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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery pp 21–32Cite as

Reducing False Rain in Satellite Precipitation Products Using Cloudsat Cloud Classification Maps and Modis Multi-spectral Images

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Abstract

Because clouds play important roles in producing precipitation and in Earth’s radiative balance, they are a key element in studies of weather and climate, water and energy cycles, and hydrologic analysis. Low clouds have an important effect on cooling the Earth, as they reflect sunlight back to space. High, thin clouds have the opposite effect, allowing incoming sunshine to pass through but trapping heat that is trying to escape from earth. Improving our understanding of cloud structures is the main step in global climate studies and precipitation algorithm development.

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Authors and Affiliations

  1. University of California, Irvine, California, USA

    Nasrin Nasrollahi

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  1. Nasrin Nasrollahi
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Correspondence to Nasrin Nasrollahi .

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Nasrollahi, N. (2015). Reducing False Rain in Satellite Precipitation Products Using Cloudsat Cloud Classification Maps and Modis Multi-spectral Images. In: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-12081-2_4

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