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Multi-Angle Remote Sensing of Cumulus Geometry

Satellite remote sensing is the major source for statistics of cloud properties; however, accurate and robust methods for extracting both optical and geometrical characteristics of broken clouds have yet to be fully developed. Currently, most broken cloud retrieval schemes rely on spectral (e.g., microwave, visible, or infrared [IR]) observations from near-vertically pointing remote sensors (Rossow 1989; Minnis et al. 1992). Although the multi-spectral techniques can provide accurate retrievals of cloud fraction and mean optical depth, the estimation of other important parameters, such as cloud vertical thickness, are not as reliable.