served from IRI/LDEO Climate Data Library
∫dY ∫dT [ Morliere taux ] climatology: zonal wind stress data
taux int_dT int_dY int_dY 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 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 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 (35S) to (57N) by 2.0 N= 47 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- units
- 0.000145444104332861 kilogram meter-1 radian north second-2 year
- history
- $integral dY$ $integral dT$ [ Morliere taux ] climatology
- Wind stresses from Alain Morliere's model.
Averaged over T2[16 Dec 1980 - 15 Dec 1981, 16 Dec 1988 - 15 Dec 1989]
- Wind stresses from Alain Morliere's model.
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| T | X | Y | |
 $integral dY$ $integral dT$ [ Morliere taux ] climatology[ 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