data: $partialdiff sub T$ detrended-bfl [ Indices nino EXTENDED NINO34 anomalies climatology ]

served from 213.55.84.78

∂_T detrended-bfl [ Indices nino EXTENDED NINO34 anomalies climatology ] : ∂_T NINO34 data

EXTENDED NINO34 NINO34 NINO34 adif adif ∂_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 - 2400 16 Feb) (0000 16 Feb - 1200 16 Mar) (1200 16 Mar - 2400 15 Apr) (0000 16 Apr - 1200 16 May) (1200 16 May - 2400 15 Jun) (0000 16 Jun - 1200 16 Jul) (1200 16 Jul - 1200 16 Aug) (1200 16 Aug - 2400 15 Sep) (0000 16 Sep - 1200 16 Oct) (1200 16 Oct - 2400 15 Nov) (0000 16 Nov - 1200 16 Dec)] :grid

Other Info

CE

null

colorscalename

sstacolorscale

Conventions

COARDS

CS

null

datatype

realarraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

units

1.15740740740741×10^-05 degree_Kelvin second^-1

history

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 ]

Indices nino EXTENDED NINO34 climatology

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 ]

Averaged over T2[1856, 2013]

$partialdiff sub T$ detrended-bfl [ Indices nino EXTENDED NINO34 anomalies climatology ]

Averaged over T2[1856, 2013]

References

Kaplan_etal1998

Reynolds_etal2002

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

Data Views

	T
Indices nino[EXTENDED ]
$partialdiff sub T$ detrended-bfl [ Indices nino EXTENDED NINO34 anomalies 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