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detrended-bfl root mean sq [ NOAA NCDC ERSST version3b sst ] : Extended reconstructed sea surface temperature data
sst sst Extended reconstructed sea surface temperature from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1854) to (May 2015) by 1.0 N= 1937 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- detrended-bfl root mean sq [ NOAA NCDC ERSST version3b sst ]
- Version 3b
Averaged over X[1W, 1W] minimum 0.0% data present
- Version 3b
References
Smith, T.M., R.W. Reynolds, Thomas C. Peterson, and Jay Lawrimore, 2008: Improvements to NOAA's Historical Merged Land-Ocean Surface Temperature Analysis (1880-2006). Journal of Climate, 21, 2283-2296.Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871-2000. J. Climate, 16, 1601-1612.
Last updated: Thu, 11 Jun 2015 13:35:46 GMT
Expires: Thu, 02 Jul 2015 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | zlev | |
 grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid | M | ||
|---|---|---|---|
| grid: /T (months since 1960-01-01) ordered (Jan 1854) to (May 2015) by 1.0 N= 1937 pts :grid | M | ||
| grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid | M | ||
| grid: /T (months since 1960-01-01) ordered (Jan 1854) to (May 2015) by 1.0 N= 1937 pts :grid | M | ||
 detrended-bfl root mean sq [ NOAA NCDC ERSST version3b sst ] 0.0 meters[ Y zlev | T] | M | 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 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