data: $partialdiff sub Y$ [ $integral dT$ $partialdiff sub Y$ ( IGOSS nmc Reyn

served from IRI/LDEO Climate Data Library

∂_Y [ ∫dT ∂_Y ( IGOSS nmc Reyn_SmithOIv2 monthly ssta ) anomalies ]: ∂_Y ∂_Y Sea Surface Temperature Anomaly data

monthly ssta partial_Y int_dT int_dT ∂_Y ∂_Y Sea Surface Temperature Anomaly from IGOSS nmc Reyn_SmithOIv2: SST fields updated from version 1 with more COADS data, new sea-ice to SST conversion algorithm, and 1971-2000 climatology.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (0000 1 Nov 1981) to (0000 1 Feb 2023) by 1.0 N= 496 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (88.5S) to (88.5N) by 1.0 N= 178 pts :grid

Other Info

CE: null
colorscalename: sstacolorscale
CS: null
datatype: realarraytype
maxncolor: 254
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 273.567195834312 degree_Kelvin radian^-2 north year
history: Averaged over T2[16 Oct 1981 - 15 Oct 1982, 16 Oct 2021 - 15 Oct 2022] minimum 0.0% data present

References

Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625.

Last updated: Wed, 22 Mar 2023 18:04:56 GMT

Data Views

	T	X	Y
$partialdiff sub Y$ [ $integral dT$ $partialdiff sub Y$ ( IGOSS nmc Reyn_SmithOIv2 monthly ssta ) anomalies ][ 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