served from IRI/LDEO Climate Data Library
FSU SMOOTH4yr FULL tauy climatology: meridional wind stress data
tauy meridional wind stress from FSU SMOOTH4yr FULL: Anomalies from SMOOTH4yr ANOM plus mean values.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (tauy)] :grid
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (124E) to (70W) by 2.0 N= 84 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29S) to (29N) by 2.0 N= 30 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 19.98
- missing_value
- NaN
- units
- dynes /cm2
- standard units*
- 0.1 kilogram meter-1 second-2
- history
- Averaged over T2[1964, 2001] minimum 0.0% data present
References
Legler, D.M., and J.J. O'Brien, 1988; Tropical Pacific wind stress analysis for TOGA, IOC Time series of ocean measurements, IOC Technical Series 33, Volume 4, UNESCO.
Last updated: Mon, 12 Sep 2016 21:27:18 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| D | T | X | Y | |
 FSU SMOOTH4yr FULL tauy climatology tauy[ X Y D T |] | M | M | M | M |
|---|
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units