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max Y [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast PROBABILITIES ] : Y Probabilidades data

PROBABILITIES partial_Y Y Probabilidades from NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY 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 Jan 2019) to (0000 1 Sep 2021) by 1.0 N= 33 pts :grid
Longitud (longitude)
grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize
4
CE
33
colorscalename
halfgreyscale
CS
1
datatype
realarraytype
file_missing_value
0
fnname
maskle
maxncolor
254
missing_value
NaN
pointwidth
0
units
ids /degree_north
history
[ dominant_class ( NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Sobre ]
dominant_class over PROB_FCST[≤35, ≥80]
masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Normal ]
dominant_class over PROB_FCST[≤35, ≥80]
masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Bajo ]
dominant_class over PROB_FCST[≤35, ≥80]
maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
max $partialdiff sub Y$ [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-PY Forecast PROBABILITIES ]
max over Y[12.5N, 18.5N]
colorscale

Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Expires: Thu, 09 Dec 2021 00:00:00 GMT

Data Views

LSX
[ X | L S]MMM


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

Note on units