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∫dS max ∫dY root mean sq [ OLE2 CPT ESCENARIO2 PRECIPITACION ] : Probabilidades - Precipitación - Categorías data
∫dS max ∫dY root mean sq [ OLE2 CPT ESCENARIO2 PRECIPITACION ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1999) to (0000 16 Dec 2025) by 1.0 N= 313 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (33N) to (63S) by 0.5 N= 193 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 1.45444104332861×10-05 radian north year
- history
- $integral dS$ max $integral dY$ root mean sq [ OLE2 CPT ESCENARIO2 PRECIPITACION ]
- Averaged over X[117.75W, 28.25W] minimum 0.0% data present
max over C[Bajo la Normal, Sobre la Normal]
- Averaged over X[117.75W, 28.25W] 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
data as colors
data as contours| L | S | Y | |
 $integral dS$ max $integral dY$ root mean sq [ OLE2 CPT ESCENARIO2 PRECIPITACION ] 2.5 months[ Y | S L] | M | 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 S
- Differentiate along Y S
- Take differences along Y S
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |
Note on units