served from IRI/LDEO Climate Data Library
∫dT [ WEARE MONTHLY tauy ]: meridional wind stress data
MONTHLY tauy int_dT meridional wind stress from WEARE: Marine climate atlas of the tropical Pacific Ocean.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1957) to (0000 1 Jan 1977) by 1.0 N= 241 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (112.5E) to (72.5W) by 5.0 N= 36 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (35S) to (25N) by 5.0 N= 13 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- 0.00833333333333333 kilogram meter-1 second-2 year
- history
- Weare averaged surface data
References
Weare_etal1980Weare_etal1981
Last updated: Mon, 12 Sep 2016 21:13:53 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ [ WEARE MONTHLY tauy ][ Y X | T] | 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 Y X T
- Differentiate along Y X T
- Take differences along Y X T
RMS (root mean square with mean *not* removed) over Y X T | Y X Y T X T | Y X T |
RMSA (root mean square with mean removed) over Y X T | Y X Y T X T | Y X T |
Maximum over Y X T | Y X Y T X T | Y X T |
Minimum over Y X T | Y X Y T X T | Y X T |
Detrend (best-fit-line) over Y X T | Y X Y T X T | Y X T |
Note on units