data: $partialdiff sub T$ [ Indices nino EXTENDED NINO3 ]

served from IRI/LDEO Climate Data Library

∂_T [ Indices nino EXTENDED NINO3 ]: ∂_T NINO3 data

EXTENDED NINO3 ∂_T NINO3 from Indices nino: Indices representative of the NINO 1 and 2, NINO 3, NINO 3.4, and NINO 4 regions.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Jan 1856 - 15 Feb 1856) to (16 Dec 2022 - 15 Jan 2023) by 1.0 N= 2004 pts :grid

Other Info

CE

4.1999998

colorscalename

sstacolorscale

CS

-4.1999998

datatype

realarraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3

maxncolor

254

units

12 degree_Kelvin year^-1

history

$partialdiff sub T$ [ Indices nino EXTENDED NINO3 ]

OS extended by NCEP
$integral dY$ [ ( $integral dX$ { KAPLAN EXTENDED v2 ssta } { 90W - 150W } ) / ( $integral dX$ dataflag { KAPLAN EXTENDED v2 ssta } { 90W - 150W } ) ] [ 5N - 5S ]

colorscale

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

Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625.

Last updated: Mon, 18 Dec 2023 16:14:30 GMT

Data Views

	T
$partialdiff sub T$ [ Indices nino EXTENDED NINO3 ][ \| T]	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