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

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Authors

Shin, Jihoon; Park, Sungsu

Issue Date
2020-03
Publisher
European Geophysical Society
Citation
Atmospheric Chemistry and Physics, Vol.20 No.5, pp.3041-3060
Abstract
We extend upon previous work to examine the relationship between low-level cloud amount (LCA) and various proxies for LCA - estimated low-level cloud fraction (ELF), lower tropospheric stability (LTS), and estimated inversion strength (EIS) - by low-level cloud type (CL) over the globe using individual surface and upper-air observations. Individual CL has its own distinct environmental structure, and therefore our extended analysis by CL can provide insights into the strengths and weaknesses of various proxies and help to improve them. Overall, ELF performs better than LTS and EIS in diagnosing the variations in LCA among various CLs, indicating that a previously identified superior performance of ELF compared to LTS and EIS as a global proxy for LCA comes from its realistic correlations with various CLs rather than with a specific CL. However, ELF, LTS, and EIS have a problem in diagnosing the changes in LCA when noCL (no low-level cloud) is reported and also when Cu (cumulus) is reported over deserts where background stratus does not exist. This incorrect diagnosis of noCL as a cloudy condition is more clearly seen in the analysis of individual CL frequencies binned by proxy values. If noCL is excluded, ELF, LTS, and EIS have good inter-CL correlations with the amount when present (AWP) of individual CLs. In the future, an advanced ELF needs to be formulated to deal with the decrease in LCA when the inversion base height is lower than the lifting condensation level to diagnose cumulus updraft fraction, as well as the amount of stratiform clouds and detrained cumulus, and to parameterize the scale height as a function of appropriate environmental variables.
ISSN
1680-7316
URI
https://hdl.handle.net/10371/195989
DOI
https://doi.org/10.5194/acp-20-3041-2020
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