data: root mean sq $integral dT$ $partialdiff sub X$ [ NOAA NCDC ERSST version4 sst ]

root mean sq ∫dT ∂_X [ NOAA NCDC ERSST version4 sst ] : ∂_X Extended reconstructed sea surface temperature data

sst partial_X int_dT ∂_X Extended reconstructed sea surface temperature from NOAA NCDC ERSST version4: In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.. is

Independent Variables (Grids)

zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperature

missing_value

NaN

pointwidth

1.0

standard_name

sea_surface_temperature

units

4.77464829275686 degree_Kelvin radian^-1 east year

history

root mean sq $integral dT$ $partialdiff sub X$ [ NOAA NCDC ERSST version4 sst ]

Version 4 based on Version 3b
Averaged over X[2W, 2W] Y[89S, 89N] T[0000 1 Jan 1854, 0000 1 Mar 2020] minimum 0.0% data present

References

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Liu_etal2015

Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 00:00:00 GMT

Data Views

	zlev
root mean sq $integral dT$ $partialdiff sub X$ [ NOAA NCDC ERSST version4 sst ] 0.0 meters[ zlev \|]	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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units