served from IRI/LDEO Climate Data Library
∫dX [ RC taux ]: zonal wind stress data
taux int_dX zonal wind stress from RC: Sea surface temperature and wind stress climatology for the tropical Pacific Ocean.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (taux0)] :grid
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (100E) to (70W) by 2.0 N= 96 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29S) to (29N) by 2.0 N= 30 pts :grid
Other Info
- datatype
- realarraytype
- units
- 0.00174532925199433 kilogram meter-1 radian east second-2
- history
- Rasmussen-Carpenter climatological uxf, with large drag coef.
References
Rasmusson, E. M., T. H. Carpenter. Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/El Niño. Mon. Wea. Rev. 110, 1982
Last updated: Wed, 24 Jan 2024 17:18:16 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| D | T | X | Y | |
 $integral dX$ [ RC taux ] taux0[ X Y T | D] | 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