32 citations as recorded by crossref.

1. Aerosol–Stratocumulus–Radiation Interactions over the Southeast Pacific G. Chen et al. https://doi.org/10.1175/JAS-D-14-0319.1
2. Observed and CMIP5‐Simulated Radiative Flux Variability Over West Africa A. Mackie et al. https://doi.org/10.1029/2019EA001017
3. Long-term cloud fraction biases in CMIP5 GCMs over India during monsoon season K. Sindhu & S. Sahany https://doi.org/10.1007/s00704-018-02760-1
4. Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. https://doi.org/10.1029/2018MS001596
5. Characterizing the Radiative Effect of Rain Using a Global Ensemble of Cloud Resolving Simulations P. Hill et al. https://doi.org/10.1029/2018MS001415
6. A statistical and process-oriented evaluation of cloud radiative effects in high-resolution global models M. Thomas et al. https://doi.org/10.5194/gmd-12-1679-2019
7. Evaluation of autoconversion schemes in a single model framework with satellite observations T. Michibata & T. Takemura https://doi.org/10.1002/2015JD023818-T
8. Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System J. Ridout et al. https://doi.org/10.1029/2019MS002006
9. The Climatic Importance of Uncertainties in Regional Aerosol–Cloud Radiative Forcings over Recent Decades L. Regayre et al. https://doi.org/10.1175/JCLI-D-15-0127.1
10. Using two-stream theory to capture fluctuations of satellite-perceived TOA SW radiances reflected from clouds over ocean F. Tornow et al. https://doi.org/10.5194/amt-13-3909-2020
11. A comparison of Aqua MODIS ice and liquid water cloud physical and optical properties between collection 6 and collection 5.1: Cloud radiative effects B. Yi et al. https://doi.org/10.1002/2016JD025654
12. Cloud parameter retrievals from Meteosat and their effects on the shortwave radiation at the surface V. Salgueiro et al. https://doi.org/10.1080/01431161.2017.1280630
13. Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration H. Rybka & H. Tost https://doi.org/10.5194/gmd-13-2671-2020
14. Reassessing the Effect of Cloud Type on Earth’s Energy Balance in the Age of Active Spaceborne Observations. Part I: Top of Atmosphere and Surface T. L’Ecuyer et al. https://doi.org/10.1175/JCLI-D-18-0753.1
15. Aerosol–Stratocumulus–Radiation Interactions over the Southeast Pacific: Implications to the Underlying Air–Sea Coupling G. Chen & W. Wang https://doi.org/10.1175/JAS-D-15-0277.1
16. Impacts of Interactive Stratospheric Chemistry on Antarctic and Southern Ocean Climate Change in the Goddard Earth Observing System, Version 5 (GEOS-5) F. Li et al. https://doi.org/10.1175/JCLI-D-15-0572.1
17. The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations J. Shonk et al. https://doi.org/10.5194/amt-12-5087-2019
18. Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models E. Moreno-Chamarro et al. https://doi.org/10.5194/gmd-15-269-2022
19. Impact of Subgrid Variation of Water Vapor on Longwave Radiation in a General Circulation Model S. Kim et al. https://doi.org/10.1029/2019MS001926
20. Interaction between cloud–radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model L. Gonçalves et al. https://doi.org/10.5194/acp-22-15509-2022
21. Projection of Cloud Vertical Structure and Radiative Effects Along the South Asian Region in CMIP6 Models P. Khardekar et al. https://doi.org/10.3390/atmos16060746
22. Direct observations of the multi-year seasonal mean diurnal variations of TOA cloud radiative forcing over tropics using Megha-Tropiques-ScaRaB/3 A. Gupta et al. https://doi.org/10.1007/s00382-020-05441-w
23. EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. https://doi.org/10.5194/gmd-14-5637-2021
24. Antarctic sea ice surface temperature bias in atmospheric reanalyses induced by the combined effects of sea ice and clouds Z. Wang et al. https://doi.org/10.1038/s43247-024-01692-1
25. Reducing the biases in shortwave cloud radiative forcing in tropical and subtropical regions from the perspective of boundary layer processes W. Sun et al. https://doi.org/10.1007/s11430-016-5290-z
26. Uncertainty in the magnitude of aerosol‐cloud radiative forcing over recent decades L. Regayre et al. https://doi.org/10.1002/2014GL062029
27. Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF L. Regayre et al. https://doi.org/10.5194/acp-18-9975-2018
28. Evaluation of Surface Radiative Fluxes over the Tropical Oceans in AMIP Simulations X. Zhou et al. https://doi.org/10.3390/atmos10100606
29. FORUM: Unique Far-Infrared Satellite Observations to Better Understand How Earth Radiates Energy to Space L. Palchetti et al. https://doi.org/10.1175/BAMS-D-19-0322.1
30. Characteristics and Formation Mechanism of the Cloud Vertical Structure Over the Southeastern Tibetan Plateau in Summer J. Ma et al. https://doi.org/10.1029/2022EA002811
31. Cloud–Radiation Feedback as a Leading Source of Uncertainty in the Tropical Pacific SST Warming Pattern in CMIP5 Models J. Ying & P. Huang https://doi.org/10.1175/JCLI-D-15-0796.1
32. The Implications for Radiative Cloud Forcing via the Link Between Shallow Convection and Planetary Boundary Layer Mixing R. Park & Y. Kwon https://doi.org/10.1029/2018JD028678