688 citations as recorded by crossref.

1. Seasonal climatic effects and feedbacks of anthropogenic heat release due to global energy consumption with CAM5 B. Chen et al. https://doi.org/10.1007/s00382-018-4528-1
2. Advanced Two-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol–Cloud Interactions* A. Gettelman et al. https://doi.org/10.1175/JCLI-D-14-00103.1
3. Modelled black carbon radiative forcing and atmospheric lifetime in AeroCom Phase II constrained by aircraft observations B. Samset et al. https://doi.org/10.5194/acp-14-12465-2014
4. Potential impacts of future reduced aerosols on internal dynamics characteristics of precipitation based on model simulations over southern China Y. Lei et al. https://doi.org/10.1016/j.physa.2019.123808
5. A model-based assessment of the regional safe aerosol boundary for the South Asian monsoon region C. Neethu et al. https://doi.org/10.1088/1748-9326/ae2345
6. Enhanced land–sea warming contrast elevates aerosol pollution in a warmer world R. Allen et al. https://doi.org/10.1038/s41558-019-0401-4
7. Impacts of Global Solid Biofuel Stove Emissions on Ambient Air Quality and Human Health Y. Huang et al. https://doi.org/10.1029/2020GH000362
8. Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing R. Scanza et al. https://doi.org/10.5194/acp-15-537-2015
9. Description and evaluation of tropospheric chemistry and aerosols in the Community Earth System Model (CESM1.2) S. Tilmes et al. https://doi.org/10.5194/gmd-8-1395-2015
10. Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect H. Brown et al. https://doi.org/10.1029/2021MS002768
11. 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
12. Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. https://doi.org/10.1016/j.atmosenv.2018.07.016
13. Future changes in isoprene-epoxydiol-derived secondary organic aerosol (IEPOX SOA) under the Shared Socioeconomic Pathways: the importance of physicochemical dependency D. Jo et al. https://doi.org/10.5194/acp-21-3395-2021
14. The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models C. Wu et al. https://doi.org/10.5194/acp-20-10401-2020
15. Assessment of Madden–Julian oscillation simulations with various configurations of CESM X. Li et al. https://doi.org/10.1007/s00382-016-2991-0
16. Summertime low clouds mediate the impact of the large-scale circulation on Arctic sea ice Y. Huang et al. https://doi.org/10.1038/s43247-021-00114-w
17. Role of microphysical parameterizations with droplet relative dispersion in IAP AGCM 4.1 X. Xie et al. https://doi.org/10.1007/s00376-017-7083-5
18. Enhanced solar energy absorption by internally-mixed black carbon in snow grains M. Flanner et al. https://doi.org/10.5194/acp-12-4699-2012
19. Aviation impact on air quality present day and mid-century simulated in the Community Atmosphere Model (CAM) D. Phoenix et al. https://doi.org/10.1016/j.atmosenv.2018.10.005
20. Elucidating the Role of Anthropogenic Aerosols in Arctic Sea Ice Variations Y. Wang et al. https://doi.org/10.1175/JCLI-D-17-0287.1
21. Past and future direct radiative forcing of nitrate aerosol in East Asia J. Li et al. https://doi.org/10.1007/s00704-014-1249-1
22. Multi-year downscaling application of two-way coupled WRF v3.4 and CMAQ v5.0.2 over east Asia for regional climate and air quality modeling: model evaluation and aerosol direct effects C. Hong et al. https://doi.org/10.5194/gmd-10-2447-2017
23. Contrasting source contributions of Arctic black carbon to atmospheric concentrations, deposition flux, and atmospheric and snow radiative effects H. Matsui et al. https://doi.org/10.5194/acp-22-8989-2022
24. Increased Climate Response and Earth System Sensitivity From CCSM4 to CESM2 in Mid‐Pliocene Simulations R. Feng et al. https://doi.org/10.1029/2019MS002033
25. Incorporating an advanced aerosol activation parameterization into WRF‐CAM5: Model evaluation and parameterization intercomparison Y. Zhang et al. https://doi.org/10.1002/2014JD023051
26. Implementation of the sectional aerosol module SALSA2.0 into the PALM model system 6.0: model development and first evaluation M. Kurppa et al. https://doi.org/10.5194/gmd-12-1403-2019
27. Evaluations of tropospheric aerosol properties simulated by the community earth system model with a sectional aerosol microphysics scheme P. Yu et al. https://doi.org/10.1002/2014MS000421
28. Aviation NOx-induced CH4 effect: Fixed mixing ratio boundary conditions versus flux boundary conditions A. Khodayari et al. https://doi.org/10.1016/j.atmosenv.2015.04.070
29. Anthropogenic aerosol changes disproportionately impact the evolution of global heatwave hazard and exposure G. Persad et al. https://doi.org/10.1088/1748-9326/addee0
30. Stratospheric Dynamical Response and Ozone Feedbacks in the Presence of SO2 Injections J. Richter et al. https://doi.org/10.1002/2017JD026912
31. Statistical bias correction for CESM-simulated PM2.5 Q. Ran et al. https://doi.org/10.1088/2515-7620/acf917
32. Assessing the sensitivity of aerosol mass budget and effective radiative forcing to horizontal grid spacing in E3SMv1 using a regional refinement approach J. Li et al. https://doi.org/10.5194/gmd-17-1327-2024
33. Characterizing Changes in Eastern U.S. Pollution Events in a Warming World A. Fiore et al. https://doi.org/10.1029/2021JD035985
34. Accounting for dust aerosol size distribution in radiative transfer J. Li et al. https://doi.org/10.1002/2015JD023078
35. An observationally constrained estimate of global dust aerosol optical depth D. Ridley et al. https://doi.org/10.5194/acp-16-15097-2016
36. Stratospheric Response in the First Geoengineering Simulation Meeting Multiple Surface Climate Objectives J. Richter et al. https://doi.org/10.1029/2018JD028285
37. Understanding aerosol–cloud interactions using a single-column model for a cold-air outbreak case during the ACTIVATE campaign S. Tang et al. https://doi.org/10.5194/acp-24-10073-2024
38. Simulated radiative forcing from contrails and contrail cirrus C. Chen & A. Gettelman https://doi.org/10.5194/acp-13-12525-2013
39. Arctic warming from a high-latitude effusive volcanic eruption T. Zoëga et al. https://doi.org/10.1038/s41598-025-98811-5
40. Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6 M. Michou et al. https://doi.org/10.5194/gmd-8-501-2015
41. 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. https://doi.org/10.1002/2015JD023442
42. Simulating the influence of Madden Julian oscillation on the MAMJ intra-seasonal variations over West Africa M. Adeniyi & Z. Lin https://doi.org/10.1007/s00703-021-00849-3
43. Study on the Concentration of Top Air Pollutants in Xuzhou City in Winter 2020 Based on the WRF-Chem and ADMS-Urban Models W. Liu et al. https://doi.org/10.3390/atmos15010129
44. Sulfur emissions from consumption by developed and developing countries produce comparable climate impacts J. Lin et al. https://doi.org/10.1038/s41561-022-00898-2
45. Climate response to off-equatorial stratospheric sulfur injections in three Earth system models – Part 1: Experimental protocols and surface changes D. Visioni et al. https://doi.org/10.5194/acp-23-663-2023
46. Aerosol radiative forcings induced by substantial changes in anthropogenic emissions in China from 2008 to 2016 M. Liu & H. Matsui https://doi.org/10.5194/acp-21-5965-2021
47. Higher water loss on Earth-like exoplanets in eccentric orbits B. Liu et al. https://doi.org/10.1093/mnras/stad1828
48. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
49. Aerosol transport pathways and source attribution in China during the COVID-19 outbreak L. Ren et al. https://doi.org/10.5194/acp-21-15431-2021
50. 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. https://doi.org/10.5194/acp-13-10969-2013
51. Significant improvement of cloud representation in the global climate model MRI-ESM2 H. Kawai et al. https://doi.org/10.5194/gmd-12-2875-2019
52. Seasonally Modulated Stratospheric Aerosol Geoengineering Alters the Climate Outcomes D. Visioni et al. https://doi.org/10.1029/2020GL088337
53. Modeling the 1783–1784 Laki Eruption in Iceland: 2. Climate Impacts B. Zambri et al. https://doi.org/10.1029/2018JD029554
54. Model physics and chemistry causing intermodel disagreement within the VolMIP-Tambora Interactive Stratospheric Aerosol ensemble M. Clyne et al. https://doi.org/10.5194/acp-21-3317-2021
55. Fungal spores as a source of sodium salt particles in the Amazon basin S. China et al. https://doi.org/10.1038/s41467-018-07066-4
56. Modelling study on the source contribution to aerosol over the Tibetan Plateau M. Zhao et al. https://doi.org/10.1002/joc.7017
57. Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. https://doi.org/10.1029/2018RG000615
58. Lognormal mode dissociation method based on intrinsic characteristics of aerosol size distribution S. Chen et al. https://doi.org/10.1364/OE.531268
59. Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. https://doi.org/10.5194/acp-18-7669-2018
60. Quantifying aerosol mixing state with entropy and diversity measures N. Riemer & M. West https://doi.org/10.5194/acp-13-11423-2013
61. Impact of future climate policy scenarios on air quality and aerosol-cloud interactions using an advanced version of CESM/CAM5: Part I. model evaluation for the current decadal simulations T. Glotfelty et al. https://doi.org/10.1016/j.atmosenv.2016.12.035
62. Observational constraint of in-cloud supersaturation for simulations of aerosol rainout in atmospheric models N. Moteki et al. https://doi.org/10.1038/s41612-019-0063-y
63. First Simulations of Designing Stratospheric Sulfate Aerosol Geoengineering to Meet Multiple Simultaneous Climate Objectives B. Kravitz et al. https://doi.org/10.1002/2017JD026874
64. Global variability in atmospheric new particle formation mechanisms B. Zhao et al. https://doi.org/10.1038/s41586-024-07547-1
65. Nonlinear responses of the South Asian High to the Asian tropopause aerosol layer in summer Y. Song et al. https://doi.org/10.1038/s41612-025-01085-x
66. Effects of brown coatings on the absorption enhancement of black carbon: a numerical investigation J. Luo et al. https://doi.org/10.5194/acp-18-16897-2018
67. Regional and global temperature response to anthropogenic SO2 emissions from China in three climate models M. Kasoar et al. https://doi.org/10.5194/acp-16-9785-2016
68. High Potential of Asian Dust to Act as Ice Nucleating Particles in Mixed‐Phase Clouds Simulated With a Global Aerosol‐Climate Model K. Kawai et al. https://doi.org/10.1029/2020JD034263
69. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations C. Chen et al. https://doi.org/10.5194/acp-19-14585-2019
70. Economic Shock in a Climate Scenario and Its Impact on Surface Temperatures Q. Ran et al. https://doi.org/10.1029/2021EF002061
71. Cloud Phase Simulation at High Latitudes in EAMv2: Evaluation Using CALIPSO Observations and Comparison With EAMv1 M. Zhang et al. https://doi.org/10.1029/2022JD037100
72. Sensitivity of aerosol optical properties to the aerosol size distribution over central Europe and the Mediterranean Basin using the WRF-Chem v.3.9.1.1 coupled model L. Palacios-Peña et al. https://doi.org/10.5194/gmd-13-5897-2020
73. Particle Size as a Key Driver of Black Carbon Wet Removal: Advances and Insights Y. Qiao et al. https://doi.org/10.3390/atmos16111309
74. Impacts of Saharan Dust on Atlantic Regional Climate and Implications for Tropical Cyclones B. Pan et al. https://doi.org/10.1175/JCLI-D-16-0776.1
75. Primary and secondary ice production: interactions and their relative importance X. Zhao & X. Liu https://doi.org/10.5194/acp-22-2585-2022
76. On the Correspondence between Short- and Long-Time-Scale Systematic Errors in CAM4/CAM5 for the Year of Tropical Convection S. Xie et al. https://doi.org/10.1175/JCLI-D-12-00134.1
77. Numerical study of the effect of anthropogenic aerosols on spring persistent rain over Eastern China J. Deng et al. https://doi.org/10.1007/s13351-014-3198-0
78. Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM) C. Parworth et al. https://doi.org/10.1016/j.atmosenv.2015.01.060
79. Multi-year application of WRF-CAM5 over East Asia-Part I: Comprehensive evaluation and formation regimes of O3 and PM2.5 J. He et al. https://doi.org/10.1016/j.atmosenv.2017.06.015
80. Climate Change Projections in CESM1(CAM5) Compared to CCSM4 G. Meehl et al. https://doi.org/10.1175/JCLI-D-12-00572.1
81. Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization S. Xie et al. https://doi.org/10.1175/JCLI-D-12-00517.1
82. Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis V. Buchard et al. https://doi.org/10.5194/acp-15-5743-2015
83. Diagnostic evaluation of the Community Earth System Model in simulating mineral dust emission with insight into large-scale dust storm mobilization in the Middle East and North Africa (MENA) S. Parajuli et al. https://doi.org/10.1016/j.aeolia.2016.02.002
84. Enhanced atmospheric pollution due to the Uttarakhand fire event of April 2016 and its radiative impact D. Lawand et al. https://doi.org/10.1007/s11869-022-01234-8
85. Marine cloud brightening mitigates the warming induced by the aerosol reductions toward carbon neutrality Y. Yu et al. https://doi.org/10.1038/s43247-026-03304-6
86. Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects S. Lou et al. https://doi.org/10.5194/acp-25-8163-2025
87. Impact of moisture divergence on systematic errors in precipitation around the Tibetan Plateau in a general circulation model Y. Zhang & J. Li https://doi.org/10.1007/s00382-016-3005-y
