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root mean sq anom [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROBABILITIES ]: Probabilidades data
PROBABILITIES Probabilidades from NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast: Forecast and Error. 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
- history
- [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Sobre ]
dominant_class over PROB_FCST[≤35, ≥80]
- masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Sobre ]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Normal ]
dominant_class over PROB_FCST[≤35, ≥80]
- masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Normal ]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Bajo ]
dominant_class over PROB_FCST[≤35, ≥80]
- maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Bajo ]
- Averaged over X[94W, 87W] Y[12N, 19N] S[0000 1 Jan 2019, 0000 1 Jan 2021] minimum 0.0% data present
- [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-B01 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
Last updated: Wed, 06 Jan 2021 16:05:27 GMT
Expires: Sat, 09 May 2020 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