served from IRI/LDEO Climate Data Library
∂Y ∂Y ∂X [ KAPLAN EXTENDED ssta anomalies ] anomalies climatology: ∂Y ∂Y ∂X SST anomaly data
EXTENDED ssta ssta ssta partial_X partial_X partial_Y partial_Y partial_Y ∂Y ∂Y ∂X SST anomaly from KAPLAN: Various datasets by Kaplan et. al.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 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 (80S) to (80N) by 5.0 N= 33 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- 188090.948814419 degree_Kelvin radian-3 east
- history
- $partialdiff sub Y$ $partialdiff sub Y$ $partialdiff sub X$ [ KAPLAN EXTENDED ssta anomalies ]
- 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
- $partialdiff sub Y$ $partialdiff sub Y$ $partialdiff sub X$ [ KAPLAN EXTENDED ssta anomalies ] climatology
- 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
- Averaged over T2[1856, 2002] minimum 0.0% data present
- $partialdiff sub Y$ $partialdiff sub Y$ $partialdiff sub X$ [ KAPLAN EXTENDED ssta anomalies ]
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 | |
 $partialdiff sub Y$ $partialdiff sub Y$ $partialdiff sub X$ [ KAPLAN EXTENDED ssta anomalies ] anomalies climatology[ 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