690 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. Impact of stratospheric aerosol geoengineering implemented only in the winter hemispheres on the ITCZ and tropical monsoon regions T. Kallihosur & G. Bala https://doi.org/10.1088/2752-5295/ae7200
163. Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. https://doi.org/10.5194/acp-22-9265-2022
164. 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
165. 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
166. 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
167. 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
168. 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
169. Future aerosol reductions and widening of the northern tropical belt R. Allen & O. Ajoku https://doi.org/10.1002/2016JD024803
170. 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
171. Aerosol forcing based on CAM5 and AM3 meteorological fields C. Zhou et al. https://doi.org/10.5194/acp-12-9629-2012
172. 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
173. 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
174. 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
175. Enhanced marine sulphur emissions offset global warming and impact rainfall B. Grandey & C. Wang https://doi.org/10.1038/srep13055
176. 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
177. 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
178. 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
179. 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
180. 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
181. 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
182. Distinct response of atmospheric water cycle in China drylands J. Gao¹ et al. https://doi.org/10.1007/s00704-024-05016-3
183. 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
184. 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
185. 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
186. 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
187. 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
188. Initial atmospheric conditions control transport of volcanic volatiles, forcing and impacts Z. Zhuo et al. https://doi.org/10.5194/acp-24-6233-2024
189. 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
190. 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
191. 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
192. 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
193. 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
194. Rain‐aerosol relationships influenced by wind speed Y. Yang et al. https://doi.org/10.1002/2016GL067770
195. 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
196. 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
197. 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
198. 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
199. Trends in vertical wind velocity variability reveal cloud microphysical feedback D. Barahona et al. https://doi.org/10.1038/s41467-025-67541-7
200. 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
201. 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
202. The AeroCom evaluation and intercomparison of organic aerosol in global models K. Tsigaridis et al. https://doi.org/10.5194/acp-14-10845-2014
203. Interannual modulation of subtropical Atlantic boreal summer dust variability by ENSO M. DeFlorio et al. https://doi.org/10.1007/s00382-015-2600-7
204. 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
205. 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
206. 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
207. Double Trouble of Air Pollution by Anthropogenic Dust W. Xia et al. https://doi.org/10.1021/acs.est.1c04779
208. 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
209. 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
210. 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
211. 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
212. 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
213. 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
214. 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
215. Testing the sensitivity of past climates to the indirect effects of dust N. Sagoo & T. Storelvmo https://doi.org/10.1002/2017GL072584
216. 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
217. Effects of anthropogenic aerosols on the evolution of Indian summer monsoon K. Huang et al. https://doi.org/10.1007/s44195-023-00041-7
218. 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
219. Climate Forcing and Trends of Organic Aerosols in the Community Earth System Model (CESM2) S. Tilmes et al. https://doi.org/10.1029/2019MS001827
220. Patterns and Mechanisms of Northeast Pacific Temperature Response to Pliocene Boundary Conditions P. Brennan et al. https://doi.org/10.1029/2021PA004370
221. 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
222. DMS role in ENSO cycle in the tropics L. Xu et al. https://doi.org/10.1002/2016JD025333
223. 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
224. Global Mean Climate and Main Patterns of Variability in the CMCC‐CM2 Coupled Model A. Cherchi et al. https://doi.org/10.1029/2018MS001369
225. 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
226. 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
227. Meteorology-driven PM2.5 interannual variability over East Asia C. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.166911
228. Potential climate forcing of land use and land cover change D. Ward et al. https://doi.org/10.5194/acp-14-12701-2014
229. Ocean mediation of tropospheric response to reflecting and absorbing aerosols Y. Xu & S. Xie https://doi.org/10.5194/acp-15-5827-2015
230. CMCCCCESMMNEMO: Toward the New CMCC Earth System Model P. Fogli & D. Iovino https://doi.org/10.2139/ssrn.2603176
231. Seasonality in anthropogenic aerosol effects on East Asian climate simulated with CAM5 Y. Jiang et al. https://doi.org/10.1002/2015JD023451
232. 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
233. 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
234. 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
235. To what extent can cirrus cloud seeding counteract global warming? B. Gasparini et al. https://doi.org/10.1088/1748-9326/ab71a3
236. 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
237. 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
238. 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
239. Improvement and Uncertainties of Global Simulation of Sulfate Concentration and Radiative Forcing in CESM2 W. Ge et al. https://doi.org/10.1029/2022JD037623
240. 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
241. 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
242. 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
243. 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
244. 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
245. Anthropogenic aerosols can shape the winter mid-latitude cyclone tracks D. Cao et al. https://doi.org/10.1038/s41612-026-01377-w
246. 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
