served from IRI/LDEO Climate Data Library
∫dT ∫dT [ SERVAIN CLIMATOLOGY taux ] : zonal wind stress data
CLIMATOLOGY taux int_dT zonal wind stress from SERVAIN: Sea surface temperature and servain wind stress data for the tropical Atlantic Ocean.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (taux)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 16 Dec 1959) to (0000 16 Jan 1961) by 1.0 N= 14 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59W) to (15E) by 2.0 N= 38 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (29N) to (19S) by 2.0 N= 25 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 199.99599
- missing_value
- NaN
- units
- 0.000694444444444444 kilogram meter-1 second-2 year2
- history
- Servain Winds averaged over 25 years (64-88)
Last updated: Mon, 12 Sep 2016 21:13:52 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| D | T | X | Y | |
 $integral dT$ $integral dT$ [ SERVAIN CLIMATOLOGY 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