Abstract
This study develops a no-rain detection algorithm that takes advantage of CloudSat and MODIS observations to detect no-rain areas. The CloudSat surface precipitation occurrence data set is a reliable source to detect rain or no-rain based on CloudSat radar data. The backscatter of radar data due to presence of hydrometeors near the surface confirms the occurrence of rain. In this chapter, the CloudSat precipitation occurrence is used as a reliable source for rain detection. After explaining the methodology and data sources, the model training and results are presented.
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References
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Nasrollahi, N. (2015). Integration of CloudSat Precipitation Profile in Reduction of False Rain. 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_5
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DOI: https://doi.org/10.1007/978-3-319-12081-2_5
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