served from 197.155.140.164
∫dT ∂T ∂Y [ NOAA NCDC ERSST version5 anom ] : ∂T ∂Y Extended reconstructed SST anomalies data
anom anom partial_Y partial_T partial_T partial_T ∂T ∂Y Extended reconstructed SST anomalies from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1200 31 Dec 1853 - 1200 31 Jan 1854) (1200 31 Jan 1854 - 2400 1 Mar 1854) (0000 2 Mar 1854 - 1200 31 Mar 1854) ... (1200 31 Jan 2023 - 1200 3 Mar 2023)] N= 2030 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1E) to (1W) by 2.0 N= 180 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (86S) to (86N) by 2.0 N= 87 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperatureAnomaly
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 59404264.1991638 degree_Kelvin radian-1 north second year-1
References
Huang, B., P. W. Thorne, V. F. Banzon, T. Boyer, G. Chepurin, J. H. Lawrimore, M. J. Menne, T. M. Smith, R. S. Vose, and H.-M. Zhang, 2017: Extended Reconstructed Sea Surface Temperature, version 5 (ERSSTv5): Upgrades, validations, and intercomparisons. J. Climate, 30, 8179-8205, doi:10.1175/JCLI-D-16-0836.1.
Last 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| T | X | Y | zlev | |
 $integral dT$ $partialdiff sub T$ $partialdiff sub Y$ [ NOAA NCDC ERSST version5 anom ] 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