served from 197.155.140.164
root mean sq ∂T [ ∂X ( NOAA NCDC ERSST version5 anom ) climatology ] : ∂T ∂X Extended reconstructed SST anomalies data
anom partial_X partial_X partial_X partial_T ∂T ∂X Extended reconstructed SST anomalies from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5.. isIndependent 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
- 687.549354156988 degree_Kelvin radian-1 east year-1
- history
- root mean sq $partialdiff sub T$ [ $partialdiff sub X$ ( NOAA NCDC ERSST version5 anom ) climatology ]
- Averaged over T2[16 Jan 1854 - 15 Jan 1855, 16 Jan 2022 - 15 Jan 2023] minimum 0.0% data present
Averaged over X[2W, 2W] Y[89S, 89N] T[Jan, Dec] minimum 0.0% data present
- Averaged over T2[16 Jan 1854 - 15 Jan 1855, 16 Jan 2022 - 15 Jan 2023] minimum 0.0% data present
References
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Data Views
| zlev | |
 root mean sq $partialdiff sub T$ [ $partialdiff sub X$ ( NOAA NCDC ERSST version5 anom ) climatology ] 0.0 meters[ zlev |] | 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
- Differentiate along
- Take differences along
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