Data

SeaWinds on QuikSCAT L2B Ocean Wind Vectors in 12.5km Slice Composites

Tasmanian Partnership for Advanced Computing
Jet Propulsion Laboratory of California Institute of Technology (Managed by, Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://dl.tpac.org.au/tpacportal/#dataset=262&rft.title=SeaWinds on QuikSCAT L2B Ocean Wind Vectors in 12.5km Slice Composites&rft.identifier=dl.tpac.org.au/ds/262&rft.publisher=Tasmanian Partnership for Advanced Computing&rft.description=This dataset contains Level 2B science-quality ocean surface wind vector retrievals from the NASA SeaWinds scatterometer aboard the QuikSCAT satellite platform. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. SeaWinds is the main instrument on the QuikSCAT satellite. SeaWinds is an active radar scatterometer. This scatterometer operates by transmitting high-frequency microwave pulses to the ocean surface and measuring the echoed radar pulses bounced back to the satellite. The scatterometer estimates wind speed and direction over the Earth's oceans at 10 m above the surface of the water. The instrument collects data over ocean, land, and ice in a continuous, 1,800-kilometer-wide band, making approximately 400,000 measurements and covering 90% of Earth's surface in one day. QuikSCAT can acquire hundreds of times more observations of surface wind velocity each day than can ships and buoys, and can provide continuous, accurate and high-resolution measurements of both wind speeds and direction regardless of weather conditions. This data is vital for global climate research, operational weather forecasting, and storm warning. Gridded wind vector fields are provided twice daily according to the timing of the ascending and descending satellite swath coverage. Disclaimer: this dataset is meant for quick-look purposes only and is not intended for science-quality research applications.&rft.creator=Jet Propulsion Laboratory of California Institute of Technology&rft.date=2012&rft.coverage=northlimit=0; southlimit=-180; westlimit=-80; eastLimit=80; projection=WGS84&rft_subject=Atmospheric Dynamics&rft_subject=EARTH SCIENCES&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Meteorology&rft_subject=Physical Oceanography&rft_subject=OCEANOGRAPHY&rft.type=dataset&rft.language=English Access the data

Access:

Other view details

Free access

Brief description

This dataset contains Level 2B science-quality ocean surface wind vector retrievals from the NASA SeaWinds scatterometer aboard the QuikSCAT satellite platform. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. SeaWinds is the main instrument on the QuikSCAT satellite. SeaWinds is an active radar scatterometer. This scatterometer operates by transmitting high-frequency microwave pulses to the ocean surface and measuring the echoed radar pulses bounced back to the satellite. The scatterometer estimates wind speed and direction over the Earth's oceans at 10 m above the surface of the water. The instrument collects data over ocean, land, and ice in a continuous, 1,800-kilometer-wide band, making approximately 400,000 measurements and covering 90% of Earth's surface in one day. QuikSCAT can acquire hundreds of times more observations of surface wind velocity each day than can ships and buoys, and can provide continuous, accurate and high-resolution measurements of both wind speeds and direction regardless of weather conditions. This data is vital for global climate research, operational weather forecasting, and storm warning. Gridded wind vector fields are provided twice daily according to the timing of the ascending and descending satellite swath coverage. Disclaimer: this dataset is meant for quick-look purposes only and is not intended for science-quality research applications.

Data time period: 19 07 1999 to 21 11 2009

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Oceans

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
  • Local : dl.tpac.org.au/ds/262