119 citations as recorded by crossref.

1. Using Ice Cores to Evaluate CMIP6 Aerosol Concentrations Over the Historical Era K. Moseid et al. 10.1029/2021JD036105
2. A novel approach to project future changes in meteorological factors affecting severe surface ozone over the Korean Peninsula under SSP scenarios D. Kim et al. 10.1007/s00704-024-05238-5
3. The impact of global changes in near-term climate forcers on East Africa’s climate R. Opio et al. 10.1186/s40068-023-00304-9
4. Vertical grid refinement for stratocumulus clouds in the radiation scheme of the global climate model ECHAM6.3-HAM2.3-P3 P. Pelucchi et al. 10.5194/gmd-14-5413-2021
5. Weakened interannual Tropical Atlantic variability in CMIP6 historical simulations L. Sobral Verona et al. 10.1007/s00382-023-06696-9
6. Random Forest Model-Based Inversion of Aerosol Vertical Profiles in China Using Orbiting Carbon Observatory-2 Oxygen A-Band Observations X. Zhou et al. 10.3390/rs16132497
7. Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
8. ICON-HAM-lite 1.0: simulating the Earth system with interactive aerosols at kilometer scales P. Weiss et al. 10.5194/gmd-18-3877-2025
9. 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
10. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al. 10.5194/acp-19-6821-2019
11. A pan-South-America assessment of avoided exposure to dangerous extreme precipitation by limiting to 1.5 °C warming S. Li et al. 10.1088/1748-9326/ab50a2
12. Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. 10.5194/acp-22-5775-2022
13. Impact of isolated atmospheric aging processes on the cloud condensation nuclei activation of soot particles F. Friebel et al. 10.5194/acp-19-15545-2019
14. Abrupt emission reduction during COVID-19 intensified the spring 2020 rainfall over India A. Asutosh et al. 10.3389/fenvs.2022.911363
15. The importance of the representation of air pollution emissions for the modeled distribution and radiative effects of black carbon in the Arctic J. Schacht et al. 10.5194/acp-19-11159-2019
16. Developing a Cloud Scheme With Prognostic Cloud Fraction and Two Moment Microphysics for ECHAM‐HAM S. Muench & U. Lohmann 10.1029/2019MS001824
17. Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. 10.1109/TGRS.2020.2972339
18. Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al. 10.1029/2021JD034615
19. Does prognostic seeding along flight tracks produce the desired effects of cirrus cloud thinning? C. Tully et al. 10.5194/acp-23-7673-2023
20. Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs X. Su et al. 10.1007/s13351-022-1202-7
21. Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6 C. Singh 10.1007/s00382-022-06323-z
22. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
23. Performance of the Taiwan Earth System Model in Simulating Climate Variability Compared With Observations and CMIP6 Model Simulations Y. Wang et al. 10.1029/2020MS002353
24. Analysis of the global atmospheric background sulfur budget in a multi-model framework C. Brodowsky et al. 10.5194/acp-24-5513-2024
25. A Global Climate Model Performance Atlas for the Southern Hemisphere Extratropics Based on Regional Atmospheric Circulation Patterns S. Brands et al. 10.1029/2023GL103531
26. A Modeling Perspective on the Lingering Glacial Sea Surface Temperature Conundrum S. Krätschmer et al. 10.1029/2022GL100378
27. Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. 10.5194/gmd-13-6383-2020
28. 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
29. A model study investigating the sensitivity of aerosol forcing to the volatilities of semi-volatile organic compounds M. Irfan et al. 10.5194/acp-24-8489-2024
30. Uncertain role of clouds in shaping summertime atmosphere-sea ice connections in reanalyses and CMIP6 models R. Luo et al. 10.1007/s00382-023-06785-9
31. Aerosol parameters for night sky brightness modelling estimated from daytime sky images M. Kocifaj et al. 10.1093/mnras/stad1570
32. The key role of atmospheric absorption in the Asian summer monsoon response to dust emissions in CMIP6 models A. Zhao et al. 10.5194/acp-24-13385-2024
33. AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations J. Gliß et al. 10.5194/acp-21-87-2021
34. A circulation-based performance atlas of the CMIP5 and 6 models for regional climate studies in the Northern Hemisphere mid-to-high latitudes S. Brands 10.5194/gmd-15-1375-2022
35. Effects of land use and anthropogenic aerosol emissions in the Roman Empire A. Gilgen et al. 10.5194/cp-15-1885-2019
36. Mei‐yu Front Assessment in CMIP6 Earth System Models During the East Asian Summer Monsoon K. Ng et al. 10.1002/joc.8810
37. Can global warming bring more dust? Y. Zhou et al. 10.1007/s00382-023-06706-w
38. Surface modulated dissociation of organic aerosol acids and bases in different atmospheric environments G. Sengupta & N. Prisle 10.1080/02786826.2024.2323641
39. Modelling emission and transport of key components of primary marine organic aerosol using the global aerosol–climate model ECHAM6.3–HAM2.3 A. Leon-Marcos et al. 10.5194/gmd-18-4183-2025
