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BYU (D. Long) Daily Sigma-0 (22.5km) Browse Images |
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Abstract
References |
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Product 123 |
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Abstract |
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ab123
Source/sensor: SeaWinds on ADEOS-II (Midori-II)
Coverage: 10 April 2003 to 24 October 2003, global
Abstract:
The SeaWinds on ADEOS-II (Midori-II) scatterometer provides normalized radar cross section (sigma0) measurements of the Earth's surface. Typically, products such as PO.DAAC products 108 and 109 convert the sigma0s 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 sigma0s to aid in the selection of regions and time periods for study.
The processing for this product is the same as for PO.DAAC Product 121, BYU Daily Browse Images of QuikSCAT Sigma-0 Measurements (D. Long) except that the raw sigma0s come from SeaWinds on ADEOS-II instead of SeaWinds on QuikSCAT.
For each day, this dataset has 1 sigma0 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: SeaWinds measures the sigma0s 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 sigma0s are temporal averages over a one-day period of all the sigma0 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 sigma0 |
horizontal |
3240960 |
~2500000 |
| vertical |
3240960 |
~2700000 |
| count |
horizontal |
3240960 |
~700000 |
| vertical |
3240960 |
~800000 |
| standard deviation |
horizontal |
3240960 |
~1900000 |
| vertical |
3240960 |
~2000000 |
| north |
average sigma0 |
horizontal |
302080 |
~200000 |
| vertical |
302080 |
~200000 |
| count |
horizontal |
302080 |
~80000 |
| vertical |
302080 |
~80000 |
| standard deviation |
horizontal |
302080 |
~150000 |
| vertical |
302080 |
~150000 |
| south |
average sigma0 |
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 sigma0 file via FTP.
Standard Product: FTP
Data Format: SIR
Media Format: These data are available via anonymous FTP to podaac.jpl.nasa.gov, directory /pub/ocean_wind/seawinds/sigma0browse, or on DVD
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References |
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ci123
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, October 2003. SeaWinds Science Data Product User's Manual, Version 1.1, JPL Document D-21551, Jet Propulsion Laboratory, Pasadena, CA.
- Huddleston, J.N. and B.W. Stiles, 2000. Multidimensional Histogram (MUDH) Rain Flag Product Description, Version 2.1, 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
- 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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