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

served from 213.55.84.78

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

EXTENDED 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 (days since 1960-01-01) (360) ordered [ (2354 10 Jul 1854 - 2354 11 Jul 1854) (2354 10 Aug 1854 - 2354 11 Aug 1854) (2354 10 Sep 1854 - 2354 11 Sep 1854) ... (0002 1 May 2015 - 0002 2 May 2015)] N= 1149 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

sstacolorscale

CS

null

datatype

doublearraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

units

degree_Celsius

standard units*

degree_Kelvin

history

$integral dT$ $partialdiff sub T$ [ 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 ]

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

$integral dT$ $partialdiff sub T$ [ 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]

References

Kaplan, A., M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan, Analyses of global sea surface temperature 1856-1991, Journal of Geophysical Research, 103, 18,567-18,589, 1998

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: Wed, 01 Feb 2023 14:07:40 GMT

Data Views

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