data: $partialdiff sub T$ detrended-bfl [ NOAA NCDC ERSST version4 sst climatology ]

∂_T detrended-bfl [ NOAA NCDC ERSST version4 sst climatology ] : ∂_T Extended reconstructed sea surface temperature data

sst sst adif partial_T ∂_T 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 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 Dec) by 1.0 N= 12 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: 12 degree_Kelvin year^-1
history: Averaged over T2[1854, 2019] minimum 0.0% data present

References

/ingrid-tmp/referencelist-po2s.db: page 92: reference count overflow PANIC: Invalid argument Redland error: Cannot add statement to model PANIC: fatal region error detected; run recovery

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
$partialdiff sub T$ detrended-bfl [ NOAA NCDC ERSST version4 sst climatology ] 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