data: NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities

NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities: Probabilidades data

NextGen Forecast Probabilidades from NextGen CPT Estacional CHIRPS Guatemala V2: Forecast: Jun 2021 - Nov 2021. [Models NextGen ] .

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 Jun 2021) to (0000 1 Nov 2021) by 1.0 N= 6 pts :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

Key
1.0	≤35 Bajo
2.0	35-40 Bajo
3.0	40-45 Bajo
4.0	45-50 Bajo
5.0	50-55 Bajo
6.0	55-60 Bajo
7.0	60-65 Bajo
8.0	65-70 Bajo
9.0	70-75 Bajo
10.0	75-80 Bajo
11.0	≥80 Bajo
12.0	≤35 Normal
13.0	35-40 Normal
14.0	40-45 Normal
15.0	45-50 Normal
16.0	50-55 Normal
17.0	55-60 Normal
18.0	60-65 Normal
19.0	65-70 Normal
20.0	70-75 Normal
21.0	75-80 Normal
22.0	≥80 Normal
23.0	≤35 Sobre
24.0	35-40 Sobre
25.0	40-45 Sobre
26.0	45-50 Sobre
27.0	50-55 Sobre
28.0	55-60 Sobre
29.0	60-65 Sobre
30.0	65-70 Sobre
31.0	70-75 Sobre
32.0	75-80 Sobre
33.0	≥80 Sobre

bufferwordsize

CE

colorscalename

halfgreyscale

CS

datatype

realarraytype

file_missing_value

fnname

maskle

maxncolor

254

missing_value

NaN

scale_max

33.0

scale_min

1.0

units

ids

history

[ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Sobre ) + masklt ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ) - 1. ] * 11. } , 10 , 12 ) ]

dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Sobre ] + masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]

dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Sobre ]
dominant_class over Probabilities-Categories[≤35, ≥80]

masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]

dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]

dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Normal ]
dominant_class over Probabilities-Categories[≤35, ≥80]

masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]

dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]

dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories Bajo ]
dominant_class over Probabilities-Categories[≤35, ≥80]

maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]

colorscale

Last updated: Tue, 26 Apr 2022 17:13:11 GMT

Data Views

	L	S	X	Y
NextGen CPT Estacional CHIRPS Guatemala V2[NextGen Models ]
grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid			M
grid: /Y (degree_north) ordered (39.95N) to (4.95S) by 0.1 N= 450 pts :grid				M
grid: /S (months since 1960-01-01) ordered (0000 1 Jun 2021) to (0000 1 Nov 2021) by 1.0 N= 6 pts :grid		M
NextGen CPT Estacional CHIRPS Guatemala V2 NextGen 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