data: detrended-bfl $integral dX$ $integral dT$ $partialdiff sub Y$ [ NOAA NCDC ERSST version3b anom ]

detrended-bfl ∫dX ∫dT ∂_Y [ NOAA NCDC ERSST version3b anom ] : ∂_Y Extended reconstructed SST anomalies data

anom partial_Y int_dT int_dX ∂_Y Extended reconstructed SST anomalies from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1854) to (0000 1 Dec 2025) by 1.0 N= 2064 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (1W) to (1W) by 2.0 N= 181 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
units: 0.0833333333333333 degree_Kelvin year
history: Version 3b

References

Smith_etal2008

Xue_etal2003

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
detrended-bfl $integral dX$ $integral dT$ $partialdiff sub Y$ [ NOAA NCDC ERSST version3b 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