Journal of Geophysical Research Atmospheres · 2018 · 68 citations · 55 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ScienceCloud PhysicsRemote SensingAerosol-cloud InteractionsCloud MicrophysicsCloud ProcessesCloud PropertiesCloud Radiative EffectsCloud Remote SensingCloud CharacterizationCloud Droplet Number Concentration RetrievalCloud Fraction EstimationCloud Microphysical RetrievalsCloud Microphysics RetrievalsCloud Radiative Property RetrievalFractional Cover MappingMarine Clouds
Abstract 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%).
55
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Bruce Albrecht · Science · 1989 · 5K citations
Smoking Rain Clouds over the Amazon
Meinrat O. Andreae, Daniel Rosenfeld, Paulo Artaxo et al. · Science · 2004 · 1.7K citations