data: root mean sq [ NOAA NCDC ERSST version3b anom climatology ]

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

anom anom 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
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

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperatureAnomaly

missing_value

NaN

pointwidth

1.0

units

degree_Celsius

standard units*

degree_Kelvin

history

NOAA NCDC ERSST version3b anom climatology

Version 3b
Averaged over T2[1854, 2016] minimum 0.0% data present

root mean sq [ NOAA NCDC ERSST version3b anom climatology ]

Averaged over X[1W, 1W] minimum 0.0% data present

References

Smith_etal2008

Xue_etal2003

Last updated: Wed, 20 Mar 2019 09:34:10 GMT
Expires: Tue, 02 Oct 2018 00:00:00 GMT

Data Views

	T	Y	zlev
root mean sq [ NOAA NCDC ERSST version3b anom climatology ] 0.0 meters[ Y zlev T \|]	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 Y T
Differentiate along Y T
Take differences along Y T

Average over Y T | Y T |
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |

Note on units