served from 213.55.84.78
mean [ ∫dT ( Indices nino EXTENDED NINO34 ) anomalies climatology ]: NINO34 data
EXTENDED NINO34 int_dT int_dT int_dT NINO34 from Indices nino: Indices representative of the NINO 3.4 region. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E30
- iridl:hasSemantics
- iridl:Nino3.4
- maxncolor
- 254
- units
- 0.0833333333333333 degree_Kelvin year
- history
- $integral dT$ [ 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 ]
- OS extended by NCEP\0$G
- $integral dT$ [ Indices nino EXTENDED NINO34 ] climatology
- $integral dT$ [ 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[16 Dec 1855 - 15 Dec 1856, 16 Dec 2012 - 15 Dec 2013] - OS extended by NCEP\0$G
- $integral dT$ [ Indices nino EXTENDED NINO34 ]
- Averaged over T2[16 Dec 1855 - 15 Dec 1856, 16 Dec 2012 - 15 Dec 2013]
mean [ $integral dT$ ( Indices nino EXTENDED NINO34 ) anomalies climatology ]- Averaged over T[0000 1 Jan, 0000 1 Dec]
- $integral dT$ [ Indices nino EXTENDED NINO34 ]
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, 1998Reynolds, 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
] |
 mean [ $integral dT$ ( Indices nino EXTENDED NINO34 ) anomalies climatology ][ |] |
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
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