served from 129.236.110.25
mean [ OLE2 CPT ESCENARIO1 PROPENSIONTMED ]: Propensión -Temperatura Media data
mean [ OLE2 CPT ESCENARIO1 PROPENSIONTMED ].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 Mar 2025) by 1.0 N= 303 pts :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
- history
- [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Sobre la Normal ]
dominant_class over ODDSTMED[0, >9.0]
- masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Sobre la Normal ]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Normal ]
dominant_class over ODDSTMED[0, >9.0]
- masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Normal ]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED ] - 1. } * 11. ) , 22 ]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED ] - 1. } * 11. ) , 0 ]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Bajo la Normal ]
dominant_class over ODDSTMED[0, >9.0]
- maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
- dominant_class [ OLE2 CPT ESCENARIO1 ODDSTMED Bajo la Normal ]
- Averaged over X[118W, 28W] Y[63S, 33N] minimum 0.0% data present
- [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO1 ODDSTMED ) - 1. ] * 11. } , 10 , 12 ) ]
Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT
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OLE2 CPT ESCENARIO1[
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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units