data: Indices nino NCEP_OIv2 NINO4 anomalies

served from IRI/LDEO Climate Data Library

Indices nino NCEP_OIv2 NINO4 anomalies: NINO4 data

NCEP_OIv2 NINO4 NINO4 from Indices nino: Indices representative of the NINO 1 and 2, NINO 3, NINO 3.4, and NINO 4 regions.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Nov 1981) to (Jan 2023) by 1.0 N= 495 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

sstacolorscale

CS

null

datatype

doublearraytype

iridl:hasSemantics

iridl:Nino4

maxncolor

254

pointwidth

1.0

standard_name

sea_surface_temperature

units

degree_Celsius

standard units*

degree_Kelvin

history

Indices nino NCEP_OIv2 NINO4
$integral dY$ [ ( $integral dX$ { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) / ( $integral dX$ dataflag { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) ] [ 5N - 5S ]

Indices nino NCEP_OIv2 NINO4 climatology

$integral dY$ [ ( $integral dX$ { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) / ( $integral dX$ dataflag { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) ] [ 5N - 5S ]
Averaged over T2[Nov 1981 - Oct 1982, Nov 2021 - Oct 2022]

References

Reynolds_etal2002

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

Data Views

	T
Indices nino NCEP_OIv2 NINO4 anomalies[ \| 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