served from IRI/LDEO Climate Data Library
∫dT ∂T [ ECP9293 tauy ] : ∂T meridional wind stress data
tauy partial_T ∂T meridional wind stress from ECP9293: Zonal and meridional wind stress data.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (tauy)] :grid
- Time (time)
- grid: /T (months since 01-Jan) ordered (Dec) to (Dec) by 1.0 N= 13 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1.125E) to (1.125W) by 1.121473 N= 320 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
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- dynes /cm2
- standard units*
- 0.1 kilogram meter-1 second-2
Last 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| D | T | X | Y | |
 $integral dT$ $partialdiff sub T$ [ ECP9293 tauy ] tauy[ X Y D | T] | M | 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