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ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROBABILITIES: Probabilidades data
Probabilidades from ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :grid
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2024) to (0000 1 Dec 2024) by 1.0 N= 12 pts :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (117.6837W) to (28.2837W) by 0.1 N= 895 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (32.6663N) to (49.975S) by 0.10005 N= 827 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 ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Sobre ]
dominant_class over PROB_FCST[≤35, ≥80]
- masklt [ ( { dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Sobre ]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Normal ] + masknotrange [ ( { dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Normal ]
dominant_class over PROB_FCST[≤35, ≥80]
- masknotrange [ ( { dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Normal ]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Sobre ] + masklt [ ( { dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ] - 1. } * 11. ) , 22 ]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Bajo ] + maskgt [ ( { dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Bajo ]
dominant_class over PROB_FCST[≤35, ≥80]
- maskgt [ ( { dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Bajo ]
- [ dominant_class ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Sobre ) + masklt ( { [ dominant_class ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST Normal ) + masknotrange ( { [ dominant_class ( ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROB_FCST ) - 1. ] * 11. } , 10 , 12 ) ]
- colorscale
Last updated: Sun, 15 Dec 2024 14:42:00 GMT
Expires: Thu, 09 Jan 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 ALISIOS NextGen CHIRPS Seasonal OLE2 NASA-GEOSS2S Forecast PROBABILITIES[ X Y | S L] | 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 L
- Differentiate along X Y S L
- Take differences along X Y S L
RMS (root mean square with mean *not* removed) over X Y S L | X Y X S X L Y S Y L S L | X Y S X Y L X S L Y S L | X Y S L |
RMSA (root mean square with mean removed) over X Y S L | X Y X S X L Y S Y L S L | X Y S X Y L X S L Y S L | X Y S L |
Maximum over X Y S L | X Y X S X L Y S Y L S L | X Y S X Y L X S L Y S L | X Y S L |
Minimum over X Y S L | X Y X S X L Y S Y L S L | X Y S X Y L X S L Y S L | X Y S L |
Detrend (best-fit-line) over X Y S L | X Y X S X L Y S Y L S L | X Y S X Y L X S L Y S L | X Y S L |
Note on units