THE INFLUENCE OF SATELLITE OBSERVATION ANGLE ON TROPICAL CYCLONE INTENSITY ESTIMATION USING THE DEVIATION ANGLE VARIANCE TECHNIQUE

The deviation angle variance (DAV) method was developed to objectively estimate tropical cyclone (TC) intensity from geostationary infrared (IR) brightness temperature data. Here, we demonstrate that improvements of 25% root mean square error (RMSE) in major hurricane intensity estimation (relative...

Full description

Bibliographic Details
Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Hu, Liang, Ritchie, Elizabeth, Tyo, Scott
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:
anzsrc-for: 0404 Geophysics
anzsrc-for: 0906 Electrical and Electronic Engineering
anzsrc-for: 0909 Geomatic Engineering
North Atlantic
Online Access:http://hdl.handle.net/1959.4/unsworks_64456
https://unsworks.unsw.edu.au/bitstreams/c28fa155-865c-425f-b1e0-a44d6a988ad9/download
https://doi.org/10.1109/TGRS.2019.2961363
Description
Summary:The deviation angle variance (DAV) method was developed to objectively estimate tropical cyclone (TC) intensity from geostationary infrared (IR) brightness temperature data. Here, we demonstrate that improvements of 25% root mean square error (RMSE) in major hurricane intensity estimation (relative to best track) can be obtained by considering the pixel-by-pixel satellite view angle in the estimation. Using data from the Chinese Fengyun 2E and 2F satellites for Super Typhoon Soudelor (2015), we demonstrate how the satellite observation angle can reduce the accuracy of intensity estimation, especially for the strongest TCs. Based on these results, an improved DAV estimator is developed using 12 years (2004-2015) of Geostationary Operational Environmental Satellite (GOES)-East satellite IR images over the North Atlantic basin.

Similar Items