root mean sq anom ∫dX [ NOAA NCDC ERSST version3b anom ] : Extended reconstructed SST anomalies data
anom anom anom int_dX Extended reconstructed SST anomalies from NOAA NCDC ERSST version3b: ERSST.v3b: Extended Reconstructed Sea Surface Temperature Dataset, Verson 3b.
Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Jan 1854 - 2400 14 Feb 1854) (0000 15 Feb 1854 - 1200 16 Mar 1854) (1200 16 Mar 1854 - 2400 15 Apr 1854) ... (1200 16 Jan 2020 - 1200 15 Feb 2020)] N= 1993 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
- 0.0174532925199433 degree_Kelvin radian east
- history
- root mean sq anom $integral dX$ [ NOAA NCDC ERSST version3b anom ]
- Version 3b
Averaged over X[1W, 1W] minimum 0.0% data present
References
Smith_etal2008
Xue_etal2003
Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Expires: Thu, 02 Apr 2020 00:00:00 GMT
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
Average over
Y
T
|
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