A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation
13 pages, 11 figures, 2 tables, 1 appendix.-- The authors would like to thank European Space Agency for providing the Sentinel-1A (S1-A) data available, the National Oceanic and Atmospheric Administration for supplying SFMR data, and flight-level aircraft observations data (http://www.aoml.noaa.gov/hrd/), and hurricane best track data (HURDAT2) (http://www.nhc.noaa.gov/data/#hurdat)
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| Language: | English |
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Institute of Electrical and Electronics Engineers
2022-10
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| Subjects: | Parametric modeling, Synthetic Aperture Radar (SAR), Tangential wind speed, Tropical Cyclone (TC), |
| Online Access: | http://hdl.handle.net/10261/281472 http://dx.doi.org/10.13039/501100011033 |
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dig-icm-es-10261-2814722022-11-04T16:21:03Z A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation Wang, Sheng Yang, Xiaofeng Portabella, Marcos Yuen, Ka-Veng Zhang, Miao Du, Yanlei Agencia Estatal de Investigación (España) Parametric modeling Synthetic Aperture Radar (SAR) Tangential wind speed Tropical Cyclone (TC) 13 pages, 11 figures, 2 tables, 1 appendix.-- The authors would like to thank European Space Agency for providing the Sentinel-1A (S1-A) data available, the National Oceanic and Atmospheric Administration for supplying SFMR data, and flight-level aircraft observations data (http://www.aoml.noaa.gov/hrd/), and hurricane best track data (HURDAT2) (http://www.nhc.noaa.gov/data/#hurdat) The tangential wind speed increases from the center to the eyewall of tropical cyclones (TC) along the radial direction and begins to decay when it extends outward. The tangential wind profile model is one of the most effective and widely used methods to reconstruct the TC radial wind speed. This article proposes a parametric tangential wind profile (TWP) model based on high-spatial-resolution synthetic aperture radar (SAR) imagery. The new model functions are piecewise with maximum tangential wind speed as a threshold, and all of them are designed as nonlinear. Notably, the derivative at the segmentation threshold is zero to ensure a smooth transition of the estimated wind speed profile. With the SAR-derived azimuth-averaged wind speed, we can determine the model parameters and get the tangential wind speed. The TWP model outperforms the commonly used single-modified Rankine vortex (SMRV) model, as it better resolves the tangential wind profile shape as depicted by both SAR-derived winds and hurricane hunter stepped-frequency microwave radiometer derived winds. A comprehensive analysis of the TWP model parameters is carried out by fitting tangential winds for 620 hurricane hunter flights. Interestingly, the tangential wind profiles for major hurricanes show a similar shape. The proposed TWP model can be used for improved TC characterization and forecasting purposes With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S) Peer reviewed 2022-10-24T09:54:55Z 2022-10-24T09:54:55Z 2022-10 artículo IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15: 8806-8818 (2022) 1939-1404 CEX2019-000928-S http://hdl.handle.net/10261/281472 10.1109/JSTARS.2022.3213822 2151-1535 http://dx.doi.org/10.13039/501100011033 en Publisher's version https://doi.org/10.1109/JSTARS.2022.3213822 Sí open Institute of Electrical and Electronics Engineers |
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Parametric modeling Synthetic Aperture Radar (SAR) Tangential wind speed Tropical Cyclone (TC) Parametric modeling Synthetic Aperture Radar (SAR) Tangential wind speed Tropical Cyclone (TC) |
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Parametric modeling Synthetic Aperture Radar (SAR) Tangential wind speed Tropical Cyclone (TC) Parametric modeling Synthetic Aperture Radar (SAR) Tangential wind speed Tropical Cyclone (TC) Wang, Sheng Yang, Xiaofeng Portabella, Marcos Yuen, Ka-Veng Zhang, Miao Du, Yanlei A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation |
| description |
13 pages, 11 figures, 2 tables, 1 appendix.-- The authors would like to thank European Space Agency for providing the Sentinel-1A (S1-A) data available, the National Oceanic and Atmospheric Administration for supplying SFMR data, and flight-level aircraft observations data (http://www.aoml.noaa.gov/hrd/), and hurricane best track data (HURDAT2) (http://www.nhc.noaa.gov/data/#hurdat) |
| author2 |
Agencia Estatal de Investigación (España) |
| author_facet |
Agencia Estatal de Investigación (España) Wang, Sheng Yang, Xiaofeng Portabella, Marcos Yuen, Ka-Veng Zhang, Miao Du, Yanlei |
| format |
artículo |
| topic_facet |
Parametric modeling Synthetic Aperture Radar (SAR) Tangential wind speed Tropical Cyclone (TC) |
| author |
Wang, Sheng Yang, Xiaofeng Portabella, Marcos Yuen, Ka-Veng Zhang, Miao Du, Yanlei |
| author_sort |
Wang, Sheng |
| title |
A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation |
| title_short |
A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation |
| title_full |
A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation |
| title_fullStr |
A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation |
| title_full_unstemmed |
A SAR-Based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation |
| title_sort |
sar-based parametric model for tropical cyclone tangential wind speed estimation |
| publisher |
Institute of Electrical and Electronics Engineers |
| publishDate |
2022-10 |
| url |
http://hdl.handle.net/10261/281472 http://dx.doi.org/10.13039/501100011033 |
| work_keys_str_mv |
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| _version_ |
1777667859049086976 |