data: $integral dT$ [ $partialdiff sub T$ ( Indices nino EXTENDED NINO34 ) climatology ]

∫dT [ ∂_T ( Indices nino EXTENDED NINO34 ) climatology ]: ∂_T NINO34 data

EXTENDED NINO34 NINO34 partial_T partial_T partial_T ∂_T NINO34 from Indices nino: Indices representative of the NINO 3.4 region.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1200 17 Jan 1960 - 1200 15 Feb 1960) (1200 15 Feb 1960 - 1200 16 Mar 1960) (1200 16 Mar 1960 - 2400 15 Apr 1960) (0000 16 Apr 1960 - 1200 16 May 1960) (1200 16 May 1960 - 2400 15 Jun 1960) (0000 16 Jun 1960 - 1200 16 Jul 1960) (1200 16 Jul 1960 - 1200 16 Aug 1960) (1200 16 Aug 1960 - 2400 15 Sep 1960) (0000 16 Sep 1960 - 1200 16 Oct 1960) (1200 16 Oct 1960 - 2400 15 Nov 1960) (0000 16 Nov 1960 - 1200 16 Dec 1960) (1200 16 Dec 1960 - 1200 16 Jan 1961) (1200 16 Jan 1961 - 1200 16 Feb 1961)] :grid

Other Info

bufferwordsize

CE

null

colorscalename

sstacolorscale

CS

null

datatype

doublearraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

units

1036800 degree_Kelvin second year^-1

history

$partialdiff sub T$ [ Indices nino EXTENDED NINO34 ]

OS extended by NCEP\0$G
$integral dY$ [ ( $integral dX$ { KAPLAN EXTENDED v2 ssta } { 120W - 170W } ) / ( $integral dX$ dataflag { KAPLAN EXTENDED v2 ssta } { 120W - 170W } ) ] [ 5N - 5S ]

$integral dT$ [ $partialdiff sub T$ ( Indices nino EXTENDED NINO34 ) climatology ]

Averaged over T2[Feb 1856 - Jan 1857, Feb 2013 - Jan 2014]

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: Wed, 01 Feb 2023 14:07:40 GMT

Data Views

	T
Indices nino[EXTENDED ]
$integral dT$ [ $partialdiff sub T$ ( Indices nino EXTENDED NINO34 ) 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