105 citations as recorded by crossref.

1. 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. 10.5194/acp-17-13165-2017
2. Prognostic precipitation with three liquid water classes in the ECHAM5–HAM GCM V. Sant et al. 10.5194/acp-15-8717-2015
3. MADE-in: a new aerosol microphysics submodel for global simulation of insoluble particles and their mixing state V. Aquila et al. 10.5194/gmd-4-325-2011
4. 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
5. GCM simulations of anthropogenic aerosol‐induced changes in aerosol extinction, atmospheric heating and precipitation over India R. Cherian et al. 10.1002/jgrd.50298
6. Can nudging be used to quantify model sensitivities in precipitation and cloud forcing? G. Lin et al. 10.1002/2016MS000659
7. The effects of hygroscopicity on ice nucleation of fossil fuel combustion aerosols in mixed-phase clouds Y. Yun et al. 10.5194/acp-13-4339-2013
8. Intercomparison of the cloud water phase among global climate models M. Komurcu et al. 10.1002/2013JD021119
9. Constraining Precipitation Susceptibility of Warm-, Ice-, and Mixed-Phase Clouds with Microphysical Equations F. Glassmeier & U. Lohmann 10.1175/JAS-D-16-0008.1
10. Investigating the Linear Dependence of Direct and Indirect Radiative Forcing on Emission of Carbonaceous Aerosols in a Global Climate Model Y. Chen et al. 10.1002/2017JD027244
11. Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon Z. Kipling et al. 10.5194/acp-13-5969-2013
12. 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. 10.5194/gmd-15-6787-2022
13. Sensitivity of cloud-phase distribution to cloud microphysics and thermodynamics in simulated deep convective clouds and SEVIRI retrievals C. Han et al. 10.5194/acp-23-14077-2023
14. Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign K. Zhang et al. 10.5194/acp-13-4963-2013
15. In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
16. Contrasting the Role of Regional and Remote Circulation in Driving Asian Monsoon Biases in MetUM GA7.1 Z. Liu et al. 10.1029/2020JD034342
17. Observational constraints on mixed-phase clouds imply higher climate sensitivity I. Tan et al. 10.1126/science.aad5300
18. A single parameter representation of hygroscopic growth and cloud condensation nucleus activity – Part 3: Including surfactant partitioning M. Petters & S. Kreidenweis 10.5194/acp-13-1081-2013
19. 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. 10.1029/2021MS002699
20. Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann 10.1007/s40641-017-0059-9
21. Black carbon linked aerosol hygroscopic growth: Size and mixing state are crucial B. Sarangi et al. 10.1016/j.atmosenv.2018.12.001
22. 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. 10.1175/JAS-D-17-0191.1
23. A Classical-Theory-Based Parameterization of Heterogeneous Ice Nucleation by Mineral Dust, Soot, and Biological Particles in a Global Climate Model C. Hoose et al. 10.1175/2010JAS3425.1
24. Bacteria in the ECHAM5-HAM global climate model A. Sesartic et al. 10.5194/acp-12-8645-2012
25. Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
26. A generalised background correction algorithm for a Halo Doppler lidar and its application to data from Finland A. Manninen et al. 10.5194/amt-9-817-2016
27. Sensitivity of mixed-phase moderately deep convective clouds to parameterizations of ice formation – an ensemble perspective A. Miltenberger & P. Field 10.5194/acp-21-3627-2021
28. Modelling the impact of fungal spore ice nuclei on clouds and precipitation A. Sesartic et al. 10.1088/1748-9326/8/1/014029
29. The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 2: Cloud evaluation, aerosol radiative forcing, and climate sensitivity D. Neubauer et al. 10.5194/gmd-12-3609-2019
30. Global modelling of direct and indirect effects of sea spray aerosol using a source function encapsulating wave state A. Partanen et al. 10.5194/acp-14-11731-2014
31. Seasonal updraft speeds change cloud droplet number concentrations in low-level clouds over the western North Atlantic S. Kirschler et al. 10.5194/acp-22-8299-2022
32. A phase separation inlet for droplets, ice residuals, and interstitial aerosol particles L. Koolik et al. 10.5194/amt-15-3213-2022
33. Chemistry–climate interactions of aerosol nitrate from lightning H. Tost 10.5194/acp-17-1125-2017
34. Reduced efficacy of marine cloud brightening geoengineering due to in-plume aerosol coagulation: parameterization and global implications G. Stuart et al. 10.5194/acp-13-10385-2013
