Data Library CMC CPT LIGHTNING ESCENARIO1 PROBABILIDADES
X95W - 57W
Y3N - 25N
L2.5 months
SDec 2016 - Feb 2021
served from 129.236.110.25

CMC CPT LIGHTNING ESCENARIO1 PROBABILIDADES: Probabilidades - Descargas Electroamosféricas data

CMC CPT LIGHTNING ESCENARIO1 PROBABILIDADES.

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 Dec 2016) to (0000 1 Mar 2021) by 1.0 N= 52 pts :grid
Longitud (longitude)
grid: /X (degree_east) ordered (94.75W) to (57.25W) by 0.5 N= 76 pts :grid
Latitud (latitude)
grid: /Y (degree_north) ordered (24.75N) to (3.25N) by 0.5 N= 44 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
pointwidth
0
scale_max
33.0
scale_min
1.0
units
ids
history
[ dominant_class ( CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Sobre la Normal ) + masklt ( { [ dominant_class ( CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Normal ) + masknotrange ( { [ dominant_class ( CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ) - 1. ] * 11. } , 10 , 12 ) ]
dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Sobre la Normal ] + masklt [ ( { dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ] - 1. } * 11. ) , 22 ]
dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Sobre la Normal ]
dominant_class over LIGHTNING[<35, >80]
masklt [ ( { dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Normal ] + masknotrange [ ( { dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ] - 1. } * 11. ) , 10 , 12 ]
dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Normal ]
dominant_class over LIGHTNING[<35, >80]
masknotrange [ ( { dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Bajo la Normal ] + maskgt [ ( { dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ] - 1. } * 11. ) , 0 ]
dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING Bajo la Normal ]
dominant_class over LIGHTNING[<35, >80]
maskgt [ ( { dominant_class [ CMC CPT LIGHTNING ESCENARIO1 LIGHTNING ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
colorscale

Last updated: Mon, 28 Feb 2022 18:41:31 GMT
Expires: Sat, 05 Mar 2022 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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Note on units