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

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

anom anom anom partial_T ∂_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 (months since 1960-01-01) ordered (Feb 1854) to (Jan 2023) by 1.0 N= 2028 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1E) to (1W) by 2.0 N= 180 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: null
colorscalename: sstacolorscale
CS: null
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: 12 degree_Kelvin year^-1
history: Averaged over T2[Feb 1854 - Jan 1855, Feb 2022 - Jan 2023] minimum 0.0% data present

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 ]
$partialdiff sub T$ [ NOAA NCDC ERSST version5 anom ] anomalies 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