Identification and removal of block ambiguities in sea surface wind field with scatterometers
Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, KeHai [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Anmerkung: |
© Science in China Press and Springer-Verlag GmbH 2009 |
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| Übergeordnetes Werk: |
Enthalten in: Science in China / D - SP Science in China Press, 1996, 52(2009), 2 vom: 23. Jan., Seite 242-249 |
|---|---|
| Übergeordnetes Werk: |
volume:52 ; year:2009 ; number:2 ; day:23 ; month:01 ; pages:242-249 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11430-009-0023-1 |
|---|
| Katalog-ID: |
OLC2063785031 |
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| 520 | |a Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. | ||
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10.1007/s11430-009-0023-1 doi (DE-627)OLC2063785031 (DE-He213)s11430-009-0023-1-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 13 ssgn Chen, KeHai verfasserin aut Identification and removal of block ambiguities in sea surface wind field with scatterometers 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Science in China Press and Springer-Verlag GmbH 2009 Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. scatterometer block ambiguity identification and removal Xie, XueTong aut Fang, Yu aut Enthalten in Science in China / D SP Science in China Press, 1996 52(2009), 2 vom: 23. Jan., Seite 242-249 (DE-627)193118238 (DE-600)1307899-9 (DE-576)062316923 1006-9313 nnns volume:52 year:2009 number:2 day:23 month:01 pages:242-249 https://doi.org/10.1007/s11430-009-0023-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-OAS SSG-OLC-MFO SSG-OPC-GGO GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2027 GBV_ILN_4082 AR 52 2009 2 23 01 242-249 |
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10.1007/s11430-009-0023-1 doi (DE-627)OLC2063785031 (DE-He213)s11430-009-0023-1-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 13 ssgn Chen, KeHai verfasserin aut Identification and removal of block ambiguities in sea surface wind field with scatterometers 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Science in China Press and Springer-Verlag GmbH 2009 Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. scatterometer block ambiguity identification and removal Xie, XueTong aut Fang, Yu aut Enthalten in Science in China / D SP Science in China Press, 1996 52(2009), 2 vom: 23. Jan., Seite 242-249 (DE-627)193118238 (DE-600)1307899-9 (DE-576)062316923 1006-9313 nnns volume:52 year:2009 number:2 day:23 month:01 pages:242-249 https://doi.org/10.1007/s11430-009-0023-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-OAS SSG-OLC-MFO SSG-OPC-GGO GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2027 GBV_ILN_4082 AR 52 2009 2 23 01 242-249 |
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10.1007/s11430-009-0023-1 doi (DE-627)OLC2063785031 (DE-He213)s11430-009-0023-1-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 13 ssgn Chen, KeHai verfasserin aut Identification and removal of block ambiguities in sea surface wind field with scatterometers 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Science in China Press and Springer-Verlag GmbH 2009 Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. scatterometer block ambiguity identification and removal Xie, XueTong aut Fang, Yu aut Enthalten in Science in China / D SP Science in China Press, 1996 52(2009), 2 vom: 23. Jan., Seite 242-249 (DE-627)193118238 (DE-600)1307899-9 (DE-576)062316923 1006-9313 nnns volume:52 year:2009 number:2 day:23 month:01 pages:242-249 https://doi.org/10.1007/s11430-009-0023-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-OAS SSG-OLC-MFO SSG-OPC-GGO GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2027 GBV_ILN_4082 AR 52 2009 2 23 01 242-249 |
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10.1007/s11430-009-0023-1 doi (DE-627)OLC2063785031 (DE-He213)s11430-009-0023-1-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 13 ssgn Chen, KeHai verfasserin aut Identification and removal of block ambiguities in sea surface wind field with scatterometers 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Science in China Press and Springer-Verlag GmbH 2009 Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. scatterometer block ambiguity identification and removal Xie, XueTong aut Fang, Yu aut Enthalten in Science in China / D SP Science in China Press, 1996 52(2009), 2 vom: 23. Jan., Seite 242-249 (DE-627)193118238 (DE-600)1307899-9 (DE-576)062316923 1006-9313 nnns volume:52 year:2009 number:2 day:23 month:01 pages:242-249 https://doi.org/10.1007/s11430-009-0023-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-OAS SSG-OLC-MFO SSG-OPC-GGO GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2027 GBV_ILN_4082 AR 52 2009 2 23 01 242-249 |
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10.1007/s11430-009-0023-1 doi (DE-627)OLC2063785031 (DE-He213)s11430-009-0023-1-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 13 ssgn Chen, KeHai verfasserin aut Identification and removal of block ambiguities in sea surface wind field with scatterometers 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Science in China Press and Springer-Verlag GmbH 2009 Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. scatterometer block ambiguity identification and removal Xie, XueTong aut Fang, Yu aut Enthalten in Science in China / D SP Science in China Press, 1996 52(2009), 2 vom: 23. Jan., Seite 242-249 (DE-627)193118238 (DE-600)1307899-9 (DE-576)062316923 1006-9313 nnns volume:52 year:2009 number:2 day:23 month:01 pages:242-249 https://doi.org/10.1007/s11430-009-0023-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-OAS SSG-OLC-MFO SSG-OPC-GGO GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2027 GBV_ILN_4082 AR 52 2009 2 23 01 242-249 |
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identification and removal of block ambiguities in sea surface wind field with scatterometers |
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Identification and removal of block ambiguities in sea surface wind field with scatterometers |
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Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. © Science in China Press and Springer-Verlag GmbH 2009 |
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Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. © Science in China Press and Springer-Verlag GmbH 2009 |
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Abstract The solution of the current wind retrieval algorithm for scatterometers has several wind vector ambiguities, due to the bi-harmonic relationship between normalized backscattering cross section and the relative wind direction and the existence of the measurement error. In order to remove the ambiguities for a unique wind field, a circular median filter approach (CMF) is usually adopted. But under the condition for clustering distribution of the false ambiguities in some local areas, the CMF fails and thus engenders block ambiguities, which degrade the precision of the retrieved wind field. For such a situation, a technique of identification and removal of the block ambiguities is presented to further optimize the retrieved wind field after CMF. It is demonstrated in experiment that this technique can identify and remove most of the block ambiguities. © Science in China Press and Springer-Verlag GmbH 2009 |
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10.1007/s11430-009-0023-1 |
| up_date |
2024-07-03T20:16:37.230Z |
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