served from IRI/LDEO Climate Data Library
∫dT [ CARDONE tauy ]: meridional wind stress data
tauy meridional wind stress from CARDONE: ECMWF five day average wind stress; Cardone Level 2B data.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (tauy)] :grid
- Time (time)
- grid: /T (julian_day) ordered (0000 1 Jan 1982) to (0000 31 Dec 1984) by 5.0 N= 220 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (80.625W) to (15E) by 1.875 N= 52 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30S) to (30N) by 1.875 N= 33 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9999.0
- missing_value
- NaN
- units
- 8640 kilogram meter-1 second-1
- history
- ECMWF five day average wind stress. This is Cardone Level 2B data.
Last updated: Mon, 12 Sep 2016 21:13:52 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| D | T | X | Y | |
 $integral dT$ [ CARDONE tauy ] tauy[ X Y D | T] | M | 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 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