served from 129.236.110.25
root mean sq root mean sq mean ∂S ∫dS [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ] : ∂S Propensión - Días Lluviosos data
root mean sq root mean sq mean ∂S ∫dS [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ] . 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 months /months
- history
- [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ]
dominant_class over ODDSWETDAYS[0, >9.0]
- masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ]
dominant_class over ODDSWETDAYS[0, >9.0]
- masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 0 ]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Bajo la Normal ]
dominant_class over ODDSWETDAYS[0, >9.0]
- maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO2 ODDSWETDAYS Bajo la Normal ]
- Averaged over S[16 Dec 1999 - 15 Jan 2000, 16 Nov 2025 - 15 Dec 2025] minimum 0.0% data present
root mean sq mean $partialdiff sub S$ $integral dS$ [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ]- Averaged over Y[63S, 33N] minimum 0.0% data present
root mean sq root mean sq mean $partialdiff sub S$ $integral dS$ [ OLE2 CPT ESCENARIO2 PROPENSIONWETDAYS ]- Averaged over X[118W, 28W] minimum 0.0% data present
- [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO2 ODDSWETDAYS ) - 1. ] * 11. } , 10 , 12 ) ]
Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 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