data: min [ $partialdiff sub T$ $partialdiff sub X$ ( NOAA NCDC ERSST version5 anom ) anomalies ]

min [ ∂_T ∂_X ( NOAA NCDC ERSST version5 anom ) anomalies ]: ∂_T ∂_X Extended reconstructed SST anomalies data

anom partial_X partial_T partial_T ∂_T ∂_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

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

687.549354156988 degree_Kelvin radian^-1 east year^-1

history

min [ $partialdiff sub T$ $partialdiff sub X$ ( NOAA NCDC ERSST version5 anom ) anomalies ]

Averaged over T2[16 Jan 1854 - 15 Jan 1855, 16 Jan 2022 - 15 Jan 2023] minimum 0.0% data present
min over X[1W, 3W] Y[88S, 88N] T[16 Jan 1854 - 15 Feb 1854, 16 Jan 2023 - 15 Feb 2023]

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
min [ $partialdiff sub T$ $partialdiff sub X$ ( NOAA NCDC ERSST version5 anom ) anomalies ] 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