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Under What Conditions Can We Trust Retrieved Cloud Drop Concentrations in Broken Marine Stratocumulus?
Author(s) -
Zhu Yannian,
Rosenfeld Daniel,
Li Zhanqing
Publication year - 2018
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1029/2017jd028083
Subject(s) - marine stratocumulus , cloud computing , moderate resolution imaging spectroradiometer , cloud top , cloud fraction , cloud albedo , pixel , environmental science , satellite , cloud cover , meteorology , atmospheric sciences , cloud height , adiabatic process , radiative transfer , remote sensing , physics , geology , computer science , optics , astronomy , operating system , thermodynamics
In this study, we show how to obtain more reliable satellite‐retrieved cloud drop number concentrations (N d ) from Moderate Resolution Imaging Spectroradiometer (MODIS) standard cloud products. N d is important as a fundamental cloud property that determines cloud albedo, precipitation‐forming processes, cloud longevity, and fractional cover, all of which determine cloud radiative effects. N d is determined by cloud base aerosols and updrafts. Satellite retrievals of N d for marine stratocumulus clouds are performed based on the assumption of a nearly adiabatic cloud column. The retrievals, however, are fraught with problems that cause large biases (e.g., the retrieved N d for partially filled cloudy pixels are less than one third of the retrieved N d for the convective cores) and limit the usefulness of N d , especially in broken cloud fields. The N d of the brightest 10% of cloudy pixels are selected because the brightest clouds are the convective cores that most closely follow adiabatic parcels, a key assumption of our retrieval. It is shown that this criterion is representative of pixels that are also fully surrounded by cloudy pixels (N d agreement within 5%).