77 citations as recorded by crossref.

1. Space‐Borne Estimation of Volcanic Sulfate Aerosol Lifetime C. Li & R. Cohen https://doi.org/10.1029/2020JD033883
2. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. https://doi.org/10.5194/gmd-14-7659-2021
3. Technical note: Parameterising cloud base updraft velocity of marine stratocumuli J. Ahola et al. https://doi.org/10.5194/acp-22-4523-2022
4. Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al. https://doi.org/10.16993/tellusb.1883
5. The value of remote marine aerosol measurements for constraining radiative forcing uncertainty L. Regayre et al. https://doi.org/10.5194/acp-20-10063-2020
6. Statistical constraints on climate model parameters using a scalable cloud-based inference framework J. Carzon et al. https://doi.org/10.1017/eds.2023.12
7. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. https://doi.org/10.1126/sciadv.aaz6433
8. Effect of aerosol radiative forcing uncertainty on projected exceedance year of a 1.5 °C global temperature rise A. Peace et al. https://doi.org/10.1088/1748-9326/aba20c
9. Toward Efficient Calibration of Higher‐Resolution Earth System Models C. Fletcher et al. https://doi.org/10.1029/2021MS002836
10. Evaluating uncertainty in aerosol forcing of tropical precipitation shifts A. Peace et al. https://doi.org/10.5194/esd-13-1215-2022
11. Study of the aerosol optical characteristics over the Romanian Black Sea Coast using AERONET data S. Stefan et al. https://doi.org/10.1016/j.apr.2020.04.007
12. Constraining aerosol–cloud adjustments by uniting surface observations with a perturbed parameter ensemble A. Mikkelsen et al. https://doi.org/10.5194/acp-25-4547-2025
13. 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
14. 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
15. Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing M. Yoshioka et al. https://doi.org/10.1029/2019MS001628
16. The impact of performance filtering on climate feedbacks in a perturbed parameter ensemble J. Rostron et al. https://doi.org/10.1007/s00382-020-05281-8
17. Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations R. Herbert et al. https://doi.org/10.5194/acp-25-7789-2025
18. A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 1: selecting the parameter combinations D. Sexton et al. https://doi.org/10.1007/s00382-021-05709-9
19. Atmospheric-methane source and sink sensitivity analysis using Gaussian process emulation A. Stell et al. https://doi.org/10.5194/acp-21-1717-2021
20. A likely increase in fine particulate matter and premature mortality under future climate change S. Park et al. https://doi.org/10.1007/s11869-019-00785-7
21. 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
22. Overview of the Antarctic Circumnavigation Expedition: Study of Preindustrial-like Aerosols and Their Climate Effects (ACE-SPACE) J. Schmale et al. https://doi.org/10.1175/BAMS-D-18-0187.1
23. Significant climate impacts of aerosol changes driven by growth in energy use and advances in emission control technology A. Zhao et al. https://doi.org/10.5194/acp-19-14517-2019
24. Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements A. Ranjithkumar et al. https://doi.org/10.5194/acp-21-4979-2021
25. The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing S. Turnock et al. https://doi.org/10.1029/2019GL082067
26. Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. https://doi.org/10.1029/2021GL094300
27. Evaluation and projections of the East Asian summer monsoon in a perturbed parameter ensemble J. Rostron et al. https://doi.org/10.1007/s00382-022-06507-7
28. The future of Earth system prediction: Advances in model-data fusion A. Gettelman et al. https://doi.org/10.1126/sciadv.abn3488
29. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
30. Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing A. Dittus et al. https://doi.org/10.1029/2019GL085806
31. 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
32. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
33. Recent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth’s Energy Imbalance: A Review T. Michibata et al. https://doi.org/10.1007/s40726-025-00382-6
34. Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions? J. Mülmenstädt et al. https://doi.org/10.5194/acp-24-13633-2024
35. Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. https://doi.org/10.5194/gmd-13-6383-2020
36. The potential role of methanesulfonic acid (MSA) in aerosol formation and growth and the associated radiative forcings A. Hodshire et al. https://doi.org/10.5194/acp-19-3137-2019
37. Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. https://doi.org/10.5194/gmd-17-2387-2024
38. Opinion: The importance and future development of perturbed parameter ensembles in climate and atmospheric science K. Carslaw et al. https://doi.org/10.5194/acp-26-4651-2026
39. Effective Radiative Forcing of the Internally Mixed Sulfate and Black Carbon Aerosol in the GFDL AM4 Model: The Role Played by Other Aerosol Species G. Govardhan et al. https://doi.org/10.1029/2023JD038481
40. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. https://doi.org/10.1029/2018MS001464
41. Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions From Different Source Regions B. Grandey & C. Wang https://doi.org/10.1029/2018JD029644
42. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
43. Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing L. Regayre et al. https://doi.org/10.5194/acp-23-8749-2023
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. The hemispheric contrast in cloud microphysical properties constrains aerosol forcing I. McCoy et al. https://doi.org/10.1073/pnas.1922502117
46. Quantifying uncertainty from aerosol and atmospheric parameters and their impact on climate sensitivity C. Fletcher et al. https://doi.org/10.5194/acp-18-17529-2018
47. An extensible perturbed parameter ensemble for the Community Atmosphere Model version 6 T. Eidhammer et al. https://doi.org/10.5194/gmd-17-7835-2024
48. Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016 Y. Shinozuka et al. https://doi.org/10.5194/acp-20-11491-2020
49. Aircraft in-situ measurements from SOCRATES constrain the anthropogenic perturbations of cloud droplet number C. Song et al. https://doi.org/10.5194/acp-25-16063-2025
50. In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. https://doi.org/10.5194/acp-19-11765-2019
51. Contrasting the Role of Regional and Remote Circulation in Driving Asian Monsoon Biases in MetUM GA7.1 Z. Liu et al. https://doi.org/10.1029/2020JD034342
52. Sensitivities of simulated global aerosol optical depth and aerosol-radiation interactions to different horizontal resolutions in CAS-FGOALS-f3 M. Zhao et al. https://doi.org/10.1016/j.atmosenv.2021.118920
53. Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al. https://doi.org/10.5194/acp-20-9491-2020
54. Enhanced Nonspherical Aerosol Scheme for Thermal-Infrared Radiative Transfer Model: A Super-Ellipsoidal Scheme for Sea Salt and Mineral Dust Aerosol (RTM-SuperAero) Y. Meng et al. https://doi.org/10.1109/JSTARS.2026.3695586
55. Interannual and Seasonal Variation of Optical and Microphysical Properties of Aerosol in the Baikal Region A. Dementeva et al. https://doi.org/10.3390/atmos13020211
56. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. https://doi.org/10.5194/acp-18-15261-2018
57. 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
58. Changing nature of Saharan dust deposition in the Carpathian Basin (Central Europe): 40 years of identified North African dust events (1979–2018) G. Varga https://doi.org/10.1016/j.envint.2020.105712
59. Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. https://doi.org/10.5194/acp-21-8127-2021
60. Remaining aerosol forcing uncertainty after observational constraint and the processes that cause it L. Regayre et al. https://doi.org/10.5194/acp-26-2293-2026
61. Modeling an Extreme Dust Deposition Event to the French Alpine Seasonal Snowpack in April 2018: Meteorological Context and Predictions of Dust Deposition F. Baladima et al. https://doi.org/10.1029/2021JD035745
62. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. https://doi.org/10.5194/acp-22-4737-2022
63. The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate T. Kuhlbrodt et al. https://doi.org/10.1029/2018MS001370
64. Soot, sulfate, dust and the climate — three ways through the fog J. Penner https://doi.org/10.1038/d41586-019-01791-6
65. Black carbon radiative effects highly sensitive to emitted particle size when resolving mixing-state diversity H. Matsui et al. https://doi.org/10.1038/s41467-018-05635-1
66. Effect of resolution on simulated teleconnections to winter North Atlantic circulation inferred from a causal network derived from expert elicitation D. Sexton et al. https://doi.org/10.1007/s00382-024-07497-4
67. Detection of potential structural deficiencies in a global aerosol model using a perturbed parameter ensemble L. Prévost et al. https://doi.org/10.5194/acp-26-2487-2026
68. A Dissection of the Inter‐Model Spread of the Aerosol Direct Radiative Effect in CMIP6 Models Q. Yu & Y. Huang https://doi.org/10.1029/2023GL105112
69. AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition N. Mahowald et al. https://doi.org/10.5194/acp-25-4665-2025
70. The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing J. Johnson et al. https://doi.org/10.5194/acp-18-13031-2018
71. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
72. 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
73. The Fall and Rise of the Global Climate Model J. Mülmenstädt & L. Wilcox https://doi.org/10.1029/2021MS002781
74. Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. https://doi.org/10.5194/gmd-15-2881-2022
75. Are Changes in Atmospheric Circulation Important for Black Carbon Aerosol Impacts on Clouds, Precipitation, and Radiation? B. Johnson et al. https://doi.org/10.1029/2019JD030568
76. Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition N. Bellouin et al. https://doi.org/10.5194/essd-12-1649-2020
77. Opinion: The importance of historical and paleoclimate aerosol radiative effects N. Mahowald et al. https://doi.org/10.5194/acp-24-533-2024