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∂X max max ∂X ∂Y [ OLE2 CPT ESCENARIO2 PRECIPITACION ] : ∂X ∂X ∂Y Probabilidades - Precipitación - Categorías data
∂X max max ∂X ∂Y [ OLE2 CPT ESCENARIO2 PRECIPITACION ] .Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (117.25W) to (28.75W) by 0.5 N= 178 pts :grid
Other Info
- CE
- 100
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -1.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 1880.90948814419 radian-3 north
- history
- $partialdiff sub X$ max max $partialdiff sub X$ $partialdiff sub Y$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ]
- max over C[Bajo la Normal, Sobre la Normal]
max over Y[32.5N, 62.5S]
- max over C[Bajo la Normal, Sobre la Normal]
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 | X | |
 $partialdiff sub X$ max max $partialdiff sub X$ $partialdiff sub Y$ [ OLE2 CPT ESCENARIO2 PRECIPITACION ] 2.5 months[ X | 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 X S
- Differentiate along X S
- Take differences along X S
RMS (root mean square with mean *not* removed) over X S | X S |
RMSA (root mean square with mean removed) over X S | X S |
Maximum over X S | X S |
Minimum over X S | X S |
Detrend (best-fit-line) over X S | X S |
Note on units