served from IRI/LDEO Climate Data Library
∂X [ COADS xlon |u| ] anomalies: ∂X data
umag partial_X ∂X from COADS xlon: Average longitude for gridbox.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Dec 1992) by 1.0 N= 1668 pts :grid
- Longitude
- grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- precision
- 0.2
- units
- unitless
- history
- Averaged over T2[1854, 1992] minimum 0.0% data present
References
R. J. Slutz, S. J. Lubker, J. D. Hiscox, S. D. Woodruff, R. L. Jenne, D. H. Joseph, P. M. Steuer, J. D. Elms. Comprehensive Ocean-Atmosphere Data Set: Release 1, number 268 pp., 1985
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 | |
 $partialdiff sub X$ [ COADS xlon |u| ] anomalies[ X Y | 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 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