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root mean sq ∂S [ ICPAC Forecasts CPT Rainfallv2 Seasonal History final_season ] : ∂S data
final_season partial_S ∂S from ICPAC Forecasts CPT Rainfallv2 Seasonal History: Predictand, Hindcast and Skill. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- 12 year-1
- history
- Averaged over S[Jan 1982, Nov 2016]
Last updated: Wed, 12 May 2021 17:45:02 GMT
Data Views
 root mean sq $partialdiff sub S$ [ ICPAC Forecasts CPT Rainfallv2 Seasonal History final_season ] [ |] |
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