Data Library max max [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ]
percentile
X94.5W - 86.5W
L2.5 months
served from 45.183.221.150

max max [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ] : Probabilidades data

PROBABILITIES max Probabilidades from NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months
grid: /L (months) ordered [ (2.5)] :grid
Longitud (longitude)
grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 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 ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Sobre ]
dominant_class over PROB_FCST[≤35, ≥80]
masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Normal ]
dominant_class over PROB_FCST[≤35, ≥80]
masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST Bajo ]
dominant_class over PROB_FCST[≤35, ≥80]
maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala CMC2-CanCM4 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
max [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ]
max over S[0000 1 Jan 2019, 0000 1 Jul 2019]

max max [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ]
max over Y[12N, 19N]
colorscale

Last updated: Fri, 10 Apr 2020 20:38:10 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

LX
[ X | L]MM


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 |
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Convert units from ids to

Note on units