data: detrended-bfl detrended-bfl [ $integral dY$ ( NOAA NCDC ERSST version4 sst ) anomalies ]

detrended-bfl detrended-bfl [ ∫dY ( NOAA NCDC ERSST version4 sst ) anomalies ] : Extended reconstructed sea surface temperature data

sst int_dY int_dY adif Extended reconstructed sea surface temperature 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 (Feb 2020) by 1.0 N= 1994 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 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:SeaSurfaceTemperature
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
history: Averaged over T2[1854, 2019] minimum 0.0% data present

References

Huang_etal2015

Liu_etal2015

Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Thu, 02 Apr 2020 00:00:00 GMT

Data Views

	T	X	Y	zlev
NOAA NCDC ERSST version4[anom sst ]
detrended-bfl detrended-bfl [ $integral dY$ ( NOAA NCDC ERSST version4 sst ) anomalies ] 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