data: max $partialdiff sub Y$ [ $integral dY$ ( NOAA NCDC ERSST version5 sst ) anomalies ]

max ∂_Y [ ∫dY ( NOAA NCDC ERSST version5 sst ) anomalies ] : ∂_Y Extended reconstructed sea surface temperature data

sst int_dY int_dY partial_Y ∂_Y 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 (Jul 2025) by 1.0 N= 2059 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

CE

null

CS

null

datatype

realarraytype

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

max $partialdiff sub Y$ [ $integral dY$ ( NOAA NCDC ERSST version5 sst ) anomalies ]

Averaged over T2[1854, 2024] minimum 0.0% data present
max over X[0, 2W] Y[88S, 88N]

References

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Last updated: Sun, 03 Aug 2025 17:08:48 GMT
Expires: Tue, 02 Sep 2025 00:00:00 GMT

Data Views

	T	zlev
max $partialdiff sub Y$ [ $integral dY$ ( NOAA NCDC ERSST version5 sst ) anomalies ] 0.0 meters[ zlev \| T]	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 T
Differentiate along T
Take differences along T