Evaluation of the CMIP6 marine subtropical stratocumulus cloud albedo and its controlling factors

Jian, Bida; Li, Jiming; Wang, Guoyin; Zhao, Yuxin; Li, Yarong; Wang, Jing; Zhang, Min; Huang, Jianping

doi:https://doi.org/10.5194/acp-21-9809-2021

Articles | Volume 21, issue 12

https://doi.org/10.5194/acp-21-9809-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-9809-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 12

Research article

|

30 Jun 2021

Research article |

| 30 Jun 2021

Evaluation of the CMIP6 marine subtropical stratocumulus cloud albedo and its controlling factors

Bida Jian, Jiming Li, Guoyin Wang, Yuxin Zhao, Yarong Li, Jing Wang, Min Zhang, and Jianping Huang

Supplement

https://doi.org/10.5194/acp-21-9809-2021-supplement

Data sets

Single Scanner Footprint (SSF) CERES Science Team https://ceres.larc.nasa.gov/data/#single-scanner-footprint-ssf

Index of /archive/allData/61/ MODIS Science Team https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/61

MERRA-2 Global Modeling and Assimilation Office https://disc.gsfc.nasa.gov/datasets?keywords=MERRA-2

ESGF@DOE/LLNL ESGF https://esgf-node.llnl.gov/projects/esgf-llnl/

Download

Article (9224 KB)
Full-text XML

Short summary

We evaluate the performance of the AMIP6 model in simulating cloud albedo over marine subtropical regions and the impacts of different aerosol types and meteorological factors on the cloud albedo based on multiple satellite datasets and reanalysis data. The results show that AMIP6 demonstrates moderate improvement over AMIP5 in simulating the monthly variation in cloud albedo, and changes in different aerosol types and meteorological factors can explain ~65 % of the changes in the cloud albedo.