data: $partialdiff sub T$ $integral dX$ [ NOAA NCDC ERSST version5 anom ]

∂_T ∫dX [ NOAA NCDC ERSST version5 anom ] : ∂_T Extended reconstructed SST anomalies data

anom anom int_dX int_dX ∂_T Extended reconstructed SST anomalies from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..

Independent Variables (Grids)

Time (time): grid: /T (days since 1960-01-01) ordered [ (1200 31 Jan 1854 - 2400 1 Mar 1854) (0000 2 Mar 1854 - 1200 31 Mar 1854) (1200 31 Mar 1854 - 2400 30 Apr 1854) ... (1200 31 Dec 2022 - 1200 31 Jan 2023)] N= 2028 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (1W) to (1W) by 2.0 N= 181 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

CE: 4.1999998
colorscalename: sstacolorscale
CS: -4.1999998
datatype: realarraytype
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperatureAnomaly
maxncolor: 254
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 2.02005700462307×10^-07 degree_Kelvin radian east second^-1
colorscale

References

Huang_etal2017

Last updated: Mon, 27 Mar 2023 13:29:42 GMT

Data Views

	T	X	Y	zlev
NOAA NCDC ERSST version5[sst anom ]
$partialdiff sub T$ $integral dX$ [ NOAA NCDC ERSST version5 anom ] 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