hasData_Center_Short_Name |
|
hasDataset_Online_Resource |
|
hasDataset_Title |
- Scatterometer Climatology of Ocean Winds (SCOW), by Risien et al.
|
hasEntry_ID |
|
hasReference |
-
Risien, C. M., and D. B. Chelton, 2008: A Global Climatology of
Surface Wind and Wind Stress Fields from Eight Years of QuikSCAT
Scatterometer Data. Journal of Physical Oceanography, 38(11),
2379-2413 (DOI: 10.1175/2008JPO3881.1), URL:
http://journals.ametsoc.org/doi/full/10.1175/2008JPO3881.1.
|
hasSummary |
-
This dataset consists of twelve variables for global seasonal
cycles of the wind and wind stress fields estimated from the 10-year
record (September 1999 - October 2009) of wind measurements by the
NASA QuikSCAT scatterometer. Seasonal cycles for these variables
were estimated using harmonic analysis where each multi-year time
series of monthly means was fitted to a nine-parameter regression
model consisting of a constant plus four harmonics.
Only monthly global maps (January - December), constructed from the
annual and semiannual harmonics, for the twelve SCOW wind variables
are archived here, while the regression coefficients from which the
monthly values were computed, as well as example scripts, can be
downloaded from SCOW web site
[http://numbat.coas.oregonstate.edu/scow/example_code.html]. For
researchers interested in more than just the annual and semiannual
harmonics, these regression coefficients include the higher-order 3
and 4 cycles per year harmonics. The regression coefficients allow
easy calculation of the seasonal cycle at each grid location at an
arbitrary time interval.
|
GCMD Sciencekeywords describing the dataset. Click on Keyword to find similar datasets | |