data: $partialdiff sub T$ [ KAPLAN Indices GT avGOSTA ] anomalies

served from IRI/LDEO Climate Data Library

∂_T [ KAPLAN Indices GT avGOSTA ] anomalies: ∂_T SST anomaly data

∂_T [ KAPLAN Indices GT avGOSTA ] ∂_T SST anomaly: from GOSTA (MOHSST5).

Independent Variables (Grids)

D: grid: /D (character) unordered [ (avGOSTA)] :grid
Time (time): grid: /T (months since 1960-01-01) ordered (16 Jan 1856 - 15 Feb 1856) to (16 Nov 1991 - 15 Dec 1991) by 1.0 N= 1631 pts :grid

Other Info

CE: null
CS: null
file_missing_value: 1.00000002E30
missing_value: NaN
units: 12 degree_Kelvin year^-1
history: Averaged over T2[16 Jan 1856 - 15 Jan 1857, 16 Jan 1990 - 15 Jan 1991] minimum 0.0% data present

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

Cane, M.A., A.C. Clement, A. Kaplan, Y. Kushnir, R. Murtugudde, D. Pozdnyakov, R. Seager, and S.E. Zebiak., 1997: 20th century sea surface temperature trends. Science, 275, 957--960.

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	D	T
$partialdiff sub T$ [ KAPLAN Indices GT avGOSTA ] anomalies avGOSTA[ D \| T]	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 T
Differentiate along T
Take differences along T