data: $partialdiff sub Y$ $integral dY$ [ NOAA NCDC ERSST version4 sst ]

∂_Y ∫dY [ NOAA NCDC ERSST version4 sst ] : ∂_Y Extended reconstructed sea surface temperature data

sst int_dY int_dY int_dY ∂_Y 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..

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Jan 1854 - 15 Feb 1854) to (16 Jan 2020 - 15 Feb 2020) by 1.0 N= 1993 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (2W) 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

datatype: realarraytype
iridl:hasSemantics: iridl:SeaSurfaceTemperature
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: degree_Celsius
standard units*: degree_Kelvin
history: Version 4 based on Version 3b

References

Huang_etal2015

Liu_etal2015

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

Data Views

	T	X	Y	zlev
$partialdiff sub Y$ $integral dY$ [ NOAA NCDC ERSST version4 sst ] 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