Asia I. Tegen et al. https://doi.org/10.1051/e3sconf/20199904005
109. Atmospheric transport and deposition of cosmogenic 36Cl using ECHAM6.3-HAM2.3 model M. Zheng et al. https://doi.org/10.1016/j.epsl.2025.119494
110. Effects of pre-existing ice crystals on cirrus clouds and comparison between different ice nucleation parameterizations with the Community Atmosphere Model (CAM5) X. Shi et al. https://doi.org/10.5194/acp-15-1503-2015
111. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. https://doi.org/10.5194/acp-19-6821-2019
112. Lensing Effect of Black Carbon With Brown Coatings: Dominant Microphysics and Parameterization X. Zhang et al. https://doi.org/10.1029/2020JD033549
113. Direct and semi-direct effects of aerosol climatologies on long-term climate simulations over Europe M. Schultze & B. Rockel https://doi.org/10.1007/s00382-017-3808-5
114. Abrupt emission reduction during COVID-19 intensified the spring 2020 rainfall over India A. Asutosh et al. https://doi.org/10.3389/fenvs.2022.911363
115. Relative-humidity-dependent organic aerosol thermodynamics via an efficient reduced-complexity model K. Gorkowski et al. https://doi.org/10.5194/acp-19-13383-2019
116. How important are atmospheric depressions and mobile cyclones for emitting mineral dust aerosol in North Africa? S. Fiedler et al. https://doi.org/10.5194/acp-14-8983-2014
117. Aerosol single‐scattering albedo over the global oceans: Comparing PARASOL retrievals with AERONET, OMI, and AeroCom models estimates C. Lacagnina et al. https://doi.org/10.1002/2015JD023501
118. Threefold reduction of modeled uncertainty in direct radiative effects over biomass burning regions by constraining absorbing aerosols Q. Zhong et al. https://doi.org/10.1126/sciadv.adi3568
119. 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
120. New developments in the representation of Saharan dust sources in the aerosol–climate model ECHAM6-HAM2 B. Heinold et al. https://doi.org/10.5194/gmd-9-765-2016
121. Host model uncertainties in aerosol radiative forcing estimates: results from the AeroCom Prescribed intercomparison study P. Stier et al. https://doi.org/10.5194/acp-13-3245-2013
122. Biomass burning aerosols in most climate models are too absorbing H. Brown et al. https://doi.org/10.1038/s41467-020-20482-9
123. Regional aerosol hygroscopicity influences radiative forcing globally S. Deshmukh et al. https://doi.org/10.1038/s43247-026-03505-z
124. Global cycling and climate effects of aeolian dust controlled by biological soil crusts E. Rodriguez-Caballero et al. https://doi.org/10.1038/s41561-022-00942-1
125. Processes limiting the emergence of detectable aerosol indirect effects on tropical warm clouds in global aerosol-climate model and satellite data K. Peters et al. https://doi.org/10.3402/tellusb.v66.24054
126. A Dark Target research aerosol algorithm for MODIS observations over eastern China: increasing coverage while maintaining accuracy at high aerosol loading Y. Shi et al. https://doi.org/10.5194/amt-14-3449-2021
127. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. https://doi.org/10.5194/acp-22-13527-2022
128. ICON coupled to HAM-lite 1.0 in limited-area mode: an efficient framework for targeted kilometer-scale simulations with interactive aerosols B. Heinold et al. https://doi.org/10.5194/gmd-19-6167-2026
129. To what extent can cirrus cloud seeding counteract global warming? B. Gasparini et al. https://doi.org/10.1088/1748-9326/ab71a3
130. Aerosol optical depth disaggregation: toward global aerosol vertical profiles S. Bouabid et al. https://doi.org/10.1017/eds.2024.15
131. Limitations of passive remote sensing to constrain global cloud condensation nuclei P. Stier https://doi.org/10.5194/acp-16-6595-2016
132. 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
133. A Bayesian Framework to Quantify Uncertainty in Aerosol Optical Model Selection Applied to TROPOMI Measurements A. Kauppi et al. https://doi.org/10.3390/rs16111945
134. Why cirrus cloud seeding cannot substantially cool the planet B. Gasparini & U. Lohmann https://doi.org/10.1002/2015JD024666
135. In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. https://doi.org/10.5194/acp-19-11765-2019
136. Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al. https://doi.org/10.5194/essd-17-4351-2025
