data: mean $integral dT$ [ NOAA NCDC ERSST version4 anom ]

mean ∫dT [ NOAA NCDC ERSST version4 anom ] : Extended reconstructed SST anomalies data

anom int_dT 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)

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

bufferwordsize: 8
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: 0.0833333333333333 degree_Kelvin year
history: Averaged over X[1W, 1W] T[0000 1 Jan 1854, 0000 1 Nov 2017] minimum 0.0% data present

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

	Y	zlev
grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid	M
mean $integral dT$ [ NOAA NCDC ERSST version4 anom ] 0.0 meters[ Y 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 Y
Differentiate along Y
Take differences along Y