Abstract
There are numerous ongoing and planned efforts in remote sensing to characterize the key properties of clouds, aerosol, and water vapor as part of the endeavor to understand earth climate and predict how it may change due to natural and anthropogenic influences. An important challenge is properly detecting the three dimensional (3D) structure of clouds and aerosols, and accounting for the effects of this structure on radiative transfer. This is essential for reducing ambiguity in the retrieval of atmospheric properties and improving radiative parameterization in models. Making concurrent observation of water vapor and clouds on the same spatial and temporal scales is an additional challenge. Recent research has suggested that this type of measurement of cloud and water vapor is required to address gaps in present understanding of the hydrological cycle and how it couples with radiative transfer.
© 2005 Optical Society of America
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