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root mean sq anom ∫dY [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta ] : Sea Surface Temperature Anomaly data
monthly ssta int_dY 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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 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
- 0.0174532925199433 degree_Kelvin radian north
- history
- Averaged over X[0.5E, 0.5W] minimum 0.0% data present
References
Reynolds_etal2002Last 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 | Y | |
 root mean sq anom $integral dY$ [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 monthly ssta ] [ Y | T] | M | M |
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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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units