served from 129.236.110.25
min ∂Y mean ∫dS [ OLE2 CPT ESCENARIO1 PRECIPITACION ] : ∂Y Probabilidades - Precipitación - Categorías data
min ∂Y mean ∫dS [ OLE2 CPT ESCENARIO1 PRECIPITACION ] . isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0477464829275686 radian-1 north year
- history
- min $partialdiff sub Y$ mean $integral dS$ [ OLE2 CPT ESCENARIO1 PRECIPITACION ]
- Averaged over X[118W, 28W] C[, ] S[0000 16 Dec 1999, 0000 16 Dec 2025] minimum 0.0% data present
min over Y[32.5N, 62.5S]
- Averaged over X[118W, 28W] C[, ] S[0000 16 Dec 1999, 0000 16 Dec 2025] minimum 0.0% data present
Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT
Data Views
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 min $partialdiff sub Y$ mean $integral dS$ [ OLE2 CPT ESCENARIO1 PRECIPITACION ] 2.5 months[ | L] | M |
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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