served from 45.183.221.150
mean [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities ]: Probabilidades data
Probabilities Probabilidades from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (39.95N) to (4.95S) by 0.1 N= 450 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
- units
- ids
- history
- [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ) + masklt ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ] + masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ]
dominant_class over Probabilities-Categories[≤35, ≥80]
- masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ]
dominant_class over Probabilities-Categories[≤35, ≥80]
- masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ] + masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Bajo ]
dominant_class over Probabilities-Categories[≤35, ≥80]
- maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Bajo ]
- Averaged over S[0000 1 Nov 2015, 0000 1 May 2023] minimum 0.0% data present
- [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ) + masklt ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ) - 1. ] * 11. } , 10 , 12 ) ]
Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | X | Y | |
 mean [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities ] 2.5 months[ X Y L |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units