137. 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
138. 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
139. 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
140. The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. https://doi.org/10.3390/rs12182900
141. Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning? C. Tully et al. https://doi.org/10.5194/acp-23-7673-2023
142. Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi‐Analytical Parameterizations in NCAR CAM5.3 M. Wang et al. https://doi.org/10.1029/2020EA001276
143. On the Limits of CALIOP for Constraining Modeled Free Tropospheric Aerosol D. Watson‐Parris et al. https://doi.org/10.1029/2018GL078195
144. Differing precipitation response between solar radiation management and carbon dioxide removal due to fast and slow components A. Laakso et al. https://doi.org/10.5194/esd-11-415-2020
145. Particulate-phase mercury emissions from biomass burning and impact on resulting deposition: a modelling assessment F. De Simone et al. https://doi.org/10.5194/acp-17-1881-2017
146. Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al. https://doi.org/10.5194/gmd-15-6787-2022
147. Aerosols at the poles: an AeroCom Phase II multi-model evaluation M. Sand et al. https://doi.org/10.5194/acp-17-12197-2017
148. Direct radiative effect of aerosols based on PARASOL and OMI satellite observations C. Lacagnina et al. https://doi.org/10.1002/2016JD025706
149. Radiative and climate effects of stratospheric sulfur geoengineering using seasonally varying injection areas A. Laakso et al. https://doi.org/10.5194/acp-17-6957-2017
150. The roles of volatile organic compound deposition and oxidation mechanisms in determining secondary organic aerosol production: a global perspective using the UKCA chemistry–climate model (vn8.4) J. Kelly et al. https://doi.org/10.5194/gmd-12-2539-2019
151. BVOC-aerosol-climate interactions in the global aerosol-climate model ECHAM5.5-HAM2 R. Makkonen et al. https://doi.org/10.5194/acp-12-10077-2012
152. Mixed‐layer ocean responses to anthropogenic aerosol dimming from 1870 to 2000 T. Dallafior et al. https://doi.org/10.1002/2015JD024070
153. 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
154. Global and regional trends of atmospheric sulfur W. Aas et al. https://doi.org/10.1038/s41598-018-37304-0
155. The impact of COVID-19 lockdown measures on the Indian summer monsoon S. Fadnavis et al. https://doi.org/10.1088/1748-9326/ac109c
156. Uncertainty in aerosol effective radiative forcing from anthropogenic and natural aerosol parameters in ECHAM6.3-HAM2.3 Y. Bhatti et al. https://doi.org/10.5194/acp-26-269-2026
157. Dust ice nuclei effects on cirrus clouds M. Kuebbeler et al. https://doi.org/10.5194/acp-14-3027-2014
158. Production of extremely low volatile organic compounds from biogenic emissions: Measured yields and atmospheric implications T. Jokinen et al. https://doi.org/10.1073/pnas.1423977112
159. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
160. Reallocation in modal aerosol models: impacts on predicting aerosol radiative effects T. Korhola et al. https://doi.org/10.5194/gmd-7-161-2014
161. Ice nucleation by fungal spores from the classes Agaricomycetes, Ustilaginomycetes, and Eurotiomycetes, and the effect on the atmospheric transport of these spores D. Haga et al. https://doi.org/10.5194/acp-14-8611-2014
162. Global modelling of direct and indirect effects of sea spray aerosol using a source function encapsulating wave state A. Partanen et al. https://doi.org/10.5194/acp-14-11731-2014
163. Regional and seasonal radiative forcing by perturbations to aerosol and ozone precursor emissions N. Bellouin et al. https://doi.org/10.5194/acp-16-13885-2016
164. Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms N. Benas et al. https://doi.org/10.5194/acp-20-457-2020
165. Estimating aerosol scattering hygroscopic growth factors at ambient relative humidity based on machine learning C. Xia et al. https://doi.org/10.1016/j.apr.2026.103029
166. Does the POA–SOA split matter for global CCN formation? W. Trivitayanurak & P. Adams https://doi.org/10.5194/acp-14-995-2014
167. Dependency of the impacts of geoengineering on the stratospheric sulfur injection strategy – Part 1: Intercomparison of modal and sectional aerosol modules A. Laakso et al. https://doi.org/10.5194/acp-22-93-2022
