served from 213.154.77.59
∫dY ∂T ∫dY [ NOAA NCDC ERSST version4 sst anomalies ] climatology: ∂T Extended reconstructed sea surface temperature data
sst sst sst int_dY partial_T int_dY ∂T Extended reconstructed sea surface temperature 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 (time)
- grid: /T (months since 01-Jan) periodic (Feb) to (Jan) by 1.0 N= 12 pts :grid
- longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 2.0 N= 91 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 0.00365540903744051 degree_Kelvin radian2 north year-1
- history
- $integral dY$ $partialdiff sub T$ $integral dY$ [ NOAA NCDC ERSST version4 sst anomalies ] climatology
- Averaged over T2[16 Jan 1854 - 15 Jan 1855, 16 Jan 2019 - 15 Jan 2020] minimum 0.0% data present
Averaged over T2[Feb 1854 - Jan 1855, Feb 2019 - Jan 2020] minimum 0.0% data present
- Averaged over T2[16 Jan 1854 - 15 Jan 1855, 16 Jan 2019 - 15 Jan 2020] minimum 0.0% data present
References
Redland error: Cannot add statement to modelLast updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Thu, 02 Apr 2020 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 | |
 $integral dY$ $partialdiff sub T$ $integral dY$ [ 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