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root mean sq [ NOAA NCDC ERSST version5 sst climatology ]: Extended reconstructed sea surface temperature data
sst sst Extended reconstructed sea surface temperature from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 0000-01-01) periodic (Jan) to (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
- Conventions
- COARDS
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- Celsius_scale
- standard units*
- degree_Kelvin above 273.15
- history
- root mean sq [ NOAA NCDC ERSST version5 sst climatology ]
- Averaged over T2[1854, 2018] minimum 0.0% data present
Averaged over X[1W, 1W] minimum 0.0% data present
- Averaged over T2[1854, 2018] minimum 0.0% data present
References
Huang_etal2017Last updated: Wed, 05 Feb 2020 11:55:24 GMT
Expires: Tue, 02 Apr 2019 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | zlev | |
 grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid | M | ||
|---|---|---|---|
| grid: /T (months since 0000-01-01) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | M | ||
 root mean sq [ NOAA NCDC ERSST version5 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