served from 45.183.221.150
∫dY [ NOAA NCDC ERSST version5 sst ]: Extended reconstructed sea surface temperature data
sst 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 2019) by 1.0 N= 1982 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 (89S) to (89N) by 2.0 N= 90 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north
References
Huang_etal2017Last updated: Wed, 05 Feb 2020 11:55:24 GMT
Expires: Tue, 02 Apr 2019 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 | |
 grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid | M | |||
|---|---|---|---|---|
| grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid | M | |||
| grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Feb 2019) by 1.0 N= 1982 pts :grid | M | |||
| grid: /X (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid | M | |||
| grid: /Y (degree_north) ordered (89S) to (89N) by 2.0 N= 90 pts :grid | M | |||
| grid: /T (months since 1960-01-01) ordered (Jan 1854) to (Feb 2019) by 1.0 N= 1982 pts :grid | M | |||
 $integral dY$ [ NOAA NCDC ERSST version5 sst ] 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