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root mean sq anom [ NOAA NCDC ERSST version3b sst climatology ]: Extended reconstructed sea surface temperature data
sst 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)
- Longitude (longitude)
- grid: /X (degree_east) periodic (1E) to (1W) by 2.0 N= 180 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
- NOAA NCDC ERSST version3b sst climatology
- Version 3b
Averaged over T2[1854, 2014] minimum 0.0% data present
root mean sq anom [ NOAA NCDC ERSST version3b sst climatology ]- Averaged over T[Jan, Dec] 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
colors with land
contours with land
colors with coasts| X | Y | zlev | |
 grid: /X (degree_east) periodic (1E) to (1W) by 2.0 N= 180 pts :grid | M | ||
|---|---|---|---|
| grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid | M | ||
 root mean sq anom [ NOAA NCDC ERSST version3b sst climatology ] 0.0 meters[ X Y zlev |] | 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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units