data: detrended-bfl $partialdiff sub T$ [ Indices nino EXTENDED NINO34 ] anomalies

detrended-bfl ∂_T [ Indices nino EXTENDED NINO34 ] anomalies: ∂_T NINO34 data

EXTENDED NINO34 NINO34 partial_T adif adif ∂_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 Aug 1854 - 2354 11 Aug 1854) (2354 11 Nov 1854 - 2354 12 Nov 1854) (2354 14 Apr 1855 - 2354 15 Apr 1855) ... (0002 30 Feb 2015 - 0002 1 Mar 2015)] N= 356 pts :grid

Other Info

CE

null

colorscalename

sstacolorscale

CS

null

datatype

realarraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

units

1.15740740740741×10^-05 degree_Kelvin second^-1

history

detrended-bfl $partialdiff sub T$ [ 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 ]

detrended-bfl $partialdiff sub T$ [ Indices nino EXTENDED NINO34 ] climatology

detrended-bfl $partialdiff sub T$ [ 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[Feb 1856 - Jan 1857, Feb 2013 - Jan 2014]

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 ]
detrended-bfl $partialdiff sub T$ [ 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