data: Indices nino EXTENDED NINO34

served from IRI/LDEO Climate Data Library

Indices nino EXTENDED NINO34: NINO34 data

EXTENDED NINO34 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 (Jan 1856) to (Jan 2023) by 1.0 N= 2005 pts :grid

Other Info

bufferwordsize

CE

4.1999998

colorscalename

sstacolorscale

CS

-4.1999998

datatype

doublearraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

scale_max

4.1999998

scale_min

-4.1999998

units

degree_Celsius

standard units*

degree_Kelvin

history

Indices nino EXTENDED NINO34

OS extended by NCEP
$integral dY$ [ ( $integral dX$ { KAPLAN EXTENDED v2 ssta } { 120W - 170W } ) / ( $integral dX$ dataflag { KAPLAN EXTENDED v2 ssta } { 120W - 170W } ) ] [ 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 16:15:30 GMT

Data Views

	T
Indices nino EXTENDED NINO34[ \| 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