Examining cloud vertical structure and  radiative effects from satellite retrievals  and evaluation of CMIP6 scenarios

Luo, Hao; Quaas, Johannes; Han, Yong

doi:https://doi.org/10.5194/acp-23-8169-2023

Articles | Volume 23, issue 14

https://doi.org/10.5194/acp-23-8169-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-8169-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 14

Research article

|

21 Jul 2023

Research article |

| 21 Jul 2023

Examining cloud vertical structure and radiative effects from satellite retrievals and evaluation of CMIP6 scenarios

Hao Luo, Johannes Quaas, and Yong Han

Supplement

https://doi.org/10.5194/acp-23-8169-2023-supplement

Data sets

Variable descriptions of the A-Train integrated CALIPSO, CloudSat, CERES, and MODIS merged product (CCCM or C3M) (https://opendap.larc.nasa.gov/opendap/CERES/CCCM/Aqua-FM3-MODIS-CAL-CS_RelD1/contents.html) S. Kato, S.-H. Ham, W. F. Miller, S. Sun-Mack, F. G. Rose, Y. Chen, and P. E. Mlynczak https://ceres.larc.nasa.gov/documents/collect_guide/pdf/c3m_variables.RelD1.20211117.pdf

The CloudSat radar-lidar geometrical profile product (RL-GeoProf): Updates, improvements, and selected results (https://www.cloudsat.cira.colostate.edu/data-products/2b-geoprof-lidar) G. G. Mace and Q. Zhang https://doi.org/10.1002/2013JD021374

Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization (https://esgf-data.dkrz.de/search/cmip6-dkrz/) V. Eyring, S. Bony, G. A. Meehl, C. A. Senior, B. Stevens, R. J. Stouffer, and K. E. Taylor https://doi.org/10.5194/gmd-9-1937-2016

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Short summary

Clouds exhibit a wide range of vertical structures with varying microphysical and radiative properties. We show a global survey of spatial distribution, vertical extent and radiative effect of various classified cloud vertical structures using joint satellite observations from the new CCCM datasets during 2007–2010. Moreover, the long-term trends in CVSs are investigated based on different CMIP6 future scenarios to capture the cloud variations with different, increasing anthropogenic forcings.