data: root mean sq $partialdiff sub X$ [ NOAA NCDC ERSST version5 anom ]

root mean sq ∂_X [ NOAA NCDC ERSST version5 anom ] : ∂_X Extended reconstructed SST anomalies data

anom partial_X ∂_X Extended reconstructed SST anomalies from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5.. is

Independent Variables (Grids)

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

Other Info

bufferwordsize: 8
CE: null
colorscalename: sstacolorscale
CS: null
datatype: doublearraytype
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperatureAnomaly
maxncolor: 254
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 57.2957795130823 degree_Kelvin radian^-1 east
history: Averaged over X[2W, 2W] Y[89S, 89N] T[Jan 1854, Feb 2023] minimum 0.0% data present

References

Huang, B., P. W. Thorne, V. F. Banzon, T. Boyer, G. Chepurin, J. H. Lawrimore, M. J. Menne, T. M. Smith, R. S. Vose, and H.-M. Zhang, 2017: Extended Reconstructed Sea Surface Temperature, version 5 (ERSSTv5): Upgrades, validations, and intercomparisons. J. Climate, 30, 8179-8205, doi:10.1175/JCLI-D-16-0836.1.

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

Data Views

	zlev
root mean sq $partialdiff sub X$ [ NOAA NCDC ERSST version5 anom ] 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