The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters
This study extends past research based on the deviation angle variance (DAV) technique that utilizes digital brightness temperatures from longwave infrared satellite images to objectively measure the symmetry of a tropical cyclone (TC). In previous work, the single-pixel DAV values were used as an o...
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American Meteorological Society
2016
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ftunswworks:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_44017 2024-05-19T07:45:15+00:00 The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters Dolling, K Ritchie, EA Tyo, JS 2016-01-01 application/pdf http://hdl.handle.net/1959.4/unsworks_44017 https://unsworks.unsw.edu.au/bitstreams/3eb67cd8-859a-4c66-b564-b3e981813962/download https://doi.org/10.1175/WAF-D-16-0056.1 unknown American Meteorological Society http://hdl.handle.net/1959.4/unsworks_44017 https://unsworks.unsw.edu.au/bitstreams/3eb67cd8-859a-4c66-b564-b3e981813962/download https://doi.org/10.1175/WAF-D-16-0056.1 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:ISSN:0882-8156 urn:ISSN:1520-0434 Weather and Forecasting, 31, 5, 1625-1642 anzsrc-for: 0401 Atmospheric Sciences journal article http://purl.org/coar/resource_type/c_6501 2016 ftunswworks https://doi.org/10.1175/WAF-D-16-0056.1 2024-04-24T01:09:24Z This study extends past research based on the deviation angle variance (DAV) technique that utilizes digital brightness temperatures from longwave infrared satellite images to objectively measure the symmetry of a tropical cyclone (TC). In previous work, the single-pixel DAV values were used as an objective estimator of storm intensity while maps of the DAV values indicated areas where tropical cyclogenesis was occurring. In this study the spatial information in the DAV maps is utilized along with information from the Cooperative Institute for Research in the Atmosphere's extended best-track archive and the Statistical Hurricane Intensity Prediction Scheme model to create multiple linear regression models of wind radii parameters for TCs in the North Atlantic basin. These models are used to estimate both symmetric, and by quadrant, 34-, 50-, and 64-kt wind radii (where 1 kt = 0.51 m s-1 1) on a half-hourly time scale. The symmetric model assumes azimuthal symmetry and has mean absolute errors of 38.5, 23.2, and 13.5 km (20.8, 12.5, and 7.3 n mi) for the 34-, 50-, and 64-kt wind radii, respectively, which are lower than results for most other techniques except for those based on AMSU. The asymmetric model independently estimates radii in each quadrant and produces mean absolute errors for the wind radii that are generally highest in the northwest quadrant and lowest in the southwest quadrant similar to other techniques. However, as a percentage of the average wind radii from aircraft reconnaissance, all quadrants have similar errors. Article in Journal/Newspaper North Atlantic UNSW Sydney (The University of New South Wales): UNSWorks Weather and Forecasting 31 5 1625 1642 |
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UNSW Sydney (The University of New South Wales): UNSWorks |
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unknown |
topic |
anzsrc-for: 0401 Atmospheric Sciences |
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anzsrc-for: 0401 Atmospheric Sciences Dolling, K Ritchie, EA Tyo, JS The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters |
topic_facet |
anzsrc-for: 0401 Atmospheric Sciences |
description |
This study extends past research based on the deviation angle variance (DAV) technique that utilizes digital brightness temperatures from longwave infrared satellite images to objectively measure the symmetry of a tropical cyclone (TC). In previous work, the single-pixel DAV values were used as an objective estimator of storm intensity while maps of the DAV values indicated areas where tropical cyclogenesis was occurring. In this study the spatial information in the DAV maps is utilized along with information from the Cooperative Institute for Research in the Atmosphere's extended best-track archive and the Statistical Hurricane Intensity Prediction Scheme model to create multiple linear regression models of wind radii parameters for TCs in the North Atlantic basin. These models are used to estimate both symmetric, and by quadrant, 34-, 50-, and 64-kt wind radii (where 1 kt = 0.51 m s-1 1) on a half-hourly time scale. The symmetric model assumes azimuthal symmetry and has mean absolute errors of 38.5, 23.2, and 13.5 km (20.8, 12.5, and 7.3 n mi) for the 34-, 50-, and 64-kt wind radii, respectively, which are lower than results for most other techniques except for those based on AMSU. The asymmetric model independently estimates radii in each quadrant and produces mean absolute errors for the wind radii that are generally highest in the northwest quadrant and lowest in the southwest quadrant similar to other techniques. However, as a percentage of the average wind radii from aircraft reconnaissance, all quadrants have similar errors. |
format |
Article in Journal/Newspaper |
author |
Dolling, K Ritchie, EA Tyo, JS |
author_facet |
Dolling, K Ritchie, EA Tyo, JS |
author_sort |
Dolling, K |
title |
The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters |
title_short |
The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters |
title_full |
The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters |
title_fullStr |
The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters |
title_full_unstemmed |
The use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters |
title_sort |
use of the deviation angle variance technique on geostationary satellite imagery to estimate tropical cyclone size parameters |
publisher |
American Meteorological Society |
publishDate |
2016 |
url |
http://hdl.handle.net/1959.4/unsworks_44017 https://unsworks.unsw.edu.au/bitstreams/3eb67cd8-859a-4c66-b564-b3e981813962/download https://doi.org/10.1175/WAF-D-16-0056.1 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
urn:ISSN:0882-8156 urn:ISSN:1520-0434 Weather and Forecasting, 31, 5, 1625-1642 |
op_relation |
http://hdl.handle.net/1959.4/unsworks_44017 https://unsworks.unsw.edu.au/bitstreams/3eb67cd8-859a-4c66-b564-b3e981813962/download https://doi.org/10.1175/WAF-D-16-0056.1 |
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/10.1175/WAF-D-16-0056.1 |
container_title |
Weather and Forecasting |
container_volume |
31 |
container_issue |
5 |
container_start_page |
1625 |
op_container_end_page |
1642 |
_version_ |
1799485252165435392 |