served from 197.155.140.164
root mean sq anom ∂T ∫dY [ NOAA NCDC ERSST version5 sst ] : ∂T Extended reconstructed sea surface temperature data
sst int_dY partial_T partial_T 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 (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:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 0.20943951023932 degree_Kelvin radian north year-1
- history
- Averaged over T[16 Jan 1854 - 15 Feb 1854, 16 Jan 2023 - 15 Feb 2023] minimum 0.0% data present
References
Huang_etal2017Last updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | zlev | |
 root mean sq anom $partialdiff sub T$ $integral dY$ [ NOAA NCDC ERSST version5 sst ] 0.0 meters[ X Y zlev |] | 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 X Y
- Differentiate along X Y
- Take differences along 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