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root mean sq detrended-bfl [ NOAA NCDC ERSST version4 anom ] : Extended reconstructed SST anomalies data
anom adif adif Extended reconstructed SST anomalies from NOAA NCDC ERSST version4: In situ data: ICOADS2.5 before 2007, NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2015 and NCEP ice after 2015..Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (Jan 1854) (Feb 1854) (Mar 1854) ... (Oct 2017)] N= 1966 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
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperatureAnomaly
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- Averaged over X[1W, 1W] minimum 0.0% data present
References
Huang_etal2015Liu_etal2015
Last updated: Wed, 20 Mar 2019 09:34:10 GMT
Expires: Tue, 02 Oct 2018 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | zlev | |
 root mean sq detrended-bfl [ NOAA NCDC ERSST version4 anom ] 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