data: NextGen CPT 0p1 Guatemala V4 NextGen Forecast Probabilities-Categories

NextGen CPT 0p1 Guatemala V4 NextGen Forecast Probabilities-Categories: Probabilidades - Categorías data

NextGen Forecast Probabilidades - Categorías from NextGen CPT 0p1 Guatemala V4: Forecast: Apr 2022 - Jun 2023 . [Models NextGen ] .

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo) (Normal) (Sobre)] :grid
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 Apr 2022) to (0000 1 Jun 2023) by 1.0 N= 15 pts :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

CE: null
CS: null
datatype: realarraytype
file_missing_value: -1.0
missing_value: NaN
units: percent
standard units*: 0.01

Last updated: Mon, 24 Jul 2023 02:32:31 GMT

Data Views

	C	L	S	X	Y
NextGen CPT 0p1 Guatemala V4[NextGen Models ]
NextGen CPT 0p1 Guatemala V4 NextGen Forecast Probabilities-Categories 2.5 months[ X Y C \| L S]	M	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 C S
Differentiate along X Y C S
Take differences along X Y C S