Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar
Wind velocity is of great importance for weather monitoring, aviation hazard alerting, wind energy exploring, etc. Doppler radar is widely used to measure wind under rainy condition by sensing the raindrops entrained by the background wind. However, the Doppler velocity, which is a reflection of the...
| 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/9541010/ |
| _version_ | 1819152395410604032 |
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| author | Yunli Peng Jianbing Li Jiapeng Yin Pak Wai Chan Wai Kong Xuesong Wang |
| author_facet | Yunli Peng Jianbing Li Jiapeng Yin Pak Wai Chan Wai Kong Xuesong Wang |
| author_sort | Yunli Peng |
| collection | DOAJ |
| description | Wind velocity is of great importance for weather monitoring, aviation hazard alerting, wind energy exploring, etc. Doppler radar is widely used to measure wind under rainy condition by sensing the raindrops entrained by the background wind. However, the Doppler velocity, which is a reflection of the raindrops’ velocity in radial direction, is not coincident with the background wind because of the strong inertia of raindrops. Efforts should be made to distinguish the difference between the raindrops’ velocity and the background wind velocity. In this article, we try to establish a relationship between the background wind velocity and the raindrops’ velocity by introducing a definition of the raindrops’ characteristic size, which is related to the velocity characterized by the strongest Doppler spectral component. It is found that the fusion of differential reflectivity and the depolarization ratio can serve as a good proxy for the estimation of the characteristic size. Simulation results for <inline-formula><tex-math notation="LaTeX">$S$</tex-math></inline-formula>/<inline-formula><tex-math notation="LaTeX">$C$</tex-math></inline-formula>/<inline-formula><tex-math notation="LaTeX">$X$</tex-math></inline-formula>-band radars and radar measurements verify the good performance of the proposed retrieval model for the characteristic size, which lays a solid foundation for the retrieval of the background wind velocity. |
| first_indexed | 2024-12-22T14:48:37Z |
| format | Article |
| id | doaj.art-5e2280d9b901452dacccafe268c8c1bb |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-22T14:48:37Z |
| 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-5e2280d9b901452dacccafe268c8c1bb2022-12-21T18:22:22ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01149974998610.1109/JSTARS.2021.31136519541010Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization RadarYunli Peng0https://orcid.org/0000-0002-6536-1689Jianbing Li1https://orcid.org/0000-0001-5334-7663Jiapeng Yin2https://orcid.org/0000-0002-7102-5243Pak Wai Chan3Wai Kong4Xuesong Wang5State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Engineering, National University of Defense Technology, Changsha, ChinaState Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Engineering, National University of Defense Technology, Changsha, ChinaState Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Engineering, National University of Defense Technology, Changsha, ChinaHong Kong Observatory, Hong KongHong Kong Observatory, Hong KongState Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, College of Electronic Science and Engineering, National University of Defense Technology, Changsha, ChinaWind velocity is of great importance for weather monitoring, aviation hazard alerting, wind energy exploring, etc. Doppler radar is widely used to measure wind under rainy condition by sensing the raindrops entrained by the background wind. However, the Doppler velocity, which is a reflection of the raindrops’ velocity in radial direction, is not coincident with the background wind because of the strong inertia of raindrops. Efforts should be made to distinguish the difference between the raindrops’ velocity and the background wind velocity. In this article, we try to establish a relationship between the background wind velocity and the raindrops’ velocity by introducing a definition of the raindrops’ characteristic size, which is related to the velocity characterized by the strongest Doppler spectral component. It is found that the fusion of differential reflectivity and the depolarization ratio can serve as a good proxy for the estimation of the characteristic size. Simulation results for <inline-formula><tex-math notation="LaTeX">$S$</tex-math></inline-formula>/<inline-formula><tex-math notation="LaTeX">$C$</tex-math></inline-formula>/<inline-formula><tex-math notation="LaTeX">$X$</tex-math></inline-formula>-band radars and radar measurements verify the good performance of the proposed retrieval model for the characteristic size, which lays a solid foundation for the retrieval of the background wind velocity.https://ieeexplore.ieee.org/document/9541010/Characteristic size of raindropsdepolarization ratiodifferential reflectivitydrop size distributionequivalent radar cross section (RCS)support vector regression (SVR) |
| spellingShingle | Yunli Peng Jianbing Li Jiapeng Yin Pak Wai Chan Wai Kong Xuesong Wang Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Characteristic size of raindrops depolarization ratio differential reflectivity drop size distribution equivalent radar cross section (RCS) support vector regression (SVR) |
| title | Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar |
| title_full | Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar |
| title_fullStr | Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar |
| title_full_unstemmed | Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar |
| title_short | Retrieval of the Characteristic Size of Raindrops for Wind Sensing Based on Dual-Polarization Radar |
| title_sort | retrieval of the characteristic size of raindrops for wind sensing based on dual polarization radar |
| topic | Characteristic size of raindrops depolarization ratio differential reflectivity drop size distribution equivalent radar cross section (RCS) support vector regression (SVR) |
| url | https://ieeexplore.ieee.org/document/9541010/ |
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