@inproceedings{21a2eacd1f26415fa4e09e14c624247f,
title = "Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique",
abstract = "A multiple linear regression wind radii model developed in the North Atlantic basin based on the deviation angle variance technique was applied in the Australian region. The model was used to improve the historic database of 34-, 50- and 64-kt tropical cyclone (TC) wind radii estimates (R34, R50, and R64) for 374 TCs during the geostationary satellite era. Results during 2010-2016 produced quadrant mean absolute errors ranging between 49 and 61 km for the 34-kt radii, between 24 and 37 km for the 50-kt radii and between 20 and 25 km for the 64-kt radii.",
keywords = "DAV-T, IR satellite image, Tropical Cyclone, brightness temperatures, wind radii",
author = "C. Stark and Ritchie, {E. A.} and Tyo, {J. S.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",
year = "2019",
month = jul,
doi = "10.1109/IGARSS.2019.8898053",
language = "English (US)",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "9342--9345",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
}