Analysis and Validation of High-Resolution Wind From ASCAT
The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial v...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lindsley, Richard D [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on geoscience and remote sensing - New York, NY : IEEE, 1964, 54(2016), 10, Seite 5699-5711 |
|---|---|
| Übergeordnetes Werk: |
volume:54 ; year:2016 ; number:10 ; pages:5699-5711 |
| Links: |
|---|
| DOI / URN: |
10.1109/TGRS.2016.2570245 |
|---|
| Katalog-ID: |
OLC1981766685 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1981766685 | ||
| 003 | DE-627 | ||
| 005 | 20230714213143.0 | ||
| 007 | tu | ||
| 008 | 161013s2016 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1109/TGRS.2016.2570245 |2 doi | |
| 028 | 5 | 2 | |a PQ20161012 |
| 035 | |a (DE-627)OLC1981766685 | ||
| 035 | |a (DE-599)GBVOLC1981766685 | ||
| 035 | |a (PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070 | ||
| 035 | |a (KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 620 |a 550 |q DNB |
| 100 | 1 | |a Lindsley, Richard D |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Analysis and Validation of High-Resolution Wind From ASCAT |
| 264 | 1 | |c 2016 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. | ||
| 650 | 4 | |a Radar measurements | |
| 650 | 4 | |a wind | |
| 650 | 4 | |a Extraterrestrial measurements | |
| 650 | 4 | |a Oceans | |
| 650 | 4 | |a Spatial resolution | |
| 650 | 4 | |a Pollution measurement | |
| 650 | 4 | |a Antenna measurements | |
| 650 | 4 | |a Sea measurements | |
| 650 | 4 | |a spaceborne radar | |
| 650 | 4 | |a Advanced Scatterometer (ASCAT) | |
| 650 | 4 | |a remote sensing | |
| 650 | 4 | |a Wind | |
| 700 | 1 | |a Blodgett, Jeffrey R |4 oth | |
| 700 | 1 | |a Long, David G |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t IEEE transactions on geoscience and remote sensing |d New York, NY : IEEE, 1964 |g 54(2016), 10, Seite 5699-5711 |w (DE-627)129601667 |w (DE-600)241439-9 |w (DE-576)015095282 |x 0196-2892 |7 nnns |
| 773 | 1 | 8 | |g volume:54 |g year:2016 |g number:10 |g pages:5699-5711 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1109/TGRS.2016.2570245 |3 Volltext |
| 856 | 4 | 2 | |u http://ieeexplore.ieee.org/document/7486106 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-ARC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OLC-FOR | ||
| 912 | |a SSG-OPC-GGO | ||
| 912 | |a SSG-OPC-GEO | ||
| 912 | |a GBV_ILN_70 | ||
| 951 | |a AR | ||
| 952 | |d 54 |j 2016 |e 10 |h 5699-5711 | ||
| author_variant |
r d l rd rdl |
|---|---|
| matchkey_str |
article:01962892:2016----::nlssnvldtoohgrslto |
| hierarchy_sort_str |
2016 |
| publishDate |
2016 |
| allfields |
10.1109/TGRS.2016.2570245 doi PQ20161012 (DE-627)OLC1981766685 (DE-599)GBVOLC1981766685 (PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070 (KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat DE-627 ger DE-627 rakwb eng 620 550 DNB Lindsley, Richard D verfasserin aut Analysis and Validation of High-Resolution Wind From ASCAT 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. Radar measurements wind Extraterrestrial measurements Oceans Spatial resolution Pollution measurement Antenna measurements Sea measurements spaceborne radar Advanced Scatterometer (ASCAT) remote sensing Wind Blodgett, Jeffrey R oth Long, David G oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5699-5711 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5699-5711 http://dx.doi.org/10.1109/TGRS.2016.2570245 Volltext http://ieeexplore.ieee.org/document/7486106 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5699-5711 |
| spelling |
10.1109/TGRS.2016.2570245 doi PQ20161012 (DE-627)OLC1981766685 (DE-599)GBVOLC1981766685 (PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070 (KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat DE-627 ger DE-627 rakwb eng 620 550 DNB Lindsley, Richard D verfasserin aut Analysis and Validation of High-Resolution Wind From ASCAT 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. Radar measurements wind Extraterrestrial measurements Oceans Spatial resolution Pollution measurement Antenna measurements Sea measurements spaceborne radar Advanced Scatterometer (ASCAT) remote sensing Wind Blodgett, Jeffrey R oth Long, David G oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5699-5711 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5699-5711 http://dx.doi.org/10.1109/TGRS.2016.2570245 Volltext http://ieeexplore.ieee.org/document/7486106 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5699-5711 |
| allfields_unstemmed |
10.1109/TGRS.2016.2570245 doi PQ20161012 (DE-627)OLC1981766685 (DE-599)GBVOLC1981766685 (PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070 (KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat DE-627 ger DE-627 rakwb eng 620 550 DNB Lindsley, Richard D verfasserin aut Analysis and Validation of High-Resolution Wind From ASCAT 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. Radar measurements wind Extraterrestrial measurements Oceans Spatial resolution Pollution measurement Antenna measurements Sea measurements spaceborne radar Advanced Scatterometer (ASCAT) remote sensing Wind Blodgett, Jeffrey R oth Long, David G oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5699-5711 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5699-5711 http://dx.doi.org/10.1109/TGRS.2016.2570245 Volltext http://ieeexplore.ieee.org/document/7486106 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5699-5711 |
| allfieldsGer |
10.1109/TGRS.2016.2570245 doi PQ20161012 (DE-627)OLC1981766685 (DE-599)GBVOLC1981766685 (PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070 (KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat DE-627 ger DE-627 rakwb eng 620 550 DNB Lindsley, Richard D verfasserin aut Analysis and Validation of High-Resolution Wind From ASCAT 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. Radar measurements wind Extraterrestrial measurements Oceans Spatial resolution Pollution measurement Antenna measurements Sea measurements spaceborne radar Advanced Scatterometer (ASCAT) remote sensing Wind Blodgett, Jeffrey R oth Long, David G oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5699-5711 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5699-5711 http://dx.doi.org/10.1109/TGRS.2016.2570245 Volltext http://ieeexplore.ieee.org/document/7486106 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5699-5711 |
| allfieldsSound |
10.1109/TGRS.2016.2570245 doi PQ20161012 (DE-627)OLC1981766685 (DE-599)GBVOLC1981766685 (PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070 (KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat DE-627 ger DE-627 rakwb eng 620 550 DNB Lindsley, Richard D verfasserin aut Analysis and Validation of High-Resolution Wind From ASCAT 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. Radar measurements wind Extraterrestrial measurements Oceans Spatial resolution Pollution measurement Antenna measurements Sea measurements spaceborne radar Advanced Scatterometer (ASCAT) remote sensing Wind Blodgett, Jeffrey R oth Long, David G oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5699-5711 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5699-5711 http://dx.doi.org/10.1109/TGRS.2016.2570245 Volltext http://ieeexplore.ieee.org/document/7486106 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5699-5711 |
| language |
English |
| source |
Enthalten in IEEE transactions on geoscience and remote sensing 54(2016), 10, Seite 5699-5711 volume:54 year:2016 number:10 pages:5699-5711 |
| sourceStr |
Enthalten in IEEE transactions on geoscience and remote sensing 54(2016), 10, Seite 5699-5711 volume:54 year:2016 number:10 pages:5699-5711 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Radar measurements wind Extraterrestrial measurements Oceans Spatial resolution Pollution measurement Antenna measurements Sea measurements spaceborne radar Advanced Scatterometer (ASCAT) remote sensing Wind |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
IEEE transactions on geoscience and remote sensing |
| authorswithroles_txt_mv |
Lindsley, Richard D @@aut@@ Blodgett, Jeffrey R @@oth@@ Long, David G @@oth@@ |
| publishDateDaySort_date |
2016-01-01T00:00:00Z |
| hierarchy_top_id |
129601667 |
| dewey-sort |
3620 |
| id |
OLC1981766685 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1981766685</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714213143.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">161013s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1109/TGRS.2016.2570245</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20161012</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1981766685</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1981766685</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lindsley, Richard D</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analysis and Validation of High-Resolution Wind From ASCAT</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Radar measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">wind</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Extraterrestrial measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oceans</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spatial resolution</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pollution measurement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Antenna measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sea measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">spaceborne radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Advanced