Share Email Print

Proceedings Paper

The automatic storm recognition, the track, and the early warning use the FY-2 satellite data
Author(s): Yuling Liu; Sen Li; Jianwen Liu; Zhuhua Zhou
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Based on the data from FY-2 meteorological satellite, this study investigates the potential of the satellite deep convection index and infrared multi-spectrum brightness temperature in identifying thunderstorm systems. To track the thunderstorm, we adopt the area overlap algorithm improved through the optical flow method. Based on these algorithms and continuous automatic tracking results, we seek to predict the location of thunderstorms by using linear extrapolation. It is proved that the combined usage of those algorithms is effective for thunderstorm identification, tracking and early-warning.

Paper Details

Date Published: 28 October 2010
PDF: 9 pages
Proc. SPIE 7859, Remote Sensing of the Atmosphere and Clouds III, 78590G (28 October 2010); doi: 10.1117/12.868296
Show Author Affiliations
Yuling Liu, Beijing Aviation Meteorological Institute (China)
Sen Li, Beijing Aviation Meteorological Institute (China)
Jianwen Liu, Beijing Aviation Meteorological Institute (China)
Zhuhua Zhou, Beijing Aviation Meteorological Institute (China)

Published in SPIE Proceedings Vol. 7859:
Remote Sensing of the Atmosphere and Clouds III
Sonoyo Mukai; Robert J. Frouin; Byung-Ju Sohn, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?