data: $integral dT$ $integral dX$ detrended-bfl [ NOAA NCDC ERSST version5 sst ]

∫dT ∫dX detrended-bfl [ NOAA NCDC ERSST version5 sst ] : Extended reconstructed sea surface temperature data

sst sst adif int_dX Extended reconstructed sea surface temperature from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1200 16 Dec 1853 - 1200 16 Jan 1854) (1200 16 Jan 1854 - 2400 14 Feb 1854) (0000 15 Feb 1854 - 1200 16 Mar 1854) ... (1200 16 Jan 2022 - 1200 16 Feb 2022)] N= 2018 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 (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:SeaSurfaceTemperature
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 1507.9644737231 degree_Kelvin radian east second

References

Huang_etal2017

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

Data Views

	T	X	Y	zlev
NOAA NCDC ERSST version5[sst anom ]
$integral dT$ $integral dX$ detrended-bfl [ NOAA NCDC ERSST version5 sst ] 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