Rainfall estimation from split window data

Author

Inoue, Toshiro

Author_Institution

Meteorol. Res. Inst., Ibaraki, Japan

fYear

1993

fDate

18-21 Aug 1993

Firstpage

611

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1993.322260

Filename

322260