Scatterometer (ASCAT)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">remote sensing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wind</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Blodgett, Jeffrey R</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Long, David G</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">IEEE transactions on geoscience and remote sensing</subfield><subfield code="d">New York, NY : IEEE, 1964</subfield><subfield code="g">54(2016), 10, Seite 5699-5711</subfield><subfield code="w">(DE-627)129601667</subfield><subfield code="w">(DE-600)241439-9</subfield><subfield code="w">(DE-576)015095282</subfield><subfield code="x">0196-2892</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:54</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:10</subfield><subfield code="g">pages:5699-5711</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1109/TGRS.2016.2570245</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://ieeexplore.ieee.org/document/7486106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">54</subfield><subfield code="j">2016</subfield><subfield code="e">10</subfield><subfield code="h">5699-5711</subfield></datafield></record></collection>
|
| author |
Lindsley, Richard D |
| spellingShingle |
Lindsley, Richard D ddc 620 misc Radar measurements misc wind misc Extraterrestrial measurements misc Oceans misc Spatial resolution misc Pollution measurement misc Antenna measurements misc Sea measurements misc spaceborne radar misc Advanced Scatterometer (ASCAT) misc remote sensing misc Wind Analysis and Validation of High-Resolution Wind From ASCAT |
| authorStr |
Lindsley, Richard D |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129601667 |
| format |
Article |
| dewey-ones |
620 - Engineering & allied operations 550 - Earth sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0196-2892 |
| topic_title |
620 550 DNB Analysis and Validation of High-Resolution Wind From ASCAT Radar measurements wind Extraterrestrial measurements Oceans Spatial resolution Pollution measurement Antenna measurements Sea measurements spaceborne radar Advanced Scatterometer (ASCAT) remote sensing Wind |
| topic |
ddc 620 misc Radar measurements misc wind misc Extraterrestrial measurements misc Oceans misc Spatial resolution misc Pollution measurement misc Antenna measurements misc Sea measurements misc spaceborne radar misc Advanced Scatterometer (ASCAT) misc remote sensing misc Wind |
| topic_unstemmed |
ddc 620 misc Radar measurements misc wind misc Extraterrestrial measurements misc Oceans misc Spatial resolution misc Pollution measurement misc Antenna measurements misc Sea measurements misc spaceborne radar misc Advanced Scatterometer (ASCAT) misc remote sensing misc Wind |
| topic_browse |
ddc 620 misc Radar measurements misc wind misc Extraterrestrial measurements misc Oceans misc Spatial resolution misc Pollution measurement misc Antenna measurements misc Sea measurements misc spaceborne radar misc Advanced Scatterometer (ASCAT) misc remote sensing misc Wind |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
j r b jr jrb d g l dg dgl |
| hierarchy_parent_title |
IEEE transactions on geoscience and remote sensing |
| hierarchy_parent_id |
129601667 |
| dewey-tens |
620 - Engineering 550 - Earth sciences & geology |
| hierarchy_top_title |
IEEE transactions on geoscience and remote sensing |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 |
| title |
Analysis and Validation of High-Resolution Wind From ASCAT |
| ctrlnum |
(DE-627)OLC1981766685 (DE-599)GBVOLC1981766685 (PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070 (KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat |
| title_full |
Analysis and Validation of High-Resolution Wind From ASCAT |
| author_sort |
Lindsley, Richard D |
| journal |
IEEE transactions on geoscience and remote sensing |
| journalStr |
IEEE transactions on geoscience and remote sensing |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 500 - Science |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
txt |
| container_start_page |
5699 |
| author_browse |
Lindsley, Richard D |
| container_volume |
54 |
| class |
620 550 DNB |
| format_se |
Aufsätze |
| author-letter |
Lindsley, Richard D |
| doi_str_mv |
10.1109/TGRS.2016.2570245 |
| dewey-full |
620 550 |
| title_sort |
analysis and validation of high-resolution wind from ascat |
| title_auth |
Analysis and Validation of High-Resolution Wind From ASCAT |
| abstract |
The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. |
| abstractGer |
The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. |
| abstract_unstemmed |
The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 |
| container_issue |
10 |
| title_short |
Analysis and Validation of High-Resolution Wind From ASCAT |
