data: $integral dX$ $integral dY$ $partialdiff sub T$ [ IGOSS nmc Reyn

served from IRI/LDEO Climate Data Library

∫dX ∫dY ∂_T [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ] : ∂_T Sea Surface Temperature Anomaly data

monthly ssta ssta ssta ssta partial_T int_dY ∂_T Sea Surface Temperature Anomaly from IGOSS nmc Reyn_SmithOIv1: Sea surface temperature fields blended from ship, buoy and bias-corrected satellite data (Reynolds and Smith 1994).

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Dec 1981) to (Feb 2003) by 1.0 N= 255 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (179.5W) to (179.5W) by 1.0 N= 361 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid

Other Info

bufferwordsize

CE

4.1999998

colorscalename

sstacolorscale

CS

-4.1999998

datatype

doublearraytype

maxncolor

254

PLOTCOAST

units

0.00365540903744051 degree_Kelvin radian² east year^-1

history

$integral dX$ $integral dY$ $partialdiff sub T$ [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ]

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

colorscale

References

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

Last updated: Mon, 12 Sep 2016 21:14:59 GMT

Data Views

	T	X	Y
$integral dX$ $integral dY$ $partialdiff sub T$ [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ] [ X Y \| T]	M	M	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 X Y T
Differentiate along X Y T
Take differences along X Y T