Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 5
Articles | Volume 24, issue 5
https://doi.org/10.5194/acp-24-3093-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-3093-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 5
Research article
 | 
12 Mar 2024
Research article |  | 12 Mar 2024

Influence of cloud retrieval errors due to three-dimensional radiative effects on calculations of broadband shortwave cloud radiative effect

Adeleke S. Ademakinwa, Zahid H. Tushar, Jianyu Zheng, Chenxi Wang, Sanjay Purushotham, Jianwu Wang, Kerry G. Meyer, Tamas Várnai, and Zhibo Zhang

Data sets

Dataset for manuscript "Influence of Cloud Retrieval Errors Due to Three Dimensional Radiative Effects on Calculations of Broadband Shortwave Cloud Radiative Effect" Adeleke Ademakinwa https://doi.org/10.5281/zenodo.10511732

LASSO LES data ARM LASSO Bundle Browser https://archive.arm.gov/lassobrowser

The Spherical Harmonics Discrete Ordinate Method for Three-Dimensional Atmospheric Radiative Transfer (https://coloradolinux.com/shdom/) K. Franklin Evans https://doi.org/10.1175/1520-0469(1998)055<0429:TSHDOM>2.0.CO;2

The I3RC Community Monte Carlo Radiative Transfer Model Robert Pincus https://github.com/RobertPincus/i3rc-monte-carlo-model

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Short summary
Clouds play a critical role in our climate system. At present and in the near future, satellite-based remote sensing is the only means to obtain regional and global observations of cloud properties. The current satellite remote sensing algorithms are mostly based on the so-called 1D radiative transfer. This deviation from the 3D world reality can lead to large errors. In this study we investigate how this error affects our estimation of cloud radiative effects.
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