40. Evaluation of CMIP6 model simulations of PM2.5 and its components over China F. Ren et al. 10.5194/gmd-17-4821-2024
41. Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme H. Wan et al. 10.5194/gmd-17-1387-2024
42. Technical note: Parameterising cloud base updraft velocity of marine stratocumuli J. Ahola et al. 10.5194/acp-22-4523-2022
43. 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
44. 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
45. Comparison of particle number size distribution trends in ground measurements and climate models V. Leinonen et al. 10.5194/acp-22-12873-2022
46. Optimization of the sulfate aerosol hygroscopicity parameter in WRF-Chem A. Kim et al. 10.5194/gmd-14-259-2021
47. The outflow of Asian biomass burning carbonaceous aerosol into the upper troposphere and lower stratosphere in spring: radiative effects seen in a global model P. Chavan et al. 10.5194/acp-21-14371-2021
48. Evaluation of climate model aerosol trends with ground-based observations over the last 2 decades – an AeroCom and CMIP6 analysis A. Mortier et al. 10.5194/acp-20-13355-2020
49. Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions Q. Zhong et al. 10.1038/s41467-022-33680-4
50. High sensitivity of cloud formation to aerosol changes A. Virtanen et al. 10.1038/s41561-025-01662-y
51. Beijing Climate Center Earth System Model version 1 (BCC-ESM1): model description and evaluation of aerosol simulations T. Wu et al. 10.5194/gmd-13-977-2020
52. Assessing predicted cirrus ice properties between two deterministic ice formation parameterizations C. Tully et al. 10.5194/gmd-16-2957-2023
53. In situ constraints on the vertical distribution of global aerosol D. Watson-Parris et al. 10.5194/acp-19-11765-2019
54. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
55. Climate and air quality impacts due to mitigation of non-methane near-term climate forcers R. Allen et al. 10.5194/acp-20-9641-2020
56. How well are aerosol–cloud interactions represented in climate models? – Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption G. Jordan et al. 10.5194/acp-24-1939-2024
57. Building high accuracy emulators for scientific simulations with deep neural architecture search M. Kasim et al. 10.1088/2632-2153/ac3ffa
58. 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
59. Dependency of the impacts of geoengineering on the stratospheric sulfur injection strategy – Part 1: Intercomparison of modal and sectional aerosol modules A. Laakso et al. 10.5194/acp-22-93-2022
60. Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models A. Kalisoras et al. 10.5194/acp-24-7837-2024
61. Characterization of brown carbon absorption in different European environments through source contribution analysis H. Navarro-Barboza et al. 10.5194/acp-25-2667-2025
62. Aerosol absorption in global models from AeroCom phase III M. Sand et al. 10.5194/acp-21-15929-2021
63. Mixed-phase regime cloud thinning could help restore sea ice D. Villanueva et al. 10.1088/1748-9326/aca16d
64. Increasing aerosol emissions from boreal biomass burning exacerbate Arctic warming Q. Zhong et al. 10.1038/s41558-024-02176-y
65. 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
66. Constraining the Impact of Dust‐Driven Droplet Freezing on Climate Using Cloud‐Top‐Phase Observations D. Villanueva et al. 10.1029/2021GL092687
67. Tropospheric warming over the northern Indian Ocean caused by South Asian anthropogenic aerosols: possible impact on the upper troposphere and lower stratosphere S. Fadnavis et al. 10.5194/acp-22-7179-2022
68. Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation M. Bonazzola et al. 10.5194/gmd-16-1359-2023
69. Aerosol characteristics in CMIP6 models' global simulations and their evaluation with the satellite measurements J. Bharath et al. 10.1002/joc.8324
70. The Impact of CO2-Driven Climate Change on the Arctic Atmospheric Energy Budget in CMIP6 Climate Model Simulations O. Linke & J. Quaas 10.16993/tellusa.29
71. Evaluation of the simulated aerosol optical properties over India: COALESCE model inter-comparison of three GCMs with ground and satellite observations T. Sarkar et al. 10.1016/j.scitotenv.2022.158442
72. Atmospheric transport and deposition of cosmogenic 36Cl using ECHAM6.3-HAM2.3 model M. Zheng et al. 10.1016/j.epsl.2025.119494
73. 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
74. Air pollution reductions caused by the COVID-19 lockdown open up a way to preserve the Himalayan glaciers S. Fadnavis et al. 10.5194/acp-23-10439-2023
75. Climate-Driven Escalation of Global PM2.5 Health Burden from Wildland Fires Q. Zhong et al. 10.1021/acs.est.4c10320
76. The impact of COVID-19 lockdown measures on the Indian summer monsoon S. Fadnavis et al. 10.1088/1748-9326/ac109c
77. Amplified drying in South Asian summer monsoon precipitation due to anthropogenic sulfate aerosols S. Fadnavis et al. 10.1016/j.envpol.2023.123175
