root mean sq anom [ ∫dX ( NOAA NCDC ERSST version5 anom ) anomalies ]: Extended reconstructed SST anomalies data
anom int_dX int_dX int_dX Extended reconstructed SST anomalies from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (1W) to (1W) by 2.0 N= 181 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
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperatureAnomaly
- maxncolor
- 254
- 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 version5 anom ) anomalies ]
- Averaged over T2[16 Jan 1854 - 15 Jan 1855, 16 Jan 2024 - 15 Jan 2025] minimum 0.0% data present
Averaged over T[16 Jan 1854 - 15 Feb 1854, 16 Jun 2025 - 15 Jul 2025] minimum 0.0% data present
References
Huang_etal2017
Last updated: Sun, 03 Aug 2025 17:08:48 GMT
Expires: Tue, 02 Sep 2025 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 X
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
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