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max [ IRI CPT JAS WDF History Input_WDF ]: Wet day frequency input observations data
Input_WDF Wet day frequency input observations from IRI CPT JAS WDF History: Predictand, Hindcast and Skill. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- scale_min
- 0.0
- units
- days
- standard units*
- 86400 second
- history
- max over X[16.75W, 19.75E] Y[5.25N, 19.75N] S[0000 1 Apr 1982, 0000 1 Apr 2014]
Last updated: Fri, 01 Jun 2018 13:30:16 GMT
Data Views
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