data: root mean sq anom detrended-bfl $integral dY$ [ NOAA NCDC ERSST version5 sst ]

root mean sq anom detrended-bfl ∫dY [ NOAA NCDC ERSST version5 sst ] : Extended reconstructed sea surface temperature data

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

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 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: 0.0174532925199433 degree_Kelvin radian north
history: Averaged over X[0, 2W] T[16 Jan 1854 - 15 Feb 1854, 16 Jan 2023 - 15 Feb 2023] minimum 0.0% data present

References

Huang_etal2017

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

Data Views

	Y	zlev
root mean sq anom detrended-bfl $integral dY$ [ NOAA NCDC ERSST version5 sst ] 0.0 meters[ Y zlev \|]	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 Y
Differentiate along Y
Take differences along Y