data: mean $partialdiff sub X$ [ NOAA NCDC ERSST version3b anom ]

mean ∂_X [ NOAA NCDC ERSST version3b anom ] : ∂_X Extended reconstructed SST anomalies data

anom partial_X ∂_X Extended reconstructed SST anomalies from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (1W) to (3W) by 2.0 N= 180 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

iridl:hasSemantics

iridl:SeaSurfaceTemperatureAnomaly

missing_value

NaN

pointwidth

1.0

standard_name

sea_surface_temperature

units

57.2957795130823 degree_Kelvin radian^-1 east

history

mean $partialdiff sub X$ [ NOAA NCDC ERSST version3b anom ]

Version 3b
Averaged over Y[89S, 89N] T[Jan 1854, Feb 2020] minimum 0.0% data present

References

Smith_etal2008

Xue_etal2003

Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Expires: Thu, 02 Apr 2020 00:00:00 GMT

Data Views

	X	zlev
NOAA NCDC ERSST version3b[sst IOD anom ]
grid: /X (degree_east) periodic (1W) to (3W) by 2.0 N= 180 pts :grid	M
grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid
grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Feb 2020) by 1.0 N= 1994 pts :grid
mean $partialdiff sub X$ [ NOAA NCDC ERSST version3b anom ] 0.0 meters[ X zlev \|]	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
Differentiate along X
Take differences along X