served from data-library.gov.ls
∂T [ NOAA NCDC ERSST version5 sst ] anomalies: ∂T Extended reconstructed sea surface temperature data
sst sst sst 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)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Feb 1854) to (Dec 2021) by 1.0 N= 2015 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 (88S) to (88N) by 2.0 N= 89 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
- 12 degree_Kelvin year-1
- history
- Averaged over T2[Feb 1854 - Jan 1855, Feb 2020 - Jan 2021] minimum 0.0% data present
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Huang_etal2017Last updated: Wed, 09 Mar 2022 20:30:18 GMT
Expires: Wed, 02 Mar 2022 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 | |
 NOAA NCDC ERSST version5[sst
anom
] | ||||
| grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid | O=1.0 | |||
|---|---|---|---|---|
| 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 (Jan 2022) by 1.0 N= 2017 pts :grid | S | |||
 $partialdiff sub T$ [ NOAA NCDC ERSST version5 sst ] anomalies 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