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NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash Forecast PROBABILITIES: Probabilidades data
Probabilidades from NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash 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
- Latitud (latitude)
- grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid
Other Info
| Key | |
|---|---|
| 1.0 | ≤35 Bajo |
| 2.0 | 35-40 Bajo |
| 3.0 | 40-45 Bajo |
| 4.0 | 45-50 Bajo |
| 5.0 | 50-55 Bajo |
| 6.0 | 55-60 Bajo |
| 7.0 | 60-65 Bajo |
| 8.0 | 65-70 Bajo |
| 9.0 | 70-75 Bajo |
| 10.0 | 75-80 Bajo |
| 11.0 | ≥80 Bajo |
| 12.0 | ≤35 Normal |
| 13.0 | 35-40 Normal |
| 14.0 | 40-45 Normal |
| 15.0 | 45-50 Normal |
| 16.0 | 50-55 Normal |
| 17.0 | 55-60 Normal |
| 18.0 | 60-65 Normal |
| 19.0 | 65-70 Normal |
| 20.0 | 70-75 Normal |
| 21.0 | 75-80 Normal |
| 22.0 | ≥80 Normal |
| 23.0 | ≤35 Sobre |
| 24.0 | 35-40 Sobre |
| 25.0 | 40-45 Sobre |
| 26.0 | 45-50 Sobre |
| 27.0 | 50-55 Sobre |
| 28.0 | 55-60 Sobre |
| 29.0 | 60-65 Sobre |
| 30.0 | 65-70 Sobre |
| 31.0 | 70-75 Sobre |
| 32.0 | 75-80 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 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 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 Normal ]
- 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 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]
- dominant_class [ NextGen CPT 1p0 Guatemala NCEP-CFSv2 Forecast PROB_FCST Bajo ]
- [ 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 ) ]
- colorscale
Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Expires: Wed, 09 Sep 2020 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| C | L | S | X | Y | |
 NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash Forecast[target_date
Forecast
PredErrorVars
PROBABILITIES
target_length
PROB_FCST
] | |||||
| NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash Forecast PROB_FCST 2.5 months[ X Y C | S L] | M | M | M | M | M |
|---|---|---|---|---|---|
 NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash Forecast PROBABILITIES 2.5 months[ X Y | L S] | M | 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 Y S
- Differentiate along X Y S
- Take differences along 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 |
Note on units