served from IRI/LDEO Climate Data Library
∫dX [ TRENBERTH Monthly taut ]: Scalar mean of stress data
Monthly taut Scalar mean of stress from TRENBERTH: Global ocean wind stress climatology based on ECMWF analyses by Trenberth et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude
- grid: /X (degree_east) ordered (178.75E) to (178.75E) by 2.5 N= 145 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (90S) to (90N) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- units
- 0.00174532925199433 kilogram meter-1 radian east second-2
- history
- ECMWF analyses Monthly Means 1980-1989
References
Trenberth_etal1989Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ [ TRENBERTH Monthly taut ][ X Y | T] | M | M | M |
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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