88. Radiative effects of interannually varying vs. interannually invariant aerosol emissions from fires B. Grandey et al. https://doi.org/10.5194/acp-16-14495-2016
89. What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II Z. Kipling et al. https://doi.org/10.5194/acp-16-2221-2016
90. Source Apportionments of Aerosols and Their Direct Radiative Forcing and Long‐Term Trends Over Continental United States Y. Yang et al. https://doi.org/10.1029/2018EF000859
91. Evaluation of the performance of IAP-AGCM4.1 in simulating the climate of West Africa M. Adeniyi et al. https://doi.org/10.1007/s00704-018-2571-9
92. Evidence of Strong Contributions From Mixed‐Phase Clouds to Arctic Climate Change I. Tan & T. Storelvmo https://doi.org/10.1029/2018GL081871
93. A multiscale modeling framework model (superparameterized CAM5) with a higher‐order turbulence closure: Model description and low‐cloud simulations M. Wang et al. https://doi.org/10.1002/2014MS000375
94. Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States V. Buchard et al. https://doi.org/10.1016/j.atmosenv.2015.11.004
95. Evaluating the Bias of South China Sea Summer Monsoon Precipitation Associated with Fast Physical Processes Using a Climate Model Hindcast Approach W. Chen et al. https://doi.org/10.1175/JCLI-D-18-0660.1
96. Modeling East Asian Dust and Its Radiative Feedbacks in CAM4‐BAM X. Xie et al. https://doi.org/10.1002/2017JD027343
97. NeuralMie (v1.0): an aerosol optics emulator A. Geiss & P. Ma https://doi.org/10.5194/gmd-18-1809-2025
98. Evaluating clouds, aerosols, and their interactions in three global climate models using satellite simulators and observations G. Ban-Weiss et al. https://doi.org/10.1002/2014JD021722
99. Beijing Climate Center Earth System Model version 1 (BCC-ESM1): model description and evaluation of aerosol simulations T. Wu et al. https://doi.org/10.5194/gmd-13-977-2020
100. Effects of Localized Grid Refinement on the General Circulation and Climatology in the Community Atmosphere Model C. Zarzycki et al. https://doi.org/10.1175/JCLI-D-14-00599.1
101. Development and Evaluation of E3SM‐MOSAIC: Spatial Distributions and Radiative Effects of Nitrate Aerosol M. Wu et al. https://doi.org/10.1029/2022MS003157
102. Modelling stratospheric composition for the Copernicus Atmosphere Monitoring Service: multi-species evaluation of IFS-COMPO Cy49 S. Chabrillat et al. https://doi.org/10.5194/gmd-18-8973-2025
103. Modeling the Air Pollution and Aerosol‐PBL Interactions Over China Using a Variable‐Resolution Global Model M. Yue et al. https://doi.org/10.1029/2023JD039130
104. Different contact angle distributions for heterogeneous ice nucleation in the Community Atmospheric Model version 5 Y. Wang et al. https://doi.org/10.5194/acp-14-10411-2014
105. Ambient aerosol properties in the remote atmosphere from global-scale in situ measurements C. Brock et al. https://doi.org/10.5194/acp-21-15023-2021
106. Radiative and Chemical Response to Interactive Stratospheric Sulfate Aerosols in Fully Coupled CESM1(WACCM) M. Mills et al. https://doi.org/10.1002/2017JD027006
107. Roles of atmospheric physics and model resolution in the simulation of two types of El Niño Z. Yao et al. https://doi.org/10.1016/j.ocemod.2019.101468
108. Speleothems of South American and Asian Monsoons Influenced by a Green Sahara C. Tabor et al. https://doi.org/10.1029/2020GL089695
109. Understanding the Roles of Convective Trigger Functions in the Diurnal Cycle of Precipitation in the NCAR CAM5 Z. Cui et al. https://doi.org/10.1175/JCLI-D-20-0699.1
110. A numerical study of the effect of different aerosol types on East Asian summer clouds and precipitation Y. Jiang et al. https://doi.org/10.1016/j.atmosenv.2012.12.039
111. 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
112. Atmospheric rivers impacting western North America in a world with climate intervention C. Shields et al. https://doi.org/10.1038/s41612-022-00260-8
113. Dependence of CCN closure relationship with organic fraction from two airborne field campaigns over mid-latitude land and ocean G. Ai et al. https://doi.org/10.5194/acp-26-7967-2026
114. Larger Cloud Liquid Water Enhances Both Aerosol Indirect Forcing and Cloud Radiative Feedback in Two Earth System Models X. Zhao et al. https://doi.org/10.1029/2023GL105529
115. Data-driven emulation of modal aerosol microphysics via neural operator-based modeling Z. Bai & D. Rouson https://doi.org/10.1038/s41598-025-33209-x
116. Black carbon vertical profiles strongly affect its radiative forcing uncertainty B. Samset et al. https://doi.org/10.5194/acp-13-2423-2013
117. 100 Years of Earth System Model Development D. Randall et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0018.1
118. Does Marine Surface Tension Have Global Biogeography? Addition for the OCEANFILMS Package S. Elliott et al. https://doi.org/10.3390/atmos9060216
119. Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. https://doi.org/10.1029/2018JD029204
120. Modeling the 1783–1784 Laki Eruption in Iceland: 1. Aerosol Evolution and Global Stratospheric Circulation Impacts B. Zambri et al. https://doi.org/10.1029/2018JD029553
121. An improved dust emission model – Part 2: Evaluation in the Community Earth System Model, with implications for the use of dust source functions J. Kok et al. https://doi.org/10.5194/acp-14-13043-2014
122. Sulfate Aerosol in the Arctic: Source Attribution and Radiative Forcing Y. Yang et al. https://doi.org/10.1002/2017JD027298
123. Droplet activation parameterization: the population-splitting concept revisited R. Morales Betancourt & A. Nenes https://doi.org/10.5194/gmd-7-2345-2014
124. Significant Effective Radiative Forcing of Stratospheric Wildfire Smoke C. Liu et al. https://doi.org/10.1029/2022GL100175
125. Scenario dependence of future changes in climate extremes under 1.5 °C and 2 °C global warming Z. Wang et al. https://doi.org/10.1038/srep46432
126. Global modeling studies of composition and decadal trends of the Asian Tropopause Aerosol Layer A. Bossolasco et al. https://doi.org/10.5194/acp-21-2745-2021
127. Incorporation of new particle formation and early growth treatments into WRF/Chem: Model improvement, evaluation, and impacts of anthropogenic aerosols over East Asia C. Cai et al. https://doi.org/10.1016/j.atmosenv.2015.05.046
128. Evaluating BC Aging Processes in the Community Atmosphere Model Version 6 (CAM6) W. Shen et al. https://doi.org/10.1029/2022JD037427
129. Effects of Horizontal Resolution on Hourly Precipitation in AGCM Simulations X. Kong et al. https://doi.org/10.1175/JHM-D-19-0148.1
130. Global transformation and fate of SOA: Implications of low‐volatility SOA and gas‐phase fragmentation reactions M. Shrivastava et al. https://doi.org/10.1002/2014JD022563
131. Global long-range transport and lung cancer risk from polycyclic aromatic hydrocarbons shielded by coatings of organic aerosol M. Shrivastava et al. https://doi.org/10.1073/pnas.1618475114
132. Fast Climate Responses to Aerosol Emission Reductions During the COVID‐19 Pandemic Y. Yang et al. https://doi.org/10.1029/2020GL089788
133. Observational constraints on mixed-phase clouds imply higher climate sensitivity I. Tan et al. https://doi.org/10.1126/science.aad5300
134. Impacts of Amazon Fire Aerosols on the Subseasonal Circulations of the Mid-High Latitudes Y. Zhou et al. https://doi.org/10.3389/feart.2021.609554
135. Mineral dust optical properties for remote sensing and global modeling: A review P. Castellanos et al. https://doi.org/10.1016/j.rse.2023.113982
136. Toward a Minimal Representation of Aerosols in Climate Models: Comparative Decomposition of Aerosol Direct, Semidirect, and Indirect Radiative Forcing S. Ghan et al. https://doi.org/10.1175/JCLI-D-11-00650.1
137. Features of mid- and high-latitude low-level clouds and their relation to strong aerosol effects in the Energy Exascale Earth System Model version 2 (E3SMv2) H. Wan et al. https://doi.org/10.5194/gmd-18-5655-2025
138. Detection of limit cycle signatures of El Niño in models and observations using reservoir computing F. Guardamagna et al. https://doi.org/10.1088/2632-072X/ad2699
139. Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model R. Schwantes et al. https://doi.org/10.1029/2021MS002889
140. Exploring a Variable‐Resolution Approach for Simulating Regional Climate in the Rocky Mountain Region Using the VR‐CESM C. Wu et al. https://doi.org/10.1002/2017JD027008
141. A new simplified parameterization of secondary organic aerosol in the Community Earth System Model Version 2 (CESM2; CAM6.3) D. Jo et al. https://doi.org/10.5194/gmd-16-3893-2023
142. Consistent response of Indian summer monsoon to Middle East dust in observations and simulations Q. Jin et al. https://doi.org/10.5194/acp-15-9897-2015
143. The role of carbonaceous aerosols on short‐term variations of precipitation over North Africa J. Yoon et al. https://doi.org/10.1002/asl.672
144. The Climate Response to Stratospheric Aerosol Geoengineering Can Be Tailored Using Multiple Injection Locations D. MacMartin et al. https://doi.org/10.1002/2017JD026868
145. Comparing Surface and Stratospheric Impacts of Geoengineering With Different SO2 Injection Strategies B. Kravitz et al. https://doi.org/10.1029/2019JD030329
146. Remote Aerosol Simulated During the Atmospheric Tomography (ATom) Campaign and Implications for Aerosol Lifetime C. Gao et al. https://doi.org/10.1029/2022JD036524
147. Aerosol uncertainties in tropical precipitation changes for the mid-Pliocene warm period A. Zhao et al. https://doi.org/10.5194/cp-20-1195-2024
148. Development of a triple-moment ice-phase cloud microphysics scheme and its application to the Single Column Atmosphere Model X. He et al. https://doi.org/10.1360/TB-2022-0697
149. Design and simulation of a logistically constrained high-latitude, low-altitude stratospheric aerosol injection scenario in the Energy Exascale Earth System Model (E3SM) L. Wheeler et al. https://doi.org/10.1088/1748-9326/adba01
150. Secondary Organic Aerosol Formation Regulates Cloud Condensation Nuclei in the Global Remote Troposphere M. Liu & H. Matsui https://doi.org/10.1029/2022GL100543
151. Assessing the climate impact of an improved volcanic sulfate aerosol representation in E3SM Z. Ke et al. https://doi.org/10.5194/gmd-18-4137-2025
152. What controls the low ice number concentration in the upper troposphere? C. Zhou et al. https://doi.org/10.5194/acp-16-12411-2016
153. Aerosol specification in single-column Community Atmosphere Model version 5 B. Lebassi-Habtezion & P. Caldwell https://doi.org/10.5194/gmd-8-817-2015
154. A new and inexpensive non-bit-for-bit solution reproducibility test based on time step convergence (TSC1.0) H. Wan et al. https://doi.org/10.5194/gmd-10-537-2017
155. Timescale for Detecting the Climate Response to Stratospheric Aerosol Geoengineering D. MacMartin et al. https://doi.org/10.1029/2018JD028906
156. Global Importance of Secondary Ice Production X. Zhao & X. Liu https://doi.org/10.1029/2021GL092581
157. 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. https://doi.org/10.1088/1748-9326/8/2/024042
158. Model representations of aerosol layers transported from North America over the Atlantic Ocean during the Two‐Column Aerosol Project J. Fast et al. https://doi.org/10.1002/2016JD025248
159. The Direct Radiative Forcing Impact of Agriculture‐Emitted Black Carbon Associated With India's Green Revolution X. Liu et al. https://doi.org/10.1029/2021EF001975
160. Climate Forcing and Response to Greenhouse Gases, Aerosols, and Ozone in CESM1 A. Zhao et al. https://doi.org/10.1029/2019JD030769
161. The Balance Between Heterogeneous and Homogeneous Nucleation of Ice Clouds Using CAM5/CARMA C. Maloney et al. https://doi.org/10.1029/2021JD035540
162. Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. https://doi.org/10.5194/acp-22-9265-2022
163. CESM/CAM5 improvement and application: comparison and evaluation of updated CB05_GE and MOZART-4 gas-phase mechanisms and associated impacts on global air quality and climate J. He et al. https://doi.org/10.5194/gmd-8-3999-2015
164. 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
165. Multi-model comparison of the volcanic sulfate deposition from the 1815 eruption of Mt. Tambora L. Marshall et al. https://doi.org/10.5194/acp-18-2307-2018
166. Enhanced simulated early 21st century Arctic sea ice loss due to CMIP6 biomass burning emissions P. DeRepentigny et al. https://doi.org/10.1126/sciadv.abo2405
167. 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
168. Future aerosol reductions and widening of the northern tropical belt R. Allen & O. Ajoku https://doi.org/10.1002/2016JD024803
169. E3SMv0‐HiLAT: A Modified Climate System Model Targeted for the Study of High‐Latitude Processes M. Hecht et al. https://doi.org/10.1029/2018MS001524
170. Aerosol forcing based on CAM5 and AM3 meteorological fields C. Zhou et al. https://doi.org/10.5194/acp-12-9629-2012
171. Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study C. Whaley et al. https://doi.org/10.5194/acp-22-5775-2022
172. Impact of West Asia, Tibetan Plateau and local dust emissions on intra-seasonal oscillations of the South Asian monsoon rainfall C. Singh et al. https://doi.org/10.1007/s00382-019-04944-5
173. Nonlinear influence of coexisting CO2 and anthropogenic aerosols on East Asian summer precipitation through a mid-high-latitude pathway J. Deng https://doi.org/10.1088/1748-9326/ae20a8
174. Enhanced marine sulphur emissions offset global warming and impact rainfall B. Grandey & C. Wang https://doi.org/10.1038/srep13055
