61 citations as recorded by crossref.

1. 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
2. Global impact of mineral dust on cloud droplet number concentration V. Karydis et al. 10.5194/acp-17-5601-2017
3. 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
4. Amplified drying in South Asian summer monsoon precipitation due to anthropogenic sulfate aerosols S. Fadnavis et al. 10.1016/j.envpol.2023.123175
5. Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. 10.5194/acp-18-7669-2018
6. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
7. Emulation of a complex global aerosol model to quantify sensitivity to uncertain parameters L. Lee et al. 10.5194/acp-11-12253-2011
8. Enhancement of PM2.5 Concentrations by Aerosol‐Meteorology Interactions Over China X. Zhang et al. 10.1002/2017JD027524
9. 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
10. On the sensitivity of anthropogenic aerosol forcing to model‐internal variability and parameterizing a Twomey effect S. Fiedler et al. 10.1002/2017MS000932
11. 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
12. 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
13. Large contribution of natural aerosols to uncertainty in indirect forcing K. Carslaw et al. 10.1038/nature12674
14. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
15. Prognostic precipitation with three liquid water classes in the ECHAM5–HAM GCM V. Sant et al. 10.5194/acp-15-8717-2015
16. 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
17. 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
18. 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
19. Extension and statistical analysis of the GACP aerosol optical thickness record I. Geogdzhayev et al. 10.1016/j.atmosres.2015.05.013
20. 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
21. 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
22. Validation of Long-Term Global Aerosol Climatology Project Optical Thickness Retrievals Using AERONET and MODIS Data I. Geogdzhayev & M. Mishchenko 10.3390/rs71012588
23. 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
24. 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
25. 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
26. Technical Note: On the use of nudging for aerosol–climate model intercomparison studies K. Zhang et al. 10.5194/acp-14-8631-2014
27. The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
28. Multistatic aerosol–cloud lidar in space: A theoretical perspective M. Mishchenko et al. 10.1016/j.jqsrt.2016.07.015
29. 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
30. 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
31. Direct Radiative Effect by Multicomponent Aerosol over China* X. Huang et al. 10.1175/JCLI-D-14-00365.1
32. 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
33. 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
34. 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
35. Optical Properties of Biomass Burning Aerosols: Comparison of Experimental Measurements and T-Matrix Calculations S. Poudel et al. 10.3390/atmos8110228
36. Variability of aerosol-cloud interactions induced by different cloud droplet nucleation schemes D. Chang et al. 10.1016/j.atmosres.2020.105367
37. 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
38. The temporal evolution of a long‐lived contrail cirrus cluster: Simulations with a global climate model L. Bock & U. Burkhardt 10.1002/2015JD024475
39. Mapping the uncertainty in global CCN using emulation L. Lee et al. 10.5194/acp-12-9739-2012
40. Satellite project «Aerosol-UA»:remote sensing of aerosols in the Earth’s atmosphere Y. Yatskiv et al. 10.15407/knit2012.04.003
41. Can nudging be used to quantify model sensitivities in precipitation and cloud forcing? G. Lin et al. 10.1002/2016MS000659
42. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. 10.3390/atmos10080456
43. How alkaline compounds control atmospheric aerosol particle acidity V. Karydis et al. 10.5194/acp-21-14983-2021
44. 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
45. Assessment of simulated aerosol effective radiative forcings in the terrestrial spectrum I. Heyn et al. 10.1002/2016GL071975
46. Droplet nucleation: Physically-based parameterizations and comparative evaluation S. Ghan et al. 10.1029/2011MS000074
47. Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
48. Impact of the representation of marine stratocumulus clouds on the anthropogenic aerosol effect D. Neubauer et al. 10.5194/acp-14-11997-2014
49. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
50. 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
51. Aerosol physicochemical effects on CCN activation simulated with the chemistry-climate model EMAC D. Chang et al. 10.1016/j.atmosenv.2017.03.036
52. 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
53. Impact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations J. Sun et al. 10.1029/2019MS001831
54. The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei L. Lee et al. 10.5194/acp-13-8879-2013
55. Model‐based estimation of sampling‐caused uncertainty in aerosol remote sensing for climate research applications I. Geogdzhayev et al. 10.1002/qj.2305
56. Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
57. 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
58. 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
59. Information content of bistatic lidar observations of aerosols from space M. Alexandrov & M. Mishchenko 10.1364/OE.25.00A134
60. Anthropogenic Aerosol Influences on Mixed-Phase Clouds U. Lohmann 10.1007/s40641-017-0059-9
61. How important is organic aerosol hygroscopicity to aerosol indirect forcing? X. Liu & J. Wang 10.1088/1748-9326/5/4/044010