mean ∂T [ NOAA NCDC ERSST version5 sst anomalies ] : ∂T Extended reconstructed sea surface temperature data
sst sst sst sst partial_T
∂T Extended reconstructed sea surface temperature from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..
Independent Variables (Grids)
- longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 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:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 1.15740740740741×10-05 degree_Kelvin second-1
- history
- mean $partialdiff sub T$ [ NOAA NCDC ERSST version5 sst anomalies ]
- Averaged over T2[1854, 2022] minimum 0.0% data present
Averaged over T[2354 30 Jul 1852 - 2354 30 Sep 1852, 0002 2 Dec 2023] minimum 0.0% data present
References
Huang_etal2017
Last updated: Mon, 27 Mar 2023 13:29:42 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