Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring.
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| Title: | Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring. |
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| Authors: | Qian, Zonghao1 (AUTHOR), Yu, Wei2,3,4,5 (AUTHOR) wyu16@fudan.edu.cn, Guo, Wei2,3 (AUTHOR), Bai, Lina4 (AUTHOR), Lu, Xiaoqin4,5 (AUTHOR) |
| Source: | Remote Sensing. Dec2025, Vol. 17 Issue 23, p3809. 21p. |
| Subjects: | Cyclone tracking, Wind measurement, Multisensor data fusion, Artificial satellites, Sea breeze, Marine meteorology |
| Abstract: | Highlights: What are the main findings? This study provides the first comprehensive, full-year intercomparison of Ku-band ocean surface wind vector (OWV) products from FY-3E/WindRAD and HY-2B/SCA, showing high consistency in wind speed and direction. A fusion experiment combining FY-3E/WindRAD's higher resolution with HY-2B/SCA's wider swath improves the spatial completeness of tropical cyclone (TC) wind field structure and enables instantaneous estimates of the 34 kt wind radius (R34). What is the implication of the main finding? The results indicate that Chinese scatterometer missions can reliably contribute to global OWV monitoring. Dual-satellite integration enhances TC monitoring and supports operational marine weather services. Ocean surface wind vector (OWV) is a key variable for ocean remote sensing and tropical cyclone (TC) monitoring. This study presents the first comprehensive intercomparison of Ku-band OWV products from FY-3E/WindRAD and HY-2B/SCA scatterometers using full-year data from 2022 (583,805 spatiotemporal collocations), with both sensors sampling the morning–evening local-time sector in sun-synchronous orbits. Results indicate strong agreement in wind speed (R = 0.95; mean bias −0.47 m/s; RMSE 1.30 m/s) and wind direction (mean bias 0.22°; std 28.13°) for wind speeds ≥ 3.4 m/s (Beaufort scale B3 and above), with the highest consistency across Beaufort scale 3–8 (B3–B8); however, at wind speeds greater than 20.8 m/s (B9) the bias increases. A fusion leveraging FY-3E's fine resolution and HY-2B's wide coverage is implemented and applied to Super Typhoon Hinnamnor (2022), enhancing the spatial coverage and structural detail of TC winds. Quadrant 34 kt wind radii (R34) are estimated from the fused wind fields and evaluated against the best-track data from the Joint Typhoon Warning Center (JTWC), showing close agreement during compact, symmetric TC stages but larger differences during structural reorganization. Overall, the findings confirm inter-satellite consistency for the two Chinese scatterometers and demonstrate the practical value of a multi-source fusion approach that benefits TC monitoring, wind radii estimation, and marine weather services. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 190517261 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Qian%2C+Zonghao%22">Qian, Zonghao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Wei%22">Yu, Wei</searchLink><relatesTo>2,3,4,5</relatesTo> (AUTHOR)<i> wyu16@fudan.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Guo%2C+Wei%22">Guo, Wei</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bai%2C+Lina%22">Bai, Lina</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Xiaoqin%22">Lu, Xiaoqin</searchLink><relatesTo>4,5</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Dec2025, Vol. 17 Issue 23, p3809. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cyclone+tracking%22">Cyclone tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+measurement%22">Wind measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Multisensor+data+fusion%22">Multisensor data fusion</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+satellites%22">Artificial satellites</searchLink><br /><searchLink fieldCode="DE" term="%22Sea+breeze%22">Sea breeze</searchLink><br /><searchLink fieldCode="DE" term="%22Marine+meteorology%22">Marine meteorology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: What are the main findings? This study provides the first comprehensive, full-year intercomparison of Ku-band ocean surface wind vector (OWV) products from FY-3E/WindRAD and HY-2B/SCA, showing high consistency in wind speed and direction. A fusion experiment combining FY-3E/WindRAD's higher resolution with HY-2B/SCA's wider swath improves the spatial completeness of tropical cyclone (TC) wind field structure and enables instantaneous estimates of the 34 kt wind radius (R34). What is the implication of the main finding? The results indicate that Chinese scatterometer missions can reliably contribute to global OWV monitoring. Dual-satellite integration enhances TC monitoring and supports operational marine weather services. Ocean surface wind vector (OWV) is a key variable for ocean remote sensing and tropical cyclone (TC) monitoring. This study presents the first comprehensive intercomparison of Ku-band OWV products from FY-3E/WindRAD and HY-2B/SCA scatterometers using full-year data from 2022 (583,805 spatiotemporal collocations), with both sensors sampling the morning–evening local-time sector in sun-synchronous orbits. Results indicate strong agreement in wind speed (R = 0.95; mean bias −0.47 m/s; RMSE 1.30 m/s) and wind direction (mean bias 0.22°; std 28.13°) for wind speeds ≥ 3.4 m/s (Beaufort scale B3 and above), with the highest consistency across Beaufort scale 3–8 (B3–B8); however, at wind speeds greater than 20.8 m/s (B9) the bias increases. A fusion leveraging FY-3E's fine resolution and HY-2B's wide coverage is implemented and applied to Super Typhoon Hinnamnor (2022), enhancing the spatial coverage and structural detail of TC winds. Quadrant 34 kt wind radii (R34) are estimated from the fused wind fields and evaluated against the best-track data from the Joint Typhoon Warning Center (JTWC), showing close agreement during compact, symmetric TC stages but larger differences during structural reorganization. Overall, the findings confirm inter-satellite consistency for the two Chinese scatterometers and demonstrate the practical value of a multi-source fusion approach that benefits TC monitoring, wind radii estimation, and marine weather services. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17233809 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 3809 Subjects: – SubjectFull: Cyclone tracking Type: general – SubjectFull: Wind measurement Type: general – SubjectFull: Multisensor data fusion Type: general – SubjectFull: Artificial satellites Type: general – SubjectFull: Sea breeze Type: general – SubjectFull: Marine meteorology Type: general Titles: – TitleFull: Intercomparison, Fusion and Application of FY-3E/WindRAD and HY-2B/SCA Ocean Surface Wind Products for Tropical Cyclone Monitoring. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qian, Zonghao – PersonEntity: Name: NameFull: Yu, Wei – PersonEntity: Name: NameFull: Guo, Wei – PersonEntity: Name: NameFull: Bai, Lina – PersonEntity: Name: NameFull: Lu, Xiaoqin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 23 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |