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min [ ICPAC Forecasts CPT Rainfall Seasonal Forecast Forecast ]: forecast data
Forecast forecast from ICPAC Forecasts CPT Rainfall Seasonal Forecast: Forecast and Error. isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- 1000
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- scale_max
- 1000.0
- scale_min
- 0.0
- units
- mm
- standard units*
- 0.001 meter
- history
- min over X[22E, 51.25E] Y[11.5S, 23N] S[0000 1 Feb 2001, 0000 1 Feb 2020]
- colorscale
Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Expires: Tue, 09 Mar 2021 00:00:00 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