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

served from IRI/LDEO Climate Data Library

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

monthly ssta ssta ssta int_dT partial_T ∂_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 (16 Nov 1981 - 15 Dec 1981) to (16 Feb 2003 - 15 Mar 2003) by 1.0 N= 256 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (179.5W) to (179.5E) by 1.0 N= 360 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

null

colorscalename

sstacolorscale

CS

null

datatype

doublearraytype

maxncolor

254

PLOTCOAST

units

0.0174532925199433 degree_Kelvin radian north

history

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

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

References

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

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
$integral dY$ $partialdiff sub T$ $integral dT$ [ 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