168. Cirrus cloud thinning using a more physically based ice microphysics scheme in the ECHAM-HAM general circulation model C. Tully et al. https://doi.org/10.5194/acp-22-11455-2022
169. A simple model for the time evolution of the condensation sink in the atmosphere for intermediate Knudsen numbers E. Ezhova et al. https://doi.org/10.5194/acp-18-2431-2018
170. Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. https://doi.org/10.1109/TGRS.2020.2972339
171. The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity D. Neubauer et al. https://doi.org/10.5194/gmd-12-3609-2019
172. Current model capabilities for simulating black carbon and sulfate concentrations in the Arctic atmosphere: a multi-model evaluation using a comprehensive measurement data set S. Eckhardt et al. https://doi.org/10.5194/acp-15-9413-2015
173. Revising the hygroscopicity of inorganic sea salt particles P. Zieger et al. https://doi.org/10.1038/ncomms15883
174. Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. https://doi.org/10.5194/gmd-12-541-2019
175. Theoretical study of scattering Angstrom exponent of coated black carbon aerosols: The effect of microphysical configurations X. Zhang et al. https://doi.org/10.1016/j.jqsrt.2020.107302
176. Temperature and radiative responses to anthropogenic aerosols over the Mediterranean Basin based on CMIP6 Earth system models A. Kalisoras et al. https://doi.org/10.5194/acp-26-9413-2026
177. Cirrus Cloud Properties as Seen by the CALIPSO Satellite and ECHAM-HAM Global Climate Model B. Gasparini et al. https://doi.org/10.1175/JCLI-D-16-0608.1
178. Features of mid- and high-latitude low-level clouds and their relation to strong aerosol effects in the Energy Exascale Earth System Model version 2 (E3SMv2) H. Wan et al. https://doi.org/10.5194/gmd-18-5655-2025
179. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. https://doi.org/10.1126/sciadv.aaz6433
180. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. https://doi.org/10.5194/acp-22-11009-2022
181. Multi-model evaluation of short-lived pollutant distributions over east Asia during summer 2008 B. Quennehen et al. https://doi.org/10.5194/acp-16-10765-2016
182. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
183. Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables M. Kajino et al. https://doi.org/10.5194/gmd-14-2235-2021
184. Dynamic subgrid heterogeneity of convective cloud in a global model: description and evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6–HAM2 Z. Kipling et al. https://doi.org/10.5194/acp-17-327-2017
185. Reduced efficacy of marine cloud brightening geoengineering due to in-plume aerosol coagulation: parameterization and global implications G. Stuart et al. https://doi.org/10.5194/acp-13-10385-2013
186. Terpene Composition Complexity Controls Secondary Organic Aerosol Yields from Scots Pine Volatile Emissions C. Faiola et al. https://doi.org/10.1038/s41598-018-21045-1
187. FLEXPART v10.1 simulation of source contributions to Arctic black carbon C. Zhu et al. https://doi.org/10.5194/acp-20-1641-2020
188. On the contribution of fast and slow responses to precipitation changes caused by aerosol perturbations S. Zhang et al. https://doi.org/10.5194/acp-21-10179-2021
189. Prognostic parameterization of cloud ice with a single category in the aerosol-climate model ECHAM(v6.3.0)-HAM(v2.3) R. Dietlicher et al. https://doi.org/10.5194/gmd-11-1557-2018
190. The Angstrom exponents of black carbon aerosols with non-absorptive coating: A numerical investigation X. Zhang et al. https://doi.org/10.1016/j.jqsrt.2020.107362
191. Modelled black carbon radiative forcing and atmospheric lifetime in AeroCom Phase II constrained by aircraft observations B. Samset et al. https://doi.org/10.5194/acp-14-12465-2014
192. How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent J. Jin et al. https://doi.org/10.5194/acp-23-1641-2023
193. Ozone impacts of gas–aerosol uptake in global chemistry transport models S. Stadtler et al. https://doi.org/10.5194/acp-18-3147-2018
194. A pathway analysis of global aerosol processes N. Schutgens & P. Stier https://doi.org/10.5194/acp-14-11657-2014
195. Comparison of aerosol optical properties above clouds between POLDER and AeroCom models over the South East Atlantic Ocean during the fire season F. Peers et al. https://doi.org/10.1002/2016GL068222
