served from IRI/LDEO Climate Data Library
∂T [ CARDONE taux ]: ∂T zonal wind stress data
taux ∂T zonal wind stress from CARDONE: ECMWF five day average wind stress; Cardone Level 2B data.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1200 3 Jan 1982 - 1200 8 Jan 1982) to (1200 23 Dec 1984 - 1200 28 Dec 1984) by 5.0 N= 218 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
- file_missing_value
- 9999.0
- missing_value
- NaN
- units
- 1.15740740740741×10-06 kilogram meter-1 second-3
- history
- ECMWF five day average wind stress. This is Cardone Level 2B data.
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 | |
 $partialdiff sub T$ [ CARDONE taux ] taux[ 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