data: min $integral dY$ [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROBABILITIES ]

served from 45.183.221.150

min ∫dY [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROBABILITIES ] : Probabilidades data

PROBABILITIES int_dY Probabilidades from NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 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 Jan 2021) by 1.0 N= 25 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize

CE

colorscalename

halfgreyscale

CS

datatype

doublearraytype

file_missing_value

fnname

maskle

maxncolor

254

missing_value

NaN

pointwidth

units

ids degree_north

history

[ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]

dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]

dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Sobre ]
dominant_class over PROB_FCST[≤35, ≥80]

masklt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]

dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]

dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Normal ]
dominant_class over PROB_FCST[≤35, ≥80]

masknotrange [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]

dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]

dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST Bajo ]
dominant_class over PROB_FCST[≤35, ≥80]

maskgt [ ( { dominant_class [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]

min $integral dY$ [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROBABILITIES ]

min over Y[11.5N, 19.5N]

colorscale

Last updated: Wed, 06 Jan 2021 16:05:25 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L	S	X
min $integral dY$ [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROBABILITIES ] 2.5 months[ X \| L S]	M	M	M

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.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along X S
Differentiate along X S
Take differences along X S

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 |

Note on units