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root mean sq anom [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta anomalies ]: Sea Surface Temperature Anomaly data
monthly 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.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Nov 1981) to (Dec 2010) by 1.0 N= 350 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
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
- root mean sq anom [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta anomalies ]
- Averaged over T2[Nov 1981 - Oct 1982, Nov 2009 - Oct 2010] minimum 0.0% data present
Averaged over Y[89.5S, 89.5N] minimum 0.0% data present
- Averaged over T2[Nov 1981 - Oct 1982, Nov 2009 - Oct 2010] 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
Views
data as colors
data as contours| T | X | |
 grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid | M | |
|---|---|---|
| grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid | ||
| grid: /T (months since 1960-01-01) ordered (Nov 1981) to (Dec 2010) by 1.0 N= 350 pts :grid | M | |
 root mean sq anom [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta anomalies ][ X | T] | 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 X T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units