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

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

EXTENDED 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 31 Dec 1959 - 1200 31 Jan 1960) (1200 31 Jan 1960 - 1200 1 Mar 1960) (1200 1 Mar 1960 - 1200 31 Mar 1960) (1200 31 Mar 1960 - 2400 30 Apr 1960) (0000 1 May 1960 - 1200 31 May 1960) (1200 31 May 1960 - 2400 30 Jun 1960) (0000 1 Jul 1960 - 1200 31 Jul 1960) (1200 31 Jul 1960 - 1200 31 Aug 1960) (1200 31 Aug 1960 - 2400 30 Sep 1960) (0000 1 Oct 1960 - 1200 31 Oct 1960) (1200 31 Oct 1960 - 2400 30 Nov 1960) (0000 1 Dec 1960 - 1200 31 Dec 1960) (1200 31 Dec 1960 - 1200 31 Jan 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[16 Jan 1856 - 15 Jan 1857, 16 Jan 2013 - 15 Jan 2014]

References

Kaplan_etal1998

Reynolds_etal2002

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

Data Views

	T
Indices nino EXTENDED[NINO34 ]
grid: /T (months since 1960-01-01) ordered (Jan 1856) to (Jul 2014) by 1.0 N= 1903 pts :grid	D
$integral dT$ [ $partialdiff sub T$ ( 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