An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR Observations
Synthetic aperture radar (SAR) has been proven to be a useful tool in monitoring hurricane structure and intensity. By far, SAR is the most promising spaceborne sensor to obtain high-resolution hurricane wind field on the ocean surface. In this article, an improved asymmetric hurricane parametric (I...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9286555/ |
| _version_ | 1818591866200784896 |
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| author | Sheng Wang Xiaofeng Yang Haiyan Li Kaijun Ren Xiaobin Yin Die Hu Yanlei Du |
| author_facet | Sheng Wang Xiaofeng Yang Haiyan Li Kaijun Ren Xiaobin Yin Die Hu Yanlei Du |
| author_sort | Sheng Wang |
| collection | DOAJ |
| description | Synthetic aperture radar (SAR) has been proven to be a useful tool in monitoring hurricane structure and intensity. By far, SAR is the most promising spaceborne sensor to obtain high-resolution hurricane wind field on the ocean surface. In this article, an improved asymmetric hurricane parametric (IMAHP) model has been proposed to reconstruct the asymmetric wind speed, where the high-resolution cross-polarization SAR imagery is used to determine the value of model parameters. Compared with other models, the new model can better reconstruct hurricane wind speed with a more concise model function. For verification, taking SAR-retrieved wind speed as a reference, the root-mean-square error and bias of the wind speed estimated by the IMAHP model are 1.86 m/s, 1.89 m/s for Hurricane Arthur (2014), 2.01 m/s, 1.77 m/s for Iselle (2014), and 1.99 m/s, 1.74 m/s for Norbert (2014), respectively. Finally, comparisons with airborne stepped-frequency microwave radiometer and dropwindsondes measurements show that the wind speed simulated by the IMAHP model is close to these measurements. |
| first_indexed | 2024-12-16T10:19:14Z |
| format | Article |
| id | doaj.art-4bda57bfa36542f99a1c33923332e3b9 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-16T10:19:14Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-4bda57bfa36542f99a1c33923332e3b92022-12-21T22:35:21ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01141411142210.1109/JSTARS.2020.30432469286555An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR ObservationsSheng Wang0Xiaofeng Yang1https://orcid.org/0000-0001-9920-4641Haiyan Li2Kaijun Ren3Xiaobin Yin4https://orcid.org/0000-0003-3422-8129Die Hu5Yanlei Du6https://orcid.org/0000-0002-0143-7621State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Computational Geodynamics, University of Chinese Academy of Sciences, Beijing, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha, ChinaPiesat Information Technology Company Ltd., Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing, ChinaSynthetic aperture radar (SAR) has been proven to be a useful tool in monitoring hurricane structure and intensity. By far, SAR is the most promising spaceborne sensor to obtain high-resolution hurricane wind field on the ocean surface. In this article, an improved asymmetric hurricane parametric (IMAHP) model has been proposed to reconstruct the asymmetric wind speed, where the high-resolution cross-polarization SAR imagery is used to determine the value of model parameters. Compared with other models, the new model can better reconstruct hurricane wind speed with a more concise model function. For verification, taking SAR-retrieved wind speed as a reference, the root-mean-square error and bias of the wind speed estimated by the IMAHP model are 1.86 m/s, 1.89 m/s for Hurricane Arthur (2014), 2.01 m/s, 1.77 m/s for Iselle (2014), and 1.99 m/s, 1.74 m/s for Norbert (2014), respectively. Finally, comparisons with airborne stepped-frequency microwave radiometer and dropwindsondes measurements show that the wind speed simulated by the IMAHP model is close to these measurements.https://ieeexplore.ieee.org/document/9286555/Asymmetric hurricanescross polarizationhurricane parametric modelsynthetic aperture radar (SAR) |
| spellingShingle | Sheng Wang Xiaofeng Yang Haiyan Li Kaijun Ren Xiaobin Yin Die Hu Yanlei Du An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR Observations IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Asymmetric hurricanes cross polarization hurricane parametric model synthetic aperture radar (SAR) |
| title | An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR Observations |
| title_full | An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR Observations |
| title_fullStr | An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR Observations |
| title_full_unstemmed | An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR Observations |
| title_short | An Improved Asymmetric Hurricane Parametric Model Based on Cross-Polarization SAR Observations |
| title_sort | improved asymmetric hurricane parametric model based on cross polarization sar observations |
| topic | Asymmetric hurricanes cross polarization hurricane parametric model synthetic aperture radar (SAR) |
| url | https://ieeexplore.ieee.org/document/9286555/ |
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