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root mean sq [ ∫dT ( NOAA NCDC ERSST version4 sst ) climatology ]: Extended reconstructed sea surface temperature data
sst int_dT int_dT Extended reconstructed sea surface temperature from NOAA NCDC ERSST version4: In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 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
- standard_name
- sea_surface_temperature
- units
- 0.0833333333333333 ( degree_Kelvin above 273.15 ) year
- history
- $integral dT$ [ NOAA NCDC ERSST version4 sst ] climatology
- Version 4 based on Version 3b
Averaged over T2[16 Dec 1853 - 15 Dec 1854, 16 Dec 2018 - 15 Dec 2019] minimum 0.0% data present
root mean sq [ $integral dT$ ( NOAA NCDC ERSST version4 sst ) climatology ]- Averaged over X[1W, 1W] minimum 0.0% data present
- Version 4 based on Version 3b
References
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Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | zlev | |
 root mean sq [ $integral dT$ ( NOAA NCDC ERSST version4 sst ) climatology ] 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