TY - JOUR
T1 - Influence of Satellite Observation Angle to Tropical Cyclone Intensity Estimation Using the Deviation Angle Variance Technique
AU - Hu, Liang
AU - Ritchie, Elizabeth A.
AU - Tyo, J. Scott
N1 - Funding Information:
Manuscript received May 26, 2019; revised October 10, 2019 and November 26, 2019; accepted December 10, 2019. Date of publication January 10, 2020; date of current version April 22, 2020. The work of Liang Hu was supported in part by the National Natural Science Foundation of China under Grant 41575045, Grant 41205030, and Grant 41175046. (Corresponding author: J. Scott Tyo.) Liang Hu is with the State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 10086, China, and also with the School of Science, University of New South Wales at Canberra, Canberra, ACT 2610, Australia (e-mail: huliang314@gmail.com).
Publisher Copyright:
© 1980-2012 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - 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.
AB - 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.
KW - Deviation angle variance (DAV)
KW - satellite observation angle
KW - tropical cyclone (TC) intensity estimation
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U2 - 10.1109/TGRS.2019.2961363
DO - 10.1109/TGRS.2019.2961363
M3 - Article
AN - SCOPUS:85083873683
VL - 58
SP - 3703
EP - 3710
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
SN - 0196-2892
IS - 5
M1 - 8956064
ER -