∂T [ Indices nino NCEP_OIv2 NINO4 anomalies ]: ∂T NINO4 data
NCEP_OIv2 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 1960-01-01) ordered (16 Nov 1981 - 15 Dec 1981) to (16 Dec 2022 - 15 Jan 2023) by 1.0 N= 494 pts :grid
Other Info
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- realarraytype
- iridl:hasSemantics
- iridl:Nino4
- maxncolor
- 254
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 12 degree_Kelvin year-1
- history
- Indices nino NCEP_OIv2 NINO4
$integral dY$ [ ( $integral dX$ { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) / ( $integral dX$ dataflag { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) ] [ 5N - 5S ]
- Indices nino NCEP_OIv2 NINO4 climatology
- $integral dY$ [ ( $integral dX$ { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) / ( $integral dX$ dataflag { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta } { 150W - 160E } ) ] [ 5N - 5S ]
Averaged over T2[Nov 1981 - Oct 1982, Nov 2021 - Oct 2022]
References
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Reynolds_etal2002
Last updated: Mon, 18 Dec 2023 16:15:30 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