data: root mean sq anom [ $integral dX$ ( NOAA NCDC ERSST version3b anom ) climatology ]

root mean sq anom [ ∫dX ( NOAA NCDC ERSST version3b anom ) climatology ]: Extended reconstructed SST anomalies data

anom int_dX int_dX Extended reconstructed SST anomalies from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.

Independent Variables (Grids)

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

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperatureAnomaly

missing_value

NaN

pointwidth

1.0

units

0.0174532925199433 degree_Kelvin radian east

history

$integral dX$ [ NOAA NCDC ERSST version3b anom ] climatology

Version 3b
Averaged over T2[1854, 2024] minimum 0.0% data present

root mean sq anom [ $integral dX$ ( NOAA NCDC ERSST version3b anom ) climatology ]

Averaged over X[1W, 1W] Y[88S, 88N] minimum 0.0% data present

References

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Xue_etal2003

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

Data Views

	T	zlev
root mean sq anom [ $integral dX$ ( NOAA NCDC ERSST version3b anom ) climatology ] 0.0 meters[ zlev T \|]	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 T
Differentiate along T
Take differences along T