root mean sq anom [ ∂Y detrended-bfl ( NOAA NCDC ERSST version4 anom ) anomalies ]: ∂Y Extended reconstructed SST anomalies data
anom anom adif partial_Y partial_Y
∂Y 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
- grid: /T (days since 1960-01-01) (360) ordered [ (2354 30 Jun 1852 - 2354 1 Jul 1852) (2354 29 Aug 1852 - 2354 30 Aug 1852) (2354 30 Oct 1852 - 2354 1 Nov 1852) ... (0002 1 Jan 2021 - 0002 2 Jan 2021)] N= 1204 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (87S) to (87N) by 2.0 N= 88 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
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- root mean sq anom [ $partialdiff sub Y$ detrended-bfl ( NOAA NCDC ERSST version4 anom ) anomalies ]
- Averaged over T2[1854, 2019] minimum 0.0% data present
Averaged over X[0, 2W] minimum 0.0% data present
References
Redland error: BDB V4.1+ open of '/ingrid-tmp/referencelist-sp2o.db' failed - No such file or directory
Last updated: Thu, 26 Oct 2023 14:58:08 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