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Ocean Vector Winds: BYU Daily Browse Images of QuikSCAT Sigma-0 Measurements (D. Long)

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Abstract
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Product 121

Data
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Documentation Software FAQs Start Time End Time Temporal
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table 121
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FTP
BROWSE
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Data Set Guide All Software N/A 19Jul1999 current Daily 22.5km Global


Abstract
ab121

Source/sensor: SeaWinds on QuikSCAT

Coverage: 19 July 1999-present, global

Abstract:
The SeaWinds on QuikSCAT scatterometer provides normalized radar cross section (sigma-0) measurements of the Earth's surface. Typically, products such as PO.DAAC products 108 and 109 convert the sigma-0s to wind measurements. However, scatterometers have also proven useful in a variety of land and ice studies. This product consists of browse images made directly from the sigma-0s to aid in the selection of regions and time periods for study.

For each day, this dataset has 1 sigma-0 browse image for each combination of

  • 3 regions: global, north, and south
  • 2 polarizations: horizontal and vertical
  • 3 image types: average, standard deviation, and count

Regions: all global images (6 per day) are rectangular lat/lon grids covering the entire globe with a resolution of 5 pixels/deg, or about 22.5 km/pixel at the equator. They well suit mid-latitude regions but distort polar regions. The two sets of hemispheric products well suit the high-latitude regions. Those images are polar stereographic projections using a 70° reference latitude with a nominal grid size of about 22.5 km. The polar views include only measurements above a high latitude cutoff of 52°.

Polarizations: QuikSCAT measures the sigma-0s at both vertical and horizontal polarization. Since it is undesirable to combine measurements from different polarizations, measurements for each are kept separate.

Image Types: the average sigma-0s are temporal averages over a one-day period of all the sigma-0 measurements whose centers fall within each image pixel area. These are the most useful of the three image types. The standard deviation images are the normalized standard deviation of the measurements hitting each pixel divided by the mean value. The count images are the number of measurements.

Data Set Volume: There are 18 data files per day:
SIR Files

Size (in bytes)

region image type polarization uncompressed compressed
global average sigma-0 horizontal 3240960 ~2500000
vertical 3240960 ~2700000
count horizontal 3240960 ~700000
vertical 3240960 ~800000
standard deviation horizontal 3240960 ~1900000
vertical 3240960 ~2000000
north average sigma-0 horizontal 302080 ~200000
vertical 302080 ~200000
count horizontal 302080 ~80000
vertical 302080 ~80000
standard deviation horizontal 302080 ~150000
vertical 302080 ~150000
south average sigma-0 horizontal 302080 ~210000
vertical 302080 ~210000
count horizontal 302080 ~80000
vertical 302080 ~80000
standard deviation horizontal 302080 ~160000
vertical 302080 ~150000
total per day 23070720 ~10800000

Smallest order: One average sigma-0 file via FTP.

Standard Product: FTP

Data Format: SIR

Media Format: These data are available via FTP to podaac.jpl.nasa.gov, on CD-R and on 8mm EXABYTE tape in LINUX TAR.


Citation
ci121

References:

  • Ashcraft, I.S. and D.G. Long, 2000. SeaWinds Views Greenland, Proc. Int. Geosci. Rem. Sens. Sym., Honolulu, Hawaii, 6-10 July 2000
  • Dunbar, R.S. et al, April 2001. QuikSCAT Science Data Product User's Manual, Version 2.1, JPL Document D-18053, Jet Propulsion Laboratory, Pasadena, CA.
  • Long, D.G., 2000. A QuikSCAT/SeaWinds Sigma-0 Browse Product, Version 2.0, Brigham Young University, Provo, UT.
  • Long, D.G. and M.R. Drinkwater, 1999. Cryosphere Applications of NSCAT Data, IEEE Trans. on Geoscience and Remote Sensing, Vol. 37, No. 3, pp. 1671-1684
  • Huddleston, J.N. and B.W. Stiles, 2000. Multidimensional Histogram (MUDH) Rain Flag Product Description, Version 2.1, Jet Propulsion Laboratory, Pasadena, CA.
  • Remund, Q.P. and D.G. Long, 2000. Iterative Estimation of Antarctic Sea Ice Extent Using SeaWinds Data, Proc. Int. Geosci. Rem. Sens. Sym., Honolulu, Hawaii, 6-10 July 2000
  • Remund, Q.P. and D.G. Long, 1998. Sea Ice Mapping Algorithm for QuikSCAT and Seawinds, Proc. Int. Geosci. Rem. Sens. Sym., Seattle, Washington, 6-10 July, 1998, pp. 1686-1688.
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