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It is often easier to use data that has been processed into a regular latitude-longitude grid. However, data from polar orbiting satellites are archived in swaths, relative to the satellite track, rather than a global grid. Satellite data must be averaged in places where tracks cross, and gaps in coverage must be filled. This problem can be solved by averaging over sufficiently long times, but many researchers are interested in averages over shorter times. The rapidly growing use of satellite observations has lead to many techniques for averaging and/or filling gaps.
Several forms of QuikSCAT gridded data are available on-line. Links to descriptions of the data sets that are publicly available. The following general table outlines the available gridded data products. A more detailed table that focusses on gridded techniques is also available. Further explanations of winds, pseudostresses, and stresses (including conversions) are available.
Information on Data Sets
The data sets that are publicly available are described.
Basic essentials are the times and regions of coverage, and the expected
delivery date or delay in delivery. Below are links to descriptions of
the data sets, and links to the data sets.
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Detailed Information on Gridded Data Sets
Documentation on data structures (e.g., layout of data, units, scaling factors) and meta-data will be developed by the providers of the data sets. If and when available, links to this information will be provided.
Delay In Production
All listed delays are relative to the end of the day that the data becomes available.
Ease of Access
Read routines are linked (if available) to the more detailed description of the data sets.
Alternatively, we anticipate access to these data sets through the Distributed Oceanographic Data System (DODS).
