Data Library NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast Probabilities
percentile
CountM
X119.95W - 69.95W
Y5S - 40N
L2.5 months
SMar 2023 - Oct 2024
served from 45.183.221.150

NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast Probabilities: Probabilidades data

Probabilities Probabilidades from NextGen CPT Estacional CHIRPS Guatemala NextGenL2 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 (days since 1960-01-01) ordered [ (0000 1 Mar 2023) (0000 1 Apr 2023) (0000 1 May 2023) (0000 1 Jun 2023) (0000 1 Jul 2023) (0000 1 Aug 2023) (0000 1 Sep 2023) (0000 1 Oct 2023) (0000 1 Nov 2023) (0000 1 Dec 2023) (0000 1 Jan 2024) (0000 1 Feb 2024) (0000 1 Mar 2024) (0000 1 Apr 2024) (0000 1 May 2024) (0000 1 Jun 2024) (0000 1 Jul 2024) (0000 1 Aug 2024) (0000 1 Sep 2024) (0000 1 Oct 2024) (0000 1 Nov 2024)] :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 REALTIMEL2 NextGen Forecast Probabilities-Categories Sobre ) + masklt ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ) - 1. ] * 11. } , 10 , 12 ) ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories Sobre ] + masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories Sobre ]
dominant_class over Probabilities-Categories[≤35, ≥80]
masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories Normal ]
dominant_class over Probabilities-Categories[≤35, ≥80]
masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories Bajo ]
dominant_class over Probabilities-Categories[≤35, ≥80]
maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIMEL2 NextGen Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
colorscale

Last updated: Thu, 23 Mar 2023 19:50:42 GMT
Expires: Sun, 09 Apr 2023 00:00:00 GMT

Data Views

LSXY
NextGen CPT Estacional CHIRPS Guatemala NextGenL2 Forecast[ ]
grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :gridM
grid: /Y (degree_north) ordered (39.95N) to (4.95S) by 0.1 N= 450 pts :gridM
grid: /S (months since 1960-01-01) ordered (0000 1 Mar 2023) to (0000 1 Nov 2024) by 1.0 N= 21 pts :gridD
[ 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 |
Convert units from ids to

Note on units