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

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

anom partial_Y ∂_X ∂_Y Extended reconstructed SST anomalies from NOAA NCDC ERSST version4: In situ data: ICOADS2.5 before 2007, NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2015 and NCEP ice after 2015..

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Oct 2017) by 1.0 N= 1966 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (1W) to (3W) 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
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperatureAnomaly
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 3282.80635001174 degree_Kelvin radian^-2 north

References

Huang_etal2015

Liu_etal2015

Last updated: Wed, 20 Mar 2019 09:34:10 GMT
Expires: Tue, 02 Oct 2018 00:00:00 GMT

Data Views

	T	X	Y	zlev
$partialdiff sub X$ $partialdiff sub Y$ [ 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