78. Tropical atlantic climate biases and DAMIP experiments: insights from CMIP6 models P. Silva et al. 10.1007/s00382-024-07253-8
79. Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model R. Herbert et al. 10.5194/acp-25-291-2025
80. The weakening AMOC under extreme climate change G. Madan et al. 10.1007/s00382-023-06957-7
81. 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
82. Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. 10.5194/gmd-15-3253-2022
83. Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. 10.5194/acp-24-5907-2024
84. Evaluation and Projection of Surface PM2.5 and Its Exposure on Population in Asia Based on the CMIP6 GCMs Y. Xu et al. 10.3390/ijerph191912092
85. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. 10.5194/acp-19-14585-2019
86. Characterization of organic aerosol across the global remote troposphere: a comparison of ATom measurements and global chemistry models A. Hodzic et al. 10.5194/acp-20-4607-2020
87. Simulating glacial dust changes in the Southern Hemisphere using ECHAM6.3-HAM2.3 S. Krätschmer et al. 10.5194/cp-18-67-2022
88. Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing M. Pöhlker et al. 10.1038/s41467-023-41695-8
89. Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al. 10.5194/bg-21-5321-2024
90. In-cloud scavenging scheme for sectional aerosol modules – implementation in the framework of the Sectional Aerosol module for Large Scale Applications version 2.0 (SALSA2.0) global aerosol module E. Holopainen et al. 10.5194/gmd-13-6215-2020
91. Understanding Top‐of‐Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear‐Sky Perspective W. Su et al. 10.1029/2021MS002584
92. How the extreme 2019–2020 Australian wildfires affected global circulation and adjustments F. Senf et al. 10.5194/acp-23-8939-2023
93. Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling T. Miinalainen et al. 10.5194/acp-23-3471-2023
94. Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100 J. Keeble et al. 10.5194/acp-21-5015-2021
95. Dependency of the impacts of geoengineering on the stratospheric sulfur injection strategy – Part 2: How changes in the hydrological cycle depend on the injection rate and model used A. Laakso et al. 10.5194/esd-15-405-2024
96. Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
97. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
98. Effects of black carbon mitigation on Arctic climate T. Kühn et al. 10.5194/acp-20-5527-2020
99. Insect Herbivory Caused Plant Stress Emissions Increases the Negative Radiative Forcing of Aerosols E. Holopainen et al. 10.1029/2022JD036733
100. Comparing the Radiative Forcings of the Anthropogenic Aerosol Emissions From Chile and Mexico T. Miinalainen et al. 10.1029/2020JD033364
101. The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing R. Digby et al. 10.5194/acp-25-3109-2025
102. Regional Features of Long-Term Exposure to PM2.5 Air Quality over Asia under SSP Scenarios Based on CMIP6 Models S. Shim et al. 10.3390/ijerph18136817
103. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
104. Modeling Atmospheric Transport of Cosmogenic Radionuclide 10Be Using GEOS‐Chem 14.1.1 and ECHAM6.3‐HAM2.3: Implications for Solar and Geomagnetic Reconstructions M. Zheng et al. 10.1029/2023GL106642
105. Future warming exacerbated by aged-soot effect on cloud formation U. Lohmann et al. 10.1038/s41561-020-0631-0
106. Impact of acidity and surface-modulated acid dissociation on cloud response to organic aerosol G. Sengupta et al. 10.5194/acp-24-1467-2024
107. Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
108. Long range transport of South and East Asian anthropogenic aerosols counteracting Arctic warming S. Fadnavis et al. 10.1038/s41612-024-00633-1
109. Important role of stratospheric injection height for the distribution and radiative forcing of smoke aerosol from the 2019–2020 Australian wildfires B. Heinold et al. 10.5194/acp-22-9969-2022
110. Biomass burning aerosols in most climate models are too absorbing H. Brown et al. 10.1038/s41467-020-20482-9
111. 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
112. The mobility diameter of soot determines its angular light scattering distribution G. Kelesidis et al. 10.1016/j.combustflame.2022.112476
113. Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation G. Fanourgakis et al. 10.5194/acp-19-8591-2019
114. Spatiotemporal Changes in Temperature and Precipitation in West Africa. Part I: Analysis with the CMIP6 Historical Dataset G. Quenum et al. 10.3390/w13243506
115. A perspective on iron (Fe) in the atmosphere: air quality, climate, and the ocean H. Al-Abadleh et al. 10.1039/D2EM00176D
116. Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. 10.1029/2021JD035483
117. SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. 10.5194/gmd-11-3833-2018
118. The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0 M. Schultz et al. 10.5194/gmd-11-1695-2018
119. Large-Scale Modeling of Absorbing Aerosols and Their Semi-Direct Effects I. Tegen & B. Heinold 10.3390/atmos9100380