247. 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
248. 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
249. Evaluation of the Atmospheric Boundary-Layer Electrical Variability S. Anisimov et al. https://doi.org/10.1007/s10546-017-0328-0
250. 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
251. 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
252. Polar clouds and radiation in satellite observations, reanalyses, and climate models J. Lenaerts et al. https://doi.org/10.1002/2016GL072242
253. Global Climate and Human Health Effects of the Gasoline and Diesel Vehicle Fleets Y. Huang et al. https://doi.org/10.1029/2019GH000240
254. 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
255. Global Wildfire Plume‐Rise Data Set and Parameterizations for Climate Model Applications Z. Ke et al. https://doi.org/10.1029/2020JD033085
256. 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
257. Quantifying the Efficiency of Stratospheric Aerosol Geoengineering at Different Altitudes W. Lee et al. https://doi.org/10.1029/2023GL104417
258. 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
259. 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
260. 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
261. 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
262. Dust-wind interactions can intensify aerosol pollution over eastern China Y. Yang et al. https://doi.org/10.1038/ncomms15333
263. 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
264. 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
265. Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. https://doi.org/10.1029/2023JD038581
266. Community Integrated Earth System Model (CIESM): Description and Evaluation Y. Lin et al. https://doi.org/10.1029/2019MS002036
267. 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
268. 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
269. Effects of sulfate aerosol forcing on East Asian summer monsoon for 1985–2010 M. Kim et al. https://doi.org/10.1002/2015GL067124
270. 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
271. 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
272. Aerosol absorption optical depth of fine-mode mineral dust in eastern China T. Zhang & H. Liao https://doi.org/10.1080/16742834.2015.1126154
273. Climate effects of China’s efforts to improve its air quality Y. Zheng et al. https://doi.org/10.1088/1748-9326/ab9e21
274. 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
275. Climate effects of aerosols reduce economic inequality Y. Zheng et al. https://doi.org/10.1038/s41558-020-0699-y
276. 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
277. Aerosol Optical Depth and Burden From Large Sea Salt Particles K. Fei et al. https://doi.org/10.1029/2018JD029814
278. Intercomparison of the cloud water phase among global climate models M. Komurcu et al. https://doi.org/10.1002/2013JD021119
279. 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
280. 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
281. 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
282. 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
283. 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
284. The Regional Hydroclimate Response to Stratospheric Sulfate Geoengineering and the Role of Stratospheric Heating I. Simpson et al. https://doi.org/10.1029/2019JD031093
285. Can cirrus cloud seeding be used for geoengineering? J. Penner et al. https://doi.org/10.1002/2015GL065992
286. 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
287. 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
288. 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
289. 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
290. 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
291. 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
292. Role and Mechanisms of Black Carbon Affecting Water Vapor Transport to Tibet M. Luo et al. https://doi.org/10.3390/rs12020231
293. 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
294. Metamodeling of Droplet Activation for Global Climate Models D. Rothenberg & C. Wang https://doi.org/10.1175/JAS-D-15-0223.1
295. 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
296. 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
297. 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
298. 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
299. 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
300. 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
301. 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
302. Atmospheric chemistry enhances the climate mitigation potential of tree restoration R. Allen et al. https://doi.org/10.1038/s43247-025-02343-9
303. Efficacy of black carbon aerosols: the role of shortwave cloud feedback A. Modak & G. Bala https://doi.org/10.1088/1748-9326/ab21e7
304. 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
305. 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
306. 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
307. Radiative forcing in the ACCMIP historical and future climate simulations D. Shindell et al. https://doi.org/10.5194/acp-13-2939-2013
308. 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
309. Simulating Miocene Warmth: Insights From an Opportunistic Multi‐Model Ensemble (MioMIP1) N. Burls et al. https://doi.org/10.1029/2020PA004054
310. 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
311. 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
312. 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
313. 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
314. 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
315. 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
316. 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
317. 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
318. 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
319. 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
320. 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
321. 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
322. The Engineering of Climate Engineering D. MacMartin & B. Kravitz https://doi.org/10.1146/annurev-control-053018-023725
323. Impact of Physics Parameterization Ordering in a Global Atmosphere Model A. Donahue & P. Caldwell https://doi.org/10.1002/2017MS001067
324. 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
325. The importance of aerosol scenarios in projections of future heat extremes Y. Xu et al. https://doi.org/10.1007/s10584-015-1565-1
326. 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
327. 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
328. 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
329. 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
330. 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
331. 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
332. 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
333. 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
