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∫dY ∫dX [ NOAA NCDC ERSST version4 sst anomalies ] climatology: Extended reconstructed sea surface temperature data
sst sst sst int_dX int_dY Extended reconstructed sea surface temperature from NOAA NCDC ERSST version4: In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- longitude (longitude)
- grid: /X (degree_east) ordered (0) to (0) by 2.0 N= 181 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 0.000304617419786709 degree_Kelvin radian2 north
- history
- NOAA NCDC ERSST version4 sst
Version 4 based on Version 3b
- NOAA NCDC ERSST version4 sst climatology
- Version 4 based on Version 3b
Averaged over T2[1854, 2019] minimum 0.0% data present
- Version 4 based on Version 3b
- Averaged over T2[1854, 2019] minimum 0.0% data present
- NOAA NCDC ERSST version4 sst
References
Huang_etal2015Liu_etal2015
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | zlev | |
 $integral dY$ $integral dX$ [ NOAA NCDC ERSST version4 sst anomalies ] climatology 0.0 meters[ X Y zlev T |] | M | 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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units