served from 197.155.140.164
mean ∂X detrended-bfl [ NOAA NCDC ERSST version5 sst ] : ∂X Extended reconstructed sea surface temperature data
sst adif partial_X ∂X Extended reconstructed sea surface temperature from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Feb 2023) by 1.0 N= 2030 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
- 57.2957795130823 degree_Kelvin radian-1 east
- history
- Averaged over X[2W, 2W] minimum 0.0% data present
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| T | Y | zlev | |
 NOAA NCDC ERSST version5[anom
sst
] | |||
| grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid | |||
| grid: /Y (degree_north) ordered (88S) to (88N) by 2.0 N= 89 pts :grid | M | ||
| grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Feb 2023) by 1.0 N= 2030 pts :grid | M | ||
 mean $partialdiff sub X$ detrended-bfl [ NOAA NCDC ERSST version5 sst ] 0.0 meters[ Y zlev | T] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units