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ACP | Articles | Volume 20, issue 5
Atmos. Chem. Phys., 20, 3041–3060, 2020
https://doi.org/10.5194/acp-20-3041-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 3041–3060, 2020
https://doi.org/10.5194/acp-20-3041-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 13 Mar 2020

Research article | 13 Mar 2020

The relationship between low-level cloud amount and its proxies over the globe by cloud type

Jihoon Shin and Sungsu Park

Data sets

ERA-Interim Project, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory European Centre for Medium-Range Weather Forecasts https://doi.org/10.5065/D6CR5RD9

Extended Edited Synoptic Cloud Reports Archive (EECRA) from Ships and Land Stations Over the Globe, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory Fleet Numerical Meteorology and Oceanography Center https://doi.org/10.5065/VA78-8E98

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In this work, we show that the previously identified strong spatiotemporal correlation relationship between the low-level cloud amount (LCA) and its large-scale environmental proxy, the estimated low-level cloud fraction (ELF), holds for various low-level cloud types over the globe rather than for a specific cloud type. However, we also identify several weaknesses of the ELF and suggest a potential pathway to further improve it in the future as a global proxy for LCA.
In this work, we show that the previously identified strong spatiotemporal correlation...
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