served from IRI/LDEO Climate Data Library
∂T [ KAPLAN EXTENDED v2 ssta anomalies ]: ∂T SST anomaly data
ssta ssta ssta ∂T SST anomaly from KAPLAN EXTENDED v2: Statistically homogenous concatenation of Kaplan et al [1998] OS SST and Reynolds and Smith [1994] NCEP OI analyses; the latter gets degraded to the resolution of the former.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1856 - 15 Feb 1856) to (16 Dec 2022 - 15 Jan 2023) by 1.0 N= 2004 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (30E) to (25E) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (87.5S) to (87.5N) by 5.0 N= 36 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- 12 degree_Kelvin year-1
- history
- KAPLAN EXTENDED v2 ssta
OS extended by NCEP
- KAPLAN EXTENDED v2 ssta climatology
- OS extended by NCEP
Averaged over T2[1856, 2022] minimum 0.0% data present
- OS extended by NCEP
- KAPLAN EXTENDED v2 ssta
References
Kaplan, A., M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan, Analyses of global sea surface temperature 1856-1991, Journal of Geophysical Research, 103, 18,567-18,589, 1998R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
Last updated: Mon, 06 Feb 2023 15:45:35 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ [ KAPLAN EXTENDED v2 ssta 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