data: $integral dT$ $partialdiff sub Y$ [ NOAA NCDC ERSST version4 anom ]

∫dT ∂_Y [ NOAA NCDC ERSST version4 anom ] : ∂_Y Extended reconstructed SST anomalies data

anom anom anom partial_Y ∂_Y Extended reconstructed SST anomalies 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..

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1200 16 Dec 1853 - 1200 16 Jan 1854) (1200 16 Jan 1854 - 2400 14 Feb 1854) (0000 15 Feb 1854 - 1200 16 Mar 1854) ... (1200 15 Feb 2020 - 1200 15 Mar 2020)] N= 1995 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1E) to (1W) by 2.0 N= 180 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (87S) to (87N) by 2.0 N= 88 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
iridl:hasSemantics: iridl:SeaSurfaceTemperatureAnomaly
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 4950355.34993031 degree_Kelvin radian^-1 north second
history: Version 4 based on Version 3b

References

Huang_etal2015

Liu_etal2015

Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sat, 02 Dec 2023 00:00:00 GMT

Data Views

	T	X	Y	zlev
NOAA NCDC ERSST version4[anom IOD sst ]
$integral dT$ $partialdiff sub Y$ [ NOAA NCDC ERSST version4 anom ] 0.0 meters[ X Y zlev \| T]	M	M	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 X Y T
Differentiate along X Y T
Take differences along X Y T