Daily wind fields are produced using a heavily
weighted temporal average. These products are on a 0.5° grid, for
each day scatterometer observations were available over part of the
globe. The scatterometer winds, and these gridded winds, are
calibrated to a height
of 10 m. This approach bins the satellite swath observations (in
0.5° bins) without any additional smoothing in space. The data set
should be considered research quality.
The effective sampling time is non-homogeneous in space and time,
but is typically between one and three days, with a peak at two
days. A characteristic averaging time can be estimated by applying
the averaging technique to the absolute value of the difference in
time between each observation and 12Z on the day to which the wind
field applies. This characteristic time is roughly half the
effective sampling period. The probability
distribution of this characteristic time
for a similar 1° resolution product shows the effectiveness of
this averaging technique. Data sets with homogeneous sampling
characteristics require much larger spatial and temporal bins for
averaging. This technique captures relatively rapid and small scale
changes that might othe rwise be missed.
A manuscript describing this gridding technique and data set has been prepared and is in press.
From this interface, you can download individual files, files grouped by
month, or the entire collection of gridded NSCAT data produced here at
COAPS.
NetCDF libraries are required to access the data, and can be obtained from
UNIDATA.
If you are uncertain what you need to do to access a compressed tar
file, a guide is available.
You may also download the data as indivdiual daily files:
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