The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique

Based on 12 years (2004-2015) of GOES-East satellite infrared (IR) imagery over the North Atlantic basin, the diurnal cycle of the tropical cyclone (TC) Deviation Angle Variation (DAV) value is analysed, and a backward 24-hr time average DAV is selected to filter the noise in the DAV-TC intensity es...

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Published in:IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Main Authors: Hu, L, Ritchie, EA, Scott Tyo, J, Tyo, Scott
Format: Conference Object
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
Subjects:
Online Access:http://hdl.handle.net/1959.4/unsworks_71938
https://unsworks.unsw.edu.au/bitstreams/0e12687d-2684-4327-90ee-ebe4f2a044eb/download
https://doi.org/10.1109/IGARSS.2019.8898743
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spelling ftunswworks:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_71938 2024-05-19T07:44:59+00:00 The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique Hu, L Ritchie, EA Scott Tyo, J Tyo, Scott 2019-07-01 application/pdf http://hdl.handle.net/1959.4/unsworks_71938 https://unsworks.unsw.edu.au/bitstreams/0e12687d-2684-4327-90ee-ebe4f2a044eb/download https://doi.org/10.1109/IGARSS.2019.8898743 unknown Institute of Electrical and Electronics Engineers (IEEE) http://hdl.handle.net/1959.4/unsworks_71938 https://unsworks.unsw.edu.au/bitstreams/0e12687d-2684-4327-90ee-ebe4f2a044eb/download https://doi.org/10.1109/IGARSS.2019.8898743 open access https://purl.org/coar/access_right/c_abf2 CC-BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/ free_to_read urn:ISBN:9781538691540 urn:ISSN:2153-6996 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, JAPAN, Yokohama, 2019-07-28 - 2019-08-02 conference paper http://purl.org/coar/resource_type/c_5794 2019 ftunswworks https://doi.org/10.1109/IGARSS.2019.8898743 2024-05-01T00:15:17Z Based on 12 years (2004-2015) of GOES-East satellite infrared (IR) imagery over the North Atlantic basin, the diurnal cycle of the tropical cyclone (TC) Deviation Angle Variation (DAV) value is analysed, and a backward 24-hr time average DAV is selected to filter the noise in the DAV-TC intensity estimation. The effect of satellite observation angle on the DAV-TC intensity estimation is analysed in theory, in a case study, and in the longer-term statistics. Based on these results, an improvement to the DAV-TC intensity estimation is presented and evaluated in this study. The results show that, after taking the observation angle into account, the new DAV-TC intensity estimation is shown to produce smaller errors and higher correlations than the previous versions, especially for major hurricanes. Conference Object North Atlantic UNSW Sydney (The University of New South Wales): UNSWorks IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium 9863 9866
institution Open Polar
collection UNSW Sydney (The University of New South Wales): UNSWorks
op_collection_id ftunswworks
language unknown
description Based on 12 years (2004-2015) of GOES-East satellite infrared (IR) imagery over the North Atlantic basin, the diurnal cycle of the tropical cyclone (TC) Deviation Angle Variation (DAV) value is analysed, and a backward 24-hr time average DAV is selected to filter the noise in the DAV-TC intensity estimation. The effect of satellite observation angle on the DAV-TC intensity estimation is analysed in theory, in a case study, and in the longer-term statistics. Based on these results, an improvement to the DAV-TC intensity estimation is presented and evaluated in this study. The results show that, after taking the observation angle into account, the new DAV-TC intensity estimation is shown to produce smaller errors and higher correlations than the previous versions, especially for major hurricanes.
format Conference Object
author Hu, L
Ritchie, EA
Scott Tyo, J
Tyo, Scott
spellingShingle Hu, L
Ritchie, EA
Scott Tyo, J
Tyo, Scott
The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique
author_facet Hu, L
Ritchie, EA
Scott Tyo, J
Tyo, Scott
author_sort Hu, L
title The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique
title_short The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique
title_full The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique
title_fullStr The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique
title_full_unstemmed The Influence of Satellite Observation Angle on Tropical Cyclone Intensity Estimation using the Deviation Angle Variance Technique
title_sort influence of satellite observation angle on tropical cyclone intensity estimation using the deviation angle variance technique
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2019
url http://hdl.handle.net/1959.4/unsworks_71938
https://unsworks.unsw.edu.au/bitstreams/0e12687d-2684-4327-90ee-ebe4f2a044eb/download
https://doi.org/10.1109/IGARSS.2019.8898743
genre North Atlantic
genre_facet North Atlantic
op_source urn:ISBN:9781538691540
urn:ISSN:2153-6996
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, JAPAN, Yokohama, 2019-07-28 - 2019-08-02
op_relation http://hdl.handle.net/1959.4/unsworks_71938
https://unsworks.unsw.edu.au/bitstreams/0e12687d-2684-4327-90ee-ebe4f2a044eb/download
https://doi.org/10.1109/IGARSS.2019.8898743
op_rights open access
https://purl.org/coar/access_right/c_abf2
CC-BY-NC-ND
https://creativecommons.org/licenses/by-nc-nd/4.0/
free_to_read
op_doi https://doi.org/10.1109/IGARSS.2019.8898743
container_title IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
container_start_page 9863
op_container_end_page 9866
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