Abstract
Hyperspectral measurement techniques in the visible to near infrared wavelength region offer unique possibilities for the remote sensing of clouds from aircraft or satellite. In this presentation two specific fields of cloud observations using hyperspectral reflectivity data are covered. First, three methods to estimate the fraction of ice (including its vertical distribution) in Arctic boundary layer clouds are introduced. Second, the effects due to nonspherical ice crystal shape and three-dimensional (3D) structure of cirrus on the retrieval of cloud optical and microphysical parameters are investigated. It is shown that shape–related effects are more important compared to 3D cloud structure for one specific case study.
© 2011 Optical Society of America
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