data: $partialdiff sub Y$ $integral dT$ $partialdiff sub Y$ $partialdiff sub T$ [ KAPLAN EXTENDED v1 ssta ]

∂_Y ∫dT ∂_Y ∂_T [ KAPLAN EXTENDED v1 ssta ] : ∂_Y ∂_Y ∂_T SST anomaly data

ssta ssta partial_T partial_Y int_dT int_dT ∂_Y ∂_Y ∂_T 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 (30E) to (25E) 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: 3282.80635001174 degree_Kelvin radian^-2 north
history: OS extended by NCEP

References

Kaplan_etal1998

Reynolds_Smith1994

Last updated: Thu, 23 Mar 2023 18:11:13 GMT

Data Views

	T	X	Y
$partialdiff sub Y$ $integral dT$ $partialdiff sub Y$ $partialdiff sub T$ [ 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