data: NextGen CPT 0p1 Guatemala V1 NextGen Forecast Probabilities-Categories

NextGen CPT 0p1 Guatemala V1 NextGen Forecast Probabilities-Categories: Probabilidades - Categorías data

NextGen Forecast Probabilidades - Categorías from NextGen CPT 0p1 Guatemala V1: Forecast: Jan 2019 - May 2021. [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 Jan 2019) to (0000 1 May 2021) by 1.0 N= 29 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: Thu, 17 Feb 2022 19:19:39 GMT

Data Views

	C	L	S	X	Y
NextGen CPT 0p1 Guatemala V1 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