data: $partialdiff sub Y$ detrended-bfl $integral dT$ $partialdiff sub X$ [ NOAA NCDC ERSST version5 anom ]

∂_Y detrended-bfl ∫dT ∂_X [ NOAA NCDC ERSST version5 anom ] : ∂_Y ∂_X Extended reconstructed SST anomalies data

anom partial_X int_dT adif adif ∂_Y ∂_X 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 (Jan 1854) to (Feb 2023) by 1.0 N= 2030 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1W) to (3W) 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

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: 273.567195834312 degree_Kelvin radian^-2 east year

References

Huang_etal2017

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

Data Views

	T	X	Y	zlev
$partialdiff sub Y$ detrended-bfl $integral dT$ $partialdiff sub X$ [ 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