175. Radiative and thermodynamic responses to aerosol extinction profiles during the pre-monsoon month over South Asia Y. Feng et al. https://doi.org/10.5194/acp-16-247-2016
176. Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor https://doi.org/10.1029/2019JD031137
177. Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. https://doi.org/10.5194/acp-17-4731-2017
178. Modulated Responses of East Asian Winter Climate to Anthropogenic Aerosols by Urban Cover in Eastern China J. Deng et al. https://doi.org/10.3390/atmos12040471
179. Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres M. Zhang et al. https://doi.org/10.1029/2022JD038364
180. Research on the distribution and influencing factors of fine mode aerosol optical depth (AODf) in China H. Xu et al. https://doi.org/10.1016/j.atmosenv.2024.120721
181. Distinct response of atmospheric water cycle in China drylands J. Gao¹ et al. https://doi.org/10.1007/s00704-024-05016-3
182. Critical role of amines in new particle formation under sea-land-atmosphere interactions: A modeling study in the interior North China Plain Q. Zhang et al. https://doi.org/10.1525/elementa.2025.00076
183. Evaluation on the Vertical Distribution of Liquid and Ice Phase Cloud Fraction in Community Atmosphere Model Version 5.3 using Spaceborne Lidar Observations Z. Guo et al. https://doi.org/10.1029/2019EA001029
184. The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics H. Ahsan et al. https://doi.org/10.5194/acp-23-14779-2023
185. Dependence of the Ice Water Content and Snowfall Rate on Temperature, Globally: Comparison of in Situ Observations, Satellite Active Remote Sensing Retrievals, and Global Climate Model Simulations A. Heymsfield et al. https://doi.org/10.1175/JAMC-D-16-0230.1
186. Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model T. Hassan et al. https://doi.org/10.5194/gmd-17-3507-2024
187. Initial atmospheric conditions control transport of volcanic volatiles, forcing and impacts Z. Zhuo et al. https://doi.org/10.5194/acp-24-6233-2024
188. H2SO4–H2O binary and H2SO4–H2O–NH3 ternary homogeneous and ion-mediated nucleation: lookup tables version 1.0 for 3-D modeling application F. Yu et al. https://doi.org/10.5194/gmd-13-2663-2020
189. Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model H. Wang et al. https://doi.org/10.3390/atmos11101115
190. Distinct roles of land cover in regulating spatial variabilities of temperature responses to radiative effects of aerosols and clouds L. Wei et al. https://doi.org/10.1088/1748-9326/ac3f04
191. The path to CAM6: coupled simulations with CAM5.4 and CAM5.5 P. Bogenschutz et al. https://doi.org/10.5194/gmd-11-235-2018
192. Quantifying snow darkening and atmospheric radiative effects of black carbon and dust on the South Asian monsoon and hydrological cycle: experiments using variable-resolution CESM S. Rahimi et al. https://doi.org/10.5194/acp-19-12025-2019
193. Rain‐aerosol relationships influenced by wind speed Y. Yang et al. https://doi.org/10.1002/2016GL067770
194. Large Contribution of Coarse Mode to Aerosol Microphysical and Optical Properties: Evidence from Ground-Based Observations of a Transpacific Dust Outbreak at a High-Elevation North American Site E. Kassianov et al. https://doi.org/10.1175/JAS-D-16-0256.1
195. Climate characteristics of dust aerosol and its transport in major global dust source regions J. Xiong et al. https://doi.org/10.1016/j.jastp.2020.105415
196. Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations G. Myhre et al. https://doi.org/10.5194/acp-13-1853-2013
197. Comparing CAM5 and Superparameterized CAM5 Simulations of Summer Precipitation Characteristics over Continental East Asia: Mean State, Frequency–Intensity Relationship, Diurnal Cycle, and Influencing Factors Y. Zhang & H. Chen https://doi.org/10.1175/JCLI-D-15-0342.1
198. Trends in vertical wind velocity variability reveal cloud microphysical feedback D. Barahona et al. https://doi.org/10.1038/s41467-025-67541-7
199. The Role of Anthropogenic Aerosol Forcing in Interdecadal Variations of Summertime Upper‐Tropospheric Temperature Over East Asia Z. Wang et al. https://doi.org/10.1029/2018EF001052
200. Black carbon in the Arctic: the underestimated role of gas flaring and residential combustion emissions A. Stohl et al. https://doi.org/10.5194/acp-13-8833-2013
201. The AeroCom evaluation and intercomparison of organic aerosol in global models K. Tsigaridis et al. https://doi.org/10.5194/acp-14-10845-2014
202. Interannual modulation of subtropical Atlantic boreal summer dust variability by ENSO M. DeFlorio et al. https://doi.org/10.1007/s00382-015-2600-7
203. Observed high-altitude warming and snow cover retreat over Tibet and the Himalayas enhanced by black carbon aerosols Y. Xu et al. https://doi.org/10.5194/acp-16-1303-2016
204. Quantifying Emerging Local Anthropogenic Emissions in the Arctic Region: The ACCESS Aircraft Campaign Experiment A. Roiger et al. https://doi.org/10.1175/BAMS-D-13-00169.1
205. Differences in the quasi-biennial oscillation response to stratospheric aerosol modification depending on injection strategy and species H. Franke et al. https://doi.org/10.5194/acp-21-8615-2021
206. Double Trouble of Air Pollution by Anthropogenic Dust W. Xia et al. https://doi.org/10.1021/acs.est.1c04779
207. The Influence of Dynamics and Emissions Changes on China’s Wintertime Haze P. Sherman et al. https://doi.org/10.1175/JAMC-D-19-0035.1
208. The response of US summer rainfall to quadrupled CO2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model G. Kooperman et al. https://doi.org/10.1002/2014MS000306
209. Contributions of Asian pollution and SST forcings on precipitation change in the North Pacific S. Yeh et al. https://doi.org/10.1016/j.atmosres.2017.03.014
210. Ice nucleation of bare and sulfuric acid‐coated mineral dust particles and implication for cloud properties G. Kulkarni et al. https://doi.org/10.1002/2014JD021567
211. Source attribution of Arctic black carbon and sulfate aerosols and associated Arctic surface warming during 1980–2018 L. Ren et al. https://doi.org/10.5194/acp-20-9067-2020
212. Using regime analysis to identify the contribution of clouds to surface temperature errors in weather and climate models K. Van Weverberg et al. https://doi.org/10.1002/qj.2603
213. Quantifying the Role of Model Internal Year-to-Year Variability in Estimating Anthropogenic Aerosol Radiative Effects X. Shi & Y. Zeng https://doi.org/10.3390/atmos15010079
214. Testing the sensitivity of past climates to the indirect effects of dust N. Sagoo & T. Storelvmo https://doi.org/10.1002/2017GL072584
215. Representation of iron aerosol size distributions of anthropogenic emissions is critical in evaluating atmospheric soluble iron input to the ocean M. Liu et al. https://doi.org/10.5194/acp-24-13115-2024
216. Effects of anthropogenic aerosols on the evolution of Indian summer monsoon K. Huang et al. https://doi.org/10.1007/s44195-023-00041-7
217. Evaluation of the aerosol vertical distribution in global aerosol models through comparison against CALIOP measurements: AeroCom phase II results B. Koffi et al. https://doi.org/10.1002/2015JD024639
218. Climate Forcing and Trends of Organic Aerosols in the Community Earth System Model (CESM2) S. Tilmes et al. https://doi.org/10.1029/2019MS001827
219. Patterns and Mechanisms of Northeast Pacific Temperature Response to Pliocene Boundary Conditions P. Brennan et al. https://doi.org/10.1029/2021PA004370
220. Comparing multi-model ensemble simulations with observations and decadal projections of upper atmospheric variations following the Hunga eruption Z. Zhuo et al. https://doi.org/10.5194/acp-25-13161-2025
221. DMS role in ENSO cycle in the tropics L. Xu et al. https://doi.org/10.1002/2016JD025333
222. Unified parameterization of the planetary boundary layer and shallow convection with a higher-order turbulence closure in the Community Atmosphere Model: single-column experiments P. Bogenschutz et al. https://doi.org/10.5194/gmd-5-1407-2012
223. Global Mean Climate and Main Patterns of Variability in the CMCC‐CM2 Coupled Model A. Cherchi et al. https://doi.org/10.1029/2018MS001369
224. Hunga Tonga–Hunga Ha′apai Volcano Impact Model Observation Comparison (HTHH-MOC) project: experiment protocol and model descriptions Y. Zhu et al. https://doi.org/10.5194/gmd-18-5487-2025
225. Temporal evolution of aerosols and their extreme events in polluted Asian regions during Terra's 20-year observations Z. Hu et al. https://doi.org/10.1016/j.rse.2021.112541
226. Meteorology-driven PM2.5 interannual variability over East Asia C. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.166911
227. Potential climate forcing of land use and land cover change D. Ward et al. https://doi.org/10.5194/acp-14-12701-2014
228. Ocean mediation of tropospheric response to reflecting and absorbing aerosols Y. Xu & S. Xie https://doi.org/10.5194/acp-15-5827-2015
229. CMCCCCESMMNEMO: Toward the New CMCC Earth System Model P. Fogli & D. Iovino https://doi.org/10.2139/ssrn.2603176
230. Seasonality in anthropogenic aerosol effects on East Asian climate simulated with CAM5 Y. Jiang et al. https://doi.org/10.1002/2015JD023451
231. Global energy and water balance: Characteristics from Finite‐volume Atmospheric Model of the IAP/LASG (FAMIL1) L. Zhou et al. https://doi.org/10.1002/2014MS000349
232. Exploring a Variable‐Resolution Approach for Simulating Regional Climate Over the Tibetan Plateau Using VR‐CESM S. Rahimi et al. https://doi.org/10.1029/2018JD028925
233. Assessing the CAM5 physics suite in the WRF-Chem model: implementation, resolution sensitivity, and a first evaluation for a regional case study P. Ma et al. https://doi.org/10.5194/gmd-7-755-2014
234. To what extent can cirrus cloud seeding counteract global warming? B. Gasparini et al. https://doi.org/10.1088/1748-9326/ab71a3
235. Improved Low-Cloud Simulation from the Community Atmosphere Model with an Advanced Third-Order Turbulence Closure A. Cheng & K. Xu https://doi.org/10.1175/JCLI-D-14-00776.1
236. Simulation of the effects of sea‐salt aerosols on cloud ice and precipitation of a tropical cyclone B. Jiang et al. https://doi.org/10.1002/asl.936
237. Impacts of Wildfire Aerosols on Global Energy Budget and Climate: The Role of Climate Feedbacks Y. Jiang et al. https://doi.org/10.1175/JCLI-D-19-0572.1
238. Improvement and Uncertainties of Global Simulation of Sulfate Concentration and Radiative Forcing in CESM2 W. Ge et al. https://doi.org/10.1029/2022JD037623
239. Impacts of absorbing aerosol deposition on snowpack and hydrologic cycle in the Rocky Mountain region based on variable-resolution CESM (VR-CESM) simulations C. Wu et al. https://doi.org/10.5194/acp-18-511-2018
240. Development and Evaluation of an Explicit Treatment of Aerosol Processes at Cloud Scale Within a Multi‐Scale Modeling Framework (MMF) G. Lin et al. https://doi.org/10.1029/2018MS001287
241. Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model K. Sakaguchi et al. https://doi.org/10.5194/gmd-16-3029-2023
242. Biomass-burning smoke's properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns C. Howes et al. https://doi.org/10.5194/acp-23-13911-2023
243. CAM6 simulation of mean and extreme precipitation over Asia: sensitivity to upgraded physical parameterizations and higher horizontal resolution L. Lin et al. https://doi.org/10.5194/gmd-12-3773-2019
244. Anthropogenic aerosols can shape the winter mid-latitude cyclone tracks D. Cao et al. https://doi.org/10.1038/s41612-026-01377-w
245. Evaluation of ACCMIP simulated fine-mode AOD and its implication for aerosol direct forcing H. Park et al. https://doi.org/10.1007/s13143-014-0025-6
246. Reduction in autumn precipitation over Southwest China by anthropogenic aerosol emissions from eastern China F. Huo et al. https://doi.org/10.1016/j.atmosres.2021.105627
247. The changing radiative forcing of fires: global model estimates for past, present and future D. Ward et al. https://doi.org/10.5194/acp-12-10857-2012
248. Evaluation of the Atmospheric Boundary-Layer Electrical Variability S. Anisimov et al. https://doi.org/10.1007/s10546-017-0328-0
249. A three‐dimensional sectional representation of aerosol mixing state for simulating optical properties and cloud condensation nuclei J. Ching et al. https://doi.org/10.1002/2015JD024323
250. Implementing and Improving CBMZ-MAM3 Chemistry and Aerosol Modules in the Regional Climate Model WRF-CAM5: An Evaluation over the Western US and Eastern North Pacific X. Wu et al. https://doi.org/10.3390/atmos14071122
251. Polar clouds and radiation in satellite observations, reanalyses, and climate models J. Lenaerts et al. https://doi.org/10.1002/2016GL072242
252. Global Climate and Human Health Effects of the Gasoline and Diesel Vehicle Fleets Y. Huang et al. https://doi.org/10.1029/2019GH000240
253. Unexpected Changes of Aerosol Burdens With Decreased Convection in the Context of Scale‐Aware Convection Schemes W. Xia et al. https://doi.org/10.1029/2022GL099008
254. Global Wildfire Plume‐Rise Data Set and Parameterizations for Climate Model Applications Z. Ke et al. https://doi.org/10.1029/2020JD033085
255. Differing responses of the quasi-biennial oscillation to artificial SO2 injections in two global models U. Niemeier et al. https://doi.org/10.5194/acp-20-8975-2020
256. Quantifying the Efficiency of Stratospheric Aerosol Geoengineering at Different Altitudes W. Lee et al. https://doi.org/10.1029/2023GL104417
