Journal
MONTHLY WEATHER REVIEW
Volume 144, Issue 3, Pages 1219-1229Publisher
AMER METEOROLOGICAL SOC
DOI: 10.1175/MWR-D-15-0273.1
Keywords
Cloud cover; Cloud parameterizations; Physical Meteorology and Climatology; Models and modeling
Categories
Funding
- Korea Meteorological Administration (KMA)
- Korea Meteorological Administration [NGMDP-2] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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In this study, a revised prognostic cloud fraction scheme for atmospheric models is proposed and its performance is evaluated with a diagnostic cloud fraction scheme. A revision is proposed through a direct linkage between hydrometeors in the cumulus parameterization scheme and the amount of predicted cloud fractions. Cloud fractions that are determined via the prognostic cloud fraction scheme appear to be more realistic than those determined via a diagnostic cloud fraction scheme when both are compared with satellite data. In a medium-range forecast test bed, the biases of large-scale features such as temperature, geopotential height, and mean sea level pressure are moderately reduced when the prognostic cloud fraction scheme is used.
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