The PERSIANN-CCS uses computer image processing and pattern recognition techniques to develop a patch-based cloud classification and rainfall estimation system based on co-registered passive microwave and infrared images from Low Earth-orbiting and Geostationary satellites.
In this study, we report the intercomparison of diurnal variations of rainfall retrieved from PERSIANN-CCS and NAME NERN gage data within North American Monsoon area. These comparisons indicate that the PERSIANN-CCS at the selected resolutions produce estimates that are similar in magnitude and phase with NAME gage measurements. Our results by PERSIANN-CCS are:
1) Maximum rainfall occurs earlier in the day at high elevation than low elevations. 2) Maximum rainfall occurs earlier in the day in south than in north. 3) At most NAME gage stations, diurnal variations derived from PERSIANN-CCS have similar phase changes with NAME gage data, while more or less magnitude differences and variances exist.
Corresponding Author:
Name: Jiangtao Cheng Organization: University of California, Irvine Address: Civil & Environmental Engineering E/4130 Engineering Gateway Irvine, CA 92697-2175 E-mail: chengjt@uci.edu