served from IRI/LDEO Climate Data Library
∂T [ FSU ANOM taux ] anomalies: ∂T zonal wind stress data
taux partial_T ∂T zonal wind stress from FSU ANOM: Raw wind stress data from FSU converted to anomalies by subtraction of the climatology.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (taux)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1961 - 15 Feb 1961) to (16 Jan 2002 - 15 Feb 2002) by 1.0 N= 493 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
- units
- 1.2 kilogram meter-1 second-2 year-1
- history
- Averaged over T2[16 Jan 1961 - 15 Jan 1962, 16 Jan 2001 - 15 Jan 2002]
References
Legler_OBrien1988Last 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 | |
 $partialdiff sub T$ [ FSU ANOM taux ] anomalies 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