Abstract:
Ocean surface wind vector components and wind stress curl
data products are derived from spatial
blending of high-resolution satellite data
(NASA Scatterometer - NSCAT) and
global weather center reanalyses (NCEP), resulting in
high temporal and spatial resolution datasets (6-hourly,
and 0.5 degree). This global dataset spans 12 months,
August 1996 through July 1997.
The NSCAT scatterometer data is oriented along polar-orbit
satellite swaths. The double-sided instrument yielded
two swaths. Each of them about 600 kilometers wide with a 350 km nadir
gap and at 50 km resolution. The NCEP data consists of
global, 6-hourly reanalysis fields on T62 Gaussian grid with
approximate resolution of 1.8 degrees.
Temporal Range:
1996 to 1997
Variables:
| Convergence |
Surface Winds |
Wind Stress |
Data Types:
Satellite
,
Grid
Data Contributors:
NWRA
Northwest Research Associates, Inc.
Publications:
Milliff, R.F., W.G. Large, J. Morzel, G. Danabasoglu, and T.M. Chin, 1999: Ocean general circulation model sensitivity to forcing from scatterometer winds. J. Geophys. Res., C5, 11337-11358.
Chin, T.M., R.F. Milliff, and W.G. Large, 1998: Basin-scale high-wavenumber sea surface wind fields from multiresolution analysis of scatterometer data. J. Atmos. Ocean. Tech., 15, 741-763.
Data Formats:
Binary (see dataset documentation)
Related RDA Datasets:
-
NSCAT Scatterometer Ocean Winds, Level 2
-
QSCAT/NCEP Blended Ocean Winds from Colorado Research Associates (version 5.0)
Metadata Record:
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.
This work is licensed under a Creative Commons Attribution 4.0 International License.