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∫dS [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ]: Probabilidades data
PROBABILITIES Probabilidades from NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 16 Dec 2018) to (0000 16 Jul 2019) by 1.0 N= 8 pts :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 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 months
- history
- [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ]
dominant_class over PROB_FCST[≤35, ≥80]
- masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ]
dominant_class over PROB_FCST[≤35, ≥80]
- masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Bajo ]
dominant_class over PROB_FCST[≤35, ≥80]
- maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Bajo ]
- [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
Last updated: Fri, 10 Apr 2020 20:38:10 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| L | S | X | Y | |
 $integral dS$ [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ] 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