served from IRI/LDEO Climate Data Library
∂T ∂Y ∫dY ∫dT ∫dY [ Morliere taux ] : ∂T ∂Y zonal wind stress data
taux int_dY int_dT int_dY partial_Y ∂T ∂Y zonal wind stress from Morliere: Zonal and meridional wind stress data for the Atlantic and Eastern Pacific Oceans from Alain Morliere\'s model.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Jan 1990) by 1.0 N= 109 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (101W) to (21E) by 2.0 N= 62 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (36S) to (58N) by 2.0 N= 48 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- units
- 0.00174532925199433 kilogram meter-1 radian north second-2
- history
- Wind stresses from Alain Morliere's model.
Last 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| T | X | Y | |
 $partialdiff sub T$ $partialdiff sub Y$ $integral dY$ $integral dT$ $integral dY$ [ Morliere taux ] [ 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