Title :
Rainfall estimation from split window data
Author_Institution :
Meteorol. Res. Inst., Ibaraki, Japan
Abstract :
Optically thick clouds classified objectively from split window data (11 μm and 12 μm) on board NOAA-11 are compared with Radar-AMeDAS (Automated MEteorological Data Acquisition System) hourly rainfall data. Statistics for seven case studies during July-September, 1990 shows the 83% in probability of detection (POD), the 26% in false alarm ratio (FAR) and 22% in percent error (ERF) as an average. While, statistics for the single infrared technique shows 43% in POD, 13% in FAR and 32% in ERF. The split window technique is effective method in delineation for rain area from low level clouds. However, the technique is still not effective for the rainfall rate estimation. Since the rainfall rate is not a simple function of brightness temperature
Keywords :
atmospheric techniques; geophysical techniques; rain; remote sensing; 11 mum; 12 mum; IR; NOAA-11; atmosphere; cloud classification; false alarm ratio; far infrared method; measurement technique; probability of detection; rain rainfall; satellite remote sensing; split window; Brightness; Clouds; Data acquisition; Meteorology; Probability; Radar; Radiometry; Rain; Satellite broadcasting; Statistics;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322260
