data: $partialdiff sub Y$ [ $integral dX$ ( NOAA NCDC ERSST version4 anom ) climatology ]

∂_Y [ ∫dX ( NOAA NCDC ERSST version4 anom ) climatology ]: ∂_Y Extended reconstructed SST anomalies data

anom int_dX int_dX int_dX ∂_Y Extended reconstructed SST anomalies from NOAA NCDC ERSST version4: In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010..

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 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 (86S) to (86N) by 2.0 N= 87 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

CE

null

CS

null

datatype

realarraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperatureAnomaly

missing_value

NaN

pointwidth

1.0

standard_name

sea_surface_temperature

units

degree_Celsius

standard units*

degree_Kelvin

history

$partialdiff sub Y$ [ $integral dX$ ( NOAA NCDC ERSST version4 anom ) climatology ]

Version 4 based on Version 3b
Averaged over T2[1854, 2019] minimum 0.0% data present

References

Huang_etal2015

Liu_etal2015

Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 00:00:00 GMT

Data Views

	T	X	Y	zlev
$partialdiff sub Y$ [ $integral dX$ ( NOAA NCDC ERSST version4 anom ) 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