data: $integral dY$ $partialdiff sub X$ detrended-bfl [ NOAA NCDC ERSST version5 sst ] anomalies

∫dY ∂_X detrended-bfl [ NOAA NCDC ERSST version5 sst ] anomalies: ∂_X Extended reconstructed sea surface temperature data

sst adif partial_X int_dY ∂_X Extended reconstructed sea surface temperature 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 (89S) to (89N) by 2.0 N= 90 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperature
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: degree_Celsius
standard units*: degree_Kelvin
history: Averaged over T2[1854, 2022] minimum 0.0% data present

References

Huang_etal2017

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

Data Views

	T	X	Y	zlev
$integral dY$ $partialdiff sub X$ detrended-bfl [ NOAA NCDC ERSST version5 sst ] 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