served from 213.55.84.78
min [ Indices nino EXTENDED NINO34 anomalies climatology ]: NINO34 data
EXTENDED NINO34 NINO34 NINO34 NINO34 NINO34 from Indices nino: Indices representative of the NINO 3.4 region. isIndependent Variables (Grids)
Other Info
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E30
- iridl:hasSemantics
- iridl:Nino3.4
- maxncolor
- 254
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- 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 ]
- OS extended by NCEP\0$G
- Indices nino EXTENDED NINO34 climatology
- Indices nino EXTENDED NINO34
- OS extended by NCEP\0$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] - OS extended by NCEP\0$G
- Indices nino EXTENDED NINO34
- Averaged over T2[1856, 2013]
min [ Indices nino EXTENDED NINO34 anomalies climatology ]- min over T[Jan 1960, Dec 1960]
- Indices nino EXTENDED NINO34
References
Kaplan_etal1998Reynolds_etal2002
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Data Views
 Indices nino[EXTENDED
] |
| grid: /T (days since 1960-01-01) ordered [ (Jan 1960) (Feb 1960) (Mar 1960) (Apr 1960) (May 1960) (Jun 1960) (Jul 1960) (Aug 1960) (Sep 1960) (Oct 1960) (Nov 1960) (Dec 1960)] :grid |
 min [ 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