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root mean sq anom [ ∫dT ( ∂T T ) climatology ]: ∂T Time data
root mean sq anom [ ∫dT ( ∂T T ) climatology ]. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- gridid
- 183346024
- scale_max
- null
- scale_min
- null
- units
- days
- standard units*
- 86400 second
- history
- root mean sq anom [ $integral dT$ ( $partialdiff sub T$ T ) climatology ]
- Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023]
Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan]
- Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023]
Last updated: Thu, 16 May 2024 08:15:58 GMT
Expires: Sat, 11 May 2024 00:00:00 GMT
Data Views
| T | X | Y | |
 ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged[ X Y | T] | M | M | M |
|---|---|---|---|
 root mean sq anom [ $integral dT$ ( $partialdiff sub T$ T ) climatology ][ |] |
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
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