Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery

• Main Author: Nasrollahi, Nasrin (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: Earth sciences.; Meteorology.; Atmospheric sciences.; Geophysics.; Environmental sciences.; Earth Sciences.; Atmospheric Sciences.; Geophysics and Environmental Physics.; Environmental Physics.

This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.  Using satellite data to estimate precipitation from space...

Table of Contents:

• Introduction to the Current States of Satellite Precipitation Products
• False Alarm in Satellite Precipitation Data
• Satellite Observations
• Reducing False Rain in Satellite Precipitation Products Using CloudSat Cloud Classification Maps and MODIS Multi-Spectral Images
• Integration of CloudSat Precipitation Profile in Reduction of False Rain
• Cloud Classification and its Application in Reducing False Rain
• Summary and Conclusions.