served from IRI/LDEO Climate Data Library
∫dY ∫dT [ KAPLAN EXTENDED ssta anomalies ] : SST anomaly data
EXTENDED ssta ssta ssta int_dT SST anomaly from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1856) to (0000 1 Apr 2003) by 1.0 N= 1768 pts :grid
- Longitude
- grid: /X (degree_east) periodic (30E) to (25E) by 5.0 N= 72 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (90S) to (90N) by 5.0 N= 37 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- 0.00145444104332861 degree_Kelvin radian north year
- history
- KAPLAN EXTENDED ssta
OS extended by NCEP
- KAPLAN EXTENDED ssta climatology
- OS extended by NCEP
Averaged over T2[1856, 2002] minimum 0.0% data present
- OS extended by NCEP
- KAPLAN EXTENDED ssta
Last updated: Thu, 04 Nov 2021 17:46:40 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ $integral dT$ [ KAPLAN EXTENDED ssta anomalies ] [ X Y | T] | 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