334. The POLARCAT Model Intercomparison Project (POLMIP): overview and evaluation with observations L. Emmons et al. https://doi.org/10.5194/acp-15-6721-2015
335. 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
336. Development of a global aerosol model using a two‐dimensional sectional method: 1. Model design H. Matsui https://doi.org/10.1002/2017MS000936
337. 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
338. 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
339. 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
340. 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
341. 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
342. 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
343. 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
344. Reallocation in modal aerosol models: impacts on predicting aerosol radiative effects T. Korhola et al. https://doi.org/10.5194/gmd-7-161-2014
345. 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
346. 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
347. 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
348. CESM1(WACCM) Stratospheric Aerosol Geoengineering Large Ensemble Project S. Tilmes et al. https://doi.org/10.1175/BAMS-D-17-0267.1
349. 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
350. 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
351. ARM-Led Improvements in Aerosols in Climate and Climate Models S. Ghan & J. Penner https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0033.1
352. 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
353. 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
354. 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
355. Reference aquaplanet climate in the Community Atmosphere Model, Version 5 B. Medeiros et al. https://doi.org/10.1002/2015MS000593
356. 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
357. 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
358. The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution J. Golaz et al. https://doi.org/10.1029/2018MS001603
359. 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
360. 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
361. 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
362. 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
363. Chicxulub impact winter sustained by fine silicate dust C. Senel et al. https://doi.org/10.1038/s41561-023-01290-4
364. 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
365. 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
366. 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
367. Conditional pathways-based climate attribution C. Wentland et al. https://doi.org/10.1007/s00382-026-08160-w
368. Parameterizing cloud condensation nuclei concentrations during HOPE L. Hande et al. https://doi.org/10.5194/acp-16-12059-2016
369. Recent advances in understanding secondary organic aerosol: Implications for global climate forcing M. Shrivastava et al. https://doi.org/10.1002/2016RG000540
370. 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
371. 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
372. 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
373. 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
374. 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
375. Positive feedback to regional climate enhances African wildfires A. Zhang et al. https://doi.org/10.1016/j.isci.2023.108533
376. A pathway analysis of global aerosol processes N. Schutgens & P. Stier https://doi.org/10.5194/acp-14-11657-2014
377. Improving organic aerosol treatments in CESM/CAM5: Development, application, and evaluation T. Glotfelty et al. https://doi.org/10.1002/2016MS000874
378. 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
379. 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
380. 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
381. 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
382. 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
383. Cirrus cloud seeding: a climate engineering mechanism with reduced side effects? T. Storelvmo et al. https://doi.org/10.1098/rsta.2014.0116
384. 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
385. 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
386. 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
387. 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
388. 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
389. 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
390. 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
391. 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
392. Evaluation of the Causes of Wet‐Season Dry Biases Over Amazonia in CAM5 H. Ma et al. https://doi.org/10.1029/2020JD033859
393. 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
394. 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
395. Description and Climate Simulation Performance of CAS‐ESM Version 2 H. Zhang et al. https://doi.org/10.1029/2020MS002210
396. The Whole Atmosphere Community Climate Model Version 6 (WACCM6) A. Gettelman et al. https://doi.org/10.1029/2019JD030943
397. 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
398. Large influence of dust on the Precambrian climate P. Liu et al. https://doi.org/10.1038/s41467-020-18258-2
399. 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
400. 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
401. 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
402. 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
403. 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
404. Impacts of the East Asian Monsoon on springtime dust concentrations over China S. Lou et al. https://doi.org/10.1002/2016JD024758
405. Indian Ocean warming modulates global atmospheric circulation trends S. Dhame et al. https://doi.org/10.1007/s00382-020-05369-1
406. 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
407. 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
408. 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
409. 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
410. Biomass burning aerosols in most climate models are too absorbing H. Brown et al. https://doi.org/10.1038/s41467-020-20482-9
411. 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
412. 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
413. 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
414. 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
415. 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
416. Global Health and Climate Effects of Organic Aerosols from Different Sources D. Jo et al. https://doi.org/10.1021/acs.est.3c02823
417. Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. https://doi.org/10.1029/2019MS001851
418. South Asian Summer Monsoon under stratospheric aerosol intervention A. Asutosh et al. https://doi.org/10.1038/s41612-024-00875-z
419. 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
420. 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
421. 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
422. 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
