data: $partialdiff sub T$ [ Indices nino KAPLAN NINO12 ] climatology

served from IRI/LDEO Climate Data Library

∂_T [ Indices nino KAPLAN NINO12 ] climatology: ∂_T NINO12 data

KAPLAN NINO12 partial_T ∂_T NINO12 from Indices nino: Indices representative of the NINO 1 and 2, NINO 3, NINO 3.4, and NINO 4 regions.

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

iridl:hasSemantics

iridl:Nino1_2

maxncolor

254

units

12 degree_Kelvin year^-1

Version

2; June 96

history

$partialdiff sub T$ [ Indices nino KAPLAN NINO12 ]

Reduced space (80 EOFs) analysis of MOHSST5 data
$integral dY$ [ ( $integral dX$ { KAPLAN RSA_MOHSST5 OS ssta } { 80W - 90W } ) / ( $integral dX$ dataflag { KAPLAN RSA_MOHSST5 OS ssta } { 80W - 90W } ) ] [ 0 - 10S ]

$partialdiff sub T$ [ Indices nino KAPLAN NINO12 ] climatology

Averaged over T2[16 Jan 1856 - 15 Jan 1857, 16 Jan 1990 - 15 Jan 1991]

References

Kaplan_etal1998

Last updated: Mon, 18 Dec 2023 16:15:30 GMT

Data Views

	T
$partialdiff sub T$ [ Indices nino KAPLAN NINO12 ] 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