121 citations as recorded by crossref.

1. Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling Q. Tang et al.
2. 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.
3. The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results Q. Tang et al.
4. 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.
5. Development and Evaluation of an Explicit Treatment of Aerosol Processes at Cloud Scale Within a Multi‐Scale Modeling Framework (MMF) G. Lin et al.
6. Comparing the Radiative Forcings of the Anthropogenic Aerosol Emissions From Chile and Mexico T. Miinalainen et al.
7. Reduced effective radiative forcing from cloud–aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth system model S. Blichner et al.
8. Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1 H. Wan et al.
9. Assessing the Dynamic Versus Thermodynamic Origin of Climate Model Biases K. Wehrli et al.
10. The importance of considering sub-grid cloud variability when using satellite observations to evaluate the cloud and precipitation simulations in climate models H. Song et al.
11. Precipitation characteristics of CAM5 physics at mesoscale resolution during MC3E and the impact of convective timescale choice W. Gustafson et al.
12. Distinct Contributions of Ice Nucleation, Large‐Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5 Y. Wang et al.
13. Future vegetation–climate interactions in Eastern Siberia: an assessment of the competing effects of CO2 and secondary organic aerosols A. Arneth et al.
14. Global dust distribution from improved thin dust layer detection using A‐train satellite lidar observations T. Luo et al.
15. Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic H. Che et al.
16. Using the Atmospheric Radiation Measurement (ARM) Datasets to Evaluate Climate Models in Simulating Diurnal and Seasonal Variations of Tropical Clouds H. Wang et al.
17. Implementation of the MEGAN (v2.1) biogenic emission model in the ECHAM6-HAMMOZ chemistry climate model A. Henrot et al.
18. Relative importance of high-latitude local and long-range-transported dust for Arctic ice-nucleating particles and impacts on Arctic mixed-phase clouds Y. Shi et al.
19. Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions C. Beall et al.
20. Toward Understanding the Simulated Phase Partitioning of Arctic Single‐Layer Mixed‐Phase Clouds in E3SM M. Zhang et al.
21. Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? S. Fiddes et al.
22. Evaluation of the CAM6 Climate Model Using Cloud Observations at McMurdo Station, Antarctica J. Yip et al.
23. Improving thermodynamic nudging in the E3SM Atmosphere Model version 2 (EAMv2): strategy and hindcast skills on weather systems S. Zhang et al.
24. Bioindication and modelling of atmospheric deposition in forests enable exposure and effect monitoring at high spatial density across scales W. Schröder et al.
25. On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models S. Zhang et al.
26. Exploring Impacts of Size‐Dependent Evaporation and Entrainment in a Global Model I. Karset et al.
27. The Common Representative Intermediates Mechanism Version 2 in the United Kingdom Chemistry and Aerosols Model S. Archer‐Nicholls et al.
28. Source attribution of cloud condensation nuclei and their impact on stratocumulus clouds and radiation in the south-eastern Atlantic H. Che et al.
29. Impacts of Aerosol Dry Deposition on Black Carbon Spatial Distributions and Radiative Effects in the Community Atmosphere Model CAM5 M. Wu et al.
30. How does increasing horizontal resolution in a global climate model improve the simulation of aerosol‐cloud interactions? P. Ma et al.
31. Global source attribution of sulfate concentration and direct and indirect radiative forcing Y. Yang et al.
32. Modeling the Sulfate Aerosol Evolution After Recent Moderate Volcanic Activity, 2008–2012 C. Brodowsky et al.
33. Impacts of spatial heterogeneity of anthropogenic aerosol emissions in a regionally refined global aerosol–climate model T. Hassan et al.
34. Source attribution of black carbon and its direct radiative forcing in China Y. Yang et al.
35. The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0 M. Schultz et al.
36. Identifying Key Driving Processes of Major Recent Heat Waves K. Wehrli et al.
37. The decomposition of cloud–aerosol forcing in the UK Earth System Model (UKESM1) D. Grosvenor & K. Carslaw
38. Model representations of aerosol layers transported from North America over the Atlantic Ocean during the Two‐Column Aerosol Project J. Fast et al.
39. 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.
40. Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al.
41. Global and regional radiative forcing from 20 % reductions in BC, OC and SO4 – an HTAP2 multi-model study C. Stjern et al.
42. Does temperature nudging overwhelm aerosol radiative effects in regional integrated climate models? J. He et al.
43. 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.
44. Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM L. Garcia-Oliva et al.
45. The Art and Science of Climate Model Tuning F. Hourdin et al.
46. The linkage between stratospheric water vapor and surface temperature in an observation-constrained coupled general circulation model Y. Wang et al.
47. Improved subseasonal-to-seasonal precipitation prediction of climate models with nudging approach for better initialization of Tibetan Plateau-Rocky Mountain Circumglobal wave train and land surface conditions Y. Qin et al.
48. Carbon cycle and climate effects of forcing from fire-emitted aerosols J. Landry et al.
49. Biomass burning aerosol radiative effects in the Southeast Atlantic depend strongly on meteorological forcing method E. Giuffrida et al.
50. Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres M. Zhang et al.
51. Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al.
52. Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM J. Wang et al.
53. Towards an improved understanding of the impact of clouds and precipitation on the representation of aerosols over the Boreal Forest in GCMs S. Talvinen et al.
54. Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al.
55. Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al.
56. Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al.
57. Impact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations J. Sun et al.
58. Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al.
59. A multi-year short-range hindcast experiment with CESM1 for evaluating climate model moist processes from diurnal to interannual timescales H. Ma et al.
60. 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.
61. Global Radiative Impacts of Mineral Dust Perturbations Through Stratiform Clouds Z. McGraw et al.
62. Global transformation and fate of SOA: Implications of low‐volatility SOA and gas‐phase fragmentation reactions M. Shrivastava et al.
63. Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability S. Ghan et al.
64. Prescribing the aerosol effective radiative forcing in the Simple Cloud-Resolving E3SM Atmosphere Model v1 N. Mahfouz et al.
65. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al.
66. Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al.
67. An Evaluation of Marine Boundary Layer Cloud Property Simulations in the Community Atmosphere Model Using Satellite Observations: Conventional Subgrid Parameterization versus CLUBB H. Song et al.
68. Specified dynamics scheme impacts on wave-mean flow dynamics, convection, and tracer transport in CESM2 (WACCM6) N. Davis et al.
69. A production-tagged aerosol module for Earth system models, OsloAero5.3 – extensions and updates for CAM5.3-Oslo A. Kirkevåg et al.
70. The effect of atmospheric nudging on the stratospheric residual circulation in chemistry–climate models A. Chrysanthou et al.
71. Optimal Spectral Nudging for Global Dynamic Downscaling M. Schubert-Frisius et al.
72. Effects of black carbon mitigation on Arctic climate T. Kühn et al.
73. Upstream influence of midlatitude jet stream biases in boreal summer L. Boljka et al.
74. Sulfate Aerosol in the Arctic: Source Attribution and Radiative Forcing Y. Yang et al.
75. Evolution of aerosol optical depth over China in 2010–2024: increasing importance of meteorological influences C. Fan et al.
76. The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al.
77. BVOC–aerosol–climate feedbacks investigated using NorESM M. Sporre et al.
78. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al.
79. Contrasting the Role of Regional and Remote Circulation in Driving Asian Monsoon Biases in MetUM GA7.1 Z. Liu et al.
80. A spectral nudging method for the ACCESS1.3 atmospheric model P. Uhe & M. Thatcher
81. Machine learning-based downscaling of aerosol size distributions from a global climate model A. Vartiainen et al.
82. Can nudging be used to quantify model sensitivities in precipitation and cloud forcing? G. Lin et al.
83. Using radar observations to evaluate 3-D radar echo structure simulated by the Energy Exascale Earth System Model (E3SM) version 1 J. Wang et al.
84. Absorbing aerosols over Asia – an inter-model and model-observation comparison study using CAM5.3-Oslo L. Frey et al.
85. Separating radiative forcing by aerosol–cloud interactions and rapid cloud adjustments in the ECHAM–HAMMOZ aerosol–climate model using the method of partial radiative perturbations J. Mülmenstädt et al.
86. Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al.
87. Volcanic Radiative Forcing From 1979 to 2015 A. Schmidt et al.
88. How the extreme 2019–2020 Australian wildfires affected global circulation and adjustments F. Senf et al.
89. The E3SM version 1 single-column model P. Bogenschutz et al.
90. Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling T. Miinalainen et al.
91. Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles Y. Liu et al.
92. Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al.
93. The July 2019 European Heat Wave in a Warmer Climate: Storyline Scenarios with a Coupled Model Using Spectral Nudging A. Sánchez-Benítez et al.
94. Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al.
95. Synoptic systems influence the effectiveness of spectral nudging in high-resolution simulations of extreme precipitation D. Kwon et al.
96. Evaluating the Lagrangian Evolution of Subtropical Low Clouds in GCMs Using Observations: Mean Evolution, Time Scales, and Responses to Predictors R. Eastman et al.
97. The Impact of Resolving Subkilometer Processes on Aerosol‐Cloud Interactions of Low‐Level Clouds in Global Model Simulations C. Terai et al.
98. Minimal Climate Impacts From Short‐Lived Climate Forcers Following Emission Reductions Related to the COVID‐19 Pandemic J. Weber et al.
99. Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models S. Tai et al.
100. 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.
101. Evaluation of observed and modelled aerosol lifetimes using radioactive tracers of opportunity and an ensemble of 19 global models N. Kristiansen et al.
102. Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 1: assessing E3SM aerosol predictions using aircraft, ship, and surface measurements S. Tang et al.
103. Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation M. Bonazzola et al.
104. Storylines of the 2018 Northern Hemisphere heatwave at pre-industrial and higher global warming levels K. Wehrli et al.
105. Constraints on global aerosol number concentration, SO2 and condensation sink in UKESM1 using ATom measurements A. Ranjithkumar et al.
106. Development and basic evaluation of a prognostic aerosol scheme (v1) in the CNRM Climate Model CNRM-CM6 M. Michou et al.
107. Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity S. Fiedler et al.
108. Are Changes in Atmospheric Circulation Important for Black Carbon Aerosol Impacts on Clouds, Precipitation, and Radiation? B. Johnson et al.
109. Role of Troposphere‐Convection‐Land Coupling in the Southwestern Amazon Precipitation Bias of the Community Earth System Model Version 1 (CESM1) K. Sakaguchi et al.
110. A global model–measurement evaluation of particle light scattering coefficients at elevated relative humidity M. Burgos et al.
111. Fungal spores as a source of sodium salt particles in the Amazon basin S. China et al.
112. Molecular markers for fungal spores and biogenic SOA over the Antarctic Peninsula: Field measurements and modeling results J. Deng et al.
113. An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models H. Ma et al.
114. Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al.
115. 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.
116. Composite Aerosol Optical Depth Mapping over Northeast Asia from GEO-LEO Satellite Observations S. Ahn et al.
117. 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.
118. Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5 K. Zhang et al.
119. Unexpected Changes of Aerosol Burdens With Decreased Convection in the Context of Scale‐Aware Convection Schemes W. Xia et al.
120. Radiative forcing of anthropogenic aerosols on cirrus clouds using a hybrid ice nucleation scheme J. Zhu & J. Penner
121. Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing M. Pöhlker et al.