data: $integral dT$ [ Indices nino NCEP

served from IRI/LDEO Climate Data Library

∫dT [ Indices nino NCEP_OIv2 NINO4 ]: NINO4 data

NCEP_OIv2 NINO4 int_dT 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

CE: null
colorscalename: sstacolorscale
CS: null
datatype: realarraytype
iridl:hasSemantics: iridl:Nino4
maxncolor: 254
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 0.0833333333333333 degree_Kelvin year
history: $integral dY$ [ ( $integral dX$ { 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 ]

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
$integral dT$ [ Indices nino NCEP_OIv2 NINO4 ][ \| 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