In developed countries, precipitation forecasting generally involves integrating data from weather stations, radiosondes, Doppler radar and weather satellites, not to mention numerical forecasting using supercomputers. Needless to say, such systems are not available in all parts of the world.
However, often an estimate of how much rain has fallen recently in or around the area of interest is sufficient. For this, the University of California-Irvine’s Center for Hydrometeorology and Remote Sensing (CHRS; http://chrs.web.uci.edu/
), along with UNESCO-IHP’s arid regions program G-WADI (www.gwadi.org
), have developed solutions for both personal computers and mobile-devices. Read More...