data: $partialdiff sub T$ $partialdiff sub T$ [ NINO3 climatology ]

served from IRI/LDEO Climate Data Library

∂_T ∂_T [ NINO3 climatology ] : ∂_T ∂_T Sea Surface Temperature Anomaly data

ssta ssta ssta int_dX int_dY int_dY int_dY partial_T ∂_T ∂_T Sea Surface Temperature Anomaly from CAC: Climatological, smoothed, and raw sea surface temperature data for the tropical Pacific Ocean from the Climate Analysis Center (now known as the Climate Prediction Center).

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (Dec) to (Nov) by 1.0 N= 12 pts :grid

Other Info

CE

null

colorscalename

sstacolorscale

CS

null

datatype

realarraytype

maxncolor

254

units

0.0438649084492861 degree_Kelvin radian² north year^-2

history

NINO3

Climate Analysis Center SST
[ $integral dY$ ( $integral dX$ { CAC ssta } { 90W - 150W } ) ( 5N - 5S ) ] / 600.

$partialdiff sub T$ $partialdiff sub T$ [ NINO3 climatology ]

Averaged over T2[1970, 2002]

References

Woodruff_etal1993

Reynolds_Smith1994

Last updated: Mon, 12 Sep 2016 21:27:18 GMT

Data Views

	T
$partialdiff sub T$ $partialdiff sub T$ [ NINO3 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