root mean sq anom detrended-bfl ∂T ∫dT [ NiMet IOD C1991-2020 iod ] : ∂T Indian Ocean Dipole 1991-2020 data
root mean sq anom detrended-bfl
∂T ∫dT [ NiMet IOD C1991-2020 iod ] .
is
Independent Variables (Grids)
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- mean [ NOAA NCDC ERSST version4 sst anomalies ]
- NOAA NCDC ERSST version4 sst
Version 4 based on Version 3b
- NOAA NCDC ERSST version4 sst climatology
- Version 4 based on Version 3b
Averaged over T2[1991, 2019] minimum 0.0% data present
Averaged over X[49E, 71E] Y[11S, 11N] minimum 0.0% data present
- mean [ NOAA NCDC ERSST version4 sst anomalies ]
- NOAA NCDC ERSST version4 sst
Version 4 based on Version 3b
- NOAA NCDC ERSST version4 sst climatology
- Version 4 based on Version 3b
Averaged over T2[1991, 2019] minimum 0.0% data present
Averaged over X[89E, 111E] Y[11S, 1N] minimum 0.0% data present
root mean sq anom detrended-bfl $partialdiff sub T$ $integral dT$ [ NiMet IOD C1991-2020 iod ] - Averaged over T[Jan 1991, Feb 2020] minimum 0.0% data present
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 00:00:00 GMT
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
- Differentiate along
- Take differences along
Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units