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 Paper › Research

3 Citations (Scopus)

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
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	9342-9345
Number of pages	4
ISBN (Electronic)	9781538691540
DOIs	https://doi.org/10.1109/IGARSS.2019.8898053
Publication status	Published - 14 Nov 2019
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019 Conference number: 39th https://igarss2019.org/ (Website) https://ieeexplore.ieee.org/xpl/conhome/8891871/proceeding (Proceedings)

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium 2019
Abbreviated title	IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19
Internet address	https://igarss2019.org/ (Website) https://ieeexplore.ieee.org/xpl/conhome/8891871/proceeding (Proceedings)

Keywords

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

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). [8898053] (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/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. IEEE, Institute of Electrical and Electronics Engineers, 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 = "brightness temperatures, DAV-T, IR satellite image, Tropical Cyclone, wind radii",

author = "C. Stark and Ritchie, {E. A.} and Tyo, {J. S.}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; IEEE International Geoscience and Remote Sensing Symposium 2019, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

month = nov,

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doi = "10.1109/IGARSS.2019.8898053",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",

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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), IEEE, Institute of Electrical and Electronics Engineers, pp. 9342-9345, IEEE International Geoscience and Remote Sensing Symposium 2019, Yokohama, Japan, 28/07/19. 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. IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 9342-9345 8898053 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

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T1 - Modelling Tropical Cyclone Wind Radii in the Australian Region Using the Deviation Angle Variance Technique

AU - Stark, C.

AU - Ritchie, E. A.

AU - Tyo, J. S.

N1 - Conference code: 39th

PY - 2019/11/14

Y1 - 2019/11/14

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.

KW - brightness temperatures

KW - DAV-T

KW - IR satellite image

KW - Tropical Cyclone

KW - wind radii

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T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings

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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. IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 9342-9345. 8898053. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2019.8898053

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

Abstract

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Keywords

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