served from IRI/LDEO Climate Data Library
∫dX ∫dX [ EC9293 taux ] : zonal wind stress data
taux int_dX zonal wind stress from EC9293: Zonal and meridional wind stress data.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (taux)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1992) to (Dec 1993) by 1.0 N= 24 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0.003526688E) to (0.003540039W) by 1.121473 N= 322 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.8785S) to (88.8785N) by 1.117969 N= 160 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- units
- 3.04617419786709×10-05 kilogram meter-1 radian2 east second-2
Last updated: Mon, 12 Sep 2016 21:13:53 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| D | T | X | Y | |
 $integral dX$ $integral dX$ [ EC9293 taux ] 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