423. 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
424. 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
425. The Effect of Aerosols to Climate Change and Society B. Zhang https://doi.org/10.4236/gep.2020.88006
426. 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
427. 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
428. Post-Monsoon Season Precipitation Reduction over South Asia: Impacts of Anthropogenic Aerosols and Irrigation W. Chen et al. https://doi.org/10.3390/atmos9080311
429. 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
430. Cirrus cloud seeding has potential to cool climate T. Storelvmo et al. https://doi.org/10.1029/2012GL054201
431. 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
432. 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
433. 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
434. 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
435. 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
436. 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
437. 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
438. The dependence of aerosols' global and local precipitation impacts on the emitting region G. Persad https://doi.org/10.5194/acp-23-3435-2023
439. 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
440. Influence of dimethyl sulfide on the carbon cycle and biological production S. Wang et al. https://doi.org/10.1007/s10533-018-0430-5
441. 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
442. Black Carbon in Climate Studies: A Bibliometric Analysis of Research Trends and Topics C. Chen et al. https://doi.org/10.3390/su16208945
443. 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
444. The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution P. Caldwell et al. https://doi.org/10.1029/2019MS001870
445. 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
446. 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
447. 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
448. The Community Earth System Model: A Framework for Collaborative Research J. Hurrell et al. https://doi.org/10.1175/BAMS-D-12-00121.1
449. 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
450. 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
451. Efficient In‐Cloud Removal of Aerosols by Deep Convection P. Yu et al. https://doi.org/10.1029/2018GL080544
452. 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
453. 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
454. Perturbation of Tropical Stratospheric Ozone Through Homogeneous and Heterogeneous Chemistry Due To Pinatubo Y. Peng et al. https://doi.org/10.1029/2023GL103773
455. 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
456. A dynamical pathway bridging African biomass burning and Asian summer monsoon D. Cao et al. https://doi.org/10.1007/s00382-021-05788-8
457. 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
458. Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. https://doi.org/10.5194/acp-23-2789-2023
459. Multimodel Surface Temperature Responses to Removal of U.S. Sulfur Dioxide Emissions A. Conley et al. https://doi.org/10.1002/2017JD027411
460. 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
461. 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
462. 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
463. Simulated responses of terrestrial aridity to black carbon and sulfate aerosols L. Lin et al. https://doi.org/10.1002/2015JD024100
464. 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
465. 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
466. 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
467. Sensitivity analysis of simulated SOA loadings using a variance‐based statistical approach M. Shrivastava et al. https://doi.org/10.1002/2015MS000554
468. 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
469. 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
470. 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
471. 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
472. 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
473. 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
474. 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
475. 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
476. Impacts of Shifts in Phytoplankton Community on Clouds and Climate via the Sulfur Cycle S. Wang et al. https://doi.org/10.1029/2017GB005862
477. 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
478. 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
479. 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
480. 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
481. 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
482. Trends and source apportionment of aerosols in Europe during 1980–2018 Y. Yang et al. https://doi.org/10.5194/acp-20-2579-2020
483. 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
484. 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
485. Size-resolved cloud droplet acidity over the US S. Kakavas et al. https://doi.org/10.1039/D5EA00067J
486. 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
487. 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
488. 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
489. 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
490. The EMEP MSC-W chemical transport model – technical description D. Simpson et al. https://doi.org/10.5194/acp-12-7825-2012
491. Short‐term time step convergence in a climate model H. Wan et al. https://doi.org/10.1002/2014MS000368
492. 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
493. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. https://doi.org/10.1029/2021RG000745
494. Simulated 2050 aviation radiative forcing from contrails and aerosols C. Chen & A. Gettelman https://doi.org/10.5194/acp-16-7317-2016
495. 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
496. 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
497. 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
498. Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. https://doi.org/10.5194/acp-22-11009-2022
499. 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
500. 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
501. Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
502. 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
503. Predictive modeling of atmospheric nuclear fallout microphysics D. McGuffin et al. https://doi.org/10.1016/j.scitotenv.2024.175536
504. 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
505. 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
506. 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
507. 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
508. 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
509. 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
510. The parametric sensitivity of CAM5's MJO J. Boyle et al. https://doi.org/10.1002/2014JD022507
511. 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
512. 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
513. Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme J. Shin & J. Baik https://doi.org/10.1029/2022MS003578
514. 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
515. 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
516. 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
517. 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
518. 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
519. 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
520. 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
521. 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
522. 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
523. 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
524. 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
525. 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
526. 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
527. 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
528. 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
529. 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
530. 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
531. 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
532. 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
533. 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
534. 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
535. Global volcanic aerosol properties derived from emissions, 1990–2014, using CESM1(WACCM) M. Mills et al. https://doi.org/10.1002/2015JD024290
536. Exacerbation of Indian Summer Monsoon Breaks by the Indirect Effect of Regional Dust Aerosols S. Surendran et al. https://doi.org/10.1029/2022GL101106
537. Indirect radiative forcing by ion-mediated nucleation of aerosol F. Yu et al. https://doi.org/10.5194/acp-12-11451-2012
538. 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
539. 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
540. 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
541. The global warming potential of near-surface emitted water vapour S. Sherwood et al. https://doi.org/10.1088/1748-9326/aae018
542. 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
543. Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations R. Wang et al. https://doi.org/10.1002/2015JD024326
544. 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
545. 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
546. Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5 Z. Ke et al. https://doi.org/10.1029/2021MS002845
547. 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
548. 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
549. 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
550. 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
551. 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
552. 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
553. 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
554. 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
555. 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
556. 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
557. 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
558. Short-term modulation of Indian summer monsoon rainfall by West Asian dust V. Vinoj et al. https://doi.org/10.1038/ngeo2107
559. 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
560. 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
561. 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
562. 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
563. 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
564. 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
565. 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
566. 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
567. Worldwide data sets constrain the water vapor uptake coefficient in cloud formation T. Raatikainen et al. https://doi.org/10.1073/pnas.1219591110
568. 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
569. 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
570. 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
571. On resolution sensitivity in the Community Atmosphere Model A. Herrington & K. Reed https://doi.org/10.1002/qj.3873
572. 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
573. 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
574. 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
575. 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
576. 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
577. Aerosol size distribution seasonal characteristics measured in Tiksi, Russian Arctic E. Asmi et al. https://doi.org/10.5194/acp-16-1271-2016
578. 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
579. An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models G. Chen et al. https://doi.org/10.1029/2022MS003501
580. 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
581. 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
582. 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
583. 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
584. 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
585. 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
586. Enhanced radiative cooling by large aerosol particles from wildfire-driven thunderstorms Y. Li et al. https://doi.org/10.1126/sciadv.adw6526
587. 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
588. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. https://doi.org/10.5194/acp-22-4737-2022
589. 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
590. 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
591. Investigating ice nucleation in cirrus clouds with an aerosol‐enabled Multiscale Modeling Framework C. Zhang et al. https://doi.org/10.1002/2014MS000343
592. 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
593. 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
594. 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
595. 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
596. Impacts of Suppressing Excessive Light Rain on Aerosol Radiative Effects and Health Risks Y. Wang et al. https://doi.org/10.1029/2021JD036204
597. Divergent surface urban heat island responses to background aerosol mitigation S. Liu et al. https://doi.org/10.1038/s44284-026-00463-7
598. 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
599. 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
600. Collective geographical ecoregions and precursor sources driving Arctic new particle formation J. Brean et al. https://doi.org/10.5194/acp-23-2183-2023
601. 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
602. 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
603. 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
604. 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
605. 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
606. 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
607. Larger Sensitivity of Arctic Precipitation Phase to Aerosol than Greenhouse Gas Forcing S. Pan et al. https://doi.org/10.1029/2020GL090452
