Cloud rainfall estimation with multi-attribute typhoon data and edge extraction

Author

Song, Yan ; Qin, Donghua ; Liao, Xiaolu ; Tian, Yugang

Author_Institution

Coll. of Inf. Eng., China Univ. of Geosci., Wuhan, China

Volume

5

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

2139

Lastpage

2143

Abstract

Quantitative estimation of the typhoon rainfall is one of the focus in the typhoon research field. In this paper, in order to improve estimation accuracy in the scope and rainfall, the authors use the cloud classify rainfall forecast model based on edge extraction with multi-attribute typhoon data such as infrared data, water vapor data and temperature of brightness blackbody (TBB) data etc. First of all, we use the edge extraction to get the outline of the rainfall, then use the cloud classify rainfall estimation model to obtain the predicted rainfall in the inner area. At last, authors take "Phoenix" typhoon, in 2008, as an example to improve the estimation accuracy in rainfall distribution as well as the cloud rainfall by using the method of cloud rainfall estimation with multi-attribute typhoon data and edge extraction.

Keywords

atmospheric techniques; clouds; edge detection; estimation theory; geophysical image processing; rain; weather forecasting; TBB; cloud classify rainfall estimation model; edge extraction; infrared data; multiattribute typhoon data; quantitative estimation; rainfall forecast model; temperature of brightness blackbody data; typhoon rainfall; water vapor data; Accuracy; Clouds; Data mining; Estimation; Image edge detection; Rain; Typhoons; edge extraction; multi-attribute data; rainfall estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647317

Filename

5647317