served from 213.154.77.59
mean ∂Y [ NOAA NCDC ERSST version4 sst climatology ] : ∂Y Extended reconstructed sea surface temperature data
sst sst sst partial_Y ∂Y 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 (Jan) to (Dec) by 1.0 N= 12 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
- 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 north
- history
- mean $partialdiff sub Y$ [ NOAA NCDC ERSST version4 sst climatology ]
- Averaged over T2[1854, 2019] minimum 0.0% data present
Averaged over X[1W, 1W] minimum 0.0% data present
- Averaged over T2[1854, 2019] minimum 0.0% data present
References
Redland error: BDB V4.1+ open of '/ingrid-tmp/referencelist-sp2o.db' failed - Permission deniedLast 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
line plots
color bars| T | Y | zlev | |
 NOAA NCDC ERSST version4[anom
sst
] | |||
 mean $partialdiff sub Y$ [ NOAA NCDC ERSST version4 sst climatology ] 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