35. 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. 10.5194/acp-17-327-2017
36. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
37. Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
38. Influence of cloud phase composition on climate feedbacks Y. Choi et al. 10.1002/2013JD020582
39. Climate impacts of ice nucleation A. Gettelman et al. 10.1029/2012JD017950
40. Machine learning for weather and climate are worlds apart D. Watson-Parris 10.1098/rsta.2020.0098
41. Impact of parametric uncertainties on the present-day climate and on the anthropogenic aerosol effect U. Lohmann & S. Ferrachat 10.5194/acp-10-11373-2010
42. Aerosol-cloud-precipitation effects over Germany as simulated by a convective-scale numerical weather prediction model A. Seifert et al. 10.5194/acp-12-709-2012
43. The impact of recent changes in Asian anthropogenic emissions of SO<sub>2</sub> on sulfate loading in the upper troposphere and lower stratosphere and the associated radiative changes S. Fadnavis et al. 10.5194/acp-19-9989-2019
44. The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations K. Zhang et al. 10.5194/acp-12-8911-2012
45. Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM H. Wan et al. 10.5194/gmd-6-861-2013
46. The Role of Secondary Ice Processes in Midlatitude Continental Clouds A. Zipori et al. 10.1029/2018JD029146
47. Total aerosol effect: radiative forcing or radiative flux perturbation? U. Lohmann et al. 10.5194/acp-10-3235-2010
48. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. 10.1038/s41558-021-01038-1
49. Revising the hygroscopicity of inorganic sea salt particles P. Zieger et al. 10.1038/ncomms15883
50. Effect of photochemical ageing on the ice nucleation properties of diesel and wood burning particles C. Chou et al. 10.5194/acp-13-761-2013
51. Effects of aerosols on precipitation in north-eastern North America R. Mashayekhi & J. Sloan 10.5194/acp-14-5111-2014
52. Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation J. Kaiser et al. 10.5194/gmd-12-541-2019
53. The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation I. Tegen et al. 10.5194/gmd-12-1643-2019
54. Diurnal variations of humidity and ice water content in the tropical upper troposphere P. Eriksson et al. 10.5194/acp-10-11519-2010
55. Numerical simulation of the impact of COVID-19 lockdown on tropospheric composition and aerosol radiative forcing in Europe S. Reifenberg et al. 10.5194/acp-22-10901-2022
56. On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models S. Zhang et al. 10.5194/acp-16-2765-2016
57. Simulating the influence of primary biological aerosol particles on clouds by heterogeneous ice nucleation M. Hummel et al. 10.5194/acp-18-15437-2018
58. Aerosol distribution over Brazil with ECHAM-HAM and CAM5-MAM3 simulations and its comparison with ground-based and satellite data D. Alvim et al. 10.1016/j.apr.2017.01.008
59. 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. 10.5194/acp-17-6243-2017
60. Analysis of isothermal and cooling-rate-dependent immersion freezing by a unifying stochastic ice nucleation model P. Alpert & D. Knopf 10.5194/acp-16-2083-2016
61. A water activity based model of heterogeneous ice nucleation kinetics for freezing of water and aqueous solution droplets D. Knopf & P. Alpert 10.1039/c3fd00035d
62. A Novel Adiabatic-Expansion-Type Cloud Simulation Chamber T. TAJIRI et al. 10.2151/jmsj.2013-509
63. Overview of Ice Nucleating Particles Z. Kanji et al. 10.1175/AMSMONOGRAPHS-D-16-0006.1
64. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. 10.5194/acp-20-1607-2020
65. Comparison of measured and calculated collision efficiencies at low temperatures B. Nagare et al. 10.5194/acp-15-13759-2015
66. From nuclear power to coal power: Aerosol‐induced health and radiative effects T. Mielonen et al. 10.1002/2015JD024183
67. On the contribution of fast and slow responses to precipitation changes caused by aerosol perturbations S. Zhang et al. 10.5194/acp-21-10179-2021
68. Cirrus Cloud Properties as Seen by the CALIPSO Satellite and ECHAM-HAM Global Climate Model B. Gasparini et al. 10.1175/JCLI-D-16-0608.1
69. Polar Aerosol Vertical Structures and Characteristics Observed with a High Spectral Resolution Lidar at the ARM NSA Observatory D. Zhang et al. 10.3390/rs14184638
70. The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0 M. Schultz et al. 10.5194/gmd-11-1695-2018
71. Technical note: Emulation of a large-eddy simulator for stratocumulus clouds in a general circulation model K. Nordling et al. 10.5194/acp-24-869-2024
72. Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing M. Pöhlker et al. 10.1038/s41467-023-41695-8
73. Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems G. Dagan et al. 10.5194/acp-20-4523-2020
74. Effects of Inorganic Acids and Organic Solutes on the Ice Nucleating Ability and Surface Properties of Potassium-Rich Feldspar J. Yun et al. 10.1021/acsearthspacechem.1c00034
75. Soot microphysical effects on liquid clouds, a multi-model investigation D. Koch et al. 10.5194/acp-11-1051-2011
76. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
77. Climate and air quality trade-offs in altering ship fuel sulfur content A. Partanen et al. 10.5194/acp-13-12059-2013
78. Relationships between aerosols and precipitation in the southern Appalachian Mountains G. Kelly et al. 10.1002/joc.3632
79. Global response of parameterised convective cloud fields to anthropogenic aerosol forcing Z. Kipling et al. 10.5194/acp-20-4445-2020
80. Blue skies over China: The effect of pollution-control on solar power generation and revenues M. Labordena et al. 10.1371/journal.pone.0207028
81. 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. 10.5194/acp-19-15415-2019
82. Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects J. Dionne et al. 10.5194/acp-20-29-2020
83. The importance of mixed-phase and ice clouds for climate sensitivity in the global aerosol–climate model ECHAM6-HAM2 U. Lohmann & D. Neubauer 10.5194/acp-18-8807-2018
84. Short‐term time step convergence in a climate model H. Wan et al. 10.1002/2014MS000368
85. Characteristics of atmospheric ice nucleating particles associated with biomass burning in the US: Prescribed burns and wildfires C. McCluskey et al. 10.1002/2014JD021980
86. An aerosol classification scheme for global simulations using the K-means machine learning method J. Li et al. 10.5194/gmd-15-509-2022
87. Mixed-Phase Clouds: Progress and Challenges A. Korolev et al. 10.1175/AMSMONOGRAPHS-D-17-0001.1
88. Impacts of emission reductions on aerosol radiative effects J. Pietikäinen et al. 10.5194/acp-15-5501-2015
89. Two-moment bulk stratiform cloud microphysics in the grid-point atmospheric model of IAP LASG (GAMIL) X. Shi et al. 10.1007/s00376-012-2072-1
90. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
91. Aerosol Effects on Climate via Mixed-Phase and Ice Clouds T. Storelvmo 10.1146/annurev-earth-060115-012240
92. 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
93. Assessment of simulated aerosol effective radiative forcings in the terrestrial spectrum I. Heyn et al. 10.1002/2016GL071975
94. A Case Study of Cloud Radar Observations and Large-Eddy Simulations of a Shallow Stratiform Orographic Cloud, and the Impact of Glaciogenic Seeding X. Chu et al. 10.1175/JAMC-D-16-0364.1
95. The ice nucleation ability of one of the most abundant types of fungal spores found in the atmosphere R. Iannone et al. 10.5194/acp-11-1191-2011
96. Technical Note: On the use of nudging for aerosol–climate model intercomparison studies K. Zhang et al. 10.5194/acp-14-8631-2014
97. Illustration of microphysical processes in Amazonian deep convective clouds in the gamma phase space: introduction and potential applications M. Cecchini et al. 10.5194/acp-17-14727-2017
98. Snow-induced buffering in aerosol–cloud interactions T. Michibata et al. 10.5194/acp-20-13771-2020
99. Large difference in aerosol radiative effects from BVOC-SOA treatment in three Earth system models M. Sporre et al. 10.5194/acp-20-8953-2020
100. Simulating glacial dust changes in the Southern Hemisphere using ECHAM6.3-HAM2.3 S. Krätschmer et al. 10.5194/cp-18-67-2022
101. Aerosol optical depth over the Arctic: a comparison of ECHAM-HAM and TM5 with ground-based, satellite and reanalysis data J. von Hardenberg et al. 10.5194/acp-12-6953-2012
102. Vertical Distributions of Aerosol and Cloud Microphysical Properties and the Aerosol Impact on a Continental Cumulus Cloud Based on Aircraft Measurements From the Loess Plateau of China Z. Cai et al. 10.3389/fenvs.2021.808861
103. Experimental study of the role of physicochemical surface processing on the IN ability of mineral dust particles D. Niedermeier et al. 10.5194/acp-11-11131-2011
104. Implementation of the MEGAN (v2.1) biogenic emission model in the ECHAM6-HAMMOZ chemistry climate model A. Henrot et al. 10.5194/gmd-10-903-2017
105. Aerosol indirect effects on orographic clouds and precipitation S. Chavez & A. Barros 10.3389/feart.2023.1025266