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

served from 213.55.84.78

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

EXTENDED NINO34 int_dT int_dT int_dT ∂_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 Jul 1959 - 1200 16 Jun 1960) (1200 17 Aug 1959 - 1200 17 Jul 1960) (1200 15 Sep 1959 - 1200 15 Aug 1960) (1200 16 Oct 1959 - 1200 15 Sep 1960) (1200 15 Nov 1959 - 1200 15 Oct 1960) (1200 16 Dec 1959 - 1200 15 Nov 1960) (1200 15 Jan 1960 - 1200 15 Dec 1960) (1200 15 Feb 1960 - 1200 15 Jan 1961) (1200 17 Mar 1960 - 1200 15 Feb 1961) (1200 16 Apr 1960 - 1200 17 Mar 1961) (1200 17 May 1960 - 1200 17 Apr 1961) (1200 16 Jun 1960 - 1200 17 May 1961)] :grid

Other Info

CE

null

colorscalename

sstacolorscale

CS

null

datatype

realarraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

units

9.64506172839506×10^-07 degree_Kelvin second^-1 year

history

$integral dT$ [ 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 ]

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

Averaged over T2[16 Dec 1855 - 15 Dec 1856, 16 Dec 2012 - 15 Dec 2013]

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
$partialdiff sub T$ [ $integral dT$ ( 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