257. Modal Bin Hybrid Model: A surface area consistent, triple‐moment sectional method for use in process‐oriented modeling of atmospheric aerosols M. Kajino et al. https://doi.org/10.1002/jgrd.50685
258. Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM H. Wan et al. https://doi.org/10.5194/gmd-6-861-2013
259. Response of the global surface ozone distribution to Northern Hemisphere sea surface temperature changes: implications for long-range transport K. Yi et al. https://doi.org/10.5194/acp-17-8771-2017
260. 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
261. Dust-wind interactions can intensify aerosol pollution over eastern China Y. Yang et al. https://doi.org/10.1038/ncomms15333
262. Black carbon-climate interactions regulate dust burdens over India revealed during COVID-19 L. Wei et al. https://doi.org/10.1038/s41467-022-29468-1
263. Impact of Dust-Cloud-Radiation-Precipitation Dynamical Feedback on Subseasonal-to-Seasonal Variability of the Asian Summer Monsoon in Global Variable-Resolution Simulations With MPAS-CAM5 W. Lau et al. https://doi.org/10.3389/feart.2020.00226
264. Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. https://doi.org/10.1029/2023JD038581
265. Community Integrated Earth System Model (CIESM): Description and Evaluation Y. Lin et al. https://doi.org/10.1029/2019MS002036
266. Exploring the impacts of physics and resolution on aqua‐planet simulations from a nonhydrostatic global variable‐resolution modeling framework C. Zhao et al. https://doi.org/10.1002/2016MS000727
267. Development of CAS-ESM_MMF: improving East Asian summer precipitation simulation with a Multiscale Modeling Framework G. Lin et al. https://doi.org/10.5194/gmd-19-327-2026
268. Effects of sulfate aerosol forcing on East Asian summer monsoon for 1985–2010 M. Kim et al. https://doi.org/10.1002/2015GL067124
269. Expanding the design space of stratospheric aerosol geoengineering to include precipitation-based objectives and explore trade-offs W. Lee et al. https://doi.org/10.5194/esd-11-1051-2020
270. Black carbon mixing state impacts on cloud microphysical properties: Effects of aerosol plume and environmental conditions J. Ching et al. https://doi.org/10.1002/2016JD024851
271. Aerosol absorption optical depth of fine-mode mineral dust in eastern China T. Zhang & H. Liao https://doi.org/10.1080/16742834.2015.1126154
272. Climate effects of China’s efforts to improve its air quality Y. Zheng et al. https://doi.org/10.1088/1748-9326/ab9e21
273. The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component S. YUKIMOTO et al. https://doi.org/10.2151/jmsj.2019-051
274. Climate effects of aerosols reduce economic inequality Y. Zheng et al. https://doi.org/10.1038/s41558-020-0699-y
275. Performance of the Taiwan Earth System Model in Simulating Climate Variability Compared With Observations and CMIP6 Model Simulations Y. Wang et al. https://doi.org/10.1029/2020MS002353
276. Aerosol Optical Depth and Burden From Large Sea Salt Particles K. Fei et al. https://doi.org/10.1029/2018JD029814
277. Intercomparison of the cloud water phase among global climate models M. Komurcu et al. https://doi.org/10.1002/2013JD021119
278. Assessing aerosol indirect effect on clouds and regional climate of East/South Asia and West Africa using NCEP GFS H. Huang et al. https://doi.org/10.1007/s00382-018-4476-9
279. Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau D. Hao et al. https://doi.org/10.5194/gmd-16-75-2023
280. Regional Arctic Amplification by a Fast Atmospheric Response to Anthropogenic Sulfate Aerosol Forcing in China M. Kim et al. https://doi.org/10.1175/JCLI-D-18-0200.1
281. Using CESM-RESFire to understand climate–fire–ecosystem interactions and the implications for decadal climate variability Y. Zou et al. https://doi.org/10.5194/acp-20-995-2020
282. Limitations of assuming internal mixing between different aerosol species: a case study with sulfate geoengineering simulations D. Visioni et al. https://doi.org/10.5194/acp-22-1739-2022
283. The Regional Hydroclimate Response to Stratospheric Sulfate Geoengineering and the Role of Stratospheric Heating I. Simpson et al. https://doi.org/10.1029/2019JD031093
284. Can cirrus cloud seeding be used for geoengineering? J. Penner et al. https://doi.org/10.1002/2015GL065992
285. Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments J. He & Y. Zhang https://doi.org/10.5194/acp-14-9171-2014
286. Modeling study of the effect of anthropogenic aerosols on late spring drought in South China N. Hu & X. Liu https://doi.org/10.1007/s13351-013-0506-z
287. Evaluation of a multi-scale WRF-CAM5 simulation during the 2010 East Asian Summer Monsoon P. Campbell et al. https://doi.org/10.1016/j.atmosenv.2017.09.008
288. Ice and Supercooled Liquid Water Distributions Over the Southern Ocean Based on In Situ Observations and Climate Model Simulations C. Yang et al. https://doi.org/10.1029/2021JD036045
289. Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing K. Fung et al. https://doi.org/10.5194/acp-22-1549-2022
290. Quantifying Emerging Local Anthropogenic Emissions in the Arctic Region: The ACCESS Aircraft Campaign Experiment A. Roiger et al. https://doi.org/10.1175/BAMS-D-13-00169.1.2016.1.test
291. Role and Mechanisms of Black Carbon Affecting Water Vapor Transport to Tibet M. Luo et al. https://doi.org/10.3390/rs12020231
292. Air quality improvement masks global cooling from CO2 reductions under China’s carbon neutrality policies for half a century B. Zhao et al. https://doi.org/10.1038/s41467-026-68586-y
293. Metamodeling of Droplet Activation for Global Climate Models D. Rothenberg & C. Wang https://doi.org/10.1175/JAS-D-15-0223.1
294. Black Carbon Amplifies Haze Over the North China Plain by Weakening the East Asian Winter Monsoon S. Lou et al. https://doi.org/10.1029/2018GL080941
295. Examining the atmospheric radiative and snow-darkening effects of black carbon and dust across the Rocky Mountains of the United States using WRF-Chem S. Rahimi et al. https://doi.org/10.5194/acp-20-10911-2020
296. Significance of anthropogenic black carbon in modulating atmospheric and cloud properties through aerosol-radiation interaction during a winter-time fog-haze A. Sarkar & J. Panda https://doi.org/10.1016/j.atmosenv.2024.120720
297. Atmosphere teleconnections from abatement of China aerosol emissions exacerbate Northeast Pacific warm blob events H. Wang et al. https://doi.org/10.1073/pnas.2313797121
298. Application of triple-moment ice-phase cloud microphysics scheme in the CIESM model X. He et al. https://doi.org/10.1360/TB-2023-0921
299. Modeled Response of Greenland Snowmelt to the Presence of Biomass Burning‐Based Absorbing Aerosols in the Atmosphere and Snow J. Ward et al. https://doi.org/10.1029/2017JD027878
300. Technical Note: On the use of nudging for aerosol–climate model intercomparison studies K. Zhang et al. https://doi.org/10.5194/acp-14-8631-2014
301. Atmospheric chemistry enhances the climate mitigation potential of tree restoration R. Allen et al. https://doi.org/10.1038/s43247-025-02343-9
302. Efficacy of black carbon aerosols: the role of shortwave cloud feedback A. Modak & G. Bala https://doi.org/10.1088/1748-9326/ab21e7
303. Substantial Uncertainties in Arctic Aerosol Simulations by Microphysical Processes Within the Global Climate‐Aerosol Model CAM‐ATRAS H. Matsui & M. Liu https://doi.org/10.1029/2022JD036943
304. Changing PM2.5 and related meteorology over India from 1950–2014: a new perspective from a chemistry-climate model ensemble S. Hancock et al. https://doi.org/10.1088/2752-5295/acb22a
305. The Two‐Column Aerosol Project: Phase I—Overview and impact of elevated aerosol layers on aerosol optical depth L. Berg et al. https://doi.org/10.1002/2015JD023848
306. Radiative forcing in the ACCMIP historical and future climate simulations D. Shindell et al. https://doi.org/10.5194/acp-13-2939-2013
307. Multi-model simulations of aerosol and ozone radiative forcing due to anthropogenic emission changes during the period 1990–2015 G. Myhre et al. https://doi.org/10.5194/acp-17-2709-2017
308. Simulating Miocene Warmth: Insights From an Opportunistic Multi‐Model Ensemble (MioMIP1) N. Burls et al. https://doi.org/10.1029/2020PA004054
309. Impact of the modal aerosol scheme GLOMAP-mode on aerosol forcing in the Hadley Centre Global Environmental Model N. Bellouin et al. https://doi.org/10.5194/acp-13-3027-2013
310. Impacts of Atmospheric Processes on ENSO Asymmetry: A Comparison between CESM1 and CCSM4 T. Zhang et al. https://doi.org/10.1175/JCLI-D-17-0360.1
311. Pattern scaling based projections for precipitation and potential evapotranspiration: sensitivity to composition of GHGs and aerosols forcing Y. Xu & L. Lin https://doi.org/10.1007/s10584-016-1879-7
312. The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing R. Digby et al. https://doi.org/10.5194/acp-25-3109-2025
313. Impacts of ENSO events on cloud radiative effects in preindustrial conditions: Changes in cloud fraction and their dependence on interactive aerosol emissions and concentrations Y. Yang et al. https://doi.org/10.1002/2015JD024503
314. Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations S. Go et al. https://doi.org/10.5194/acp-22-1395-2022
315. Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1) Y. Liu et al. https://doi.org/10.5194/acp-21-8003-2021
316. The impact of black carbon emissions from projected Arctic shipping on regional ice transport X. Li et al. https://doi.org/10.1007/s00382-021-05814-9
317. Impact of combustion conditions on physical and morphological properties of biomass burning aerosol R. Pokhrel et al. https://doi.org/10.1080/02786826.2020.1822512
318. Towards Unified Online-Coupled Aerosol Parameterization for the Brazilian Global Atmospheric Model (BAM): Aerosol–Cloud Microphysical–Radiation Interactions J. Pendharkar et al. https://doi.org/10.3390/rs15010278
319. Spatiotemporal Spectral Variations of AOT in India’s EEZ over Arabian Sea: Validation of OCM-II C. Simha et al. https://doi.org/10.1155/2012/473162
320. Numerical simulation of influence of Tibetan Plateau uplift on winter dust cycle in Asian arid regions X. Li et al. https://doi.org/10.1007/s12665-016-5403-1
321. The Engineering of Climate Engineering D. MacMartin & B. Kravitz https://doi.org/10.1146/annurev-control-053018-023725
322. Impact of Physics Parameterization Ordering in a Global Atmosphere Model A. Donahue & P. Caldwell https://doi.org/10.1002/2017MS001067
323. Future dust concentration over the Middle East and North Africa region under global warming and stratospheric aerosol intervention scenarios S. Mousavi et al. https://doi.org/10.5194/acp-23-10677-2023
324. The importance of aerosol scenarios in projections of future heat extremes Y. Xu et al. https://doi.org/10.1007/s10584-015-1565-1
325. Black Carbon Absorption Efficiency Under Preindustrial and Present‐Day Conditions Simulated by a Size‐ and Mixing‐State‐Resolved Global Aerosol Model H. Matsui https://doi.org/10.1029/2019JD032316
326. Prescribing the aerosol effective radiative forcing in the Simple Cloud-Resolving E3SM Atmosphere Model v1 N. Mahfouz et al. https://doi.org/10.5194/acp-25-15105-2025
327. Isolating the Evolving Contributions of Anthropogenic Aerosols and Greenhouse Gases: A New CESM1 Large Ensemble Community Resource C. Deser et al. https://doi.org/10.1175/JCLI-D-20-0123.1
328. Comparison of three aerosol representations of NHM-Chem (v1.0) for the simulations of air quality and climate-relevant variables M. Kajino et al. https://doi.org/10.5194/gmd-14-2235-2021
329. Anthropogenic aerosol effects on tropospheric circulation and sea surface temperature (1980–2020): separating the role of zonally asymmetric forcings C. Diao et al. https://doi.org/10.5194/acp-21-18499-2021
330. Analysis of the global atmospheric background sulfur budget in a multi-model framework C. Brodowsky et al. https://doi.org/10.5194/acp-24-5513-2024
331. Sensitivity of remote aerosol distributions to representation of cloud–aerosol interactions in a global climate model H. Wang et al. https://doi.org/10.5194/gmd-6-765-2013
332. Contrasting Aerosol Effects on Long‐Wave Cloud Forcing in South East Asia and Amazon Simulated With Community Atmosphere Model Version 5.3 M. Wang et al. https://doi.org/10.1029/2020JD032380
333. The POLARCAT Model Intercomparison Project (POLMIP): overview and evaluation with observations L. Emmons et al. https://doi.org/10.5194/acp-15-6721-2015
334. Climate response of the south Asian monsoon system to West Asia, Tibetan Plateau and local dust emissions C. Singh et al. https://doi.org/10.1007/s00382-019-04925-8
335. Development of a global aerosol model using a two‐dimensional sectional method: 1. Model design H. Matsui https://doi.org/10.1002/2017MS000936
336. Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi‐Analytical Parameterizations in NCAR CAM5.3 M. Wang et al. https://doi.org/10.1029/2020EA001276
337. A sensitivity study on modeling black carbon in snow and its radiative forcing over the Arctic and Northern China Y. Qian et al. https://doi.org/10.1088/1748-9326/9/6/064001
338. Using an explicit emission tagging method in global modeling of source‐receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathways H. Wang et al. https://doi.org/10.1002/2014JD022297
339. New insights into the wind‐dust relationship in sandblasting and direct aerodynamic entrainment from wind tunnel experiments S. Parajuli et al. https://doi.org/10.1002/2015JD024424
