63 citations as recorded by crossref.

1. Impact of mineral dust on the global nitrate aerosol direct and indirect radiative effect A. Milousis et al. 10.5194/acp-25-1333-2025
2. A novel approach for determining source–receptor relationships in model simulations: a case study of black carbon transport in northern hemisphere winter P. Ma et al. 10.1088/1748-9326/8/2/024042
3. Global impact of mineral dust on cloud droplet number concentration V. Karydis et al. 10.5194/acp-17-5601-2017
4. Sensitivity of the Aerosol Indirect Effect to Subgrid Variability in the Cloud Parameterization of the GFDL Atmosphere General Circulation Model AM3 J. Golaz et al. 10.1175/2010JCLI3945.1
5. Amplified drying in South Asian summer monsoon precipitation due to anthropogenic sulfate aerosols S. Fadnavis et al. 10.1016/j.envpol.2023.123175
6. Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. 10.5194/acp-18-7669-2018
7. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
8. Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters L. Lee et al. 10.5194/acp-11-12253-2011
9. Enhancement of PM2.5 Concentrations by Aerosol‐Meteorology Interactions Over China X. Zhang et al. 10.1002/2017JD027524
10. T-matrix modeling of linear depolarization by morphologically complex soot and soot-containing aerosols M. Mishchenko et al. 10.1016/j.jqsrt.2012.11.012
11. On the sensitivity of anthropogenic aerosol forcing to model‐internal variability and parameterizing a Twomey effect S. Fiedler et al. 10.1002/2017MS000932
12. The effect of aerosols and sea surface temperature on China's climate in the late twentieth century from ensembles of global climate simulations D. Folini & M. Wild 10.1002/2014JD022851
13. Cirrus cloud thinning using a more physically based ice microphysics scheme in the ECHAM-HAM general circulation model C. Tully et al. 10.5194/acp-22-11455-2022
14. Large contribution of natural aerosols to uncertainty in indirect forcing K. Carslaw et al. 10.1038/nature12674
15. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
16. Prognostic precipitation with three liquid water classes in the ECHAM5–HAM GCM V. Sant et al. 10.5194/acp-15-8717-2015
17. 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. 10.5194/acp-13-10969-2013
18. Monte Carlo-based subgrid parameterization of vertical velocity and stratiform cloud microphysics in ECHAM5.5-HAM2 J. Tonttila et al. 10.5194/acp-13-7551-2013
19. Influence of land cover change on atmospheric organic gases, aerosols, and radiative effects R. Vella et al. 10.5194/acp-25-243-2025
20. Statistical analysis of single-track instrument sampling in spaceborne aerosol remote sensing for climate research I. Geogdzhayev et al. 10.1016/j.jqsrt.2013.02.003
21. Extension and statistical analysis of the GACP aerosol optical thickness record I. Geogdzhayev et al. 10.1016/j.atmosres.2015.05.013
22. 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
23. Quantifying structural errors in cloud condensation nuclei activity from reduced representation of aerosol size distributions L. Fierce et al. 10.1016/j.jaerosci.2024.106388
24. Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data I. Geogdzhayev & M. Mishchenko 10.3390/rs71012588
25. Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51 P. Jöckel et al. 10.5194/gmd-9-1153-2016
26. 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. 10.5194/acp-19-9989-2019
27. 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
28. Technical Note: On the use of nudging for aerosol–climate model intercomparison studies K. Zhang et al. 10.5194/acp-14-8631-2014
29. The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
30. Multistatic aerosol–cloud lidar in space: A theoretical perspective M. Mishchenko et al. 10.1016/j.jqsrt.2016.07.015
31. Aerosol–radiation–cloud interactions in a regional coupled model: the effects of convective parameterisation and resolution S. Archer-Nicholls et al. 10.5194/acp-16-5573-2016
32. Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF L. Regayre et al. 10.5194/acp-18-9975-2018
33. Direct Radiative Effect by Multicomponent Aerosol over China* X. Huang et al. 10.1175/JCLI-D-14-00365.1
34. 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. 10.5194/acp-17-11637-2017
35. 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. 10.1002/2015JD023442
36. 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
37. Optical Properties of Biomass Burning Aerosols: Comparison of Experimental Measurements and T-Matrix Calculations S. Poudel et al. 10.3390/atmos8110228
38. Variability of aerosol-cloud interactions induced by different cloud droplet nucleation schemes D. Chang et al. 10.1016/j.atmosres.2020.105367
39. Long-term Assessment of Precipitation Behaviour in Bihar (1901-2021): Patterns, Trends and Observed Variability M. Sharma & S. Priya 10.12944/CWE.18.2.19
40. The temporal evolution of a long‐lived contrail cirrus cluster: Simulations with a global climate model L. Bock & U. Burkhardt 10.1002/2015JD024475
41. Mapping the uncertainty in global CCN using emulation L. Lee et al. 10.5194/acp-12-9739-2012
42. Satellite project «Aerosol-UA»:remote sensing of aerosols in the Earth’s atmosphere Y. Yatskiv et al. 10.15407/knit2012.04.003
43. Can nudging be used to quantify model sensitivities in precipitation and cloud forcing? G. Lin et al. 10.1002/2016MS000659
44. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. 10.3390/atmos10080456
45. How alkaline compounds control atmospheric aerosol particle acidity V. Karydis et al. 10.5194/acp-21-14983-2021
46. Short ensembles: an efficient method for discerning climate-relevant sensitivities in atmospheric general circulation models H. Wan et al. 10.5194/gmd-7-1961-2014
47. Assessment of simulated aerosol effective radiative forcings in the terrestrial spectrum I. Heyn et al. 10.1002/2016GL071975
48. Droplet nucleation: Physically-based parameterizations and comparative evaluation S. Ghan et al. 10.1029/2011MS000074
49. Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
50. Impact of the representation of marine stratocumulus clouds on the anthropogenic aerosol effect D. Neubauer et al. 10.5194/acp-14-11997-2014
51. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
52. On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect D. Rothenberg et al. 10.5194/acp-18-7961-2018
53. Aerosol physicochemical effects on CCN activation simulated with the chemistry-climate model EMAC D. Chang et al. 10.1016/j.atmosenv.2017.03.036
54. Implementation of the ISORROPIA-lite aerosol thermodynamics model into the EMAC chemistry climate model (based on MESSy v2.55): implications for aerosol composition and acidity A. Milousis et al. 10.5194/gmd-17-1111-2024
55. Impact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations J. Sun et al. 10.1029/2019MS001831
56. The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei L. Lee et al. 10.5194/acp-13-8879-2013
57. Model‐based estimation of sampling‐caused uncertainty in aerosol remote sensing for climate research applications I. Geogdzhayev et al. 10.1002/qj.2305
58. Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
59. Aerosol retrievals from channel-1 and -2 AVHRR radiances: Long-term trends updated and revisited M. Mishchenko et al. 10.1016/j.jqsrt.2012.05.006
60. 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
61. Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko 10.1364/OE.25.00A134
62. Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann 10.1007/s40641-017-0059-9
63. How important is organic aerosol hygroscopicity to aerosol indirect forcing? X. Liu & J. Wang 10.1088/1748-9326/5/4/044010