data: Indices nino EXTENDED NINO4 climatology

served from IRI/LDEO Climate Data Library

Indices nino EXTENDED NINO4 climatology: NINO4 data

EXTENDED NINO4 NINO4 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 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid

Other Info

CE

null

colorscalename

sstacolorscale

CS

null

datatype

realarraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino4

maxncolor

254

units

degree_Celsius

standard units*

degree_Kelvin

history

Indices nino EXTENDED NINO4

OS extended by NCEP
$integral dY$ [ ( $integral dX$ { KAPLAN EXTENDED v2 ssta } { 150W - 160E } ) / ( $integral dX$ dataflag { KAPLAN EXTENDED v2 ssta } { 150W - 160E } ) ] [ 5N - 5S ]

Indices nino EXTENDED NINO4 climatology

Averaged over T2[1856, 2022]

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 NINO4 climatology[ 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