served from digilib.icpac.net
mean ∫dS max [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ] : Pearson correlation skill values data
PearsonR max int_dS Pearson correlation skill values from ICPAC Forecasts CPT Rainfall Seasonal History: Predictand, Hindcast and Skill. isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- correlationcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- months
- standard units*
- 0.0833333333333333 year
- history
- mean $integral dS$ max [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ]
- max over X[22E, 51.25E] Y[11.5S, 23N]
Averaged over S[0000 16 Dec 1959, 0000 16 Dec 1960] minimum 0.0% data present
- max over X[22E, 51.25E] Y[11.5S, 23N]
Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Data Views
| L | |
 mean $integral dS$ max [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ] 2.5 months[ | L] | 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
- 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