data: Indices nino NCEP

served from IRI/LDEO Climate Data Library

Indices nino NCEP_OIv2 NINO12: NINO12 data

NCEP_OIv2 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 (time): grid: /T (months since 1960-01-01) ordered (Nov 1981) to (Jan 2023) by 1.0 N= 495 pts :grid

Other Info

bufferwordsize: 8
CE: 4.1999998
colorscalename: sstacolorscale
CS: -4.1999998
datatype: doublearraytype
iridl:hasSemantics: iridl:Nino1_2
maxncolor: 254
pointwidth: 1.0
scale_max: 4.1999998
scale_min: -4.1999998
standard_name: sea_surface_temperature
units: degree_Celsius
standard units*: degree_Kelvin
history: $integral dY$ [ ( $integral dX$ { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 80W - 90W } ) / ( $integral dX$ dataflag { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 80W - 90W } ) ] [ 0 - 10S ]
colorscale

References

Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625.

Last updated: Mon, 18 Dec 2023 16:14:59 GMT

Data Views

	T
Indices nino NCEP_OIv2 NINO12[ \| 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