max [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities ]: Probabilidades data
Probabilities Probabilities Probabilidades from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error.
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (39.95N) to (4.95S) by 0.1 N= 450 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
- scale_max
- 33.0
- scale_min
- 1.0
- units
- ids
- history
- [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ) + masklt ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ) + masknotrange ( { [ dominant_class ( NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ) - 1. ] * 11. } , 10 , 12 ) ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ] + masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Sobre ]
dominant_class over Probabilities-Categories[≤35, ≥80]
- masklt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ] + masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Normal ]
dominant_class over Probabilities-Categories[≤35, ≥80]
- masknotrange [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo, Sobre]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Bajo ] + maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]
- dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories Bajo ]
dominant_class over Probabilities-Categories[≤35, ≥80]
- maskgt [ ( { dominant_class [ NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Probabilities-Categories ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo, Sobre]
max [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Probabilities ]- max over S[0000 1 Nov 2015, 0000 1 May 2023]
- colorscale
Last updated: Thu, 27 Jul 2023 16:42:19 GMT
Expires: Thu, 09 Feb 2023 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 X
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
X Y
|
RMS (root mean square with mean *not* removed) over
X
Y
|
X Y
|
RMSA (root mean square with mean removed) over
X
Y
|
X Y
|
Maximum over
X
Y
|
X Y
|
Minimum over
X
Y
|
X Y
|
Detrend (best-fit-line) over
X
Y
|
X Y
|
Note on units