chrsdata.eng.uci.edu
How to download 1-hourly, 3-hourly, 6-hourly, daily, monthly, yearly rainfall data & visualize in excel
PERSIANN-Cloud Classification System (PERSIANN-CCS) is a real-time global high resolution (0.04° x 0.04° or 4km x 4km;) satellite precipitation product developed by the Center for Hydrometeorology and Remote Sensing (CHRS) Data Period: January 2003 - Present Coverage: 60°S to 60°N at the University of California, Irvine (UCI). PERSIANN-CCS system enables the categorization of cloud-patch features based on cloud height, areal extent, and variability of texture estimated from satellite imagery. At the heart of PERSIANN-CCS is the variable threshold cloud segmentation algorithm. In contrast with the traditional constant threshold approach, the variable threshold enables the identification and separation of individual patches of clouds. The individual patches can then be classified based on texture, geometric properties, dynamic evolution, and cloud top height. These classifications help in assigning rainfall values to pixels within each cloud based on a specific curve describing the relationship between rain-rate and brightness temperature