608. 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
609. 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
610. Microphysical process rates and global aerosol–cloud interactions A. Gettelman et al. https://doi.org/10.5194/acp-13-9855-2013
611. Potential sea salt aerosol sources from frost flowers in the pan‐Arctic region L. Xu et al. https://doi.org/10.1002/2015JD024713
612. Aerosol–climate interactions in the Norwegian Earth System Model – NorESM1-M A. Kirkevåg et al. https://doi.org/10.5194/gmd-6-207-2013
613. 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
614. 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
615. 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
616. 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
617. 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
618. 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
619. 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
620. 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
621. 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
622. 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
623. 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
624. 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
625. 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
626. 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
627. 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
628. 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
629. Ice formation on nitric acid‐coated dust particles: Laboratory and modeling studies G. Kulkarni et al. https://doi.org/10.1002/2014JD022637
630. Atmospheric responses to the redistribution of anthropogenic aerosols Y. Wang et al. https://doi.org/10.1002/2015JD023665
631. 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
632. 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
633. Persistent polar ocean warming in a strategically geoengineered climate J. Fasullo et al. https://doi.org/10.1038/s41561-018-0249-7
634. 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
635. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
636. 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
637. Anthropogenic combustion iron as a complex climate forcer H. Matsui et al. https://doi.org/10.1038/s41467-018-03997-0
638. 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
639. 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
640. Strong Influence of Aerosol Reductions on Future Heatwaves A. Zhao et al. https://doi.org/10.1029/2019GL082269
641. 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
642. 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
643. 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
644. A missing component of Arctic warming: black carbon from gas flaring M. Cho et al. https://doi.org/10.1088/1748-9326/ab374d
645. 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
646. 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
647. Putting the clouds back in aerosol–cloud interactions A. Gettelman https://doi.org/10.5194/acp-15-12397-2015
648. 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
649. The sensitivity of global climate to the episodicity of fire aerosol emissions S. Clark et al. https://doi.org/10.1002/2015JD024068
650. 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
651. Asian monsoon simulations by Community Climate Models CAM4 and CCSM4 S. Islam et al. https://doi.org/10.1007/s00382-013-1752-6
652. Impact of aerosol radiative effects on 2000–2010 surface temperatures A. Gettelman et al. https://doi.org/10.1007/s00382-014-2464-2
653. 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
654. Orographic Cirrus and Its Radiative Forcing in NCAR CAM6 K. Lyu et al. https://doi.org/10.1029/2022JD038164
655. 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
656. 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
657. 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
658. The acidity of atmospheric particles and clouds H. Pye et al. https://doi.org/10.5194/acp-20-4809-2020
659. 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
660. A Mineralogy‐Based Anthropogenic Combustion‐Iron Emission Inventory S. Rathod et al. https://doi.org/10.1029/2019JD032114
661. Constraining the atmospheric limb of the plastic cycle J. Brahney et al. https://doi.org/10.1073/pnas.2020719118
662. 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
663. Global radiative effects of solid fuel cookstove aerosol emissions Y. Huang et al. https://doi.org/10.5194/acp-18-5219-2018
664. Global and Regional Electricity Components in Undisturbed Midlatitude Lower Atmosphere S. Anisimov et al. https://doi.org/10.1134/S1069351318050038
665. 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
666. Role of updraft velocity in temporal variability of global cloud hydrometeor number S. Sullivan et al. https://doi.org/10.1073/pnas.1514039113
667. Emulating aerosol optics with randomly generated neural networks A. Geiss et al. https://doi.org/10.5194/gmd-16-2355-2023
668. 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
669. 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
670. 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
671. Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations D. Alvim et al. https://doi.org/10.3390/rs13112231
672. CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2) T. Lovato et al. https://doi.org/10.1029/2021MS002814
673. 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
674. A statistical–numerical aerosol parameterization scheme J. Chen et al. https://doi.org/10.5194/acp-13-10483-2013
675. Disproportionate control on aerosol burden by light rain Y. Wang et al. https://doi.org/10.1038/s41561-020-00675-z
676. 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
677. 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
678. 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
679. 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
680. A 20-year simulated climatology of global dust aerosol deposition Y. Zheng et al. https://doi.org/10.1016/j.scitotenv.2016.03.086
681. The United States “warming hole”: Quantifying the forced aerosol response given large internal variability A. Banerjee et al. https://doi.org/10.1002/2016GL071567
682. Stratospheric Sulfate Aerosol Geoengineering Could Alter the High‐Latitude Seasonal Cycle J. Jiang et al. https://doi.org/10.1029/2019GL085758
683. Aerosols at the poles: an AeroCom Phase II multi-model evaluation M. Sand et al. https://doi.org/10.5194/acp-17-12197-2017
684. 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
685. 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
686. Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution Y. Yang et al. https://doi.org/10.1029/2018JD030001
687. Deep learning representation of the aerosol size distribution D. Barahona et al. https://doi.org/10.5194/gmd-19-2437-2026
688. 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
689. 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
690. 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