196. Accuracy Required in Measurements of Refractive Index and Hygroscopic Response to Reduce Uncertainties in Estimates of Aerosol Radiative Forcing Efficiency A. Valenzuela et al. https://doi.org/10.1029/2018JD028365
197. Improving thermodynamic nudging in the E3SM Atmosphere Model version 2 (EAMv2): strategy and hindcast skills on weather systems S. Zhang et al. https://doi.org/10.5194/gmd-19-1937-2026
198. Future vegetation–climate interactions in Eastern Siberia: an assessment of the competing effects of CO2 and secondary organic aerosols A. Arneth et al. https://doi.org/10.5194/acp-16-5243-2016
199. The radiative impact of Nordic anthropogenic black carbon A. Hienola et al. https://doi.org/10.3402/tellusb.v68.27428
200. Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme H. Wan et al. https://doi.org/10.5194/gmd-17-1387-2024
201. The influence of absorbed solar radiation by Saharan dust on hurricane genesis S. Bretl et al. https://doi.org/10.1002/2014JD022441
202. Numerical quantitation on the effect of coating materials on the mixing state retrieval accuracy of fractal black carbon based on single particle soot photometer J. Liu et al. https://doi.org/10.5194/amt-18-4045-2025
203. Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation M. Bonazzola et al. https://doi.org/10.5194/gmd-16-1359-2023
204. Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations G. Myhre et al. https://doi.org/10.5194/acp-13-1853-2013
205. Absorption enhancement of aged black carbon aerosols affected by their microphysics: A numerical investigation X. Zhang et al. https://doi.org/10.1016/j.jqsrt.2017.07.025
206. Evaluation of autoconversion schemes in a single model framework with satellite observations T. Michibata & T. Takemura https://doi.org/10.1002/2015JD023818-T
207. Advancing global aerosol simulations with size-segregated anthropogenic particle number emissions F. Xausa et al. https://doi.org/10.5194/acp-18-10039-2018
208. Enhanced Light Absorption and Radiative Forcing by Black Carbon Agglomerates G. Kelesidis et al. https://doi.org/10.1021/acs.est.2c00428
209. Removing Numerical Pathologies in a Turbulence Parameterization Through Convergence Testing S. Zhang et al. https://doi.org/10.1029/2023MS003633
210. Exploring Impacts of Size‐Dependent Evaporation and Entrainment in a Global Model I. Karset et al. https://doi.org/10.1029/2019JD031817
211. Is increasing ice crystal sedimentation velocity in geoengineering simulations a good proxy for cirrus cloud seeding? B. Gasparini et al. https://doi.org/10.5194/acp-17-4871-2017
212. Evaluating the climate and air quality impacts of short-lived pollutants A. Stohl et al. https://doi.org/10.5194/acp-15-10529-2015
213. How important are future marine and shipping aerosol emissions in a warming Arctic summer and autumn? A. Gilgen et al. https://doi.org/10.5194/acp-18-10521-2018
214. An updated microphysical model for particle activation in contrails: the role of volatile plume particles J. Ponsonby et al. https://doi.org/10.5194/acp-25-18617-2025
215. SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. https://doi.org/10.5194/gmd-11-3833-2018
216. Increasing aerosol emissions from boreal biomass burning exacerbate Arctic warming Q. Zhong et al. https://doi.org/10.1038/s41558-024-02176-y
217. Large difference in aerosol radiative effects from BVOC-SOA treatment in three Earth system models M. Sporre et al. https://doi.org/10.5194/acp-20-8953-2020
218. Climate responses to anthropogenic emissions of short-lived climate pollutants L. Baker et al. https://doi.org/10.5194/acp-15-8201-2015
219. Microscopic Observations of Core‐Shell Particle Structure and Implications for Atmospheric Aerosol Remote Sensing F. Unga et al. https://doi.org/10.1029/2018JD028602
220. The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0 M. Schultz et al. https://doi.org/10.5194/gmd-11-1695-2018
221. Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM H. Wan et al. https://doi.org/10.5194/gmd-6-861-2013
222. Modelling of primary aerosols in the chemical transport model MOCAGE: development and evaluation of aerosol physical parameterizations B. Sič et al. https://doi.org/10.5194/gmd-8-381-2015
