data: $partialdiff sub T$ $partialdiff sub Y$ $partialdiff sub X$ [ NOAA NCDC ERSST version3b err ]

∂_T ∂_Y ∂_X [ NOAA NCDC ERSST version3b err ] : ∂_T ∂_Y ∂_X Estimated error standard deviation of analyzed_ersst data

err err partial_X partial_X partial_Y ∂_T ∂_Y ∂_X Estimated error standard deviation of analyzed_ersst from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.

Independent Variables (Grids)

Time (time): grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1854 - 2400 14 Feb 1854) (0000 15 Feb 1854 - 1200 16 Mar 1854) (1200 16 Mar 1854 - 2400 15 Apr 1854) ... (0000 16 Nov 2025 - 1200 16 Dec 2025)] N= 2063 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (87S) to (87N) by 2.0 N= 88 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

datatype: realarraytype
missing_value: NaN
pointwidth: 1.0
units: 0.0379954438658766 degree_Kelvin radian^-2 east second^-1
history: Version 3b

References

Smith_etal2008

Xue_etal2003

Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 00:00:00 GMT

Data Views

	T	X	Y	zlev
$partialdiff sub T$ $partialdiff sub Y$ $partialdiff sub X$ [ NOAA NCDC ERSST version3b err ] 0.0 meters[ X Y zlev \| T]	M	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