68 citations as recorded by crossref.

1. Space‐Borne Estimation of Volcanic Sulfate Aerosol Lifetime C. Li & R. Cohen 10.1029/2020JD033883
2. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
3. Technical note: Parameterising cloud base updraft velocity of marine stratocumuli J. Ahola et al. 10.5194/acp-22-4523-2022
4. The value of remote marine aerosol measurements for constraining radiative forcing uncertainty L. Regayre et al. 10.5194/acp-20-10063-2020
5. Statistical constraints on climate model parameters using a scalable cloud-based inference framework J. Carzon et al. 10.1017/eds.2023.12
6. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. 10.1126/sciadv.aaz6433
7. Effect of aerosol radiative forcing uncertainty on projected exceedance year of a 1.5 °C global temperature rise A. Peace et al. 10.1088/1748-9326/aba20c
8. Toward Efficient Calibration of Higher‐Resolution Earth System Models C. Fletcher et al. 10.1029/2021MS002836
9. Evaluating uncertainty in aerosol forcing of tropical precipitation shifts A. Peace et al. 10.5194/esd-13-1215-2022
10. Study of the aerosol optical characteristics over the Romanian Black Sea Coast using AERONET data S. Stefan et al. 10.1016/j.apr.2020.04.007
11. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. 10.5194/acp-21-2637-2021
12. 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
13. The impact of performance filtering on climate feedbacks in a perturbed parameter ensemble J. Rostron et al. 10.1007/s00382-020-05281-8
14. A perturbed parameter ensemble of HadGEM3-GC3.05 coupled model projections: part 1: selecting the parameter combinations D. Sexton et al. 10.1007/s00382-021-05709-9
15. Atmospheric-methane source and sink sensitivity analysis using Gaussian process emulation A. Stell et al. 10.5194/acp-21-1717-2021
16. A likely increase in fine particulate matter and premature mortality under future climate change S. Park et al. 10.1007/s11869-019-00785-7
17. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
18. Overview of the Antarctic Circumnavigation Expedition: Study of Preindustrial-like Aerosols and Their Climate Effects (ACE-SPACE) J. Schmale et al. 10.1175/BAMS-D-18-0187.1
19. Significant climate impacts of aerosol changes driven by growth in energy use and advances in emission control technology A. Zhao et al. 10.5194/acp-19-14517-2019
20. Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements A. Ranjithkumar et al. 10.5194/acp-21-4979-2021
21. The Impact of Changes in Cloud Water pH on Aerosol Radiative Forcing S. Turnock et al. 10.1029/2019GL082067
22. Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. 10.1029/2021GL094300
23. Evaluation and projections of the East Asian summer monsoon in a perturbed parameter ensemble J. Rostron et al. 10.1007/s00382-022-06507-7
24. The future of Earth system prediction: Advances in model-data fusion A. Gettelman et al. 10.1126/sciadv.abn3488
25. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. 10.1038/s41558-021-01038-1
26. Sensitivity of Historical Climate Simulations to Uncertain Aerosol Forcing A. Dittus et al. 10.1029/2019GL085806
27. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
28. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
29. Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions? J. Mülmenstädt et al. 10.5194/acp-24-13633-2024
30. Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. 10.5194/gmd-13-6383-2020
31. The potential role of methanesulfonic acid (MSA) in aerosol formation and growth and the associated radiative forcings A. Hodshire et al. 10.5194/acp-19-3137-2019
32. Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. 10.5194/gmd-17-2387-2024
33. 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. 10.1029/2023JD038481
34. Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 J. Mulcahy et al. 10.1029/2018MS001464
35. Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions From Different Source Regions B. Grandey & C. Wang 10.1029/2018JD029644
36. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
37. Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing L. Regayre et al. 10.5194/acp-23-8749-2023
38. 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. 10.5194/acp-20-9679-2020
39. The hemispheric contrast in cloud microphysical properties constrains aerosol forcing I. McCoy et al. 10.1073/pnas.1922502117
40. Quantifying uncertainty from aerosol and atmospheric parameters and their impact on climate sensitivity C. Fletcher et al. 10.5194/acp-18-17529-2018
41. An extensible perturbed parameter ensemble for the Community Atmosphere Model version 6 T. Eidhammer et al. 10.5194/gmd-17-7835-2024
42. Modeling the smoky troposphere of the southeast Atlantic: a comparison to ORACLES airborne observations from September of 2016 Y. Shinozuka et al. 10.5194/acp-20-11491-2020
43. In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
44. Contrasting the Role of Regional and Remote Circulation in Driving Asian Monsoon Biases in MetUM GA7.1 Z. Liu et al. 10.1029/2020JD034342
45. Sensitivities of simulated global aerosol optical depth and aerosol-radiation interactions to different horizontal resolutions in CAS-FGOALS-f3 M. Zhao et al. 10.1016/j.atmosenv.2021.118920
46. Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al. 10.5194/acp-20-9491-2020
47. Interannual and Seasonal Variation of Optical and Microphysical Properties of Aerosol in the Baikal Region A. Dementeva et al. 10.3390/atmos13020211
48. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. 10.5194/acp-18-15261-2018
49. Threefold reduction of modeled uncertainty in direct radiative effects over biomass burning regions by constraining absorbing aerosols Q. Zhong et al. 10.1126/sciadv.adi3568
50. Changing nature of Saharan dust deposition in the Carpathian Basin (Central Europe): 40 years of identified North African dust events (1979–2018) G. Varga 10.1016/j.envint.2020.105712
51. Improved representation of the global dust cycle using observational constraints on dust properties and abundance J. Kok et al. 10.5194/acp-21-8127-2021
52. 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. 10.1029/2021JD035745
53. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
54. The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate T. Kuhlbrodt et al. 10.1029/2018MS001370
55. Soot, sulfate, dust and the climate — three ways through the fog J. Penner 10.1038/d41586-019-01791-6
56. Black carbon radiative effects highly sensitive to emitted particle size when resolving mixing-state diversity H. Matsui et al. 10.1038/s41467-018-05635-1
57. Effect of resolution on simulated teleconnections to winter North Atlantic circulation inferred from a causal network derived from expert elicitation D. Sexton et al. 10.1007/s00382-024-07497-4
58. A Dissection of the Inter‐Model Spread of the Aerosol Direct Radiative Effect in CMIP6 Models Q. Yu & Y. Huang 10.1029/2023GL105112
59. The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing J. Johnson et al. 10.5194/acp-18-13031-2018
60. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. 10.3390/atmos10080456
61. A global model–measurement evaluation of particle light scattering coefficients at elevated relative humidity M. Burgos et al. 10.5194/acp-20-10231-2020
62. The Fall and Rise of the Global Climate Model J. Mülmenstädt & L. Wilcox 10.1029/2021MS002781
63. Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. 10.5194/gmd-15-2881-2022
64. Are Changes in Atmospheric Circulation Important for Black Carbon Aerosol Impacts on Clouds, Precipitation, and Radiation? B. Johnson et al. 10.1029/2019JD030568
65. Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition N. Bellouin et al. 10.5194/essd-12-1649-2020
66. Opinion: The importance of historical and paleoclimate aerosol radiative effects N. Mahowald et al. 10.5194/acp-24-533-2024
67. Exploring How Eruption Source Parameters Affect Volcanic Radiative Forcing Using Statistical Emulation L. Marshall et al. 10.1029/2018JD028675
68. Dangerous trends of air pollution over Farafenni-Gambia using Fourteen Years Satellite data M. Emetere et al. 10.1016/j.promfg.2019.06.035