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detrended-bfl [ ∂X ∂X ( NOAA NCDC ERSST version5 anom ) anomalies ] climatology: ∂X ∂X Extended reconstructed SST anomalies data
anom partial_X partial_X partial_X adif ∂X ∂X Extended reconstructed SST anomalies from NOAA NCDC ERSST version5: ERSST.v5: Extended Reconstructed Sea Surface Temperature Dataset, Version 5..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (2W) to (4W) 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
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- iridl:hasSemantics
- iridl:SeaSurfaceTemperatureAnomaly
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- 3282.80635001174 degree_Kelvin radian-2 east
- history
- detrended-bfl [ $partialdiff sub X$ $partialdiff sub X$ ( NOAA NCDC ERSST version5 anom ) anomalies ] climatology
- Averaged over T2[1854, 2022] minimum 0.0% data present
Averaged over T2[1854, 2022] minimum 0.0% data present
- Averaged over T2[1854, 2022] minimum 0.0% data present
References
Huang_etal2017Last 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 | |
 detrended-bfl [ $partialdiff sub X$ $partialdiff sub X$ ( NOAA NCDC ERSST version5 anom ) anomalies ] climatology 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