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min root mean sq ∂Y [ NOAA NCDC ERSST version3b sst ] : ∂Y Extended reconstructed sea surface temperature data
sst partial_Y partial_Y ∂Y Extended reconstructed sea surface temperature from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b. isIndependent Variables (Grids)
- 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
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- root mean sq $partialdiff sub Y$ [ NOAA NCDC ERSST version3b sst ]
- Version 3b
Averaged over X[1W, 1W] T[Jan 1854, May 2015] minimum 0.0% data present
min root mean sq $partialdiff sub Y$ [ NOAA NCDC ERSST version3b sst ]- min over Y[87S, 87N]
- 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
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