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root mean sq ∂X ∫dY [ KAPLAN EXTENDED v2 ssta ] : ∂X SST anomaly\0~ data
ssta int_dY partial_X ∂X SST anomaly\0~ from KAPLAN EXTENDED v2: Statistically homogenous concatenation of Kaplan et al [1998] OS SST and Reynolds and Smith [1994] NCEP OI analyses; the latter gets degraded to the resolution of the former\0 àÝX . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- root mean sq $partialdiff sub X$ $integral dY$ [ KAPLAN EXTENDED v2 ssta ]
- OS extended by NCEP\0$G
Averaged over X[22.5E, 22.5E] Y[90S, 90N] T[Jan 1856, Jul 2014] minimum 0.0% data present
- OS extended by NCEP\0$G
References
Kaplan, A., M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan, Analyses of global sea surface temperature 1856-1991, Journal of Geophysical Research, 103, 18,567-18,589, 1998R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
Last updated: Tue, 29 Mar 2016 08:02:46 GMT
Data Views
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