Abstract
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.
Original language | English |
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Title of host publication | Proceedings of 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 |
Subtitle of host publication | 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 Yokohama 28 July 2019 through 2 August 2019 Code 154792 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 9863-9866 |
Number of pages | 4 |
ISBN (Electronic) | 9781538691540 |
DOIs | |
Publication status | Published - Jul 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) |
Conference
Conference | IEEE International Geoscience and Remote Sensing Symposium 2019 |
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Abbreviated title | IGARSS 2019 |
Country/Territory | Japan |
City | Yokohama |
Period | 28/07/19 → 2/08/19 |
Internet address |
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