root mean sq anom [ ∫dT ∂Y ( NOAA NCDC ERSST version5 anom ) anomalies ]: ∂Y Extended reconstructed SST anomalies data
anom partial_Y int_dT int_dT
∂Y Extended reconstructed SST anomalies from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..
is
Independent Variables (Grids)
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperatureAnomaly
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 4.77464829275686 degree_Kelvin radian-1 north year
- history
- root mean sq anom [ $integral dT$ $partialdiff sub Y$ ( NOAA NCDC ERSST version5 anom ) anomalies ]
- Averaged over T2[16 Dec 1853 - 15 Dec 1854, 16 Dec 2021 - 15 Dec 2022] minimum 0.0% data present
Averaged over X[0, 2W] Y[87S, 87N] T[0000 1 Jan 1854, 0000 1 Mar 2023] minimum 0.0% data present
References
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PANIC: fatal region error detected; run recovery
Huang_etal2017
Last updated: Mon, 27 Mar 2023 13:29:42 GMT
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
- Differentiate along
- Take differences along
Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units