data: $partialdiff sub T$ [ Indices nino NCEP NINO12 ]

served from IRI/LDEO Climate Data Library

∂_T [ Indices nino NCEP NINO12 ]: ∂_T NINO12 data

NCEP NINO12 ∂_T NINO12 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 Feb 2003 - 15 Mar 2003) by 1.0 N= 256 pts :grid

Other Info

CE

4.1999998

colorscalename

sstacolorscale

CS

-4.1999998

datatype

realarraytype

iridl:hasSemantics

iridl:Nino1_2

maxncolor

254

PLOTCOAST

units

12 degree_Kelvin year^-1

history

$integral dY$ [ $integral dX$ ( NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ) ( 80W - 90W ) ] [ 0 - 10S ]

$integral dX$ [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ]

Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)

$integral dY$ [ $integral dX$ dataflag ( NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta ) ( 80W - 90W ) ] [ 0 - 10S ]

NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta

Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)

$partialdiff sub T$ [ Indices nino NCEP NINO12 ]

$integral dY$ [ ( $integral dX$ { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta } { 80W - 90W } ) / ( $integral dX$ dataflag { NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta } { 80W - 90W } ) ] [ 0 - 10S ]

colorscale

References

R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994

Last updated: Mon, 18 Dec 2023 16:14:59 GMT

Data Views

	T
$partialdiff sub T$ [ Indices nino NCEP NINO12 ][ \| 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