Daytime Overlapping Cloud Detection in MODIS Data
Bryan A. Baum, Shaima L. Nasiri, Peiqi Yang
Abstract
Bryan A. Baum, Shaima L. Nasiri, Peiqi Yang
Abstract
Current efforts to derive a global cloud climatology from satellite data generally suffer in situations involving multilayered clouds. In fact, cloud properties are inferred for each imager pixel assuming only one cloud layer is present. Currently available satellite cloud climatologies provide a horizontal distribution of clouds, but need improvement in the description of the vertical distribution of clouds.
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Current efforts to derive a global cloud climatology from satellite data generally suffer in situations involving multilayered clouds. In fact, cloud properties are inferred for each imager pixel assuming only one cloud layer is present. Currently available satellite cloud climatologies provide a horizontal distribution of clouds, but need improvement in the description of the vertical distribution of clouds.
Key concepts: Cloud computing, Cloud top, Cloud fraction, Meteorology, Environmental science, Cloud cover, Cloud height, Satellite