data: detrended-bfl [ $integral dX$ ( NOAA NCDC ERSST version5 sst ) anomalies ] climatology

detrended-bfl [ ∫dX ( NOAA NCDC ERSST version5 sst ) anomalies ] climatology: Extended reconstructed sea surface temperature data

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

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 (0) to (2W) by 2.0 N= 180 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

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

0.0174532925199433 degree_Kelvin radian east

history

detrended-bfl [ $integral dX$ ( NOAA NCDC ERSST version5 sst ) anomalies ] climatology

Averaged over T2[1854, 2022] minimum 0.0% data present
Averaged over T2[1854, 2022] minimum 0.0% data present

References

Huang_etal2017

Last updated: Mon, 27 Mar 2023 13:29:42 GMT

Data Views

	T	X	Y	zlev
detrended-bfl [ $integral dX$ ( NOAA NCDC ERSST version5 sst ) anomalies ] 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