served from 129.236.110.25
root mean sq root mean sq ∫dX ∂X [ OLE2 CPT ESCENARIO2 PROBABILIDADES ] : ∂X Probabilidades - Precipitación data
root mean sq root mean sq ∫dX ∂X [ OLE2 CPT ESCENARIO2 PROBABILIDADES ] . isIndependent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- halfgreyscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 0
- fnname
- maskle
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- ids /degree_east degree_east
- history
- [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ]
dominant_class over PRECIPITACION[<35, >80]
- masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Normal ]
dominant_class over PRECIPITACION[<35, >80]
- masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 0 ]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Bajo la Normal ]
dominant_class over PRECIPITACION[<35, >80]
- maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 PRECIPITACION Bajo la Normal ]
- Averaged over S[0000 1 Jan 2000, 0000 1 Mar 2025] minimum 0.0% data present
root mean sq root mean sq $integral dX$ $partialdiff sub X$ [ OLE2 CPT ESCENARIO2 PROBABILIDADES ]- Averaged over X[118W, 28W] Y[63S, 33N] minimum 0.0% data present
- [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 PRECIPITACION ) - 1. ] * 11. } , 10 , 12 ) ]
Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT
Data Views
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