data: detrended-bfl [ $partialdiff sub X$ $integral dX$ ( NOAA NCDC ERSST version3b anom ) climatology ]

detrended-bfl [ ∂_X ∫dX ( NOAA NCDC ERSST version3b anom ) climatology ]: ∂_X Extended reconstructed SST anomalies data

anom int_dX partial_X partial_X adif ∂_X 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 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (1E) to (3W) by 2.0 N= 179 pts :grid
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

CE

null

CS

null

datatype

realarraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperatureAnomaly

missing_value

NaN

pointwidth

1.0

units

degree_Celsius

standard units*

degree_Kelvin

history

detrended-bfl [ $partialdiff sub X$ $integral dX$ ( NOAA NCDC ERSST version3b anom ) climatology ]

Version 3b
Averaged over T2[1854, 2025] minimum 0.0% data present

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 [ $partialdiff sub X$ $integral dX$ ( NOAA NCDC ERSST version3b anom ) climatology ] 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