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KAPLAN EXTENDED v1 ssta: SST anomaly data
SST anomaly from KAPLAN EXTENDED v1: 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
- grid: /T (months since 1960-01-01) ordered (Jan 1856) to (Mar 2003) by 1.0 N= 1767 pts :grid
- Longitude
- grid: /X (degree_east) periodic (27.5E) to (22.5E) by 5.0 N= 72 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (87.5S) to (87.5N) by 5.0 N= 36 pts :grid
Other Info
- datatype
- realarraytype
- missing_value
- 1.00000002E30
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- OS extended by NCEP
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Kaplan_etal1998Reynolds_Smith1994
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 KAPLAN EXTENDED v1 ssta[ 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