root mean sq anom ∫dX [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ] : Probabilidades data
PROBABILITIES int_dX 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
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2019) to (0000 1 Jul 2019) by 1.0 N= 7 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- halfgreyscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 0
- fnname
- maskle
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- ids degree_east
- 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]
root mean sq anom $integral dX$ [ NextGen CPT Estacional CPC Guatemala CMC2-CanCM4 Forecast PROBABILITIES ] - Averaged over X[94.5W, 86.5W] minimum 0.0% data present
Last updated: Fri, 10 Apr 2020 20:38:10 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT
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 Y
S
- Differentiate along Y
S
- Take differences along Y
S
Average over
Y
S
|
Y S
|
RMS (root mean square with mean *not* removed) over
Y
S
|
Y S
|
RMSA (root mean square with mean removed) over
Y
S
|
Y S
|
Maximum over
Y
S
|
Y S
|
Minimum over
Y
S
|
Y S
|
Detrend (best-fit-line) over
Y
S
|
Y S
|
Note on units