340. Impact of numerical choices on water conservation in the E3SM Atmosphere Model version 1 (EAMv1) K. Zhang et al. https://doi.org/10.5194/gmd-11-1971-2018
341. Impacts of secondary ice production on Arctic mixed-phase clouds based on ARM observations and CAM6 single-column model simulations X. Zhao et al. https://doi.org/10.5194/acp-21-5685-2021
342. Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions C. Beall et al. https://doi.org/10.5194/acp-24-5287-2024
343. Reallocation in modal aerosol models: impacts on predicting aerosol radiative effects T. Korhola et al. https://doi.org/10.5194/gmd-7-161-2014
344. Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations T. Fan et al. https://doi.org/10.1002/joc.5490
345. NHM-Chem, the Japan Meteorological Agency's Regional Meteorology – Chemistry Model: Model Evaluations toward the Consistent Predictions of the Chemical, Physical, and Optical Properties of Aerosols M. KAJINO et al. https://doi.org/10.2151/jmsj.2019-020
346. Representation of the Community Earth System Model (CESM1) CAM4-chem within the Chemistry-Climate Model Initiative (CCMI) S. Tilmes et al. https://doi.org/10.5194/gmd-9-1853-2016
347. CESM1(WACCM) Stratospheric Aerosol Geoengineering Large Ensemble Project S. Tilmes et al. https://doi.org/10.1175/BAMS-D-17-0267.1
348. OCEANFILMS (Organic Compounds from Ecosystems to Aerosols: Natural Films and Interfaces via Langmuir Molecular Surfactants) sea spray organic aerosol emissions – implementation in a global climate model and impacts on clouds S. Burrows et al. https://doi.org/10.5194/acp-22-5223-2022
349. Immersion freezing by natural dust based on a soccer ball model with the Community Atmospheric Model version 5: climate effects Y. Wang & X. Liu https://doi.org/10.1088/1748-9326/9/12/124020
350. ARM-Led Improvements in Aerosols in Climate and Climate Models S. Ghan & J. Penner https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0033.1
351. Cloud adjustments from large-scale smoke–circulation interactions strongly modulate the southeastern Atlantic stratocumulus-to-cumulus transition M. Diamond et al. https://doi.org/10.5194/acp-22-12113-2022
352. Improving the representation of anthropogenic CO2 emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) A. Navarro et al. https://doi.org/10.5194/esd-9-1045-2018
353. Effects of local and remote black carbon aerosols on summer monsoon precipitation over India K. Krishnamohan et al. https://doi.org/10.1088/2515-7620/ac18d1
354. Reference aquaplanet climate in the Community Atmosphere Model, Version 5 B. Medeiros et al. https://doi.org/10.1002/2015MS000593
355. Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models T. Fan et al. https://doi.org/10.5194/acp-18-1395-2018
356. High‐Latitude Stratospheric Aerosol Geoengineering Can Be More Effective if Injection Is Limited to Spring W. Lee et al. https://doi.org/10.1029/2021GL092696
357. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution J. Golaz et al. https://doi.org/10.1029/2018MS001603
358. The impact of NOx emissions from lightning on the production of aviation-induced ozone A. Khodayari et al. https://doi.org/10.1016/j.atmosenv.2018.05.057
359. G6-1.5K-SAI and G6sulfur: changes in impacts and uncertainty depending on stratospheric aerosol injection strategy in the Geoengineering Model Intercomparison Project W. Lee et al. https://doi.org/10.5194/acp-26-7463-2026
360. Quantifying sources, transport, deposition, and radiative forcing of black carbon over the Himalayas and Tibetan Plateau R. Zhang et al. https://doi.org/10.5194/acp-15-6205-2015
361. Sensitivity Study of Anthropogenic Aerosol Indirect Forcing through Cirrus Clouds with CAM5 Using Three Ice Nucleation Parameterizations X. Shi & X. Liu https://doi.org/10.1007/s13351-018-8011-z
362. Chicxulub impact winter sustained by fine silicate dust C. Senel et al. https://doi.org/10.1038/s41561-023-01290-4
363. Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) J. Curtis et al. https://doi.org/10.5194/gmd-17-8399-2024
364. Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation G. Fanourgakis et al. https://doi.org/10.5194/acp-19-8591-2019
365. Isolating the Meteorological Impact of 21st Century GHG Warming on the Removal and Atmospheric Loading of Anthropogenic Fine Particulate Matter Pollution at Global Scale Y. Xu & J. Lamarque https://doi.org/10.1002/2017EF000684
366. Conditional pathways-based climate attribution C. Wentland et al. https://doi.org/10.1007/s00382-026-08160-w
367. Parameterizing cloud condensation nuclei concentrations during HOPE L. Hande et al. https://doi.org/10.5194/acp-16-12059-2016
368. Recent advances in understanding secondary organic aerosol: Implications for global climate forcing M. Shrivastava et al. https://doi.org/10.1002/2016RG000540
369. Impacts of cloud superparameterization on projected daily rainfall intensity climate changes in multiple versions of the Community Earth System Model G. Kooperman et al. https://doi.org/10.1002/2016MS000715
370. Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition J. Ching et al. https://doi.org/10.1038/s41612-019-0081-9
371. Description and performance of a sectional aerosol microphysical model in the Community Earth System Model (CESM2) S. Tilmes et al. https://doi.org/10.5194/gmd-16-6087-2023
372. Clear-Sky Direct Aerosol Radiative Forcing Uncertainty Associated with Aerosol Optical Properties Based on CMIP6 models L. Zhang et al. https://doi.org/10.1175/JCLI-D-21-0479.1
373. Assessment of marine boundary layer cloud simulations in the CAM with CLUBB and updated microphysics scheme based on ARM observations from the Azores X. Zheng et al. https://doi.org/10.1002/2016JD025274
374. Positive feedback to regional climate enhances African wildfires A. Zhang et al. https://doi.org/10.1016/j.isci.2023.108533
375. A pathway analysis of global aerosol processes N. Schutgens & P. Stier https://doi.org/10.5194/acp-14-11657-2014
376. Improving organic aerosol treatments in CESM/CAM5: Development, application, and evaluation T. Glotfelty et al. https://doi.org/10.1002/2016MS000874
377. Correction of approximation errors with Random Forests applied to modelling of cloud droplet formation A. Lipponen et al. https://doi.org/10.5194/gmd-6-2087-2013
378. Online coupled regional meteorology chemistry models in Europe: current status and prospects A. Baklanov et al. https://doi.org/10.5194/acp-14-317-2014
379. Divergent global-scale temperature effects from identical aerosols emitted in different regions G. Persad & K. Caldeira https://doi.org/10.1038/s41467-018-05838-6
380. Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. https://doi.org/10.1029/2020MS002456
381. On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect D. Rothenberg et al. https://doi.org/10.5194/acp-18-7961-2018
382. Cirrus cloud seeding: a climate engineering mechanism with reduced side effects? T. Storelvmo et al. https://doi.org/10.1098/rsta.2014.0116
383. Impacts of Aerosol Dry Deposition on Black Carbon Spatial Distributions and Radiative Effects in the Community Atmosphere Model CAM5 M. Wu et al. https://doi.org/10.1029/2017MS001219
384. Impact of SO2 injection profiles on simulated volcanic forcing for the 2009 Sarychev eruptions – investigating the importance of using high-vertical-resolution methods when compiling SO2 data E. Axebrink et al. https://doi.org/10.5194/acp-25-2047-2025
385. Evolving Sahel Rainfall Response to Anthropogenic Aerosols Driven by Shifting Regional Oceanic and Emission Influences H. Hirasawa et al. https://doi.org/10.1175/JCLI-D-21-0795.1
386. Sensitivity of dust radiative forcing to representation of aerosol size distribution in radiative transfer model Y. Peng et al. https://doi.org/10.1016/j.jqsrt.2018.04.037
387. Source-specified atmospheric age distribution of black carbon and its impact on optical properties over the Yangtze River Delta J. Yin et al. https://doi.org/10.1016/j.scitotenv.2024.171353
388. Comparison of Six Lightning Parameterizations in CAM5 and the Impact on Global Atmospheric Chemistry F. Gordillo‐Vázquez et al. https://doi.org/10.1029/2019EA000873
389. Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region N. Yusuf & R. Sa'id https://doi.org/10.1016/j.heliyon.2023.e18815
390. Projected increases in wildfires may challenge regulatory curtailment of PM2.5 over the eastern US by 2050 C. Sarangi et al. https://doi.org/10.5194/acp-23-1769-2023
391. Evaluation of the Causes of Wet‐Season Dry Biases Over Amazonia in CAM5 H. Ma et al. https://doi.org/10.1029/2020JD033859
392. Changes in aerosol size distributions over the Indian Ocean during different meteorological conditions J. Kesti et al. https://doi.org/10.1080/16000889.2020.1792756
393. Impacts on cloud radiative effects induced by coexisting aerosols converted from international shipping and maritime DMS emissions Q. Jin et al. https://doi.org/10.5194/acp-18-16793-2018
394. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. https://doi.org/10.1029/2020MS002210
395. The Whole Atmosphere Community Climate Model Version 6 (WACCM6) A. Gettelman et al. https://doi.org/10.1029/2019JD030943
396. Improved Simulations of Global Black Carbon Distributions by Modifying Wet Scavenging Processes in Convective and Mixed‐Phase Clouds M. Liu & H. Matsui https://doi.org/10.1029/2020JD033890
397. Large influence of dust on the Precambrian climate P. Liu et al. https://doi.org/10.1038/s41467-020-18258-2
398. Response of Indian summer monsoon rainfall to remote carbonaceous aerosols at short time scales: Teleconnections and feedbacks A. Asutosh et al. https://doi.org/10.1016/j.envres.2022.113898
399. Short ensembles: an efficient method for discerning climate-relevant sensitivities in atmospheric general circulation models H. Wan et al. https://doi.org/10.5194/gmd-7-1961-2014
400. Characteristic Vertical Profiles of Cloud Water Composition in Marine Stratocumulus Clouds and Relationships With Precipitation A. MacDonald et al. https://doi.org/10.1002/2017JD027900
401. The Single Column Atmosphere Model Version 6 (SCAM6): Not a Scam but a Tool for Model Evaluation and Development A. Gettelman et al. https://doi.org/10.1029/2018MS001578
402. Sensitivity of tropospheric chemical composition to halogen-radical chemistry using a fully coupled size-resolved multiphase chemistry–global climate system: halogen distributions, aerosol composition, and sensitivity of climate-relevant gases M. Long et al. https://doi.org/10.5194/acp-14-3397-2014
403. Impacts of the East Asian Monsoon on springtime dust concentrations over China S. Lou et al. https://doi.org/10.1002/2016JD024758
404. Indian Ocean warming modulates global atmospheric circulation trends S. Dhame et al. https://doi.org/10.1007/s00382-020-05369-1
405. Performance and Accuracy Implications of Parallel Split Physics‐Dynamics Coupling in the Energy Exascale Earth System Atmosphere Model A. Donahue & P. Caldwell https://doi.org/10.1029/2020MS002080
406. Fire heat affects the impacts of wildfires on air pollution in the United States Q. Ma et al. https://doi.org/10.1126/science.ads1957
407. The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations K. Zhang et al. https://doi.org/10.5194/acp-12-8911-2012
408. An Objective and Efficient Method for Assessing the Impact of Reduced‐Precision Calculations On Solution Correctness S. Zhang et al. https://doi.org/10.1029/2019MS001817
409. Biomass burning aerosols in most climate models are too absorbing H. Brown et al. https://doi.org/10.1038/s41467-020-20482-9
410. Meteorological Influences on Anthropogenic PM2.5 in Future Climates: Species Level Analysis in the Community Earth System Model v2 A. Banks et al. https://doi.org/10.1029/2021EF002298
411. Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model P. Bogenschutz et al. https://doi.org/10.1175/JCLI-D-13-00075.1
412. Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1 K. Yahya et al. https://doi.org/10.5194/gmd-9-671-2016
413. Impacts of Amazon Fire Aerosols on the Subseasonal Circulations of the Mid-High Latitudes Y. Zhou et al. https://doi.org/10.3389/feart.2020.609554
414. Improvements to the WRF-Chem 3.5.1 model for quasi-hemispheric simulations of aerosols and ozone in the Arctic L. Marelle et al. https://doi.org/10.5194/gmd-10-3661-2017
415. Global Health and Climate Effects of Organic Aerosols from Different Sources D. Jo et al. https://doi.org/10.1021/acs.est.3c02823
416. Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. https://doi.org/10.1029/2019MS001851
417. South Asian Summer Monsoon under stratospheric aerosol intervention A. Asutosh et al. https://doi.org/10.1038/s41612-024-00875-z
418. Recent intensification of winter haze in China linked to foreign emissions and meteorology Y. Yang et al. https://doi.org/10.1038/s41598-018-20437-7
419. Aerosol optical properties in the southeastern United States in summer – Part 2: Sensitivity of aerosol optical depth to relative humidity and aerosol parameters C. Brock et al. https://doi.org/10.5194/acp-16-5009-2016
420. Global Climate Simulated by the Seoul National University Atmosphere Model Version 0 with a Unified Convection Scheme (SAM0-UNICON) S. Park et al. https://doi.org/10.1175/JCLI-D-18-0796.1
421. Cloud Phase and Relative Humidity Distributions over the Southern Ocean in Austral Summer Based on In Situ Observations and CAM5 Simulations J. D’Alessandro et al. https://doi.org/10.1175/JCLI-D-18-0232.1
422. Regional scale air quality modelling system in India: issues, challenges and suggestive framework N. Shukla et al. https://doi.org/10.1007/s12517-023-11474-2
