data: mean $partialdiff sub T$ [ Indices nino EXTENDED NINO34 climatology ]

mean ∂_T [ Indices nino EXTENDED NINO34 climatology ] : ∂_T NINO34 data

EXTENDED NINO34 NINO34 NINO34 partial_T ∂_T NINO34 from Indices nino: Indices representative of the NINO 3.4 region. is

Independent Variables (Grids)

Other Info

bufferwordsize

CE

null

colorscalename

sstacolorscale

CS

null

datatype

doublearraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

units

1.15740740740741×10^-05 degree_Kelvin second^-1

history

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 ]

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

Averaged over T2[1856, 2013]

mean $partialdiff sub T$ [ Indices nino EXTENDED NINO34 climatology ]

Averaged over T[1200 16 Jan 1960 - 1200 15 Feb 1960, 1200 16 Dec 1960]

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

Indices nino EXTENDED[ ]

grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1960 - 1200 15 Feb 1960) (1200 15 Feb 1960 - 1200 16 Mar 1960) (1200 16 Mar 1960 - 2400 15 Apr 1960) (0000 16 Apr 1960 - 1200 16 May 1960) (1200 16 May 1960 - 2400 15 Jun 1960) (0000 16 Jun 1960 - 1200 16 Jul 1960) (1200 16 Jul 1960 - 1200 16 Aug 1960) (1200 16 Aug 1960 - 2400 15 Sep 1960) (0000 16 Sep 1960 - 1200 16 Oct 1960) (1200 16 Oct 1960 - 2400 15 Nov 1960) (0000 16 Nov 1960 - 1200 16 Dec 1960)] :grid

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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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units