data: $partialdiff sub X$ $integral dT$ $integral dY$ [ KAPLAN EXTENDED v2 ssta ]

∂_X ∫dT ∫dY [ KAPLAN EXTENDED v2 ssta ] : ∂_X SST anomaly\0~ data

ssta int_dY int_dT ∂_X SST anomaly\0~ 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\0 ��X �.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1856) to (0000 1 Aug 2014) by 1.0 N= 1904 pts :grid
Longitude: grid: /X (degree_east) periodic (25E) to (20E) 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

CE: null
CS: null
datatype: realarraytype
file_missing_value: 1.00000002E30
missing_value: NaN
units: 0.0833333333333334 degree_Kelvin year
history: OS extended by NCEP\0$G

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, 1998

R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994

Last updated: Tue, 29 Mar 2016 08:02:46 GMT

Data Views

	T	X	Y
$partialdiff sub X$ $integral dT$ $integral dY$ [ KAPLAN EXTENDED v2 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