max ∂T ∫dT [ Indices nino EXTENDED NINO34 ] : ∂T NINO34 data
EXTENDED NINO34 int_dT int_dT partial_T
∂T NINO34 from Indices nino: Indices representative of the NINO 3.4 region.
is
Independent 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
- $partialdiff sub T$ $integral dT$ [ Indices nino EXTENDED NINO34 ] 16 Jun 2014 - 15 Jul 2014
- 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 ]
max $partialdiff sub T$ $integral dT$ [ Indices nino EXTENDED NINO34 ] - max over T[16 Jan 1856 - 15 Feb 1856, 16 Jun 2014 - 15 Jul 2014]
References
page 0: illegal page type or format
PANIC: Invalid argument
PANIC: fatal region error detected; run recovery
PANIC: fatal region error detected; run recovery
PANIC: fatal region error detected; run recovery
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
- Differentiate along
- Take differences along
Average over
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