∂T [ Indices nino EXTENDED NINO4 climatology ]: ∂T NINO4 data
EXTENDED NINO4 NINO4
∂T NINO4 from Indices nino: Indices representative of the NINO 1 and 2, NINO 3, NINO 3.4, and NINO 4 regions.
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 Dec) by 1.0 N= 12 pts :grid
Other Info
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E30
- iridl:hasSemantics
- iridl:Nino4
- maxncolor
- 254
- units
- 12 degree_Kelvin year-1
- history
- Indices nino EXTENDED NINO4
- OS extended by NCEP
$integral dY$ [ ( $integral dX$ { KAPLAN EXTENDED v2 ssta } { 150W - 160E } ) / ( $integral dX$ dataflag { KAPLAN EXTENDED v2 ssta } { 150W - 160E } ) ] [ 5N - 5S ]
$partialdiff sub T$ [ Indices nino EXTENDED NINO4 climatology ]- Averaged over T2[1856, 2022]
References
Kaplan_etal1998
Reynolds_etal2002
Last updated: Mon, 18 Dec 2023 16:14:59 GMT
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
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units