Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique

C. Stark; E. A. Ritchie; J. S. Tyo

doi:10.1109/IGARSS.2019.8898053

Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique

C. Stark, E. A. Ritchie, J. S. Tyo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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.

Original language	English (US)
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	9342-9345
Number of pages	4
ISBN (Electronic)	9781538691540
DOIs	https://doi.org/10.1109/IGARSS.2019.8898053
State	Published - Jul 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: Jul 28 2019 → Aug 2 2019

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	7/28/19 → 8/2/19

Keywords

DAV-T
IR satellite image
Tropical Cyclone
brightness temperatures
wind radii

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2019.8898053

Cite this

Stark, C., Ritchie, E. A., & Tyo, J. S. (2019). Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 9342-9345). Article 8898053 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2019.8898053

Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique. / Stark, C.; Ritchie, E. A.; Tyo, J. S.
2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 9342-9345 8898053 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Stark, C, Ritchie, EA & Tyo, JS 2019, Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique. in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings., 8898053, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 9342-9345, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 7/28/19. https://doi.org/10.1109/IGARSS.2019.8898053

Stark C, Ritchie EA, Tyo JS. Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 9342-9345. 8898053. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2019.8898053

Stark, C. ; Ritchie, E. A. ; Tyo, J. S. / Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique. 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 9342-9345 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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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",

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N2 - 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.

AB - 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.

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Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique

Abstract

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Keywords

ASJC Scopus subject areas

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