423. Investigating impacts of forest fires in Alaska and western Canada on regional weather over the northeastern United States using CAM5 global simulations to constrain transport to a WRF-Chem regional domain Z. Zhao et al. https://doi.org/10.1002/2013JD020973
424. The Effect of Aerosols to Climate Change and Society B. Zhang https://doi.org/10.4236/gep.2020.88006
425. What rainfall rates are most important to wet removal of different aerosol types? Y. Wang et al. https://doi.org/10.5194/acp-21-16797-2021
426. Assessing modifications to the Abdul-Razzak and Ghan aerosol activation parameterization (version ARG2000) to improve simulated aerosol–cloud radiative effects in the UK Met Office Unified Model (UM version 13.0) P. Ghosh et al. https://doi.org/10.5194/gmd-18-4899-2025
427. Post-Monsoon Season Precipitation Reduction over South Asia: Impacts of Anthropogenic Aerosols and Irrigation W. Chen et al. https://doi.org/10.3390/atmos9080311
428. Evaluation of Mesoscale Convective Systems in Climate Simulations: Methodological Development and Results from MPAS-CAM over the United States Z. Feng et al. https://doi.org/10.1175/JCLI-D-20-0136.1
429. Cirrus cloud seeding has potential to cool climate T. Storelvmo et al. https://doi.org/10.1029/2012GL054201
430. Effects of pre-existing ice crystals on cirrus clouds and comparison between different ice nucleation parameterizations with the Community Atmosphere Model (CAM5) X. Shi et al. https://doi.org/10.5194/acp-15-1503-2015
431. Predicting ambient aerosol thermal–optical reflectance measurements from infrared spectra: elemental carbon A. Dillner & S. Takahama https://doi.org/10.5194/amt-8-4013-2015
432. Sensitivity of southern hemisphere westerly wind to boundary conditions for the last glacial maximum S. Kim et al. https://doi.org/10.1016/j.quaint.2017.04.001
433. Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. https://doi.org/10.1016/j.earscirev.2021.103562
434. Evaluation of observed and modelled aerosol lifetimes using radioactive tracers of opportunity and an ensemble of 19 global models N. Kristiansen et al. https://doi.org/10.5194/acp-16-3525-2016
435. Simulated differences in 21st century aridity due to different scenarios of greenhouse gases and aerosols L. Lin et al. https://doi.org/10.1007/s10584-016-1615-3
436. Implementation of the chemistry module MECCA (v2.5) in the modal aerosol version of the Community Atmosphere Model component (v3.6.33) of the Community Earth System Model M. Long et al. https://doi.org/10.5194/gmd-6-255-2013
437. The dependence of aerosols' global and local precipitation impacts on the emitting region G. Persad https://doi.org/10.5194/acp-23-3435-2023
438. Historical and future black carbon deposition on the three ice caps: Ice core measurements and model simulations from 1850 to 2100 S. Bauer et al. https://doi.org/10.1002/jgrd.50612
439. Influence of dimethyl sulfide on the carbon cycle and biological production S. Wang et al. https://doi.org/10.1007/s10533-018-0430-5
440. Spatiotemporal variability of aerosol-cloud interactions in Northwestern Pacific and impact on NPP X. Qiu et al. https://doi.org/10.1016/j.atmosenv.2025.121151
441. Black Carbon in Climate Studies: A Bibliometric Analysis of Research Trends and Topics C. Chen et al. https://doi.org/10.3390/su16208945
442. Numerical investigation of the coagulation mixing between dust and hygroscopic aerosol particles and its impacts I. Tsai et al. https://doi.org/10.1002/2014JD022899
443. The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution P. Caldwell et al. https://doi.org/10.1029/2019MS001870
444. Multi-Model Simulations of a Mediterranean Extreme Event: The Impact of Mineral Dust on the VAIA Storm T. Landi et al. https://doi.org/10.3390/atmos16060745
445. Injection near the stratopause mitigates the stratospheric side effects of sulfur-based climate intervention P. Yu et al. https://doi.org/10.5194/acp-25-18449-2025
446. A 4-D climatology (1979–2009) of the monthly tropospheric aerosol optical depth distribution over the Mediterranean region from a comparative evaluation and blending of remote sensing and model products P. Nabat et al. https://doi.org/10.5194/amt-6-1287-2013
447. The Community Earth System Model: A Framework for Collaborative Research J. Hurrell et al. https://doi.org/10.1175/BAMS-D-12-00121.1
448. Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme J. Zhu & J. Penner https://doi.org/10.5194/acp-20-7801-2020
449. Numerical simulation of Tibetan Plateau heating anomaly influence on westerly jet in spring L. Xinzhou & L. Xiaodong https://doi.org/10.1007/s12040-015-0630-5
450. Efficient In‐Cloud Removal of Aerosols by Deep Convection P. Yu et al. https://doi.org/10.1029/2018GL080544
451. 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
452. Near-linear response of mean monsoon strength to a broad range of radiative forcings W. Boos & T. Storelvmo https://doi.org/10.1073/pnas.1517143113
453. Perturbation of Tropical Stratospheric Ozone Through Homogeneous and Heterogeneous Chemistry Due To Pinatubo Y. Peng et al. https://doi.org/10.1029/2023GL103773
454. An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models H. Ma et al. https://doi.org/10.1002/2015MS000490
455. A dynamical pathway bridging African biomass burning and Asian summer monsoon D. Cao et al. https://doi.org/10.1007/s00382-021-05788-8
456. A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model K. Thayer-Calder et al. https://doi.org/10.5194/gmd-8-3801-2015
457. Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. https://doi.org/10.5194/acp-23-2789-2023
458. Multimodel Surface Temperature Responses to Removal of U.S. Sulfur Dioxide Emissions A. Conley et al. https://doi.org/10.1002/2017JD027411
459. Radiative Forcing of Nitrate Aerosols From 1975 to 2010 as Simulated by MOSAIC Module in CESM2‐MAM4 Z. Lu et al. https://doi.org/10.1029/2021JD034809
460. Climate responses in China to domestic and foreign aerosol changes due to clean air actions during 2013–2019 J. Gao et al. https://doi.org/10.1038/s41612-023-00488-y
461. Impact of Cloud Physics on the Greenland Ice Sheet Near‐Surface Climate: A Study With the Community Atmosphere Model J. Lenaerts et al. https://doi.org/10.1029/2019JD031470
462. Simulated responses of terrestrial aridity to black carbon and sulfate aerosols L. Lin et al. https://doi.org/10.1002/2015JD024100
463. Seasonality of global and Arctic black carbon processes in the Arctic Monitoring and Assessment Programme models R. Mahmood et al. https://doi.org/10.1002/2016JD024849
464. Microphysical properties of atmospheric soot and organic particles: measurements, modeling, and impacts W. Li et al. https://doi.org/10.1038/s41612-024-00610-8
465. A Regional Aerosol Model for the Oceanic Area around Eastern China Based on Aerosol Robotic Network (AERONET) S. Chen et al. https://doi.org/10.3390/rs16061106
466. Sensitivity analysis of simulated SOA loadings using a variance‐based statistical approach M. Shrivastava et al. https://doi.org/10.1002/2015MS000554
467. Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity G. Mann et al. https://doi.org/10.5194/acp-14-4679-2014
468. Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. https://doi.org/10.5194/acp-22-9129-2022
469. Variability and trends of upper-tropospheric aerosols over the Asian summer monsoon region: an AeroCom multi-model study M. Chin et al. https://doi.org/10.5194/acp-26-6035-2026
470. Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations A. Di Noia et al. https://doi.org/10.5194/amt-8-281-2015
471. Effect of cloud‐scale vertical velocity on the contribution of homogeneous nucleation to cirrus formation and radiative forcing X. Shi & X. Liu https://doi.org/10.1002/2016GL069531
472. Anthropogenic Impacts on the Water Cycle over Drylands in the Northern Hemisphere M. Luo et al. https://doi.org/10.1175/JCLI-D-22-0037.1
473. The Impact of Resolving Subkilometer Processes on Aerosol‐Cloud Interactions of Low‐Level Clouds in Global Model Simulations C. Terai et al. https://doi.org/10.1029/2020MS002274
474. Effects of marine organic aerosols as sources of immersion-mode ice-nucleating particles on high-latitude mixed-phase clouds X. Zhao et al. https://doi.org/10.5194/acp-21-2305-2021
475. Impacts of Shifts in Phytoplankton Community on Clouds and Climate via the Sulfur Cycle S. Wang et al. https://doi.org/10.1029/2017GB005862
476. Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1 T. Fritz et al. https://doi.org/10.5194/gmd-15-8669-2022
477. CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM) H. Wan et al. https://doi.org/10.5194/gmd-15-3205-2022
478. Global impact of smoke aerosols from landscape fires on climate and the Hadley circulation M. Tosca et al. https://doi.org/10.5194/acp-13-5227-2013
479. On Effective Radiative Forcing of Partial Internally and Externally Mixed Aerosols and Their Effects on Global Climate C. Zhou et al. https://doi.org/10.1002/2017JD027603
480. Sensitivity of simulated chemical concentrations and aerosol‐meteorology interactions to aerosol treatments and biogenic organic emissions in WRF/Chem Y. Zhang et al. https://doi.org/10.1002/2016JD024882
481. Trends and source apportionment of aerosols in Europe during 1980–2018 Y. Yang et al. https://doi.org/10.5194/acp-20-2579-2020
482. Nonlinear effect on the East Asian summer monsoon due to two coexisting anthropogenic forcing factors in eastern China: an AGCM study J. Deng & H. Xu https://doi.org/10.1007/s00382-015-2803-y
483. An AeroCom assessment of black carbon in Arctic snow and sea ice C. Jiao et al. https://doi.org/10.5194/acp-14-2399-2014
484. Size-resolved cloud droplet acidity over the US S. Kakavas et al. https://doi.org/10.1039/D5EA00067J
485. Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. https://doi.org/10.1029/2022EA002706
486. Model simulation of carbonaceous fine particulate matter using SAFAR emission inventory and comparison with EDGAR-HTAP simulations P. Kumar et al. https://doi.org/10.1016/j.atmosenv.2023.120147
487. Interannual to decadal climate variability of sea salt aerosols in the coupled climate model CESM1.0 L. Xu et al. https://doi.org/10.1002/2014JD022888
488. Influence of cloud microphysical processes on black carbon wet removal, global distributions, and radiative forcing J. Xu et al. https://doi.org/10.5194/acp-19-1587-2019
489. The EMEP MSC-W chemical transport model – technical description D. Simpson et al. https://doi.org/10.5194/acp-12-7825-2012
490. Short‐term time step convergence in a climate model H. Wan et al. https://doi.org/10.1002/2014MS000368
491. Sensitivity study of cloud parameterizations with relative dispersion in CAM5.1: impacts on aerosol indirect effects X. Xie et al. https://doi.org/10.5194/acp-17-5877-2017
492. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. https://doi.org/10.1029/2021RG000745
493. Simulated 2050 aviation radiative forcing from contrails and aerosols C. Chen & A. Gettelman https://doi.org/10.5194/acp-16-7317-2016
494. Two Distinct Modes of Climate Responses to the Anthropogenic Aerosol Forcing Changes J. Shi et al. https://doi.org/10.1175/JCLI-D-21-0656.1
495. An Evaluation of the Representation of Tropical Tropopause Cirrus in the CESM/CARMA Model Using Satellite and Aircraft Observations C. Maloney et al. https://doi.org/10.1029/2018JD029720
496. The role of anthropogenic aerosols in future precipitation extremes over the Asian Monsoon Region A. Zhao et al. https://doi.org/10.1007/s00382-018-4514-7
497. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. https://doi.org/10.5194/acp-22-11009-2022
498. The changing role of dust and open fires PM2.5 on Africa’s air quality and human health A. Aboagye-Okyere et al. https://doi.org/10.1088/1748-9326/adf07e
499. Constraining Aging Processes of Black Carbon in the Community Atmosphere Model Using Environmental Chamber Measurements Y. Wang et al. https://doi.org/10.1029/2018MS001387
500. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
501. Characterization of organic aerosol across the global remote troposphere: a comparison of ATom measurements and global chemistry models A. Hodzic et al. https://doi.org/10.5194/acp-20-4607-2020
502. Predictive modeling of atmospheric nuclear fallout microphysics D. McGuffin et al. https://doi.org/10.1016/j.scitotenv.2024.175536
503. The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics J. Lamarque et al. https://doi.org/10.5194/gmd-6-179-2013
504. Recent Progress in Impacts of Mixing State on Optical Properties of Black Carbon Aerosol X. Wei et al. https://doi.org/10.1007/s40726-020-00158-0
505. Tropical Pacific Ocean Dynamical Response to Short-Term Sulfate Aerosol Forcing T. Verma et al. https://doi.org/10.1175/JCLI-D-19-0050.1
506. Factors driving the seasonal and hourly variability of sea-spray aerosol number in the North Atlantic G. Saliba et al. https://doi.org/10.1073/pnas.1907574116
507. Effective radiative forcing in the aerosol–climate model CAM5.3-MARC-ARG B. Grandey et al. https://doi.org/10.5194/acp-18-15783-2018
508. Sensitivity of the interannual variability of mineral aerosol simulations to meteorological forcing dataset M. Smith et al. https://doi.org/10.5194/acp-17-3253-2017
509. The parametric sensitivity of CAM5's MJO J. Boyle et al. https://doi.org/10.1002/2014JD022507
510. Current model capabilities for simulating black carbon and sulfate concentrations in the Arctic atmosphere: a multi-model evaluation using a comprehensive measurement data set S. Eckhardt et al. https://doi.org/10.5194/acp-15-9413-2015
