∫dT ∂T [ Indices nino EXTENDED NINO34 ] : ∂T NINO34 data
EXTENDED NINO34 NINO34 NINO34 partial_T
∂T NINO34 from Indices nino: Indices representative of the NINO 3.4 region.
Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1856 - 1200 15 Feb 1856) (1200 15 Feb 1856 - 1200 16 Mar 1856) (1200 16 Mar 1856 - 2400 15 Apr 1856) ... (0000 16 Jun 2014 - 1200 16 Jul 2014)] N= 1902 pts :grid
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
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- $integral dT$ $partialdiff sub T$ [ 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 ]
References
Kaplan_etal1998
Reynolds_etal2002
Last updated: Wed, 01 Feb 2023 14:07:40 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