| url |
http://dx.doi.org/10.1109/TGRS.2016.2570245 http://ieeexplore.ieee.org/document/7486106 |
| remote_bool |
false |
| author2 |
Blodgett, Jeffrey R Long, David G |
| author2Str |
Blodgett, Jeffrey R Long, David G |
| ppnlink |
129601667 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth |
| doi_str |
10.1109/TGRS.2016.2570245 |
| up_date |
2024-07-03T14:36:51.746Z |
| _version_ |
1803568977542119424 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1981766685</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714213143.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">161013s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1109/TGRS.2016.2570245</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20161012</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1981766685</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1981766685</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1532-713be118c1d57afa3c401176444b28fc2129325ea814176fbe3397ee61128f070</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0048677920160000054001005699analysisandvalidationofhighresolutionwindfromascat</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lindsley, Richard D</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analysis and Validation of High-Resolution Wind From ASCAT</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The standard ocean wind product from the Advanced Scatterometer (ASCAT) is retrieved on a 12.5-km grid. Ultrahigh-resolution (UHR) processing enables ASCAT wind retrieval on a high-resolution 1.25-km grid. Ideally, such a high-resolution grid allows for improved analysis of winds with high spatial variability, such as those in near-coastal regions and storms. This paper provides an analysis and validation of ASCAT UHR wind estimates to evaluate its spatial resolution and accuracy. This is done via a comparison with two other sources: buoy-measured winds in coastal regions and winds estimated from synthetic aperture radar (SAR) data over the open ocean. Near-coastal ocean measurements may be contaminated by nearby land, introducing a wind speed bias in the retrieved winds. To enable near-coastal UHR wind retrieval, we use a land contribution ratio (LCR) approach to discard ASCAT measurements with high land contamination before UHR processing and wind retrieval. Through a comparison with near-coastal buoy winds, we find that the LCR approach is appropriate for precisely controlling the tradeoff between land contamination and spatial coverage near land. We find that the resolution of the UHR data is improved over the 25-km wind product to 10 km, and likely down to 4 km in some cases. In comparing SAR and UHR winds, we find that both products have common fine-scale features and have derivative fields that match well and that the UHR product matches better the expected spectral properties of ocean winds.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Radar measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">wind</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Extraterrestrial measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oceans</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spatial resolution</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pollution measurement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Antenna measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sea measurements</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">spaceborne radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Advanced Scatterometer (ASCAT)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">remote sensing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wind</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Blodgett, Jeffrey R</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Long, David G</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">IEEE transactions on geoscience and remote sensing</subfield><subfield code="d">New York, NY : IEEE, 1964</subfield><subfield code="g">54(2016), 10, Seite 5699-5711</subfield><subfield code="w">(DE-627)129601667</subfield><subfield code="w">(DE-600)241439-9</subfield><subfield code="w">(DE-576)015095282</subfield><subfield code="x">0196-2892</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:54</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:10</subfield><subfield code="g">pages:5699-5711</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1109/TGRS.2016.2570245</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://ieeexplore.ieee.org/document/7486106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">54</subfield><subfield code="j">2016</subfield><subfield code="e">10</subfield><subfield code="h">5699-5711</subfield></datafield></record></collection>
|
| score |
7.3999014 |