served from IRI/LDEO Climate Data Library
∂X [ NMC9195 taux ]: ∂X zonal wind stress data
taux ∂X zonal wind stress from NMC9195: Wind stress data from the National Meteorological Center - now known as the National Centers for Environmental Prediction.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (taux)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (1252 28 Dec 1990 - 1106 5 Jan 1991) to (1252 6 Jan 1996 - 1106 13 Jan 1996) by 0.2309068 N= 262 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic [ (0.7407436W) (2.222231E) (3.703719E) ... (0.7392883W)] N= 243 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.875S) to (88.875N) by 1.469008 N= 122 pts :grid
Other Info
- units
- 5.72957795130823 kilogram meter-1 radian-1 east second-2
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 | |
 $partialdiff sub X$ [ NMC9195 taux ] taux[ 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