511. Important Ice Processes Are Missed by the Community Earth System Model in Southern Ocean Mixed‐Phase Clouds: Bridging SOCRATES Observations to Model Developments X. Zhao et al. https://doi.org/10.1029/2022JD037513
512. Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme J. Shin & J. Baik https://doi.org/10.1029/2022MS003578
513. A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia C. Wu et al. https://doi.org/10.1002/2016MS000723
514. Simulation and analysis of XCO2 in North China based on high accuracy surface modeling Y. Liu et al. https://doi.org/10.1007/s11356-018-2683-x
515. The impacts of cloud snow radiative effects on Pacific Ocean surface heat fluxes, surface wind stress, and ocean temperatures in coupled GCM simulations J. Li et al. https://doi.org/10.1002/2014JD022538
516. Fine-scale application of WRF-CAM5 during a dust storm episode over East Asia: Sensitivity to grid resolutions and aerosol activation parameterizations K. Wang et al. https://doi.org/10.1016/j.atmosenv.2017.12.014
517. Accounting for the black carbon aging process in a two-way coupled meteorology–air quality model Y. Jin et al. https://doi.org/10.5194/acp-25-2613-2025
518. An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model D. Rothenberg & C. Wang https://doi.org/10.5194/gmd-10-1817-2017
519. Exploring a variable-resolution approach for simulating the regional climate in Southwest China using VR-CESM X. Jiang et al. https://doi.org/10.1016/j.atmosres.2023.106851
520. Incorporation of advanced aerosol activation treatments into CESM/CAM5: model evaluation and impacts on aerosol indirect effects B. Gantt et al. https://doi.org/10.5194/acp-14-7485-2014
521. Validating a microphysical prognostic stratospheric aerosol implementation in E3SMv2 using observations after the Mount Pinatubo eruption H. Brown et al. https://doi.org/10.5194/gmd-17-5087-2024
522. Resolving aerosol mixing state increases accuracy of black carbon respiratory deposition estimates J. Ching et al. https://doi.org/10.1016/j.oneear.2020.11.004
523. Modeling ultrafine particle growth at a pine forest site influenced by anthropogenic pollution during BEACHON-RoMBAS 2011 Y. Cui et al. https://doi.org/10.5194/acp-14-11011-2014
524. Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5 K. Zhang et al. https://doi.org/10.5194/gmd-9-607-2016
525. Robust effects of cloud superparameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model G. Kooperman et al. https://doi.org/10.1002/2015MS000574
526. The Development of an Atmospheric Aerosol/Chemistry‐Climate Model, BCC_AGCM_CUACE2.0, and Simulated Effective Radiative Forcing of Nitrate Aerosols Q. An et al. https://doi.org/10.1029/2019MS001622
527. The Dominant Role of Snow/Ice Albedo Feedback Strengthened by Black Carbon in the Enhanced Warming over the Himalayas J. Ma et al. https://doi.org/10.1175/JCLI-D-18-0720.1
528. AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format H. Cao et al. https://doi.org/10.1109/TPDS.2022.3231013
529. Assessing the effects of anthropogenic aerosols on Pacific storm track using a multiscale global climate model Y. Wang et al. https://doi.org/10.1073/pnas.1403364111
530. Contributions of Clouds, Surface Albedos, and Mixed-Phase Ice Nucleation Schemes to Arctic Radiation Biases in CAM5 J. English et al. https://doi.org/10.1175/JCLI-D-13-00608.1
531. Source attribution of black carbon and its direct radiative forcing in China Y. Yang et al. https://doi.org/10.5194/acp-17-4319-2017
532. Assessment of the simulation of Indian Ocean Dipole in the CESM—Impacts of atmospheric physics and model resolution Z. Yao et al. https://doi.org/10.1002/2016MS000700
533. Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. https://doi.org/10.5194/gmd-12-3835-2019
534. Global volcanic aerosol properties derived from emissions, 1990–2014, using CESM1(WACCM) M. Mills et al. https://doi.org/10.1002/2015JD024290
535. Exacerbation of Indian Summer Monsoon Breaks by the Indirect Effect of Regional Dust Aerosols S. Surendran et al. https://doi.org/10.1029/2022GL101106
536. Indirect radiative forcing by ion-mediated nucleation of aerosol F. Yu et al. https://doi.org/10.5194/acp-12-11451-2012
537. Semidirect dynamical and radiative effect of North African dust transport on lower tropospheric clouds over the subtropical North Atlantic in CESM 1.0 M. DeFlorio et al. https://doi.org/10.1002/2013JD020997
538. Aerosol distribution over Brazil with ECHAM-HAM and CAM5-MAM3 simulations and its comparison with ground-based and satellite data D. Alvim et al. https://doi.org/10.1016/j.apr.2017.01.008
539. Hygroscopicity Depends on Aerosol Acidity and Sulfate Content during the Reactive Uptake of Isoprene Epoxydiols N. Armstrong et al. https://doi.org/10.1021/acsearthspacechem.5c00163
540. The global warming potential of near-surface emitted water vapour S. Sherwood et al. https://doi.org/10.1088/1748-9326/aae018
541. 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
542. Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations R. Wang et al. https://doi.org/10.1002/2015JD024326
543. Carbonaceous aerosols recorded in a southeastern Tibetan glacier: analysis of temporal variations and model estimates of sources and radiative forcing M. Wang et al. https://doi.org/10.5194/acp-15-1191-2015
544. High Sensitivity of Arctic Black Carbon Radiative Effects to Subgrid Vertical Velocity in Aerosol Activation H. Matsui & N. Moteki https://doi.org/10.1029/2020GL088978
545. Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5 Z. Ke et al. https://doi.org/10.1029/2021MS002845
546. Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties T. Fan et al. https://doi.org/10.1007/s00376-021-1119-6
547. Global distribution and climate forcing of marine organic aerosol – Part 2: Effects on cloud properties and radiative forcing B. Gantt et al. https://doi.org/10.5194/acp-12-6555-2012
548. Nonlinear effects of anthropogenic aerosol and urban land surface forcing on spring climate in eastern China J. Deng et al. https://doi.org/10.1002/2015JD024377
549. Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): evaluation of reanalyses and global climate models G. de Boer et al. https://doi.org/10.5194/acp-14-427-2014
550. How does tropospheric VOC chemistry affect climate? An investigation of preindustrial control simulations using the Community Earth System Model version 2 N. Stanton & N. Tandon https://doi.org/10.5194/acp-23-9191-2023
551. Global Dust Cycle and Direct Radiative Effect in E3SM Version 1: Impact of Increasing Model Resolution Y. Feng et al. https://doi.org/10.1029/2021MS002909
552. On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models S. Zhang et al. https://doi.org/10.5194/acp-16-2765-2016
553. Development of a parameterization of black carbon aging for use in general circulation models N. Oshima & M. Koike https://doi.org/10.5194/gmd-6-263-2013
554. Modeling the global radiative effect of brown carbon: a potentially larger heating source in the tropical free troposphere than black carbon A. Zhang et al. https://doi.org/10.5194/acp-20-1901-2020
555. Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling Z. Zheng et al. https://doi.org/10.1029/2020EA001500
556. Impact of industrial versus biomass burning aerosols on the Atlantic Meridional Overturning Circulation R. Allen et al. https://doi.org/10.1038/s41612-024-00602-8
557. Short-term modulation of Indian summer monsoon rainfall by West Asian dust V. Vinoj et al. https://doi.org/10.1038/ngeo2107
558. Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East A. Kamal et al. https://doi.org/10.1016/j.atmosres.2024.107324
559. Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. https://doi.org/10.5194/acp-22-5265-2022
560. Comparison of model estimates of the effects of aviation emissions on atmospheric ozone and methane S. Olsen et al. https://doi.org/10.1002/2013GL057660
561. 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
562. Distinct Contributions of Ice Nucleation, Large‐Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5 Y. Wang et al. https://doi.org/10.1002/2017JD027213
563. On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic I. Chang et al. https://doi.org/10.5194/acp-23-4283-2023
564. Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. https://doi.org/10.5194/acp-20-139-2020
565. Coastal terrestrial emissions modify the composition and optical properties of aerosols in marginal seas K. Hu et al. https://doi.org/10.5194/acp-26-2225-2026
566. Worldwide data sets constrain the water vapor uptake coefficient in cloud formation T. Raatikainen et al. https://doi.org/10.1073/pnas.1219591110
567. Impact of Environmental Aerosols on a Developing Extratropical Cyclone in the Superparameterized Community Atmosphere Model Y. Lu & Y. Deng https://doi.org/10.1175/JCLI-D-16-0157.1
568. Smoke aerosols elevate precipitation top and latent heat to the upper atmosphere globally H. Zhu et al. https://doi.org/10.1038/s41612-025-01047-3
569. Application of an Online-Coupled Regional Climate Model, WRF-CAM5, over East Asia for Examination of Ice Nucleation Schemes: Part I. Comprehensive Model Evaluation and Trend Analysis for 2006 and 2011 Y. Chen et al. https://doi.org/10.3390/cli3030627
570. On resolution sensitivity in the Community Atmosphere Model A. Herrington & K. Reed https://doi.org/10.1002/qj.3873
571. A production-tagged aerosol module for Earth system models, OsloAero5.3 – extensions and updates for CAM5.3-Oslo A. Kirkevåg et al. https://doi.org/10.5194/gmd-11-3945-2018
572. 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
573. Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model R. Morales Betancourt & A. Nenes https://doi.org/10.5194/acp-14-4809-2014
574. Using ARM Observations to Evaluate Climate Model Simulations of Land‐Atmosphere Coupling on the U.S. Southern Great Plains T. Phillips et al. https://doi.org/10.1002/2017JD027141
575. The influence of different parameterizations on diurnal cycle of land precipitation in CAS-ESM X. Kong et al. https://doi.org/10.1016/j.atmosres.2022.106511
576. Aerosol size distribution seasonal characteristics measured in Tiksi, Russian Arctic E. Asmi et al. https://doi.org/10.5194/acp-16-1271-2016
577. Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles Y. Liu et al. https://doi.org/10.5194/acp-18-31-2018
578. An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models G. Chen et al. https://doi.org/10.1029/2022MS003501
579. Local sources of global climate forcing from different categories of land use activities D. Ward & N. Mahowald https://doi.org/10.5194/esd-6-175-2015
580. Development of a global aerosol model using a two‐dimensional sectional method: 2. Evaluation and sensitivity simulations H. Matsui & N. Mahowald https://doi.org/10.1002/2017MS000937
581. Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon T. Sun et al. https://doi.org/10.1016/j.atmosenv.2020.118178
582. Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO2 in CESM2 W. Ge et al. https://doi.org/10.5194/acp-21-16093-2021
583. Unveiling the dominant control of the systematic cooling bias in CMIP6 models: quantification and corrective strategies J. Zhang et al. https://doi.org/10.5194/acp-26-2175-2026
584. Dynamic Feedback of Aerosol Effects on the East Asian Summer Monsoon J. Chen et al. https://doi.org/10.1175/JCLI-D-15-0758.1
585. Enhanced radiative cooling by large aerosol particles from wildfire-driven thunderstorms Y. Li et al. https://doi.org/10.1126/sciadv.adw6526
586. Revisiting the climate impacts of cool roofs around the globe using an Earth system model J. Zhang et al. https://doi.org/10.1088/1748-9326/11/8/084014
587. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. https://doi.org/10.5194/acp-22-4737-2022
588. Diurnal Cycle of Land Precipitation in Cas-Esm: Effect of Different Resolutions and Parameterizations X. Kong et al. https://doi.org/10.2139/ssrn.4180458
589. Biased Aerosol Wet Deposition CAM5 Simulations: A Result of Misrepresented Convective-Stratiform Precipitation Partitioning When Benchmarked Against SPCAM W. Xia et al. https://doi.org/10.3390/rs18010151
590. Investigating ice nucleation in cirrus clouds with an aerosol‐enabled Multiscale Modeling Framework C. Zhang et al. https://doi.org/10.1002/2014MS000343
591. Trends and drivers of soluble iron deposition from East Asian dust to the Northwest Pacific: a springtime analysis (2001–2017) H. Zhu et al. https://doi.org/10.5194/acp-25-5175-2025
592. The impact of secondary inorganic aerosol emissions change on surface air temperature in the Northern Hemisphere C. Zhou et al. https://doi.org/10.1007/s00704-020-03249-6
593. Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. https://doi.org/10.5194/acp-24-5907-2024
594. Multi-model analysis of the impact of water vapor on the radiative forcing of volcanic aerosols after the 2022 Hunga Eruption I. Quaglia et al. https://doi.org/10.5194/acp-26-7677-2026
595. Impacts of Suppressing Excessive Light Rain on Aerosol Radiative Effects and Health Risks Y. Wang et al. https://doi.org/10.1029/2021JD036204
596. Processes Leading to Double Intertropical Convergence Zone Bias in CESM1/CAM5 C. Wang et al. https://doi.org/10.1175/JCLI-D-14-00622.1
597. 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
598. Collective geographical ecoregions and precursor sources driving Arctic new particle formation J. Brean et al. https://doi.org/10.5194/acp-23-2183-2023
