served from 129.236.110.25
mean ∂S root mean sq ∫dS [ OLE2 CPT ESCENARIO2 PRECIPITACION ] : ∂S Probabilidades - Precipitación - Categorías data
mean ∂S root mean sq ∫dS [ OLE2 CPT ESCENARIO2 PRECIPITACION ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- mean $partialdiff sub S$ root mean sq $integral dS$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ]
- Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present
Averaged over X[118W, 28W] S[16 Dec 1999 - 15 Jan 2000, 16 Nov 2025 - 15 Dec 2025] minimum 0.0% data present
- Averaged over C[Bajo la Normal, Sobre la Normal] 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
Views
line plots
color bars
scatter| L | Y | |
 mean $partialdiff sub S$ root mean sq $integral dS$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ] 2.5 months[ Y | L] | M | 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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units