Data Library NextGen CPT Estacional CHIRPS Guatemala V2 NextGen Forecast Probabilities
percentile
CountM
X119.95W - 69.95W
Y5S - 40N
L2.5 months
SJun-Oct 2021
served from 45.183.221.150

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

NextGen Forecast Probabilities 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
S (forecast_reference_time)
grid: /S (days since 1960-01-01) ordered [ (0000 1 Jun 2021) (0000 1 Jul 2021) (0000 1 Aug 2021) (0000 1 Sep 2021) (0000 1 Oct 2021) (0000 1 Nov 2021)] :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
2.035-40 Bajo
3.040-45 Bajo
4.045-50 Bajo
5.050-55 Bajo
6.055-60 Bajo
7.060-65 Bajo
8.065-70 Bajo
9.070-75 Bajo
10.075-80 Bajo
11.0≥80 Bajo
12.0≤35 Normal
13.035-40 Normal
14.040-45 Normal
15.045-50 Normal
16.050-55 Normal
17.055-60 Normal
18.060-65 Normal
19.065-70 Normal
20.070-75 Normal
21.075-80 Normal
22.0≥80 Normal
23.0≤35 Sobre
24.035-40 Sobre
25.040-45 Sobre
26.045-50 Sobre
27.050-55 Sobre
28.055-60 Sobre
29.060-65 Sobre
30.065-70 Sobre
31.070-75 Sobre
32.075-80 Sobre
33.0≥80 Sobre
bufferwordsize
4
CE
33
colorscalename
halfgreyscale
CS
1
datatype
realarraytype
file_missing_value
0
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

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NextGen CPT Estacional CHIRPS Guatemala V2[ ]
[ X Y | L S]MMMM


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. Average over X Y S | X Y X S Y S | 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 |
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