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The following list summarizes some of the
important characteristics of OPeNDAP served data sets accessible through this
portal. Graphical User Interfaces (GUIs) have been developed to search
and access some of these data collections and can be acquired in the Matlab
OPeNDAP Ocean Toolbox. The data sets have all been organized and
more fully described in a THREDDS catalog, which includes important metadata
as well as enabling further access to the data down to the granule
level.
All of the following data collections are available via OPeNDAP command line clients:
- FSU/COAPS NSCAT and
QuikSCAT wind data consists of daily and monthly mean
fields of stress and pseudo-stress over the near-surface global ocean
on 0.5° and 1.0° grids. These COAPS (Center for Ocean-Atmospheric
Prediction Studies) wind products were derived from NSCAT and QuikSCAT scatterometer measurements from sun-synchronous orbit. QuikSCAT data have been
available since 1999 while the NSCAT coverage is more limited and only
available during 1996-1997. Indian Ocean and Gulf of Mexico regional
subsets are also included in the NSCAT and QuikSCAT time series data,
respectively. A Matlab GUI has not yet been planned for this data
set.
- NASA/JPL NSCAT data were derived from the NASA Scatterometer (NSCAT) that was launched into sun-synchronous orbit aboard the ADEOS satellite
in 1996. Data collection was terminated prematurely due to a sudden
power loss in the satellite in June 1997. The time series data consists
of daily near-surface wind vectors (both speed and direction) over the
global oceans at 50 km spatial resolution. A Matlab GUI has not yet
been planned for this data set.
- NASA/JPL SSM/I Surface Wind
data are derived from the Special Sensor Microwave Imager (SSM/I) aboard the
DMSP series (F-8, F-10, F-11, F-13, F-14, and F-15) of sun-synchronous satellites. These data consist of
monthly averaged horizontal wind vectors (speed and direction) on a
1.0° grid over the global oceans from 1987 to 2004. Speed is derived
mainly from the DMSP satellite data while direction is assigned by an
optimal combination of these speeds, an atmospheric model's output, and
in-situ data. This time series includes both Level 3.0 and 3.5 data. A
Matlab GUI has not yet been planned for this data set.
- NASA/MSFC SSM/I Wind Speed
data are available on 0.5° daily grids over the global ocean from 2004
to the present. This data set was produced by the Global Hydrology
Resource Center (GHRC) from data recorded by the Special Sensor Microwave Imager (SSM/I) aboard the
Defense Meteorological Satellite Program (DMSP) series (F-13, F-14, and
F-15) of sun-synchronous satellites. Wind speed was derived
using Wentz's Decode 4 algorithm. A Matlab GUI has not yet been
planned for this data set.
- NOAA/Coastwatch QuikSCAT
Wind data include meridional and zonal components of wind
velocity and stress in addition to wind divergence. These time series
data were derived from measurements by the SeaWinds instrument aboard NASA's QuikSCAT
satellite in sun-synchronous orbit. All computations are
performed on the individual swath data, which are then mapped to a
global grid of 25 km resolution using a simple arithmetic mean to
produce composite images at daily, 3 day, 4 day, 8 day, 14 day, and
monthly intervals. Coverage for this data set is limited to only the
last year, but it is hoped this will eventually be expanded back in
time for a longer time series. A Matlab GUI has not yet been planned for this data set.
In addition, the following data collection is also available through the Matlab OPeNDAP Ocean Toolbox:
- NASA/JPL SeaWinds on
QuikSCAT and Adeos-II has been measuring near-surface
wind speed, stress and direction over the global ocean since 1999. The SeaWinds instrument, a microwave radar
scatterometer, has been in a sun-synchronous orbit aboard these two satellites.
SeaWinds on QuikSCAT was designed as a "quick recovery" mission to fill
the gap created by the loss of data from the NASA Scatterometer
(NSCAT). These time series data, which includes meridional and zonal
components of wind velocity and stress, is available daily at a 25 km
spatial resolution. A Matlab GUI has been developed for these data and
is available in the Matlab OPeNDAP Ocean Toolbox.
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