data: $partialdiff sub Y$ $integral dT$ [ NOAA NCDC ERSST version5 sst anomalies ]

∂_Y ∫dT [ NOAA NCDC ERSST version5 sst anomalies ] : ∂_Y Extended reconstructed sea surface temperature data

sst sst sst int_dT ∂_Y 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) (360) ordered [ (2354 30 Jun 1852) (2354 29 Aug 1852) (2354 30 Oct 1852) ... (0002 13 Dec 2022)] N= 1219 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 (87S) to (87N) by 2.0 N= 88 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.0
iridl:hasSemantics: iridl:SeaSurfaceTemperature
missing_value: NaN
pointwidth: 1.0
standard_name: sea_surface_temperature
units: 4950355.34993031 degree_Kelvin radian^-1 north second
history: Averaged over T2[1854, 2021] minimum 0.0% data present

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 ]
$partialdiff sub Y$ $integral dT$ [ NOAA NCDC ERSST version5 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