599. Shift in Peaks of PAH‐Associated Health Risks From East Asia to South Asia and Africa in the Future S. Lou et al. https://doi.org/10.1029/2022EF003185
600. High Free‐Tropospheric Aitken‐Mode Aerosol Concentrations Buffer Cloud Droplet Concentrations in Large‐Eddy Simulations of Precipitating Stratocumulus M. Wyant et al. https://doi.org/10.1029/2021MS002930
601. Fast response of global monsoon area and precipitation to regional carbonaceous aerosols A. Asutosh et al. https://doi.org/10.1016/j.atmosres.2024.107354
602. Decadal simulation and comprehensive evaluation of CESM/CAM5.1 with advanced chemistry, aerosol microphysics, and aerosol‐cloud interactions J. He et al. https://doi.org/10.1002/2014MS000360
603. Roles of tropical SST patterns during two types of ENSO in modulating wintertime rainfall over southern China K. Xu et al. https://doi.org/10.1007/s00382-018-4170-y
604. Inversion Approach for Inferring Mixing State and Improving Optical Estimation of Coated Black Carbon Using Bulk-Volume Variables and Number-Size Distributions Z. Zhang et al. https://doi.org/10.1021/acs.est.5c10094
605. Larger Sensitivity of Arctic Precipitation Phase to Aerosol than Greenhouse Gas Forcing S. Pan et al. https://doi.org/10.1029/2020GL090452
606. Evaluation of 22 Precipitation and 23 Soil Moisture Products over a Semiarid Area in Southeastern Arizona* S. Stillman et al. https://doi.org/10.1175/JHM-D-15-0007.1
607. Optical Properties and Refractive Index of Wintertime Aerosol at a Highly Polluted North‐Indian Site T. Kapoor et al. https://doi.org/10.1029/2022JD038272
608. Microphysical process rates and global aerosol–cloud interactions A. Gettelman et al. https://doi.org/10.5194/acp-13-9855-2013
609. Potential sea salt aerosol sources from frost flowers in the pan‐Arctic region L. Xu et al. https://doi.org/10.1002/2015JD024713
610. Aerosol–climate interactions in the Norwegian Earth System Model – NorESM1-M A. Kirkevåg et al. https://doi.org/10.5194/gmd-6-207-2013
611. Ejection of Dust From the Ocean as a Potential Source of Marine Ice Nucleating Particles G. Cornwell et al. https://doi.org/10.1029/2020JD033073
612. Improving Aerosol Radiative Forcing and Climate in E3SM: Impacts of New Cloud Microphysics and Improved Wet Removal Treatments Y. Shan et al. https://doi.org/10.1029/2023MS004059
613. Aerosol optical properties over Europe: an evaluation of the AQMEII Phase 3 simulations against satellite observations L. Palacios-Peña et al. https://doi.org/10.5194/acp-19-2965-2019
614. Description and evaluation of a new four-mode version of the Modal Aerosol Module (MAM4) within version 5.3 of the Community Atmosphere Model X. Liu et al. https://doi.org/10.5194/gmd-9-505-2016
615. Disentangling fast and slow responses of the East Asian summer monsoon to reflecting and absorbing aerosol forcings Z. Wang et al. https://doi.org/10.5194/acp-17-11075-2017
616. Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al. https://doi.org/10.5194/acp-21-17727-2021
617. Gaseous chemistry and aerosol mechanism developments for version 3.5.1 of the online regional model, WRF-Chem S. Archer-Nicholls et al. https://doi.org/10.5194/gmd-7-2557-2014
618. Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty L. Li et al. https://doi.org/10.5194/acp-21-3973-2021
619. Transient Climate Impacts for Scenarios of Aerosol Emissions from Asia: A Story of Coal versus Gas B. Grandey et al. https://doi.org/10.1175/JCLI-D-15-0555.1
620. Impacts of global open-fire aerosols on direct radiative, cloud and surface-albedo effects simulated with CAM5 Y. Jiang et al. https://doi.org/10.5194/acp-16-14805-2016
621. Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model CAM5 Y. Qian et al. https://doi.org/10.1002/2014MS000354
622. Development and Evaluation of Chemistry‐Aerosol‐Climate Model CAM5‐Chem‐MAM7‐MOSAIC: Global Atmospheric Distribution and Radiative Effects of Nitrate Aerosol R. Zaveri et al. https://doi.org/10.1029/2020MS002346
623. Aerosol characteristics over the Tibetan Plateau simulated with a coupled aerosol–climate model (FGOALS-f3-L) 耦合气溶胶气候模式FGOALS-f3-L模拟青藏高原地区气溶胶特性 M. Zhao et al. https://doi.org/10.1016/j.aosl.2021.100031
624. Are Northern Hemisphere boreal forest fires more sensitive to future aerosol mitigation than to greenhouse gas–driven warming? R. Allen et al. https://doi.org/10.1126/sciadv.adl4007
625. Contributions of developed and developing countries to global climate forcing and surface temperature change D. Ward & N. Mahowald https://doi.org/10.1088/1748-9326/9/7/074008
626. Radiative effect and climate impacts of brown carbon with the Community Atmosphere Model (CAM5) H. Brown et al. https://doi.org/10.5194/acp-18-17745-2018
627. Ice formation on nitric acid‐coated dust particles: Laboratory and modeling studies G. Kulkarni et al. https://doi.org/10.1002/2014JD022637
628. Atmospheric responses to the redistribution of anthropogenic aerosols Y. Wang et al. https://doi.org/10.1002/2015JD023665
629. Sensitivity studies of dust ice nuclei effect on cirrus clouds with the Community Atmosphere Model CAM5 X. Liu et al. https://doi.org/10.5194/acp-12-12061-2012
630. Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability S. Ghan et al. https://doi.org/10.1073/pnas.1514036113
631. Persistent polar ocean warming in a strategically geoengineered climate J. Fasullo et al. https://doi.org/10.1038/s41561-018-0249-7
632. Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign K. Zhang et al. https://doi.org/10.5194/acp-13-4963-2013
633. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
634. Evaluation of preindustrial to present-day black carbon and its albedo forcing from Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) Y. Lee et al. https://doi.org/10.5194/acp-13-2607-2013
635. Anthropogenic combustion iron as a complex climate forcer H. Matsui et al. https://doi.org/10.1038/s41467-018-03997-0
636. 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
637. An Improved Representation of Aerosol Wet Removal by Deep Convection and Impacts on Simulated Aerosol Vertical Profiles Y. Shan et al. https://doi.org/10.1029/2020JD034173
638. Strong Influence of Aerosol Reductions on Future Heatwaves A. Zhao et al. https://doi.org/10.1029/2019GL082269
639. Modelled surface climate response to effusive Icelandic volcanic eruptions: sensitivity to season and size T. Zoëga et al. https://doi.org/10.5194/acp-25-2989-2025
640. Global source attribution of sulfate concentration and direct and indirect radiative forcing Y. Yang et al. https://doi.org/10.5194/acp-17-8903-2017
641. Pyrocumulonimbus Events Over British Columbia in 2017: An Ensemble Model Study of Parameter Sensitivities and Climate Impacts of Wildfire Smoke in the Stratosphere H. Lee et al. https://doi.org/10.1029/2022JD037648
642. A missing component of Arctic warming: black carbon from gas flaring M. Cho et al. https://doi.org/10.1088/1748-9326/ab374d
643. Aerosol effects on cirrus through ice nucleation in the Community Atmosphere Model CAM5 with a statistical cirrus scheme M. Wang et al. https://doi.org/10.1002/2014MS000339
644. Simulation study on the indirect effect of sulfate on the summer climate over the eastern China monsoon region D. Wang et al. https://doi.org/10.1038/s41598-021-87832-5
645. Putting the clouds back in aerosol–cloud interactions A. Gettelman https://doi.org/10.5194/acp-15-12397-2015
646. Toward reconciling the influence of atmospheric aerosols and greenhouse gases on light precipitation changes in Eastern China Y. Wang et al. https://doi.org/10.1002/2016JD024845
647. The sensitivity of global climate to the episodicity of fire aerosol emissions S. Clark et al. https://doi.org/10.1002/2015JD024068
648. Influence of Superparameterization and a Higher‐Order Turbulence Closure on Rainfall Bias Over Amazonia in Community Atmosphere Model Version 5 K. Zhang et al. https://doi.org/10.1002/2017JD026576
649. Asian monsoon simulations by Community Climate Models CAM4 and CCSM4 S. Islam et al. https://doi.org/10.1007/s00382-013-1752-6
650. Impact of aerosol radiative effects on 2000–2010 surface temperatures A. Gettelman et al. https://doi.org/10.1007/s00382-014-2464-2
651. An overview of black carbon deposition and its radiative forcing over the Arctic T. Dou & C. Xiao https://doi.org/10.1016/j.accre.2016.10.003
652. Orographic Cirrus and Its Radiative Forcing in NCAR CAM6 K. Lyu et al. https://doi.org/10.1029/2022JD038164
653. 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
654. Global dust distribution from improved thin dust layer detection using A‐train satellite lidar observations T. Luo et al. https://doi.org/10.1002/2014GL062111
655. Aerosol optical properties in the southeastern United States in summer – Part 1: Hygroscopic growth C. Brock et al. https://doi.org/10.5194/acp-16-4987-2016
656. The acidity of atmospheric particles and clouds H. Pye et al. https://doi.org/10.5194/acp-20-4809-2020
657. The role of circulation features on black carbon transport into the Arctic in the Community Atmosphere Model version 5 (CAM5) P. Ma et al. https://doi.org/10.1002/jgrd.50411
658. A Mineralogy‐Based Anthropogenic Combustion‐Iron Emission Inventory S. Rathod et al. https://doi.org/10.1029/2019JD032114
659. Constraining the atmospheric limb of the plastic cycle J. Brahney et al. https://doi.org/10.1073/pnas.2020719118
660. Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories M. Petrenko et al. https://doi.org/10.5194/acp-25-1545-2025
661. Global radiative effects of solid fuel cookstove aerosol emissions Y. Huang et al. https://doi.org/10.5194/acp-18-5219-2018
662. Global and Regional Electricity Components in Undisturbed Midlatitude Lower Atmosphere S. Anisimov et al. https://doi.org/10.1134/S1069351318050038
663. Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. https://doi.org/10.1002/2014JD022457
664. Role of updraft velocity in temporal variability of global cloud hydrometeor number S. Sullivan et al. https://doi.org/10.1073/pnas.1514039113
665. Emulating aerosol optics with randomly generated neural networks A. Geiss et al. https://doi.org/10.5194/gmd-16-2355-2023
666. Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties H. Zhu et al. https://doi.org/10.5194/acp-23-5023-2023
667. Geographically resolved social cost of anthropogenic emissions accounting for both direct and climate-mediated effects J. Burney et al. https://doi.org/10.1126/sciadv.abn7307
668. 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. https://doi.org/10.5194/gmd-17-1387-2024
669. Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations D. Alvim et al. https://doi.org/10.3390/rs13112231
670. CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2) T. Lovato et al. https://doi.org/10.1029/2021MS002814
671. Investigating the Linear Dependence of Direct and Indirect Radiative Forcing on Emission of Carbonaceous Aerosols in a Global Climate Model Y. Chen et al. https://doi.org/10.1002/2017JD027244
672. A statistical–numerical aerosol parameterization scheme J. Chen et al. https://doi.org/10.5194/acp-13-10483-2013
673. Disproportionate control on aerosol burden by light rain Y. Wang et al. https://doi.org/10.1038/s41561-020-00675-z
674. Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. https://doi.org/10.5194/acp-16-2611-2016
675. The Role of In‐Cloud Wet Removal in Simulating Aerosol Vertical Profiles and Cloud Radiative Forcing Y. Shan et al. https://doi.org/10.1029/2023JD038564
676. Potential health and economic impacts of shifting manufacturing from China to Indonesia or India Q. Ran et al. https://doi.org/10.1016/j.scitotenv.2022.158634
677. Numerical case study of the aerosol–cloud interactions in warm boundary layer clouds over the eastern North Atlantic with an interactive chemistry module H. Lee et al. https://doi.org/10.5194/acp-25-6069-2025
678. A 20-year simulated climatology of global dust aerosol deposition Y. Zheng et al. https://doi.org/10.1016/j.scitotenv.2016.03.086
679. The United States “warming hole”: Quantifying the forced aerosol response given large internal variability A. Banerjee et al. https://doi.org/10.1002/2016GL071567
680. Stratospheric Sulfate Aerosol Geoengineering Could Alter the High‐Latitude Seasonal Cycle J. Jiang et al. https://doi.org/10.1029/2019GL085758
681. Aerosols at the poles: an AeroCom Phase II multi-model evaluation M. Sand et al. https://doi.org/10.5194/acp-17-12197-2017
682. An updated aerosol simulation in the Community Earth System Model (v2.1.3): dust and marine aerosol emissions and secondary organic aerosol formation Y. Wang et al. https://doi.org/10.5194/gmd-17-7995-2024
683. Effects of Aerosols on Radiative Forcing and Climate Over East Asia With Different SO2 Emissions X. Xie et al. https://doi.org/10.3390/atmos7080099
684. Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution Y. Yang et al. https://doi.org/10.1029/2018JD030001
685. Deep learning representation of the aerosol size distribution D. Barahona et al. https://doi.org/10.5194/gmd-19-2437-2026
686. The underappreciated role of anthropogenic sources in atmospheric soluble iron flux to the Southern Ocean M. Liu et al. https://doi.org/10.1038/s41612-022-00250-w
687. Spatial and Temporal Trends in PM2.5Organic and Elemental Carbon across the United States J. Hand et al. https://doi.org/10.1155/2013/367674
688. MATCH-SALSA – Multi-scale Atmospheric Transport and CHemistry model coupled to the SALSA aerosol microphysics model – Part 1: Model description and evaluation C. Andersson et al. https://doi.org/10.5194/gmd-8-171-2015