data: $integral dT$ [ Indices nino EXTENDED NINO3 ] climatology

served from IRI/LDEO Climate Data Library

∫dT [ Indices nino EXTENDED NINO3 ] climatology: NINO3 data

EXTENDED NINO3 int_dT 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 01-Jan) periodic (0000 1 Jan) to (0000 1 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:Nino3

maxncolor

254

units

0.0833333333333333 degree_Kelvin year

history

$integral dT$ [ 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 ]

$integral dT$ [ Indices nino EXTENDED NINO3 ] climatology

Averaged over T2[16 Dec 1855 - 15 Dec 1856, 16 Dec 2021 - 15 Dec 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
$integral dT$ [ Indices nino EXTENDED NINO3 ] 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