поставляется с 129.236.110.25
∫dS [ OLE2 CPT ESCENARIO1 PROBABILIDADES ]: Probabilidades - Precipitación data
∫dS [ OLE2 CPT ESCENARIO1 PROBABILIDADES ].Независимые Переменные (Сетки)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (16 Dec 1999 - 15 Jan 2000) to (16 Apr 2025 - 15 May 2025) by 1.0 N= 305 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (117.5W) to (28.5W) by 0.5 N= 179 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid
Другая Информация
- CE
- null
- colorscalename
- halfgreyscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 0
- fnname
- maskle
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- ids months
- history
- [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ]
dominant_class over PRECIPITACION[<35, >80]
- masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Normal ]
dominant_class over PRECIPITACION[<35, >80]
- masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Normal ]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 0 ]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Bajo la Normal ]
dominant_class over PRECIPITACION[<35, >80]
- maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO1 PRECIPITACION Bajo la Normal ]
- [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO1 PRECIPITACION ) - 1. ] * 11. } , 10 , 12 ) ]
Последние изменения: Tue, 06 May 2025 06:30:01 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 $integral dS$ [ OLE2 CPT ESCENARIO1 PROBABILIDADES ] 2.5 months[ X Y | L S] | M | M | M | M |
|---|
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 Y S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units