Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons
By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be ref...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yuan Jiang [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of atmospheric and oceanic technology - Boston, Mass. : AMS, 1984, 33(2016), 9, Seite 1931 |
|---|---|
| Übergeordnetes Werk: |
volume:33 ; year:2016 ; number:9 ; pages:1931 |
| Links: |
|---|
| DOI / URN: |
10.1175/JTECH-D-15-0146.1 |
|---|
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| 520 | |a By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. | ||
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10.1175/JTECH-D-15-0146.1 doi PQ20170206 (DE-627)OLC1985420597 (DE-599)GBVOLC1985420597 (PRQ)c1589-1638ff2a5444a0bc75117dea9b57f7a4f369f203161662deaf278452aee598dd0 (KEY)0133398420160000033000901931adaptivedealiasingfordopplervelocitiesscannedfromh DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl 38.90 bkl 38.00 bkl Yuan Jiang verfasserin aut Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. Vortices Quality Radar Velocity United States--US Data assimilation Wind Qin Xu oth Enthalten in Journal of atmospheric and oceanic technology Boston, Mass. : AMS, 1984 33(2016), 9, Seite 1931 (DE-627)129148652 (DE-600)48441-6 (DE-576)014453657 0739-0572 nnns volume:33 year:2016 number:9 pages:1931 http://dx.doi.org/10.1175/JTECH-D-15-0146.1 Volltext http://search.proquest.com/docview/1836885018 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_62 GBV_ILN_70 GBV_ILN_201 GBV_ILN_600 GBV_ILN_601 38.80 AVZ 38.90 AVZ 38.00 AVZ AR 33 2016 9 1931 |
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10.1175/JTECH-D-15-0146.1 doi PQ20170206 (DE-627)OLC1985420597 (DE-599)GBVOLC1985420597 (PRQ)c1589-1638ff2a5444a0bc75117dea9b57f7a4f369f203161662deaf278452aee598dd0 (KEY)0133398420160000033000901931adaptivedealiasingfordopplervelocitiesscannedfromh DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl 38.90 bkl 38.00 bkl Yuan Jiang verfasserin aut Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. Vortices Quality Radar Velocity United States--US Data assimilation Wind Qin Xu oth Enthalten in Journal of atmospheric and oceanic technology Boston, Mass. : AMS, 1984 33(2016), 9, Seite 1931 (DE-627)129148652 (DE-600)48441-6 (DE-576)014453657 0739-0572 nnns volume:33 year:2016 number:9 pages:1931 http://dx.doi.org/10.1175/JTECH-D-15-0146.1 Volltext http://search.proquest.com/docview/1836885018 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_62 GBV_ILN_70 GBV_ILN_201 GBV_ILN_600 GBV_ILN_601 38.80 AVZ 38.90 AVZ 38.00 AVZ AR 33 2016 9 1931 |
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10.1175/JTECH-D-15-0146.1 doi PQ20170206 (DE-627)OLC1985420597 (DE-599)GBVOLC1985420597 (PRQ)c1589-1638ff2a5444a0bc75117dea9b57f7a4f369f203161662deaf278452aee598dd0 (KEY)0133398420160000033000901931adaptivedealiasingfordopplervelocitiesscannedfromh DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl 38.90 bkl 38.00 bkl Yuan Jiang verfasserin aut Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. Vortices Quality Radar Velocity United States--US Data assimilation Wind Qin Xu oth Enthalten in Journal of atmospheric and oceanic technology Boston, Mass. : AMS, 1984 33(2016), 9, Seite 1931 (DE-627)129148652 (DE-600)48441-6 (DE-576)014453657 0739-0572 nnns volume:33 year:2016 number:9 pages:1931 http://dx.doi.org/10.1175/JTECH-D-15-0146.1 Volltext http://search.proquest.com/docview/1836885018 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_62 GBV_ILN_70 GBV_ILN_201 GBV_ILN_600 GBV_ILN_601 38.80 AVZ 38.90 AVZ 38.00 AVZ AR 33 2016 9 1931 |
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10.1175/JTECH-D-15-0146.1 doi PQ20170206 (DE-627)OLC1985420597 (DE-599)GBVOLC1985420597 (PRQ)c1589-1638ff2a5444a0bc75117dea9b57f7a4f369f203161662deaf278452aee598dd0 (KEY)0133398420160000033000901931adaptivedealiasingfordopplervelocitiesscannedfromh DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl 38.90 bkl 38.00 bkl Yuan Jiang verfasserin aut Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. Vortices Quality Radar Velocity United States--US Data assimilation Wind Qin Xu oth Enthalten in Journal of atmospheric and oceanic technology Boston, Mass. : AMS, 1984 33(2016), 9, Seite 1931 (DE-627)129148652 (DE-600)48441-6 (DE-576)014453657 0739-0572 nnns volume:33 year:2016 number:9 pages:1931 http://dx.doi.org/10.1175/JTECH-D-15-0146.1 Volltext http://search.proquest.com/docview/1836885018 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_62 GBV_ILN_70 GBV_ILN_201 GBV_ILN_600 GBV_ILN_601 38.80 AVZ 38.90 AVZ 38.00 AVZ AR 33 2016 9 1931 |
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10.1175/JTECH-D-15-0146.1 doi PQ20170206 (DE-627)OLC1985420597 (DE-599)GBVOLC1985420597 (PRQ)c1589-1638ff2a5444a0bc75117dea9b57f7a4f369f203161662deaf278452aee598dd0 (KEY)0133398420160000033000901931adaptivedealiasingfordopplervelocitiesscannedfromh DE-627 ger DE-627 rakwb eng 550 DNB 38.80 bkl 38.90 bkl 38.00 bkl Yuan Jiang verfasserin aut Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. Vortices Quality Radar Velocity United States--US Data assimilation Wind Qin Xu oth Enthalten in Journal of atmospheric and oceanic technology Boston, Mass. : AMS, 1984 33(2016), 9, Seite 1931 (DE-627)129148652 (DE-600)48441-6 (DE-576)014453657 0739-0572 nnns volume:33 year:2016 number:9 pages:1931 http://dx.doi.org/10.1175/JTECH-D-15-0146.1 Volltext http://search.proquest.com/docview/1836885018 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-GEO GBV_ILN_62 GBV_ILN_70 GBV_ILN_201 GBV_ILN_600 GBV_ILN_601 38.80 AVZ 38.90 AVZ 38.00 AVZ AR 33 2016 9 1931 |
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Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons |
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Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons |
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Yuan Jiang |
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adaptive dealiasing for doppler velocities scanned from hurricanes and typhoons |
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Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons |
| abstract |
By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. |
| abstractGer |
By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. |
| abstract_unstemmed |
By fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China. |
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Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons |
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