Data Library NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROBABILITIES
percentile
CountM
X119.95W - 69.95W
Y5S - 40N
L2.5 months
SNov 2015 - Jun 2023
served from 45.183.221.150

NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROBABILITIES: Probabilidades data

Probabilidades from NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast: Forecast and Error.

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 Nov 2015) to (0000 1 Jul 2023) by 1.0 N= 93 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
2.035-40 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 REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Sobre ]
dominant_class over PROB_FCST[≤35, ≥80]
masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Normal ]
dominant_class over PROB_FCST[≤35, ≥80]
masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST Bajo ]
dominant_class over PROB_FCST[≤35, ≥80]
maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 Models1 CanSIPS-IC3 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
colorscale

Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 00:00:00 GMT

Data Views

LSXY
[ 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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