served from maprom.malimeteo.ml
∫dX ∫dX [ KAPLAN EXTENDED v1 ssta ] : SST anomaly data
ssta ssta ssta int_dX int_dX 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 (16 Jan 1856 - 15 Feb 1856) to (16 Feb 2003 - 15 Mar 2003) by 1.0 N= 1766 pts :grid
- Longitude
- grid: /X (degree_east) ordered (25E) to (30E) by 5.0 N= 74 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (85S) to (85N) by 5.0 N= 35 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- 0.000304617419786709 degree_Kelvin radian2 east
- history
- OS extended by NCEP
References
Kaplan_etal1998Reynolds_Smith1994
Last updated: Thu, 23 Mar 2023 18:11:13 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dX$ $integral dX$ [ KAPLAN EXTENDED v1 ssta ] [ 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