Temperature induced mean based cloud motion prediction model from satellite infrared images

Author

Goswami, Bhaswati ; Bhandari, Gupinath

Author_Institution

Dept. of Comput. Applic., Narula Inst. of Technol., Kolkata, India

fYear

2012

fDate

7-9 Dec. 2012

Firstpage

719

Lastpage

723

Abstract

Detection and identification of convective clouds can be done from thermal infrared (TIR) images (10.5-12.5μm) as clouds are associated with extremely low temperature. Clouds can be tracked from a given sequence of satellite images, and becomes useful for weather now-casting. There are several models available for cloud motion prediction. Adjusted Mean Based Prediction (AMBP) Model is one of them. A modified model of AMBP, based on temperature, for cloud movement tracking has been proposed and presented in this paper for better prediction.

Keywords

atmospheric techniques; atmospheric temperature; clouds; convection; adjusted mean based prediction model; cloud movement tracking; convective cloud identification; satellite image sequence; satellite infrared images; temperature induced mean based cloud motion prediction model; thermal infrared images; wavelength 10.5 mum to 12.5 mum; Clouds; Mathematical model; Meteorology; Predictive models; Satellites; Temperature; Tracking; AMBP; Cloud cluster; TIMP; center of mass; cloud motion prediction; k-means algorithm; temperature; thermal infrared images;

fLanguage

English

Publisher

ieee

Conference_Titel

India Conference (INDICON), 2012 Annual IEEE

Conference_Location

Kochi

Print_ISBN

978-1-4673-2270-6

Type

conf

DOI

10.1109/INDCON.2012.6420711

Filename

6420711