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

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

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

Independent Variables (Grids)

Time: grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) 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:Nino3.4

maxncolor

254

units

degree_Celsius

standard units*

degree_Kelvin

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]

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