served from IRI/LDEO Climate Data Library
∫dT [ FSU 4yr ANOM taux ] climatology: zonal wind stress data
taux int_dT zonal wind stress from FSU 4yr ANOM: The monthly wind stress anomaly relative to the four year running mean.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (taux)] :grid
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 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
- units
- 0.00833333333333333 kilogram meter-1 second-2 year
- history
- Averaged over T2[16 Dec 1963 - 15 Dec 1964, 16 Dec 2000 - 15 Dec 2001]
References
Legler_OBrien1988Last updated: Mon, 12 Sep 2016 21:27:17 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| D | T | X | Y | |
 $integral dT$ [ FSU 4yr ANOM taux ] climatology taux[ 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