223. Impact of isolated atmospheric aging processes on the cloud condensation nuclei activation of soot particles F. Friebel et al. https://doi.org/10.5194/acp-19-15545-2019
224. Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals N. Djuric et al. https://doi.org/10.1109/LGRS.2014.2361154
225. Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor https://doi.org/10.1016/j.atmosenv.2018.01.039
226. The importance of mixed-phase and ice clouds for climate sensitivity in the global aerosol–climate model ECHAM6-HAM2 U. Lohmann & D. Neubauer https://doi.org/10.5194/acp-18-8807-2018
227. Driving Factors of Aerosol Properties Over the Foothills of Central Himalayas Based on 8.5 Years Continuous Measurements R. Hooda et al. https://doi.org/10.1029/2018JD029744
228. Impacts of sea spray geoengineering on ocean biogeochemistry A. Partanen et al. https://doi.org/10.1002/2016GL070111
229. Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. https://doi.org/10.5194/gmd-15-3253-2022
230. Monte Carlo-based subgrid parameterization of vertical velocity and stratiform cloud microphysics in ECHAM5.5-HAM2 J. Tonttila et al. https://doi.org/10.5194/acp-13-7551-2013
231. Analysis of the global atmospheric background sulfur budget in a multi-model framework C. Brodowsky et al. https://doi.org/10.5194/acp-24-5513-2024
232. Tropospheric Aqueous-Phase Chemistry: Kinetics, Mechanisms, and Its Coupling to a Changing Gas Phase H. Herrmann et al. https://doi.org/10.1021/cr500447k
233. The impact of biogenic, anthropogenic, and biomass burning volatile organic compound emissions on regional and seasonal variations in secondary organic aerosol J. Kelly et al. https://doi.org/10.5194/acp-18-7393-2018
234. Tropospheric warming over the northern Indian Ocean caused by South Asian anthropogenic aerosols: possible impact on the upper troposphere and lower stratosphere S. Fadnavis et al. https://doi.org/10.5194/acp-22-7179-2022
235. The link between marine sediment records and changes in Holocene Saharan landscape: simulating the dust cycle S. Egerer et al. https://doi.org/10.5194/cp-12-1009-2016
236. Technical Note: On the use of nudging for aerosol–climate model intercomparison studies K. Zhang et al. https://doi.org/10.5194/acp-14-8631-2014
237. Blue skies over China: The effect of pollution-control on solar power generation and revenues M. Labordena et al. https://doi.org/10.1371/journal.pone.0207028
238. Evaluation of ECMWF IFS-AER (CAMS) operational forecasts during cycle 41r1–46r1 with calibrated ceilometer profiles over Germany H. Flentje et al. https://doi.org/10.5194/gmd-14-1721-2021
239. Dependency of the impacts of geoengineering on the stratospheric sulfur injection strategy – Part 2: How changes in the hydrological cycle depend on the injection rate and model used A. Laakso et al. https://doi.org/10.5194/esd-15-405-2024
240. Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires B. Heinold et al. https://doi.org/10.5194/acp-22-9969-2022
241. Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing M. Pöhlker et al. https://doi.org/10.1038/s41467-023-41695-8
242. Aerosol radiative effects with MACv2 S. Kinne https://doi.org/10.5194/acp-19-10919-2019
243. Impacts of emission reductions on aerosol radiative effects J. Pietikäinen et al. https://doi.org/10.5194/acp-15-5501-2015
244. Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability S. Ghan et al. https://doi.org/10.1073/pnas.1514036113
245. Impact of the representation of marine stratocumulus clouds on the anthropogenic aerosol effect D. Neubauer et al. https://doi.org/10.5194/acp-14-11997-2014
246. Multi-model simulations of aerosol and ozone radiative forcing due to anthropogenic emission changes during the period 1990–2015 G. Myhre et al. https://doi.org/10.5194/acp-17-2709-2017
247. Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. https://doi.org/10.1029/2022MS003571
248. Thirty years of arctic primary marine organic aerosols: patterns, seasonal dynamics, and trends (1990–2019) A. Leon-Marcos et al. https://doi.org/10.5194/acp-26-1109-2026
249. Subgrid-scale variability in clear-sky relative humidity and forcing by aerosol–radiation interactions in an atmosphere model P. Petersik et al. https://doi.org/10.5194/acp-18-8589-2018
250. Radiative properties of coated black carbon aerosols impacted by their microphysics X. Zhang & M. Mao https://doi.org/10.1016/j.jqsrt.2019.106718