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root mean sq mean mean [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta ] : Sea Surface Temperature Anomaly data
monthly ssta ssta ssta Sea Surface Temperature Anomaly from NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2: SST fields updated from version 1 with more COADS data, new sea-ice to SST conversion algorithm, and 1971-2000 climatology. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.90002
- maxncolor
- 254
- missing_value
- NaN
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- mean mean [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta ]
- Averaged over Y[90S, 90N] minimum 0.0% data present
Averaged over T[Nov 1981, Dec 2010] minimum 0.0% data present
root mean sq mean mean [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta ]- Averaged over X[0, 0] minimum 0.0% data present
- Averaged over Y[90S, 90N] minimum 0.0% data present
References
Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625.
Last updated: Tue, 15 Aug 2017 14:04:01 GMT
Expires: Mon, 07 Feb 2011 00:00:00 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