data: detrended-bfl $integral dT$ detrended-bfl [ Indices nino EXTENDED NINO34 anomalies climatology ]

served from 213.55.84.78

detrended-bfl ∫dT detrended-bfl [ Indices nino EXTENDED NINO34 anomalies climatology ] : NINO34 data

EXTENDED NINO34 NINO34 NINO34 adif int_dT NINO34 from Indices nino: Indices representative of the NINO 3.4 region.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 1.0 N= 13 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

sstacolorscale

CS

null

datatype

doublearraytype

file_missing_value

1.00000002E30

iridl:hasSemantics

iridl:Nino3.4

maxncolor

254

units

0.0833333333333333 degree_Kelvin year

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 ]

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]

detrended-bfl $integral dT$ detrended-bfl [ Indices nino EXTENDED NINO34 anomalies climatology ]

Averaged over T2[1856, 2013]

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

Data Views

	T
Indices nino[EXTENDED ]
detrended-bfl $integral dT$ detrended-bfl [ Indices nino EXTENDED NINO34 anomalies climatology ] [ T \|]	M

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