data: mean $partialdiff sub T$ [ NOAA NCDC ERSST version5 sst climatology ]

mean ∂_T [ NOAA NCDC ERSST version5 sst climatology ] : ∂_T Extended reconstructed sea surface temperature data

sst sst partial_T ∂_T Extended reconstructed sea surface temperature from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..

Independent Variables (Grids)

latitude (latitude): grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize

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

12 degree_Kelvin year^-1

history

mean $partialdiff sub T$ [ NOAA NCDC ERSST version5 sst climatology ]

Averaged over T2[1854, 2024] minimum 0.0% data present
Averaged over X[1W, 1W] T[16 Dec - 15 Jan, 16 Nov - 15 Dec] minimum 0.0% data present

References

Huang_etal2017

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

Data Views

	Y	zlev
mean $partialdiff sub T$ [ NOAA NCDC ERSST version5 sst climatology ] 0.0 meters[ Y zlev \|]	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 Y
Differentiate along Y
Take differences along Y